eISSN: 2084-9869
ISSN: 1233-9687
Polish Journal of Pathology
Current issue Archive Manuscripts accepted About the journal Supplements Editorial board Abstracting and indexing Subscription Contact Instructions for authors Ethical standards and procedures
SCImago Journal & Country Rank
vol. 62

Prognostic and predictive markers in hematologic neoplasms. A review*

Wojciech Gorczyca

POL J PATHOL 2011; 4: 189-205
Online publish date: 2012/01/10
Article file
Get citation
JabRef, Mendeley
Papers, Reference Manager, RefWorks, Zotero


Clinical behaviour, response to treatment and prognosis vary greatly not only between different hematopoietic neoplasms, but also within individual disorders. Establishing the proper diagnosis is just the first step in patients’ management. The decision about the initiation of therapy and type of treatment is often dictated by many additional parameters, which may vary from standard laboratory values to complex prognostic indices to new sophisticated molecular tests. With the improved treatment modalities many prior parameters lose their prognostic or predictive values. The development of targeted therapy dictates the need for constant update of the prognostic parameters and better definition of predictive markers, more and more at the molecular level.

The prognostic and predictive parameters can be broadly divided into standard and novel markers. The former include clinical data, laboratory values, morphologic and immunophenotypic features and the latter include chromosomal and molecular markers. In the first part of this review, individual parameters will be briefly described and the second part will summarize the prognostic and predictive values in most common hematologic neoplasms.

Clinical and laboratory parameters


Age is an important prognostic marker in both indolent and aggressive hematologic tumours. Generally, the older the patient the worse the prognosis. This can be explained, at least partially, by decreased tolerance of older patients to toxic therapies and by comorbidities common in this age group. Patients with a history of chemotherapy (e.g. for solid tumours) have an inferior response to treatment of newly diagnosed hematologic malignancy. Older patients have also a “better” chance of suffering from preceding disorders, which often influence treatment options and prognosis, e.g. pre-existing myelodysplasia in elderly patients with acute myeloid leukaemia (AML). Considering age and prognosis, one has to remember that patient’s “fitness”/performance status and tolerance for treatment are more important than the actual age.

Patients with AML above 60 years of age have a poorer prognosis (older patients have a higher frequency of leukemic cells with multidrug resistance and unfavourable karyotypes). Paediatric patients with AML have slightly better results than adults with AML, and are currently reported to have disease-free survival (DFS) rates in the 40% to 66% range (the group below 2 years has a slightly worse prognosis). Among adult patients with acute lymphoblastic leukaemia (ALL), those above 35 years old have a worse prognosis and among children, the best prognosis is reported between the age of 1 and 10 (infants below 1 year old and children above 10 years old have a worse prognosis). As age increases, the percentage of ALL patients with unfavourable karyotype such as t(9;22) rises. The survival for ALL patients above 75 years old is 3% [1]. In Burkitt lymphoma (BL), age > 10 years is a poor prognostic factor [2]. In splenic marginal zone lymphoma, age and haemoglobin levels, not chromosomal changes appear to influence the prognosis [3, 4]. In Hodgkin lymphoma (HL) and multiple myeloma (MM), patients above 45 and 65 years of age have poorer outcomes, respectively. The median overall survival among patients with MM aged < 65 years is 42 months, and > 65 years is 18 months [5].


Among primary cutaneous lymphomas, those located in the head and neck area have better prognoses than those located in lower extremities (diffuse large B-cell lymphoma, leg type). Nodal follicular lymphoma (FL) has a worse prognosis than primary FL of the gastrointestinal tract, but nodal diffuse large B-cell lymphoma (DLBCL) has a better prognosis than primary DLBCL of the testis or central nervous system (CNS). Extranodal marginal zone lymphoma (MZL; MALT type) have a more favourable prognosis than primary nodal MZL.

Stage/prognostic indices

Stage of the disease is one of the most important prognostic factors. It is often incorporated into prognostic indices, separate for specific disease, such as the International Prognostic Index (IPI) for lymphoma, Follicular Lymphoma IPI, International Prognostic Scoring System (IPSS) for myelodysplastic syndromes (MDS), Rai and Binet staging systems for chronic lymphocytic leukaemia (CLL) and modified Ann Arbor staging system for Hodgkin lymphoma.

IPI is widely used as a predictive model in DLBCL patients of all ages and stages. The IPI combines patient age with easily measured clinical parameters, which can serve as surrogate markers of tumour burden: performance status, stage, extranodal involvement, and serum LDH levels. The subdivision of patients according to the number of prognostic factors into low risk (none or one factor), low-intermediate (two factors), high-intermediate (3 factors), or high risk (four or five factors) with predicted 5-year overall survival values of 73%, 51%, 43%, and 26%, rapidly became the most widely used and accepted prognostic model for intermediate-grade lymphoma.

IPSS based on the percent of blasts in the BM (< 5%, 5-10%, 11-19% and 20-30%), type of cytogenetic abnormalities [good (normal karyotype, -Y, del(5q) and del(20q); poor ( 3 abnormalities or chro­mosome 7 anomalies); intermediate (all other)] and number of cytopenias [defined as haemoglobin (Hgb) < 10 g/dl, neutrophils < 1.8 × 109/l and platelets < 100 × 109/l] is being used to predict survival and risk of progression into AML in MDS patients.

The prognosis of patients with mycosis fungoides (MF) is dependent on stage, and in particular the type and extent of skin lesions and the presence of extracutaneous disease [6, 7]. Patients with limited patch/ plaque-stage MF have similar life expectancy to an age-, sex- and race-matched control population, whereas patients with cutaneous tumours or generalized erythroderma have a median survival of 3 and 4.5 years, respectively.

Serological markers

The levels of Hgb and several serum markers, such as 2-microglobulin and lactate dehydrogenase (LDH) have been identified as prognostic markers in malignant lymphomas and plasma cell myeloma. Their levels correspond to tumour burden, Hgb being low and both 2-microglobulin and LDH being high in the advanced disease.

Response to treatment

The response to treatment is one of the best prognostic parameters; its only disadvantage is the fact that it is not available at the time of diagnosis. AML patients with complete response (CR) after induction therapy have a much better prognosis than those without CR (even patients with partial CR, i.e. those with blasts below 5% and low blood CBC values are more likely to relapse than patients with CR). Most patients with AML do relapse, indicating that they have residual disease even in CR. Thus, evaluation of minimal residual disease (MRD) has become an important factor in management of patients with acute leukaemia. The MRD in AML can be assessed by flow cytometry immunophenotyping (identification of aberrant phenotype of blasts; leukaemia-associated phenotype or LAP), chromosomal (metaphase cytogenetic or FISH) and molecular tests (e.g. RUNX1-CBFA2T1, CBFB-MYH11, or PML-RARA). In ALL patients, treatment response is being increasingly evaluated with MRD assays, either by PCR (clonal rearrangement of Ig and TCR) or flow cytometry. Both methods allow for detection of one ALL cell among 10,000 to 100,000 normal cells (MRD positivity being defined by the presence of 0.01% or more ALL cells). The risk of relapse is proportional to the level of MRD, especially if measured during or at the end of remission-induction therapy. Patients who attain MRD < 0.01% early during therapy have high odds to remain in continuous CR with contemporary post-remission therapy.

Morphological parameters


The histological grade correlates with a prognosis in FL, with grade 1-2 cases being indolent and not usually curable, except for the infrequent patients with localized disease. The majority of published studies show a significantly more aggressive clinical course for FL classified as grade 3 (or composed of large cells). Cases of grade 3 FL with diffuse areas > 25% (now recognized as areas of DLBCL) have a worse prognosis than purely follicular cases [8, 9].

In plasma cell myeloma, high grade tumours with anaplastic or plasmablastic features are associated with a poor prognosis. Although mantle cell lymphomas (MCL) are not graded, blastoid and pleomorphic variants are associated with an aggressive clinical course. An increased number of mitoses in MCL is associated with more aggressive clinical behaviour; high mitotic rate (> 10-37.5/15 hpf, > 50/mm2) is the most consistently reported adverse histopathological prognostic parameter [10, 11].

High grade and clinically aggressive B-cell lymphomas include Burkitt lymphoma, B-cell lymphoma, unclassifiable with features intermediate between BL and DLBCL, and B-cell lymphomas with plasmablastic features.


Transformation of CLL to more aggressive disease occurs in 5-10% of patients. Clinical and laboratory features observed in patients with transformation include generalized adenopathy, systemic symptoms (fever, weight loss, and worsened performance status), cytopenia (anaemia and/or thrombocytopenia), increased LDH level, hypercalcemia, and monoclonal gammopathy [12-16]. Morphological progression of CLL/SLL is represented by prolymphocytic transformation [17, 18], paraimmunoblastic variant [19], HL [20-24], DLBCL [13, 15, 25-28], and rarely precursor B-lymphoblastic lymphoma/ leukaemia (B-ALL) [29]. CLL can also get complicated by the development of the neoplasm that morphologically and immunophenotypically resembles classical HL and may be considered a Hodgkin variant of Richter’s syndrome (Hodgkin transformation of CLL/SLL) [15, 16, 30, 31]. In a series reported by Tsimberidou et al., 0.4% patients with CLL developed Hodgkin transformation with the median time from CLL diagnosis to transformation of 4.6 years [30]. EBV virus plays an important role in the pathogenesis of Hodgkin transformation of CLL [30, 32]. Two types of Hodgkin transformation of CLL/SLL have been described, one with large tumour cells (Reed-Sternberg cells and their variants) in the background of CLL cells (type 1) and the other with polymorphous lymphohistiocytic infiltrate separate from CLL cells (type 2) [21-23, 33-35]. It is likely that type 1 transformation represents histologic progression of the underlying CLL, and type 2 transformation represents 2 different, albeit related diseases. A clonal relationship between CLL cells and Hodgkin/Reed-Sternberg cells was demonstrated in 3 of 4 patients who had Hodgkin transformation of CLL by using single-cell PCR analysis and DNA sequencing [20]. In contrast to a generally favourable outcome of patients with de novo HL, only 34-47% of patients with Richter’s syndrome respond to multiagent chemotherapy and the median overall survival is 8 months [16, 30]. Even patients responding to multiagent chemotherapy, such as ABVD eventually develop recurrent disease after a short period of time.

Follicular lymphoma often undergoes transformation to more aggressive or high grade lymphomas. Morphologically, progression of FL is characterized by an increased number of centroblasts (progression from FL grade 1 into FL grade 2 and/or 3), diffuse large B-cell lymphoma (DLBCL) [36-39], or less often blastic transformation in the form of BL or precursor B-lymphoblastic lymphoma/leukaemia with or without TdT expression [40-43].

In nodal MZL, presence of sheets of large cells and/or more than 50% of large cells should raise the possibility of progression into DLBCL (DLBCL and nodal MZL). Kojima et al. recently reported a series of 65 cases of nodal MZL, of which 20 cases had more than 50% of large cells or sheets of large cells and were classified as nodal MZL and DLBCL [44]. Those cases had a significantly worse outcome. The overall criteria for progression of nodal MZL into DLBCL are not well established, and there is no cutoff for proliferation (Ki67) to aid in this distinction.

Mycosis fungoides is usually classified as transformed if biopsy shows large cells ( 4 times the size of a small lymphocyte) in more than 25% of the infiltrate or if they formed microscopic nodules [45-47]. Transformation has been associated with an expression of CD30 in approximately 40% of cases [48]. The transformation is more common in patients with tumours and with a more advanced clinical stage of the disease; however a small number of patients can be histologically identified before clinical progression. Some studies showed the presence of usually small, but variable numbers of CD30+ cells in non-transformed MF [49]. The increased number of CD30+ cells in the epidermis is typical of pagetoid reticulosis. The survival in patients with transformed cutaneous lymphoma is significantly shorter than in patients without transformation; survival after diagnosis of transformation is short [45, 46, 50]. Patients with transformation have a relatively poor survival, especially if transformation occurs early (within 2 years) in the course of disease or if they are at a higher stage. Patients with extracutaneous transformation had a shorter median survival after transformation than those with transformation limited to skin; extracutaneous transformation apparently indicates a poorer prognosis than cutaneous transformation [46]. In univariate analysis by Vergier et al. only extracutaneous progression was associated with a worse prognosis (5-year actuarial survival: 7.8% vs. 32%) [47].

A transformation of essential thrombocythemia (ET) to AML, MDS or myelofibrosis is a relatively rare event and occurs in 1-5% of all patients [51-57]. The risk of leukemic or any myeloid disease transformation is low in the first 10 years (1.4% and 9.1%, respectively) but increases substantially in the second (8.1% and 28.3%, respectively) and third (24.0% and 58.5%, respectively) decades of the disease [51]. Cytogenetic changes that may be associated with the transformation to AML are common and include: t(2;3), der(1;7)(q10;p10), t(2;17), del(17p), trisomy 8, trisomy 21 and chromosome 7 and 13q abnormalities [58-64]. Mutations of the TP53 gene are commonly detected in the blast phase of ET (chronic phase usually lacks the alterations involving the TP53, NRAS, KRAS, and MDM2 genes) [65].

In PV, the risk of disease transformation into marrow fibrosis or myelodysplasia/acute myeloid leukaemia (MDS/AML) increases over time and ranges from 5% to 15% after 10 years of disease [66-70]. ET and PV patients who transformed to acute leukaemia had all been previously exposed to cytotoxic therapy; there were no ET or PV patients in the study who transformed to acute leukaemia exposed solely to anagrelide [71]. Exposure to P32, busulphan, and pipobroman, but not to hydroxyurea, has an independent role in producing an excess risk for progression to AML/MDS compared with treatment with phlebotomy or interferon [72]. Most of the patients die from thrombosis or haemorrhage, but up to 20% succumb to MDS or AML.

MDS can be divided into three risk groups based on the duration of survival and risk of progression into AML: low, intermediate and high risk. Refractory cytopenia with unilineage dysplasia (RCUD) and refractory anaemia with ringed sideroblasts (RARS) belong to low risk. Refractory cytopenia with multilineage dysplasia (RCMD) and refractory anaemia with excess blasts-1 (RAEB-1) belong to intermediate risk and RAEB-2 comprises a high risk group. MDS with del(5q) has the rate of progression into AML from 17% to 25% (with or without lenalidomide treatment) [73, 74]. In low risk MDS, the median survival is approximately 66 months, and for patients above 70 years old is similar to non-affected population. The rate of progression into AML is approximately 2% at 5 years. For RCMD, the overall survival is approximately 30 months and the risk of progression into AML is 10% at 2 years. Approximately 25% of patients with RAEB-1 and 33% of patients with RAEB-2 progress into AML and the remaining patients succumb to complications of BM failure. The median survival is approximately 16 months for RAEB-1 and 9 months for RAEB-2.

Background elements

Klapper et al. reported the association between the presence of sclerosis within the follicular lymphoma (FL) and poor overall survival (independently from the grade or FLIPI) [75]. In FL, an increased number of T-cells is associated with a better prognosis, whereas increased monocytes/macrophages has a poor prognosis [76]. A high number of epithelioid histiocytes may be associated with a slightly better prognosis in diffuse large B-cell lymphoma and T-cell lymphomas. High content of histiocytes (expressing either CD68 or 163; > 20%) is significantly correlated with a poor prognosis in Hodgkin lymphoma (HL) patients [77-79]. A higher ratio of CD163-positive to CD68-positive histiocytes (macrophages) in angioimmunoblastic T-cell lymphoma (AITL) correlates with worse overall survival.

BM involvement

The influence of bone marrow biopsy histology on the prognosis and management of FL remains controversial. Extensive bone marrow involvement, however, is a significant predictor of poor survival of patients with grade 1 and 2 follicular lymphoma [80].

In CLL, the pattern and extent of bone marrow involvement (diffuse vs. non-diffuse) have prognostic implications [81], although it is not independent of the staging and the latter appears to be a better predictive factor of survival probability in CLL patients [82]. Nodular and interstitial patterns are associated with early disease and better prognosis, while a diffuse marrow infiltrate is associated with a worse prognosis and advanced disease, although not all studies support this [81, 83-85]. Patients with > 70% marrow involvement before therapy have a significantly shorter time to progression [86]. The extent of bone marrow involvement after chemotherapy does not correlate with the interval between the treatment and relapse [86]. A comparison between the infiltration pattern and IGVH mutation status revealed that the samples with a diffuse pattern were IGVH-unmutated and the non-diffuse CLL samples were IGVH-mutated [87]. The same report showed that the expression of ZAP-70 was related to the infiltration type: in all samples with a diffuse infiltration pattern, the leukemic cells showed ZAP-70 staining, whereas leukemic cells in a nodular infiltration pattern were negative (the mixed-pattern type showed a variable ZAP-70 expression) [87].

Marginal zone lymphoma (MZL) with both bone marrow and nodal involvement are associated with shorter overall survival [88]. Extensive bone marrow involvement by multiple myeloma (50%) is associated with a worse prognosis.

The clinical stage of HL (Ann Arbor classification updated at Cotswold) determines the treatment regimen and the prognosis. Tumour burden is the most important prognostic factor in HL [89, 90]. In a series reported by Specht et al., both lymphocytopenia and bone marrow involvement had an independent prognostic significance and these two factors emerged as the most important prognostic factors in disseminated Hodgkin disease, and both appeared to be related to the patient’s total tumour burden [89, 90].

Blood involvement

Plasma cell leukaemia is defined by circulating clonal plasma cells (> 2 × 109/l or  20% of leukocyte differential count). Detection of myeloma cells in blood (circulating myeloma cells) by flow cytometry in patients with plasma cell myeloma indicates active disease. Of 246 patients undergoing autologous stem-cell transplantation (ASCT) analyzed by Dingli et al., 95 had myeloma cells in blood [91]. Complete response (CR) rates after transplantation were 32% and 36% for patients with and without circulating myeloma cells, respectively, and an overall survival was 33.2 and 58.6 months, respectively. On multivariate analysis, circulating myeloma cells remained independent of cytogenetics and disease status at the time of transplantation [91]. Taking into account both cytogenetics and presence of myeloma cells in blood, patients with neither, one, or both parameters had a median overall survival of 55, 48, and 21.5 months and a median time to progression of 22, 15.4, and 6.5 months, respectively [91].

Circulating blasts (above normal control, i.e.  1%) in patients with MDS is associated with lower survival and higher proportion of progression into AML, in both low and high grade MDS [92, 93].


In chronic myeloid leukaemia (CML), presence of less than 5% of basophils is one of the criterion for complete hematologic response. The combination of spleen size and number of basophils is a predictor for complete cytogenetic response in CML treated with Gleevec. In MDS, bone marrow basophilia (> 1%) is associated with a poorer prognosis [94].

In situ lymphoma

Lymphomas in situ include follicular lymphoma (FL) in situ, mantle cell lymphoma (MCL) in situ, -herpesvirus associated B-cell lymphoproliferative disorders, plasmablastic microlymphoma and germinotropic lymphoproliferative disorder. FL in situ (or “intrafollicular neoplasia”; WHO classification) is often discovered incidentally and comprises isolated scattered follicles colonized by monoclonal t(14;18)+ B-cells over-expressing BCL2 and CD10 within an otherwise uninvolved lymph node [95-97]. Further evaluation reveals evidence of FL at another site in about half of the patients, but the risk of progression to clinically significant lymphoma is not yet fully known for these focal lesions. FL in situ without overt lymphoma has an indolent clinical course and requires follow-up without treatment. FL in situ with synchronous FL is treated as typical (overt) FL. FL in situ may precede FL or other lymphomas (e.g. DLBCL, MCL, SMZL and classical HL) by years.

Phenotypic markers


The prognosis of ALK+ anaplastic large cell lymphoma (ALCL) is favourable, except for cases with blood involvement, which are aggressive. Patients with ALK– ALCL have a poor prognosis, similar to only slightly better than peripheral T-cell lymphoma (PTCL). Supervised analysis with microarray gene-expression profiling has shown that ALK+ ALCL and ALK– ALCL have different gene-expression profiles, further confirming that they are different entities [98].

Large B-cell lymphoma expressing the ALK kinase is a rare variant of large B-cell lymphoma with immunoblastic or plasmablastic morphology and cytoplasmic expression of ALK [99-101]. In most cases it lacks t(2;5) [ALK-NPM] translocation characteristic of ALCL. Most patients present with advanced disease. The clinical course is aggressive despite polychemotherapy [101].


De novo CD5+ DLBCL is known to have phenotypically and genotypically different characteristics than CD5– DLBCL. CD5+ DLBCL is characterized by a survival curve that is significantly inferior to that for patients without CD5 expression [102-105]. CD5+ DLBCL shows a higher incidence of bone marrow and spleen involvement [104-106]. Among various phenotypic markers, optimal cut points predicting overall survival of patients treated in the rituximab era could only be determined for CD5 and Ki67, whereas such cut points for BCL2, BCL6, HLA-DR, and MUM1 could only be defined in patients not receiving rituximab [107]. Among 347 patients with DLBCL treated with R-CHOP, Salles et al. demonstrated that only CD5 retained a prognostic significance (CD10, BCL6, and MUM1 expression did not provide prognostic information in the rituximab era) [107].


A subset of B-lymphoblastic leukaemias (B-ALL) expresses CD33 or less often CD13; co-expression of both antigens is rare [108-111]. The expression of myeloid antigens is associated with a worse prognosis [109]. Pan-myeloid antigen expression may be associated with Philadelphia chromosome, balanced t(12;17) or extra ETV6/RUNX1+ fusion signals [108, 112]. Mylotarg (gemtuzumab; anti-CD33 antibody) is no longer available for treatment of patients with AML.


The expression of CD19 by multiple myeloma cells is associated with a worse prognosis [113].


The expression of CD20 predicts the response to monoclonal therapy with anti-CD20 antibody, rituximab (Rituxan).


Peripheral T-cell lymphoma, not otherwise specified (PTCL) with CD30 expression is associated with a worse prognosis. Transformation of mycosis fungoides (MF) into more aggressive large T-cell lymphoma has been associated with an expression of CD30 in approximately 40% of cases [48]. New promising therapies targeting CD30 are being developed.


Among B-cells, CD38 is expressed at high levels by B lineage progenitors in BM and by B-lymphocytes in germinal centre, in activated tonsils, and by terminally differentiated plasma cells. In CLL, CD38 expression identifies two subgroups of patients with different clinical outcomes, including overall survival, time to first treatment, number of leukemic cells with abnormal morphology, extent of adenopathy, absolute lymphocyte count, and LDH and 2-microglobulin levels. In the majority of studies, the threshold is considered as  30# CD38+ clonal cells [114-119]. At the molecular level, the CD38+ and CD38– clones differ in the level of expression of activation markers CD69 and HLA-DR, Ki67 fraction, ZAP70 expression, IGVH mutational status, telomere lengths and telomerase levels and in high-risk genomic abnormalities [114, 120-122].


Tumour expressing CD52 responds to treatment with humanized anti-CD52 antibody alemtuzumab (Campath). In T-cell prolymphocytic leukaemia (T-PLL), the overall response rate was reported at 76% with 60% complete remission (CR) and 16% partial remission [123]. Patients with serous effusion or hepatic or CNS involvement were more resistant to alemtuzumab treatment. Treatment with alemtuzumab is a reasonable option for patients with progressive and symptomatic CLL that is refractory to both alkylator-based and fludarabine-based regimens.


CD56 is positive in 11% to 20% of acute promyelocytic leukaemia (APL) [124, 125]. It is more common in the hypogranular variant. CD56+ APL is associated with high white blood cell counts; low albumin levels; BCR3 isoform; and the co-expression of CD2, CD34, CD7, HLA-DR, CD15, and CD117 antigens [124]. The expression of CD56 antigen in APL blasts has been associated with short remission duration and extramedullary relapse [124, 126-128]. In a series reported by Montesinos et al. for CD56+ APL, the 5-year relapse rate was 22%, compared with a 10% relapse rate for CD56– APL, and CD56+ APL also showed a greater risk of extramedullary relapse [124].

In anaplastic large cell lymphoma, CD56+ cases show a higher incidence of BM involvement and a significantly poorer prognosis than CD56– tumours (in both ALK+ and ALK– groups) [129].

Ki67 (MIB1)

In mantle cell lymphoma (MCL) a high proportion of Ki67 positive cells (> 40-60%) is an adverse prognostic indicator [10, 130]. The 3 MCL groups with different Ki67 index of less than 10%, 10% to less than 30%, and 30% or more show significantly different overall survival in patients treated with CHOP as well as in patients treated with CHOP in combination with anti-CD20 therapy (R-CHOP) [131, 132]. High Ki67 index is associated with a poor prognosis in peripheral T-cell lymphomas.

The Ki67 staining is often high in DLBCL. In a series published by Salles et al., Ki67 of 0-25% of tumour cells was noted in 3%, 26-50% in 13%, 51-75% in 30% and above 75% in the remaining 54% of cases. Ki67 overexpression (> 75% of tumour cells) appears to confer a poor prognosis in DLBCL patients treated with R-CHOP, which may be of importance for patients with intermediate IPI scores [107].


ZAP-70 (70-kD zeta-associated protein), a tyrosine kinase, is a key signalling molecule for T-lymphocytes and natural killer cells. Although it does not normally function in B-cells, it is anomalously expressed in CLL cells with unmutated IGVH genes and may enhance the signalling process when the B-cell receptor is engaged [133-139]. The expression of ZAP-70 can be effectively measured by flow cytometry and immunohistochemistry. Aggressive CLL is characterized by unmutated IGVH and expression of ZAP-70, whereas in indolent disease, has mutated IGVH and lacks expression of ZAP-70. Recent comparison between a flow cytometry assay for ZAP-70 and the mutational status of IGVH genes showed a strong association between the expression of ZAP-70 in CLL cells (ZAP-70 level above a defined threshold of 20%) and unmutated IGVH genes. However, ~20% CLLs show discordant results (mutated IGVH and positive ZAP-70 or unmutated IGVH and negative ZAP-70).

Chromosomal and molecular markers

Chromosomal and molecular markers are described with specific neoplasms (see below).

The overview of prognostic markers in some of the most common malignancies

Chronic lymphocytic leukaemia

The clinical course of CLL is variable and depends on a number of factors including age, gender, Binet/Rai stage, performance status, laboratory parameters (lymphocyte count, thymidine kinase, soluble CD23, 2-microglobulin, LDH), atypical cytologic features, pattern and extent of bone marrow infiltration, 17p deletion, TP53 mutation/loss, deletion of chromosome 11q23, ATM status, IGVH mutational status and CD38 and ZAP-70 expression [117, 118, 140, 141]. Although CLL remains incurable with standard treatments with resistance to therapy developing in the majority of patients, the significant improvements in remission rates are achieved with newer therapeutic approaches, such as the purine analogues (e.g. fludarabine) in combination with monoclonal antibodies and stem cell transplantation [142-144]. The combination of rituximab and fludarabine or fludarabine-containing regimens has yielded overall response rates of 95%, with complete response rates up to 66% in previously untreated CLL patients [145]. Some patients have aggressive disease and require therapy within a relatively short time after diagnosis, whereas others have indolent, asymptomatic disease and are not likely to benefit from palliative chemotherapy. The median survival of patients with CLL is 10 years. Patients with poor prognostic factors have median survival of approximately 3 years.

The expression of CD38 (> 30%) or ZAP-70 (> 20%) is associated with worse prognosis and often correlates with unmutated IGVH status. Nuclear p53 expression by immunohistochemistry is strongly associated with hemizygous TP53 deletion [146]. Pattern and extent of bone marrow involvement (diffuse vs. non-diffuse) have prognostic implications [81], although it is not independent of the staging and the latter appears to be a better predictive factor of survival probability in CLL patients [82]. Nodular and interstitial patterns are associated with early disease and better prognosis, while a diffuse marrow infiltrate is associated with a worse prognosis and advanced disease, although not all studies support this [81, 83-85]. Patients with > 70% marrow involvement before therapy have a significantly shorter time to progression [86].

The extent of bone marrow involvement after chemotherapy does not correlate with the interval between the treatment and relapse [86]. A comparison between the infiltration pattern and IGVH mutation status revealed that the samples with a diffuse pattern were IGVH-unmutated and non-diffuse CLL samples were IGVH-mutated [87]. The same report showed that the expression of ZAP-70 was related to the infiltration type: in all samples with a diffuse infiltration pattern, the leukemic cells showed ZAP-70 staining, whereas leukemic cells in a nodular infiltration pattern were negative (the mixed-pattern type showed a variable ZAP-70 expression) [87].

Patients with normal karyotype or deletion of 13q14 as the sole genetic abnormality have a better prognosis than those with a complex karyotype or deletion of 11q23 or 17p13. Response rate to chemotherapy is significantly higher in patients with normal karyotypes than in those with abnormal karyotypes, especially with complex changes. In series by Dohner et al., the median survival times for patients with 17p deletion, 11q deletion, 12q trisomy, normal karyotype, and 13q deletion as the sole abnormality were 32, 79, 114, 111, and 133 months, respectively [147]. Patients with 17p deletions had the shortest median treatment-free interval (9 months), and those with 13q deletions had the longest (92 months) [147]. The response to rituximab was noted to vary by cytogenetic group: del(17)(p13.1), 0%; del(11)(q22.3), 66%; del(13) (q14.3), 86%; and +12, 25% [148]. Alemtuzumab (Campath) may be an effective initial therapy for patients with p53 mutations or del(17q)(p13.1) or both, as opposed to fludarabine, chlorambucil, or rituximab [149].

Diffuse large B-cell lymphoma

In DLBCL, poor prognostic indicators include age > 60 years old, high serum LDH and/or 2-macroglobulin levels, poor performance status, advanced stage, extranodal involvement (2 sites), immunoblastic morphology, 17p loss, p53 expression/TP53 mutation, 18q amplification and CD5 expression. The International Prognostic Index (IPI; see above) subdivides patients according to the number of prognostic factors into low risk (none or one factor), low-intermediate (two factors), high-intermediate (3 factors), or high risk (four or five factors) with predicted 5-year overall survival values of 73%, 51%, 43%, and 26%, respectively.

Evaluation of DLBCL gene expression profiles by cDNA microarray techniques and oligonucleotide microarrays has identified molecularly distinct forms of DLBCL: germinal centre (GC) B-cell-like DLBCL (GCB), characterized by the expression of genes normally expressed by GC B-cells, non-germinal centre like DLBCL consisting of activated B-cells (ABC-like DLBCL) and “type 3” [150, 151]. The activated B-cell-like DLBCL (ABC) is characterized by the expression of genes involved in activation of B-cells as well as some genes normally expressed by plasma cells, thus suggesting their post-GC origin [151, 152]. Type 3 is a heterogeneous DLBCL subtype that does not express high levels of either the GC or ABC set of genes. The GCB group is characterized by a better prognosis in comparison with ABC or type 3 groups. The GCB group shows t(14;18) translocation, CD10 expression, c-REL amplification and evidence of ongoing somatic hypermutation in the immunoglobulin variable heavy genes (IGVH) and is characterized by a better overall survival [150, 153, 154]. GCB and ABC subtypes are associated with different prognosis (76% vs. 31% for 5-year progression free survival and 80% vs. 45% for overall survival). Bortezomib enhances the activity of chemotherapy in ABC, but not GCB DLBCL.

In patients treated with R-CHOP, among various phenotypic markers only CD5 retains a prognostic significance; none of the immunostaining profiles based on the expression of CD10, BCL2, BCL6 and MUM1 retains the prognostic impact of the GCB versus non-GCB profiles [155].

Patients with bone marrow (BM) involvement that consists of  50% of large cells or BM involvement of  70% have a poorer overall survival [156, 157]. Nodal and extranodal DLBCL differ in clinical presentation, behaviour and prognosis [158]. For stage I patients, extranodal DLBCL was independently associated with poor survival. In contrast, among stage IV patients those with extranodal DLBCL survived longer [158].

The Ki67 staining is often high in DLBCL. Ki67 overexpression (> 75% of tumour cells) appears to confer a poor prognosis in DLBCL patients treated with R-CHOP, which may be of importance for patients with intermediate IPI scores [107]. Patients with tumour cells that overexpressed BCL2 (> 75%) presented significantly more frequently with a higher IPI, whereas those that were either CD10 or HLA-DR positive had a significantly lower IPI at diagnosis [107]. Salles et al. showed that low-risk patients were separated by BCL2 and the low-intermediate/high-intermediate patients were separated by Ki67. The most favourable group comprised patients with a low IPI and BCL2 of  75% and had an expected 4-year overall survival of 94%. Patients with low IPI and BCL2 > 75% as well as low-intermediate/high-intermediate IPI with Ki67 positivity in  75% of cells had 4-year overall survival of 81%. Patients with low-intermediate/high-intermediate IPI and Ki67 > 75% had 4-year survival at 62%, and patients with a high IPI had 4-year overall survival of 45% [107].

Approximately 5-17% of diffuse large B-cell lymphomas (DLBCLs) harbour an MYC oncogene rearrangement [159]. The 5-year progression-free survival (66% vs. 31%) and overall survival (72% vs. 33%) is inferior in cases of DLBCL treated with R-CHOP that harboured an MYC rearrangement [160]. Treatment regimens similar to those used in Burkitt lymphoma may be more appropriate in this patient population.

Follicular lymphoma

Follicular lymphoma is a heterogeneous group of tumours with a variable course, but the majority of cases have an indolent and slowly progressive clinical course with relatively long median survival, good response to initial treatment and a continuous pattern of relapses, sometimes followed by histologic transformation into high grade lymphoma [161-167]. Prognosis is closely related to the extent of the disease at the time of diagnosis. The International Prognostic Index for FL (FLIPI) is a strong predictor of outcome [167]. Approximately 65% of patients are in stage III or IV at the time of diagnosis [39].

Adverse prognostic factors in FL include age >60 years, Ann Arbor stage III-IV, haemoglobin level < 120 g/l, B symptoms, hepatosplenomegaly, bulky disease, number of nodal areas > 4, high number of extranodal involvement sites, high serum 2-microglobulin level, poor performance status, high erythrocyte sedimentation rate, and high serum LDH level [167-172]. The peripheral blood absolute lymphocyte count (ALC) at the time of diagnosis of FL was identified as a predictor for overall survival: ALC  1.0 × 109/l predicted a longer overall survival versus ALC < 1.0 × 109/l (175 vs. 73 months, respectively) [173].

Histological grade correlates with prognosis in FL, with grade 1-2 cases being indolent and not usually curable, except for the infrequent localized cases. The majority of published studies show a significantly more aggressive clinical course for FL classified as grade 3 or large cell. Klapper et al. reported the association between the presence of sclerosis within the lymphoma and poor overall survival (independently from grade or FLIPI) [75].

The presence of more than 6 chromosomal breaks and a complex karyotype has been shown to be associated with a poor outcome; in addition, del 6q23-26, del17p and mutations in TP53 as well as –1p, –12, +18p, +Xp confer a worse prognosis and a shorter time to transformation [174, 175].

The survival rate is higher in extranodal FL than in nodal FL. Patients with primary cutaneous follicular lymphoma have a more favourable long-term prognosis than those with equivalent nodal disease [176]. Follicular lymphomas in non-cutaneous extranodal sites have similarly favourable outcome [177]. In follicular lymphoma of the gastrointestinal tract, the estimated 5-year disease-free survival is 62%, and the median disease-free survival is 69 months [178].

The paediatric variant of FL usually presents with localized disease and is of high histological grade. These lymphomas lack BCL2/IGH translocation and often do not express BCL2 protein. They may present at nodal or extranodal sites (testis, GI tract, Waldeyer’s ring) [179]. Paediatric FLs have a good prognosis.

Mantle cell lymphoma

The clinical behaviour of mantle cell lymphoma (MCL) is aggressive with a median overall survival of around 3-4 years. The median survival is 32 to 48 months [180, 181] and 5-year survival is less than 10% [182]. In patients younger than 65 years, a dose-intensive consolidation comprising high-dose radiochemotherapy, immunochemotherapy, and autologous stem cell transplantation after a CHOP-like induction results in an improved progression-free survival [183, 184]. However, relapses are still observed at a high frequency. The addition of rituximab to transplantation protocols appears to be a very promising strategy for patients with relapsed MCL after autologous stem cell transplantation [185, 186].

Mantle cell lymphoma appears to be largely resistant to complete eradication by conventional chemotherapy [187]. Majority of patients have positive MRD (BCL1/IGH-PCR) in bone marrow irrespective of histological involvement [188]. New treatment regimen with rituximab and combination chemotherapy may transiently clear blood or bone marrow of detectable tumour cells, but molecular remission does not translate into prolonged progression-free survival (16.5 months in MRD+ vs. 18.8 months in MRD–) [189]. Brugger et al. showed that one single course of rituximab consolidation given after autologous stem cell transplantation may help to eliminate MRD and may translate into improved event-free survival in both FL and MCL patients [186].

Parameters associated with a poor prognosis or shorter survival include poor performance status, splenomegaly, B-symptoms, leukocyte count > 10 × × 109/l, high LDH level, blastic variant, and high/intermediate or high risk IPI [181]. Stage IV, high/intermediate or high risk IPI, and increased LDH level are associated with a lower response rate to chemotherapy [181]. However, the value of IPI in MCL is not well established, partly because most of the patients are within high-risk categories. In a series by Raty et al., high Ki67 expression, Ann Arbor stage III-IV, and age over 60 years had independent influence on survival in a multivariate analysis, whereas serum LDH, the number of extranodal sites, and performance status did not [190]. According to the MCL international prognostic index (MIPI), patients can be classified into low risk (44% of patients, median OS not reached), intermediate risk (35%, 51 months), and high risk groups (21%, 29 months), based on the 4 independent prognostic factors: age, performance status, lactate dehydrogenase (LDH), and leukocyte count [191].

The most consistently reported adverse histopathological prognostic parameter is a high mitotic rate (> 10-37.5/15 hpf, > 50/mm2) [10, 11]. A high proportion of Ki67 positive cells (> 40-60%) is also an adverse prognostic indicator [10, 130].

Multiple myeloma

Clinical outcomes of myeloma are highly heterogeneous and range from indolent (smouldering) to aggressive disseminated disease with leukemic blood involvement with survival ranging from a few days to more than 10 years [192, 193]. The overall survivals at 1, 2, and 5 years for myeloma patients are 72%, 55% and 22%, respectively [194]. Poor risk factors include renal insufficiency, elevated serum beta-2-micro­globulin, low serum albumin, elevated LDH, high C-reactive protein, increased plasma cell proliferative activity, high degree of BM replacement, plasmablastic morphology and genetic changes. Patients with abnormalities by conventional cytogenetics have significantly shorter median survival than those without them [116, 195-200]. The most important independent negative prognostic indicators include t(4;14) and the MAF translocations t(14;16) and t(14;20), deletion of 17p/TP53 and increased serum 2-microglobulin.

Chromosomal aberrations are frequently observed in myeloma patients. The del(13), t(11;14), t(4;14), hyperdiploidy, c-MYC translocations, and del(17p) are present in 48%, 21%, 14%, 39%, 13%, and 11% of the patients, respectively [195]. In univariate statistical analyses del(13), t(4;14), non-hyperdiploidy, and del(17p) negatively impact both the event-free survival and the overall survival, whereas t(11;14) and c-MYC translocations do not influence the prognosis [195]. High-risk disease is associated with t(4;14), t(14;16), t(14;20), deletion of 17q13, aneuploidy or deletion of chromosome 13 by conventional cytogenetics, or plasma cell labelling index > 3.0 [200].

Acute myeloid leukaemia

The diagnosis and prognosis is most accurately provided by pre-treatment assessment of the morphology, immunophenotype and underlying chromosomal/molecular aberrations. Patients with acute promyelocytic leukaemia (APL) are treated with an all-trans-retinoic acid (ATRA), whereas patients with other types of AML are typically given conventional chemotherapy (e.g. 3 days of anthracycline + 7 days of ara-C). Over the last decades, improvement in the diagnosis (especially identification of prognostically relevant cytogenetic groups), new treatment strategies and advances in supportive care have increased the survival rate in patients with AML [201, 202]. Despite this, however, nearly two thirds of patients diagnosed with AML will die of the disease and/or complications of treatment. The prognosis of patients aged 60 years or older with AML remains extremely poor, with 5% to 15% or less patients alive beyond 5 years [203, 204].

Cytogenetic abnormalities in AML at presentation have been identified as one of the most important prognostic factors and has been shown to be independent of age, WBC count, and type of leukaemia [205-209]. Approximately 30% of AML patients carry recurrent chromosomal abnormalities associated with different clinical features and prognosis [96, 208]. Three chromosomal abnormalities, t(8;21) [RUNX1/RUNX1T1], t(15;17) [PML/RARA] and inv(16)/t(16;16) are regarded as favourable prognostic factors, whereas AML with abnormalities of 3q, deletion of 5q, monosomies of chromosome 5 and/or 7 (–5/–7), monosomal karyotype (2 monosomies or a combination of monosomy with structural abnormalities) or complex karyotype are associated with poor prognoses. Patients with normal karyotype, –Y, t(9;11), del(11q), +13, del(20q) and +21 belong to intermediate prognostic category [208, 210, 211]. Patients with normal karyotype and mutated NPM1 and wild type FLT3 have a favourable prognosis. AML with t(9;22)/BCR-ABL may occur de novo or represent the blast phase of CML. BCR-ABL+ AML is a rare disease, characterized by a poor prognosis, with resistance to induction chemotherapy and frequent relapses in responsive patients.

Myelodysplastic syndrome

Based on clinical symptoms, morphology, number of blasts and chromosomal changes, WHO classification recognizes several categories of MDS: refractory cytopenia with unilineage dysplasia (RCUD); including refractory anaemia (RA); refractory neutropenia (RN); and refractory thrombocytopenia (RT), refractory anaemia with ringed sideroblasts (RARS), refractory cytopenia with multilineage dysplasia (RCMD), refractory anaemia with excess blasts (RAEB), myelodysplastic syndrome, unclassified (MDS-U) and MDS associated with isolated deletion of 5q (5q– syndrome) [96]. RAEB is further subdivided into type 1 (5-9% of blasts in the BM) and type 2 (10-19% of blasts in the BM). Monocytes are less than 1 × 109/l in blood.

MDS can be divided into three risk groups based on duration of survival and risk of progression into AML: low, intermediate and high risk. RCUD and RARS belong to low risk, RCMD and RAEB-1 belong to intermediate risk and RAEB-2 comprise a high risk group. MDS with del(5q) has the rate of progression into AML from 17% to 25% (with or without lenalidomide treatment) [73, 74]. In a low risk group, the median survival is approximately 66 months, and for patients above 70 years old it is similar to non-affected population. The rate of progression into AML is approximately 2% at 5 years. For RCMD the overall survival is approximately 30 months and the risk of progression into AML is 10% at 2 years. Approximately 25% of patients with RAEB-1 and 33% of patients with RAEB-2 progress into AML and the remaining patients succumb to complications of BM failure. The median survival is approximately 16 months for RAEB-1 and 9 months for RAEB-2.

Three risk-based cytogenetic groups (good, intermediate and poor) can be distinguished. The cytogenetic subgroup with good outcome includes normal karyotype, -Y alone (monosomy Y), del(5q) alone, del(20q) alone; poor outcome includes complex karyotype ( 3 abnormalities) or chromosome 7 abnormalities; and intermediate outcome includes all other abnormalities [212]. Abnormalities of chromosomes 5 and 7 or complex aberrations are seen only in RCMD and RAEB. Patients with normal karyotype, del(5q) alone, or del(20q) alone have median survival > 3 years, whereas patients with high risk cytogenetic changes (complex karyotype, chromosome 3 abnormalities, or chromosome 7 abnormalities) have median survival < 12 months [213-216]. MDS patients with complex karyotype and –7/del(7q) have a greater risk of progression to AML. In patients with higher risk MDS treated with azacitidine (AZA), previous low-dose AraC, BM blasts >15% and abnormal karyotype predict a lower response rate; performance status  2, intermediate or poor cytogenetics, presence of circulating blasts and red blood cell transfusion dependency predict poorer overall survival. Presence of circulating blasts (in patients treated with AZA) is associated with a worse prognosis. Blasts with Auer rods predict poorer outcome.

Acute lymphoblastic leukaemia

As outcomes with modern therapy in paediatric ALL have improved, many factors that had previously been shown to be important for predicting prognosis have lost statistical significance. Five factors that are readily apparent at either initial diagnosis or within the first month of treatment have retained their prognostic significance and constitute the basis on which patients are stratified in most treatment protocols. These factors include: (1) age at presentation, (2) WBC at presentation, (3) specific cytogenetic abnormalities, (4) presence or absence of CNS involvement, and (5) rapidity of initial response to chemotherapy.

The age-determined risk groups are age less than 1 year (infant ALL), ages of 1.0 to 9.99 years (standard risk ALL), and age of 10 years and above (high-risk ALL). The infant group is a very high-risk subcategory of patients who usually demonstrate 11q23 abnormalities, most often the t(4;11) (q21;q23) translocation. These infants generally have high presenting WBCs, large amounts of extramedullary disease, and their leukemic blasts are usually CALLA (CD10)-negative. Good prognostic parameters in ALL include age between 1 and 9 years, white blood cell count < 50,000, DNA index > 1.16 (trisomies for chromosomes 4, 10, and 17), chromosomal translocation t(12;22) /ETV6-RUNX1, lack of involvement of CNS, rapid response to induction chemotherapy and negative MRD after treatment.

Precursor B-lymphoblastic leukaemia with hyperdiploidy (> 50 chromosomes) has favourable prognosis [217-221], especially when there is a concurrent trisomy of chromosome 4, 10, and/or 17 [222-224]. Near-tetraploid tumours (92-94 chromosomes) are associated with a high frequency of treatment failure and therefore differ in prognosis from other hyperdiploid ALL [225]. Hypodiploid tumours with less than 45 chromosomes, especially those with 24 to 28 chro­mosomes, has a significant worse prognosis despite intensive treatment [226-230].

Adult patients with early-pre-B-ALL and t(4;11) or t(9;22) have poor prognosis and the absence of both of these translocations correlates with a significantly better clinical outcome after intensive polychemotherapy treatment [231]. Based on the cytogenetic-molecular aberrations and disease-free survival (DFS), Mancini et al. divided adult ALL into 3 prognostic categories: (1) no genetic abnormalities or isolated del(9p)(p15-p16) predicted relatively favourable outcome (median DFS > 3 years); (2) the t(9;22)BCR/ABL, t(4;11)MLL/AF4 or t(1;19)E2A/PBX1 predicted highly adverse prognosis (median DFS 7 months), and (3) 6q deletions, other miscellaneous structural aberrations and hyperdiploidy predicted an intermediate prognosis (median DFS 19 months) [232].


  1. Bassan R, Gatta G, Tondini C, Willemze R. Adult acute lymphoblastic leukaemia. Crit Rev Oncol Hematol 2004; 50: 223-261.   

2. Cairo MS, Sposto R, Perkins SL, et al. Burkitt’s and Burkitt-like lymphoma in children and adolescents: a review of the Children's Cancer Group experience. Br J Haematol 2003; 120: 660-670.   

3. Piris MA, Arribas A, Mollejo M. Marginal zone lymphoma. Semin Diagn Pathol 2011; 28: 135-145.   

4. Traverse-Glehen A, Baseggio L, Salles G, et al. Splenic marginal zone B-cell lymphoma: a distinct clinicopathological and molecular entity. Recent advances in ontogeny and classification. Curr Opin Oncol 2011; 23: 441-448.   

5. Phekoo KJ, Schey SA, Richards MA, et al. A population study to define the incidence and survival of multiple myeloma in a National Health Service Region in UK. Br J Haematol 2004; 127: 299-304.   

6. van Doorn R, Van Haselen CW, van Voorst Vader PC, et al. Mycosis fungoides: disease evolution and prognosis of 309 Dutch patients. Arch Dermatol 2000; 136: 504-510.   

7. Zackheim HS, Amin S, Kashani-Sabet M, McMillan A. Prognosis in cutaneous T-cell lymphoma by skin stage: long-term survival in 489 patients. J Am Acad Dermatol 1999; 40: 418-425.   

8. Rodriguez J, McLaughlin P, Hagemeister FB, et al. Follicular large cell lymphoma: an aggressive lymphoma that often presents with favorable prognostic features. Blood 1999; 93: 2202-2207.   

9. Hans CP, Weisenburger DD, Vose JM, et al. A significant diffuse component predicts for inferior survival in grade 3 follicular lymphoma, but cytologic subtypes do not predict survival. Blood 2003; 101: 2363-2367.  

10. Tiemann M, Schrader C, Klapper W, et al. Histopathology, cell proliferation indices and clinical outcome in 304 patients with mantle cell lymphoma (MCL): a clinicopathological study from the European MCL Network. Br J Haematol 2005; 131: 29-38.  

11. Argatoff LH, Connors JM, Klasa RJ, et al. Mantle cell lymphoma: a clinicopathologic study of 80 cases. Blood 1997; 89: 2067-2078.  

12. Robertson LE, Pugh W, O'Brien S, et al. Richter's syndrome: a report on 39 patients. J Clin Oncol 1993; 11: 1985-1989.  

13. Beà S, López-Guillermo A, Ribas M, et al. Genetic imbalances in progressed B-cell chronic lymphocytic leukemia and transformed large-cell lymphoma (Richter’s syndrome). Am J Pathol 2002; 161: 957-968.  

14. Nakamura N, Abe M. Richter syndrome in B-cell chronic lymphocytic leukemia. Pathol Int 2003; 53: 195-203.  

15. Tsimberidou AM, Keating MJ. Richter syndrome: biology, incidence, and therapeutic strategies. Cancer 2005; 103: 216-228.  

16. Tsimberidou AM, Keating MJ. Richter’s transformation in chronic lymphocytic leukemia. Semin Oncol 2006; 33: 250-256.  

17. Kjeldsberg CR, Marty J. Prolymphocytic transformation of chronic lymphocytic leukemia. Cancer 1981; 48: 2447-2457.  

18. Enno A, Catovsky D, O'Brien M, et al. ‘Prolymphocytoid’ transformation of chronic lymphocytic leukaemia. Br J Haematol 1979; 41: 9-18.  

19. Pugh WC, Manning JT, Butler JJ. Paraimmunoblastic variant of small lymphocytic lymphoma/leukemia. Am J Surg Pathol 1988; 12: 907-917.  

20. Ohno T, Smir BN, Weisenburger DD, et al. Origin of the Hodgkin/Reed-Sternberg cells in chronic lymphocytic leukemia with ‘Hodgkin’s transformation’. Blood 1998; 91: 1757-1761.  

21. Williams J, Schned A, Cotelingam JD, Jaffe ES. Chronic lymphocytic leukemia with coexistent Hodgkin’s disease. Implications for the origin of the Reed-Sternberg cell. Am J Surg Pathol 1991; 15: 33-42.  

22. Brecher M, Banks PM. Hodgkin’s disease variant of Richter’s syndrome. Report of eight cases. Am J Clin Pathol 1990; 93: 333-339.  

23. Momose H, Jaffe ES, Shin SS, et al. Chronic lymphocytic leukemia/small lymphocytic lymphoma with Reed-Sternberg-like cells and possible transformation to Hodgkin’s disease. Mediation by Epstein-Barr virus. Am J Surg Pathol 1992; 16: 859-867.  

24. Kanzler H, Küppers R, Helmes S, et al. Hodgkin and Reed-Sternberg-like cells in B-cell chronic lymphocytic leukemia represent the outgrowth of single germinal-center B-cell-derived clones: potential precursors of Hodgkin and Reed-Sternberg cells in Hodgkin’s disease. Blood 2000; 95: 1023-1031.  

25. Wiernik PH. Second neoplasms in patients with chronic lymphocytic leukemia. Curr Treat Options Oncol 2004; 5: 215-223.

 26. Ansell SM, Li CY, Lloyd RV, Phyliky RL. Epstein-Barr virus infection in Richter's transformation. Am J Hematol 1999; 60: 99-104.  

27. Harousseau JL, Flandrin G, Tricot G, et al. Malignant lymphoma supervening in chronic lymphocytic leukemia and related disorders. Richter’s syndrome: a study of 25 cases. Cancer 1981; 48: 1302-1308.

 28. Travis LB, Curtis RE, Boice JD Jr, et al. Second cancers following non-Hodgkin's lymphoma. Cancer 1991; 67: 2002-2009.

 29. Torelli UL, Torelli GM, Emilia G, et al. Simultaneously increased expression of the c-myc

and mu chain genes in the acute blastic transformation of a chronic lymphocytic leukaemia. Br J Haematol 1987; 65: 165-170.

 30. Tsimberidou AM, O'Brien S, Kantarjian HM, et al. Hodgkin transformation of chronic lymphocytic leukemia: the M. D. Anderson Cancer Center experience. Cancer 2006; 107: 1294-1302

 31. Tsimberidou AM, O'Brien S, Khouri I, et al. Clinical outcomes and prognostic factors in patients with Richter’s syndrome treated with chemotherapy or chemoimmunotherapy with

or without stem-cell transplantation. J Clin Oncol 2006; 24: 2343-2351.  

32. de Leval L, Vivario M, De Prijck B, et al. Distinct clonal origin in two cases of Hodgkin’s lymphoma variant of Richter’s syndrome associated With EBV infection. Am J Surg Pathol 2004; 28: 679-686.

 33. Fayad L, Robertson LE, O’Brien S, et al. Hodgkin’s disease variant of Richter's syndrome: experience at a single institution. Leuk Lymphoma 1996; 23: 333-337.

 34. Weisenberg E, Anastasi J, Adeyanju M, et al. Hodgkin’s disease associated with chronic lymphocytic leukemia. Eight additional cases, including two of the nodular lymphocyte predominant type. Am J Clin Pathol 1995; 103: 479-484.

 35. Tsang WY, Chan JK, Sing C. The nature of Reed-Sternberg-like cells in chronic lymphocytic leukemia. Am J Clin Pathol 1993; 99: 317-323.

 36. Bastion Y, Sebban C, Berger F, et al. Incidence, predictive factors, and outcome of lymphoma transformation in follicular lymphoma patients. J Clin Oncol 1997; 15: 1587-1594.  

37. Ersbøll J, Schultz HB, Pedersen-Bjergaard J, Nissen NI. Follicular low-grade non-Hodgkin's lymphoma: long-term outcome with or without tumor progression. Eur J Haematol 1989; 42: 155-163.  

38. Horning SJ, Rosenberg SA. The natural history of initially untreated low-grade non-Hodgkin's lymphomas. N Engl J Med 1984; 311: 1471-1475.  

39. Feller AC, Diebold J. Histopathology of nodal and extranodal non-Hodgkin's lymphomas. 3rd ed. Springer-Verlag, Berlin Heidelberg 2004.  

40. Lee JT, Innes DJ Jr, Williams ME. Sequential bcl-2 and c-myc oncogene rearrangements associated with the clinical transformation of non-Hodgkin's lymphoma. J Clin Invest 1989; 84: 1454-1459.  

41. Natkunam Y, Warnke RA, Zehnder JL, et al., Blastic/blastoid transformation of follicular lymphoma: immunohistologic and molecular analyses of five cases. Am J Surg Pathol 2000; 24: 525-534.  

42. De Jong D, Voetdijk BM, Beverstock GC, et al. Activation of the c-myc oncogene in a precursor-B-cell blast crisis of follicular lymphoma, presenting as composite lymphoma. N Engl J Med 1988; 318: 1373-1378.

 43. Kroft SH, Domiati-Saad R, Finn WG, et al. Precursor B-lymphoblastic transformation of grade I follicle center lymphoma. Am J Clin Pathol 2000; 113: 411-418.  

44. Kojima M, Inagaki H, Motoori T, et al. Clinical implications of nodal marginal zone B-cell lymphoma among Japanese: study of 65 cases. Cancer Sci 2007; 98: 44-49.

 45. Diamandidou E, Colome-Grimmer M, Fayad L, et al. Transformation of mycosis fungoides/Sezary syndrome: clinical characteristics and prognosis. Blood 1998; 92: 1150-1159.

 46. Salhany KE, Cousar JB, Greer JP, et al. Transformation of cutaneous T cell lymphoma to large cell lymphoma. A clinicopathologic and immunologic study. Am J Pathol 1988; 132: 265-277.

 47. Vergier B, de Muret A, Beylot-Barry M, et al. Transformation of mycosis fungoides: clinicopathological and prognostic features of 45 cases. French Study Group of Cutaneious Lymphomas. Blood 2000; 95: 2212-2218.

 48. Arulogun SO, Prince HM, Ng J, et al. Long-term outcomes of patients with advanced-stage cutaneous T-cell lymphoma and large cell transformation. Blood 2008; 112: 3082-3087.

 49. Edinger JT, Clark BZ, Pucevich BE, et al. CD30 expression and proliferative fraction in nontransformed mycosis fungoides. Am J Surg Pathol 2009; 33: 1860-1868.

 50. Cerroni L, Rieger E, Hödl S, Kerl H. Clinicopathologic and immunologic features associated with transformation of mycosis fungoides to large-cell lymphoma. Am J Surg Pathol 1992; 16: 543-552.

 51. Wolanskyj AP, Schwager SM, McClure RF, et al. Essential thrombocythemia beyond the first decade: life expectancy, long-term complication rates, and prognostic factors. Mayo Clin Proc 2006; 81: 159-166.

 52. Tefferi A. Essential thrombocythemia: scientific advances and current practice. Curr Opin Hematol 2006; 13: 93-98.

 53. Gangat N, Wolanskyj AP, McClure RF, et al. Risk stratification for survival and leukemic transformation in essential thrombocythemia: a single institutional study of 605 patients. Leukemia 2007; 21: 270-276.

 54. Cervantes F, Tassies D, Salgado C, et al. Acute transformation in nonleukemic chronic myeloproliferative disorders: actuarial probability and main characteristics in a series of 218 patients. Acta Haematol 1991; 85: 124-127.

 55. Chim CS, Kwong YL, Lie AK, et al. Long-term outcome of 231 patients with essential thrombocythemia: prognostic factors for thrombosis, bleeding, myelofibrosis, and leukemia. Arch Intern Med 2005; 165: 2651-2658.

 56. De Sanctis V, Mazzucconi MG, Spadea A, et al. Long-term evaluation of 164 patients

with essential thrombocythaemia treated with pipobroman: occurrence of leukaemic evolution. Br J Haematol 2003; 123: 517-521.

 57. Passamonti F, Rumi E, Arcaini L, et al. Blast phase of essential thrombocythemia: A single center study. Am J Hematol 2009; 84: 641-644.

 58. Ríos R, Solé F, del Mar Pérez M, et al. t(2;3) in a case of blastic transformation of essential thrombocythaemia. Br J Haematol 1996; 92: 769-770.

 59. Paolini R, Bonaldi L, Bianchini E, et al. Spontaneous evolution of essential thrombocythaemia into acute megakaryoblastic leukaemia with trisomy 8, trisomy 21 and cutaneous involvement. Eur J Haematol 2003; 71: 466-469.

 60. Hirose Y, Masaki Y, Sugai S. Leukemic transformation with trisomy 8 in essential thrombocythemia: a report of four cases. Eur J Haematol 2002; 68: 112-116.  

61. Hsiao HH, Ito Y, Sashida G, et al. De novo appearance of der(1;7)(q10;p10) is associated with leukemic transformation and unfavorable prognosis in essential thrombocythemia. Leuk Res 2005; 29: 1247-1252.

 62. Sterkers Y, Preudhomme C, Laï JL, et al. Acute myeloid leukemia and myelodysplastic syndromes following essential thrombocythemia treated with hydroxyurea: high proportion of cases with 17p deletion. Blood 1998; 91: 616-622.

 63. Lazarevic VLj, Tomin D, Jankovic GM, et al. A novel t(2;17) in transformation of essential thrombocythemia to acute myelocytic leukemia. Cancer Genet Cytogenet 2004; 148: 77-79.

 64. Emilia G, Sacchi S, Temperani P, et al. Progression of essential thrombocythemia to blastic crisis via idiopathic myelofibrosis. Leuk Lymphoma 1993; 9: 423-426.

 65. Gaidano G, Pastore C, Santini V, et al. Genetic lesions associated with blastic transformation of polycythemia vera and essential thrombocythemia. Genes Chromosomes Cancer 1997; 19: 250-255.

 66. Berk PD, Goldberg JD, Silverstein MN, et al. Increased incidence of acute leukemia in polycythemia vera associated with chlorambucil therapy. N Engl J Med 1981; 304: 441-447.  

67. Najean Y, Rain JD. The very long-term evolution of polycythemia vera: an analysis of 318 patients initially treated by phlebotomy or 32P between 1969 and 1981. Semin Hematol 1997; 34: 6-16.

 68. Fruchtman SM, Mack K, Kaplan ME, et al. From efficacy to safety: a Polycythemia Vera Study group report on hydroxyurea in patients with polycythemia vera. Semin Hematol 1997; 34: 17-23.

69. Swolin B, Weinfeld A, Westin J. A prospective long-term cytogenetic study in polycythemia vera in relation to treatment and clinical course. Blood 1988; 72: 386-395.

 70. Kiladjian JJ, Gardin C, Renoux M, et al. Long-term outcomes of polycythemia vera patients treated with pipobroman as initial therapy. Hematol J 2003; 4: 198-207.

 71. Fruchtman SM, Petitt RM, Gilbert HS, et al. Anagrelide: analysis of long-term efficacy, safety and leukemogenic potential in myeloproliferative disorders. Leuk Res 2005; 29: 481-491.

 72. Finazzi G, Caruso V, Marchioli R, et al. Acute leukemia in polycythemia vera: an analysis of 1638 patients enrolled in a prospective observational study. Blood 2005; 105: 2664-2670.  

73. Nachtkamp K, Kündgen A, Strupp C, et al. Impact on survival of different treatments for myelodysplastic syndromes (MDS). Leuk Res 2009; 33: 1024-1028.

 74. Fenaux P, Giagounidis A, Selleslag D, et al. A randomized phase 3 study of lenalidomide versus placebo in RBC transfusion-dependent patients with Low-/Intermediate-1-risk myelodysplastic syndromes with del5q. Blood 2011; 118: 3765-3776.

 75. Klapper W, Hoster E, Rölver L, et al., Tumor sclerosis but not cell proliferation or malignancy grade is a prognostic marker in advanced-stage follicular lymphoma: the German Low Grade Lymphoma Study Group. J Clin Oncol 2007; 25: 3330-3336.

 76. Dave SS, Wright G, Tan B, et al. Prediction of survival in follicular lymphoma based on molecular features of tumor-infiltrating immune cells. N Engl J Med 2004; 351: 2159-2169.  

77. Yoon DH, Koh YW, Kang HJ, et al. CD68 and CD163 as prognostic factors for Korean patients with Hodgkin lymphoma. Eur J Haematol 2011 Nov 2. doi: 10.1111/j.1600-0609.2011. 01731.x. [Epub ahead of print].  

78. Zaki MA, Wada N, Ikeda J, et al. Prognostic implication of types of tumor-associated macrophages in Hodgkin lymphoma. Virchows Arch 2011; 459: 361-366.  

79. Kamper P, Bendix K, Hamilton-Dutoit S, et al. Tumor-infiltrating macrophages correlate with adverse prognosis and Epstein-Barr virus status in classical Hodgkin's lymphoma. Haematologica 2011; 96: 269-276.

 80. Canioni D, Brice P, Lepage E, et al. Bone marrow histological patterns can predict survival of patients with grade 1 or 2 follicular lymphoma: a study from the Groupe d'Etude des Lymphomes Folliculaires. Br J Haematol 2004; 126: 364-371.

 81. Rozman C, Montserrat E, Rodríguez-Fernández JM, et al. Bone marrow histologic pattern--the best single prognostic parameter in chronic lymphocytic leukemia: a multivariate survival analysis of 329 cases. Blood 1984; 64: 642-648.

 82. Mauro FR, De Rossi G, Burgio VL, et al. Prognostic value of bone marrow histology in chronic lymphocytic leukemia. A study of 335 untreated cases from a single institution. Haematologica 1994; 79: 334-341.  

83. Pangalis GA, Roussou PA, Kittas C, et al. Patterns of bone marrow involvement in chronic lymphocytic leukemia and small lymphocytic (well differentiated) non-Hodgkin's lymphoma. Its clinical significance in relation to their differential diagnosis and prognosis. Cancer 1984; 54: 702-708.

 84. Geisler C, Ralfkiaer E, Hansen MM, et al. The bone marrow histological pattern has independent prognostic value in early stage chronic lymphocytic leukaemia. Br J Haematol 1986; 62: 47-54.

 85. Geisler CH, Hou-Jensen K, Jensen OM, et al. The bone-marrow infiltration pattern in B-cell chronic lymphocytic leukemia is not an important prognostic factor. Danish CLL Study Group. Eur J Haematol 1996; 57: 292-300.

 86. Oudat R, Keating MJ, Lerner S, et al. Significance of the levels of bone marrow lymphoid infiltrate in chronic lymphocytic leukemia patients with nodular partial remission. Leukemia 2002; 16: 632-635.  

87. Schade U, Bock O, Vornhusen S, et al. Bone marrow infiltration pattern in B-cell chronic lymphocytic leukemia is related to immunoglobulin heavy-chain variable region mutation status and expression of 70-kd zeta-associated protein (ZAP-70). Hum Pathol 2006; 37: 1153-1161.

 88. Arcaini L, Burcheri S, Rossi A, et al. Nongastric marginal-zone B-cell MALT lymphoma: prognostic value of disease dissemination. Oncologist 2006; 11: 285-291.

 89. Specht L, Nissen NI. Prognostic factors in Hodgkin's disease stage IV. Eur J Haematol 1988; 41: 359-367.

 90. Specht L, Nissen NI. Prognostic factors in Hodgkin's disease stage III with special reference to tumour burden. Eur J Haematol 1988; 41: 80-87.

 91. Dingli D, Kyle RA, Rajkumar SV, et al. Immunoglobulin free light chains and solitary plasmacytoma of bone. Blood 2006; 108: 1979-1983.  

92. Cesana C, Klersy C, Brando B, et al. Prognostic value of circulating CD34+ cells in myelodysplastic syndromes. Leuk Res 2008; 32: 1715-1723.  

93. Patnaik MM, Lasho TL, Finke CM, et al. Isolated del(5q) in myeloid malignancies: clinicopathologic and molecular features in 143 consecutive patients. Am J Hematol 2011; 86: 393-398.  

94. Matsushima T, Handa H, Yokohama A, et al. Prevalence and clinical characteristics of myelodysplastic syndrome with bone marrow eosinophilia or basophilia. Blood 2003; 101: 3386-3390.  

95. Jaffe ES. The 2008 WHO classification of lymphomas: implications for clinical practice and translational research. Hematology Am Soc Hematol Educ Program 2009; 523-531.  

96. WHO classification of tumors of haematopoietic and lymphoid tissues. Swerdlow SH, Campo E, Harris NL, et al. (ed.). IARC, Lyon 2008.  

97. Carbone A, Santoro A. How I treat: diagnosing and managing “in situ” lymphoma. Blood 2011; 117: 3954-3960.

 98. Lamant L, de Reyniès A, Duplantier MM, et al. Gene-expression profiling of systemic anaplastic large-cell lymphoma reveals differences based on ALK status and two distinct morphologic ALK+ subtypes. Blood 2007; 109: 2156-2164.

 99. Gascoyne RD, Lamant L, Martin-Subero JI, et al. ALK-positive diffuse large B-cell lymphoma is associated with Clathrin-ALK rearrangements: report of 6 cases. Blood 2003; 102: 2568-2573.

100. De Paepe P, Baens M, van Krieken H, et al. ALK activation by the CLTC-ALK fusion is a recurrent event in large B-cell lymphoma. Blood 2003; 102: 2638-2641.

101. Delsol G, Lamant L, Mariamé B, et al. A new subtype of large B-cell lymphoma expressing the ALK kinase and lacking the 2; 5 translocation. Blood 1997; 89: 1483-1490.

102. Karnan S, Tagawa H, Suzuki R, et al. Analysis of chromosomal imbalances in de novo CD5-positive diffuse large-B-cell lymphoma detected by comparative genomic hybridization. Genes Chromosomes Cancer 2004; 39: 77-81.

103. Yamaguchi M, Ohno T, Oka K, et al. De novo CD5-positive diffuse large B-cell lymphoma: clinical characteristics and therapeutic outcome. Br J Haematol 1999; 105: 1133-1139.

104. Yamaguchi M, Seto M, Okamoto M, et al. De novo CD5+ diffuse large B-cell lymphoma: a clinicopathologic study of 109 patients. Blood 2002; 99: 815-821.

105. Harada S, Suzuki R, Uehira K, et al. Molecular and immunological dissection of diffuse large B cell lymphoma: CD5+, and CD5- with CD10+ groups may constitute clinically relevant subtypes. Leukemia 1999; 13: 1441-1447.

106. Kroft SH, Howard MS, Picker LJ, et al. De novo CD5+ diffuse large B-cell lymphomas. A heterogeneous group containing an unusual form of splenic lymphoma. Am J Clin Pathol 2000; 114: 523-533.

107. Salles G, de Jong D, Xie W, et al. Prognostic significance of immunohistochemical biomarkers in diffuse large B-cell lymphoma: a study from the Lunenburg Lymphoma Biomarker Consortium. Blood 2011; 117: 7070-7078.

108. Al-Sweedan SA, Neglia JP, Steiner ME, et al. Characteristics of patients with TEL-AML1-positive acute lymphoblastic leukemia with single or multiple fusions. Pediatr Blood Cancer 2007; 48: 510-514.

109. Suggs JL, Cruse JM, Lewis RE. Aberrant myeloid marker expression in precursor B-cell and T-cell leukemias. Exp Mol Pathol 2007; 83: 471-473.

110. Gorczyca W. Flow cytometry in neoplastic hematopathology. Taylor and Francis, London, New York 2006.

111. Abdelhaleem M. Frequent but nonrandom expression of myeloid markers on de novo childhood acute lymphoblastic leukemia. Exp Mol Pathol 2007; 83: 138-141.

112. Reid AG, Seppa L, von der Weid N, et al. A t(12;17)(p13;q12) identifies a distinct TEL rearrangement-negative subtype of precursor-B acute lymphoblastic leukemia. Cancer Genet Cytogenet 2006; 165: 64-69.

113. Johnsen HE, Bøgsted M, Klausen TW, et al., Multiparametric flow cytometry profiling of neoplastic plasma cells in multiple myeloma. Cytometry B Clin Cytom 2010; 78: 338-347.

114. Damle RN, Wasil T, Fais F, et al. Ig V gene mutation status and CD38 expression as novel prognostic indicators in chronic lymphocytic leukemia. Blood 1999; 94: 1840-1847.

115. Ibrahim S, Keating M, Do KA, et al. CD38 expression as an important prognostic factor in B-cell chronic lymphocytic leukemia. Blood 2001; 98: 181-186.

116. Chiecchio L, Protheroe RK, Ibrahim AH, et al. Deletion of chromosome 13 detected by conventional cytogenetics is a critical prognostic factor in myeloma. Leukemia 2006; 20: 1610-1617.

117. Malavasi F, Deaglio S, Damle R, et al. CD38 and chronic lymphocytic leukemia: a decade later. Blood 2011; 118: 3470-3478.

118. Dürig J, Naschar M, Schmücker U, et al. CD38 expression is an important prognostic marker in chronic lymphocytic leukaemia. Leukemia 2002; 16: 30-35.

119. Domingo-Domènech E, Domingo-Clarós A, Gonzàlez-Barca E, et al. CD38 expression in B-chronic lymphocytic leukemia: association with clinical presentation and outcome in 155 patients. Haematologica 2002; 87: 1021-1027.

120. Kröber A, Seiler T, Benner A, et al. V(H) mutation status, CD38 expression level, genomic aberrations, and survival in chronic lymphocytic leukemia. Blood 2002; 100: 1410-1416.

121. Damle RN, Batliwalla FM, Ghiotto F, et al. Telomere length and telomerase activity delineate distinctive replicative features of the B-CLL subgroups defined by immunoglobulin V gene mutations. Blood 2004; 103: 375-382.

122. Damle RN, Temburni S, Calissano C, et al. CD38 expression labels an activated subset within chronic lymphocytic leukemia clones enriched in proliferating B cells. Blood 2007; 110: 3352-3359.

123. Dearden CE, Matutes E, Cazin B, et al. High remission rate in T-cell prolymphocytic leukemia with CAMPATH-1H. Blood 2001; 98: 1721-1726.

124. Montesinos P, Rayón C, Vellenga E, et al. Clinical significance of CD56 expression in patients with acute promyelocytic leukemia treated with all-trans retinoic acid and

anthracycline-based regimens. Blood 2011; 117(6): 1799-1805.

125. Gorczyca W, Sun ZY, Cronin W, et al. Immunophenotypic pattern of myeloid populations by flow cytometry analysis. Methods Cell Biol 2011; 103: 221-266.

126. Murray CK, Estey E, Paietta E, et al. CD56 expression in acute promyelocytic leukemia: a possible indicator of poor treatment outcome? J Clin Oncol 1999; 17: 293-297.

127. Ferrara F, Morabito F, Martino B, et al. CD56 expression is an indicator of poor clinical outcome in patients with acute promyelocytic leukemia treated with simultaneous all-trans-retinoic acid and chemotherapy. J Clin Oncol 2000; 18: 1295-1300.

128. Ito S, Ishida Y, Oyake T, et al. Clinical and biological significance of CD56 antigen expression in acute promyelocytic leukemia. Leuk Lymphoma 2004; 45: 1783-1789.

129. Suzuki R, Kagami Y, Takeuchi K, et al. Prognostic significance of CD56 expression for ALK-positive and ALK-negative anaplastic large-cell lymphoma of T/null cell phenotype. Blood 2000; 96: 2993-3000.

130. Katzenberger T, Petzoldt C, Höller S, et al. The Ki67 proliferation index is a quantitative indicator of clinical risk in mantle cell lymphoma. Blood 2006; 107: 3407.

131. Determann O, Hoster E, Ott G, et al. Ki-67 predicts outcome in advanced-stage mantle cell lymphoma patients treated with anti-CD20 immunochemotherapy: results from randomized trials of the European MCL Network and the German Low Grade Lymphoma Study Group. Blood 2008; 111: 2385-2387.

132. Klapper W, Hoster E, Determann O, et al. Ki-67 as a prognostic marker in mantle cell lymphoma-consensus guidelines of the pathology panel of the European MCL Network. J Hematop 2009 Jun 16. [Epub ahead of print].

133. Catherwood MA, Matthews C, Niblock R, et al. ZAP-70 mRNA quantification in B-cell chronic lymphocytic leukaemia. Eur J Haematol 2006; 76: 294-298.

134. Crespo M, Bosch F, Villamor N, et al. ZAP-70 expression as a surrogate for

immunoglobulin-variable-region mutations in chronic lymphocytic leukemia. N Engl J Med 2003; 348: 1764-1775.

135. Dürig J, Nückel H, Cremer M, et al. ZAP-70 expression is a prognostic factor in chronic lymphocytic leukemia. Leukemia 2003; 17: 2426-2434.

136. Hüttmann A, Klein-Hitpass L, Thomale J, et al. Gene expression signatures separate B-cell chronic lymphocytic leukaemia prognostic subgroups defined by ZAP-70 and CD38 expression status. Leukemia 2006; 20: 1774-1782.

137. Orchard JA, Ibbotson RE, Davis Z, et al. ZAP-70 expression and prognosis in chronic lymphocytic leukaemia. Lancet 2004; 363: 105-111.

138. Rassenti LZ, Huynh L, Toy TL, et al. ZAP-70 compared with immunoglobulin heavy-chain gene mutation status as a predictor of disease progression in chronic lymphocytic leukemia. N Engl J Med 2004; 351: 893-901.

139. Wiestner A, Rosenwald A, Barry TS, et al. ZAP-70 expression identifies a chronic lymphocytic leukemia subtype with unmutated immunoglobulin genes, inferior clinical outcome, and distinct gene expression profile. Blood 2003; 101: 4944-4951.

140. Dicker F, Herholz H, Schnittger S, et al. The detection of TP53 mutations in chronic lymphocytic leukemia independently predicts rapid disease progression and is highly correlated with a complex aberrant karyotype. Leukemia 2009; 23: 117-124.

141. Dierlamm J, Michaux L, Criel A, et al. Genetic abnormalities in chronic lymphocytic leukemia and their clinical and prognostic implications. Cancer Genet Cytogenet 1997; 94: 27-35.

142. Montserrat E. Treatment options in chronic lymphocytic leukemia. Hematol J 2004; 5 Suppl 1: S2-9.

143. Pleyer L, Egle A, Hartmann TN, Greil R. Molecular and cellular mechanisms of CLL: novel therapeutic approaches. Nat Rev Clin Oncol 2009; 6: 405-418.

144. Stilgenbauer S. Advances in the use of alemtuzumab in CLL. Clin Adv Hematol Oncol 2008; 6: 23-24.

145. Montserrat E. Rituximab in chronic lymphocytic leukemia. Semin Oncol 2003; 30(1 Suppl 2): 34-39.

146. Chang H, Jiang AM, Qi CX. Aberrant nuclear p53 expression predicts hemizygous 17p (TP53) deletion in chronic lymphocytic leukemia. Am J Clin Pathol 2010; 133: 70-74.

147. Döhner H, Stilgenbauer S, Benner A, et al. Genomic aberrations and survival in chronic lymphocytic leukemia. N Engl J Med 2000; 343: 1910-1916.

148. Byrd JC, Smith L, Hackbarth ML, et al. Interphase cytogenetic abnormalities in chronic lymphocytic leukemia may predict response to rituximab. Cancer Res 2003; 63: 36-38.

149. Lozanski G, Heerema NA, Flinn IW, et al. Alemtuzumab is an effective therapy for chronic lymphocytic leukemia with p53 mutations and deletions. Blood 2004; 103: 3278-3281.

150. Rosenwald A, Wright G, Chan WC, et al. The use of molecular profiling to predict

survival after chemotherapy for diffuse large-B-cell lymphoma. N Engl J Med 2002; 346: 1937-1947.

151. Alizadeh AA, Eisen MB, Davis RE, et al. Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling. Nature 2000; 403: 503-511.

152. Rosenwald A, Staudt LM. Gene expression profiling of diffuse large B-cell lymphoma. Leuk Lymphoma 2003; 44 Suppl 3: S41-7.

153. Lossos IS, Alizadeh AA, Eisen MB, et al. Ongoing immunoglobulin somatic mutation in germinal center B cell-like but not in activated B cell-like diffuse large cell lymphomas. Proc Natl Acad Sci U S A 2000; 97: 10209-10213.

154. Huang JZ, Sanger WG, Greiner TC, et al. The t(14;18) defines a unique subset of diffuse large B-cell lymphoma with a germinal center B-cell gene expression profile. Blood 2002; 99: 2285-2290.

155. Gutiérrez-García G, Cardesa-Salzmann T, Climent F, et al. Gene-expression profiling and not immunophenotypic algorithms predicts prognosis in patients with diffuse large B-cell lymphoma treated with immunochemotherapy. Blood 2011; 117: 4836-4843.

156. Vitolo U, Bertini M, Brusamolino E, et al. MACOP-B treatment in diffuse large-cell lymphoma: identification of prognostic groups in an Italian multicenter study. J Clin Oncol 1992; 10: 219-227.

157. Yan Y, Chan WC, Weisenburger DD, et al. Clinical and prognostic significance of bone marrow involvement in patients with diffuse aggressive B-cell lymphoma. J Clin Oncol 1995; 13: 1336-1342.

158. Moller MB, Pedersen NT, Christensen BE. Diffuse large B-cell lymphoma: clinical implications of extranodal versus nodal presentation – a population-based study of 1575 cases. Br J Haematol 2004; 124: 151-159.

159. Aukema SM, Siebert R, Schuuring E, et al. Double-hit B-cell lymphomas. Blood 2011; 117: 2319-2331.

160. Savage KJ, Johnson NA, Ben-Neriah S, et al. MYC gene rearrangements are associated with a poor prognosis in diffuse large B-cell lymphoma patients treated with R-CHOP chemotherapy. Blood 2009; 114: 3533-3537.

161. Horning SJ. Natural history of and therapy for the indolent non-Hodgkin's lymphomas. Semin Oncol 1993; 20 (5 Suppl 5): 75-88.

162. Advani R, Rosenberg SA, Horning SJ. Stage I and II follicular non-Hodgkin's lymphoma: long-term follow-up of no initial therapy. J Clin Oncol 2004; 22: 1454-1459.

163. Bastion Y, Berger F, Bryon PA, et al. Follicular lymphomas: assessment of prognostic factors in 127 patients followed for 10 years. Ann Oncol 1991; 2 Suppl 2: 123-129.

164. Bastion Y, Coiffier B. Is the International Prognostic Index for Aggressive Lymphoma patients useful for follicular lymphoma patients? J Clin Oncol 1994; 12: 1340-1342.

165. Coiffier B, et al. Prognostic factors in follicular lymphomas. Semin Oncol 1993; 20(5 Suppl 5): 89-95.

166. Davies AJ, Rosenwald A, Wright G, et al., Transformation of follicular lymphoma to diffuse large B-cell lymphoma proceeds by distinct oncogenic mechanisms. Br J Haematol 2007; 136: 286-293.

167. Solal-Céligny P, Roy P, Colombat P, et al. Follicular lymphoma international prognostic index. Blood 2004; 104: 1258-1265.

168. Kondo E, Ogura M, Kagami Y, et al. Assessment of prognostic factors in follicular lymphoma patients. Int J Hematol 2001; 73: 363-368.

169. Decaudin D, Lepage E, Brousse N, et al. Low-grade stage III-IV follicular lymphoma: multivariate analysis of prognostic factors in 484 patients – a study of the groupe d'Etude des lymphomes de l'Adulte. J Clin Oncol 1999; 17: 2499-2505.

170. Cameron DA, Leonard RC, Mao JH, Prescott RJ. Identification of prognostic groups in follicular lymphoma. The Scotland and Newcastle Lymphoma Group Therapy Working Party. Leuk Lymphoma 1993; 10(1-2): 89-99.

171. Federico M, Vitolo U, Zinzani PL, et al. Prognosis of follicular lymphoma: a predictive model based on a retrospective analysis of 987 cases. Intergruppo Italiano Linfomi. Blood 2000; 95: 783-789.

172. Maartense E, Le Cessie S, Kluin-Nelemans HC, et al. Age-related differences among patients with follicular lymphoma and the importance of prognostic scoring systems: analysis from a population-based non-Hodgkin's lymphoma registry. Ann Oncol 2002; 13: 1275-1284.

173. Siddiqui M, Ristow K, Markovic SN, et al. Absolute lymphocyte count predicts overall survival in follicular lymphomas. Br J Haematol 2006; 134: 596-601.

174. Levine EG, Bloomfield CD. Cytogenetics of non-Hodgkin's lymphoma. J Natl Cancer Inst Monogr 1990: 7-12.

175. Tilly H, Rossi A, Stamatoullas A, et al. Prognostic value of chromosomal abnormalities in follicular lymphoma. Blood 1994; 84: 1043-1049.

176. Goodlad JR, Krajewski AS, Batstone PJ, et al. Primary cutaneous follicular lymphoma: a clinicopathologic and molecular study of 16 cases in support of a distinct entity. Am J Surg Pathol 2002; 26: 733-741.

177. Goodlad JR, MacPherson S, Jackson R, et al. Extranodal follicular lymphoma: a clinicopathological and genetic analysis of 15 cases arising at non-cutaneous extranodal sites. Histopathology 2004; 44: 268-276.

178. Shia J, Teruya-Feldstein J, Pan D, et al. Primary follicular lymphoma of the gastrointestinal tract: a clinical and pathologic study of 26 cases. Am J Surg Pathol 2002; 26: 216-224.

179. Lorsbach RB, Shay-Seymore D, Moore J, et al. Clinicopathologic analysis of follicular lymphoma occurring in children. Blood 2002; 99: 1959-1964.

180. Pittaluga S, Wlodarska I, Stul MS, et al. Mantle cell lymphoma: a clinicopathological study of 55 cases. Histopathology 1995; 26: 17-24.

181. Bosch F, López-Guillermo A, Campo E, et al. Mantle cell lymphoma: presenting features, response to therapy, and prognostic factors. Cancer 1998; 82: 567-575.

182. Meusers P, Engelhard M, Bartels H, et al. Multicentre randomized therapeutic trial for advanced centrocytic lymphoma: anthracycline does not improve the prognosis. Hematol Oncol 1989; 7: 365-380.

183. Hiddemann W, Dreyling M. Mantle cell lymphoma: therapeutic strategies are different from CLL. Curr Treat Options Oncol 2003; 4: 219-226.

184. Lenz G, Dreyling M, Hiddemann W. Mantle cell lymphoma: established therapeutic options and future directions. Ann Hematol 2004; 83: 71-77.

185. Berinstein NL, Mangel J. Integrating monoclonal antibodies into the management of mantle cell lymphoma. Semin Oncol 2004; 31(1 Suppl 2): 2-6.

186. Brugger W, Hirsch J, Grünebach F, et al. Rituximab consolidation after high-dose chemotherapy and autologous blood stem cell transplantation in follicular and mantle cell lymphoma: a prospective, multicenter phase II study. Ann Oncol 2004; 15: 1691-1698.

187. Jacquy C, Lambert F, Soree A, et al. Peripheral blood stem cell contamination in mantle cell non-Hodgkin lymphoma: the case for purging? Bone Marrow Transplant 1999; 23: 681-686.

188. Andersen NS, Donovan JW, Borus JS, et al. Failure of immunologic purging in mantle cell lymphoma assessed by polymerase chain reaction detection of minimal residual disease. Blood 1997; 90: 4212-4221.

189. Howard OM, Gribben JG, Neuberg DS, et al. Rituximab and CHOP induction therapy for newly diagnosed mantle-cell lymphoma: molecular complete responses are not predictive of progression-free survival. J Clin Oncol 2002; 20: 1288-1294.

190. Räty R, Franssila K, Joensuu H, et al. Ki-67 expression level, histological subtype, and the

International Prognostic Index as outcome predictors in mantle cell lymphoma. Eur J Haematol 2002; 69: 11-20.

191. Hoster E, Dreyling M, Klapper W, et al. A new prognostic index (MIPI) for patients with advanced-stage mantle cell lymphoma. Blood 2008; 111: 558-565.

192. Barlogie B, Epstein J, Selvanayagam P, Alexanian R. Plasma cell myeloma – new biological insights and advances in therapy. Blood 1989; 73: 865-879.

193. Kyle RA. Why better prognostic factors for multiple myeloma are needed. Blood 1994; 83: 1713-1716.

194. Kumar SK, Therneau TM, Gertz MA, et al. Clinical course of patients with relapsed multiple myeloma. Mayo Clin Proc 2004; 79: 867-874.

195. Avet-Loiseau H, Attal M, Moreau P, et al. Genetic abnormalities and survival in multiple myeloma: the experience of the Intergroupe Francophone du Myelome. Blood 2007; 109: 3489-3495.

196. Gertz MA, Lacy MQ, Dispenzieri A, et al. Clinical implications of t(11;14)(q13;q32), t(4;14)(p16.3;q32), and -17p13 in myeloma patients treated with high-dose therapy. Blood 2005; 106: 2837-2840.

197. Hanamura I, Stewart JP, Huang Y, et al. Frequent gain of chromosome band 1q21 in plasma-cell dyscrasias detected by fluorescence in situ hybridization: incidence increases from MGUS to relapsed myeloma and is related to prognosis and disease progression following tandem stem-cell transplantation. Blood 2006; 108: 1724-1732.

198. Keats JJ, Reiman T, Maxwell CA, et al. In multiple myeloma, t(4;14)(p16;q32) is an adverse prognostic factor irrespective of FGFR3 expression. Blood 2003; 101: 1520-1529.

199. Shaughnessy J, Jacobson J, Sawyer J, et al. Continuous absence of metaphase-defined cytogenetic abnormalities, especially of chromosome 13 and hypodiploidy, ensures long-term survival in multiple myeloma treated with Total Therapy I: interpretation in the context of global gene expression. Blood 2003; 101: 3849-3856.

200. Stewart AK, Bergsagel PL, Greipp PR, et al. A practical guide to defining high-risk myeloma for clinical trials, patient counseling and choice of therapy. Leukemia 2007; 21: 529-534.

201. Appelbaum FR, Rowe JM, Radich J, Dick JE. Acute myeloid leukemia. Hematology Am Soc Hematol Educ Program 2001; 62-86.

202. Löwenberg B, Downing JR, Burnett A. Acute myeloid leukemia. N Engl J Med 1999; 341: 1051-1062.

203. Rathnasabapathy R, Lancet JE. Management of acute myelogenous leukemia in the elderly. Cancer Control 2003; 10: 469-477.

204. Farag SS, Archer KJ, Mrózek K, et al. Pretreatment cytogenetics add to other prognostic factors predicting complete remission and long-term outcome in patients 60 years of age or older with acute myeloid leukemia: results from Cancer and Leukemia Group B 8461. Blood 2006; 108: 63-73.

205. Dastugue N, Payen C, Lafage-Pochitaloff M, et al. Prognostic significance of karyotype in de novo adult acute myeloid leukemia. The BGMT group. Leukemia 1995; 9: 1491-1498.

206. Grimwade D. The clinical significance of cytogenetic abnormalities in acute myeloid leukaemia. Best Pract Res Clin Haematol 2001; 14: 497-529.

207. Mrózek K, Heerema NA, Bloomfield CD. Cytogenetics in acute leukemia. Blood Rev 2004; 18: 115-136.

208. Grimwade D, Walker H, Oliver F, et al. The importance of diagnostic cytogenetics on outcome in AML: analysis of 1,612 patients entered into the MRC AML 10 trial. The Medical Research Council Adult and Children's Leukaemia Working Parties. Blood 1998; 92: 2322-2333.

209. Grimwade D, Hills RK, Moorman AV, et al. Refinement of cytogenetic classification in acute myeloid leukemia: determination of prognostic significance of rare recurring chromosomal abnormalities among 5876 younger adult patients treated in the United Kingdom Medical Research Council trials. Blood 2010; 116: 354-365.

210. Slovak ML, Kopecky KJ, Cassileth PA, et al. Karyotypic analysis predicts outcome of preremission and postremission therapy in adult acute myeloid leukemia: a Southwest Oncology Group/Eastern Cooperative Oncology Group Study. Blood 2000; 96: 4075-4083.

211. Byrd JC, Mrózek K, Dodge RK, et al. Pretreatment cytogenetic abnormalities are predictive of induction success, cumulative incidence of relapse, and overall survival in adult patients with de novo acute myeloid leukemia: results from Cancer and Leukemia Group B (CALGB 8461). Blood 2002; 100: 4325-4336.

212. Greenberg P, Cox C, LeBeau MM, et al. International scoring system for evaluating prognosis in myelodysplastic syndromes. Blood 1997; 89: 2079-2088.

213. List AF, Sandberg AA, Doll DC. Myelodysplastic syndromes, in Wintrobe's clinical hematology. Greer JP, Rodgers GM, et al. (eds.). Lippincott Williams and Wilkins, Philadelphia 2004; 2207-2234.

214. Bernasconi P, Alessandrino EP, Boni M, et al. Karyotype in myelodysplastic syndromes: relations to morphology, clinical evolution, and survival. Am J Hematol 1994; 46: 270-277.

215. Bernasconi P, Boni M, Cavigliano PM, et al. Clinical relevance of cytogenetics in myelodysplastic syndromes. Ann N Y Acad Sci 2006; 1089: 395-410.

216. Bernasconi P, Klersy C, Boni M, et al. Incidence and prognostic significance of karyotype abnormalities in de novo primary myelodysplastic syndromes: a study on 331 patients from a single institution. Leukemia 2005; 19: 1424-1431.

217. Williams DL, Tsiatis A, Brodeur GM, et al. Prognostic importance of chromosome number in 136 untreated children with acute lymphoblastic leukemia. Blood 1982; 60: 864-871.

218. Kaspers GJ, Smets LA, Pieters R, et al. Favorable prognosis of hyperdiploid common acute lymphoblastic leukemia may be explained by sensitivity to antimetabolites and other drugs: results of an in vitro study. Blood 1995; 85: 751-756.

219. Look AT, Roberson PK, Williams DL, et al. Prognostic importance of blast cell DNA content in childhood acute lymphoblastic leukemia. Blood 1985; 65: 1079-1086.

220. Bloomfield CD, Goldman AI, Alimena G, et al. Chromosomal abnormalities identify high-risk and low-risk patients with acute lymphoblastic leukemia. Blood 1986; 67: 415-420.

221. Raimondi SC. Current status of cytogenetic research in childhood acute lymphoblastic leukemia. Blood 1993; 81: 2237-2251.

222. Jackson JF, Boyett J, Pullen J, et al. Favorable prognosis associated with hyperdiploidy in children with acute lymphocytic leukemia correlates with extra chromosome 6. A Pediatric Oncology Group study. Cancer 1990; 66: 1183-1189.

223. Harris MB, Shuster JJ, Carroll A, et al. Trisomy of leukemic cell chromosomes 4 and 10 identifies children with B-progenitor cell acute lymphoblastic leukemia with a very low risk of treatment failure: a Pediatric Oncology Group study. Blood 1992; 79: 3316-3324.

224. Heerema NA, Sather HN, Sensel MG, et al. Prognostic impact of trisomies of chromosomes 10, 17, and 5 among children with acute lymphoblastic leukemia and high hyperdiploidy (> 50 chromosomes). J Clin Oncol 2000; 18: 1876-1887.

225. Pui CH, Carroll AJ, Head D, et al. Near-triploid and near-tetraploid acute lymphoblastic leukemia of childhood. Blood 1990; 76: 590-596.

226. Heerema NA, Nachman JB, Sather HN, et al. Hypodiploidy with less than 45 chromosomes confers adverse risk in childhood acute lymphoblastic leukemia: a report from the children's cancer group. Blood 1999; 94: 4036-4045.

227. Raimondi SC, Zhou Y, Mathew S, et al. Reassessment of the prognostic significance of hypodiploidy in pediatric patients with acute lymphoblastic leukemia. Cancer 2003; 98: 2715-2722.

228. Forestier E, Johansson B, Gustafsson G, et al. Prognostic impact of karyotypic findings in childhood acute lymphoblastic leukaemia: a Nordic series comparing two treatment periods. For the Nordic Society of Paediatric Haematology and Oncology (NOPHO) Leukaemia Cytogenetic Study Group. Br J Haematol 2000; 110: 147-153.

229. Pui CH, Carroll AJ, Raimondi SC, et al. Clinical presentation, karyotypic characterization, and treatment outcome of childhood acute lymphoblastic leukemia with a near-haploid or hypodiploid less than 45 line. Blood 1990; 75: 1170-1177.

230. Pui CH, Williams DL, Raimondi SC, et al. Hypodiploidy is associated with a poor prognosis in childhood acute lymphoblastic leukemia. Blood 1987; 70: 247-253.

231. Cimino G, Elia L, Mancini M, et al. Clinico-biologic features and treatment outcome of adult pro-B-ALL patients enrolled in the GIMEMA 0496 study: absence of the ALL1/AF4 and of the BCR/ABL fusion genes correlates with a significantly better clinical outcome. Blood 2003; 102: 2014-2020.

232. Mancini M, Scappaticci D, Cimino G, et al. A comprehensive genetic classification of adult acute lymphoblastic leukemia (ALL): analysis of the GIMEMA 0496 protocol. Blood 2005; 105: 3434-3441.

Address for correspondence

Wojciech Gorczyca MD, PhD

Director of Flow Cytometry

CSI Laboratories

2580 Westside Parkway

Alpharetta, GA, USA

private (cell): (914) 588-6109/business: (800) 459-1185

e-mail: wgorczyca@csilaboratories.com or wgorczyca59@gmail.com
Copyright: © 2012 Polish Association of Pathologists and the Polish Branch of the International Academy of Pathology This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License (http://creativecommons.org/licenses/by-nc-sa/4.0/), allowing third parties to copy and redistribute the material in any medium or format and to remix, transform, and build upon the material, provided the original work is properly cited and states its license.
Quick links
© 2022 Termedia Sp. z o.o. All rights reserved.
Developed by Bentus.