eISSN: 1896-9151
ISSN: 1734-1922
Archives of Medical Science
Current issue Archive Special issues Subscription
Editorial System
Submit your Manuscript
SCImago Journal & Country Rank
2/2006
vol. 2
 
Share:
Share:

Original paper
Detection of circulating carcinoma cells in peripheral blood collected from patients with ovarian cancer by using different molecular markers – a preliminary report

Ewa Góra
,
Maciej J. Żelazowski
,
Leszek Gottwald
,
Andrzej Bieńkiewicz
,
Andrzej K. Bednarek

Arch Med Sci 2006; 2, 2: 101-107
Online publish date: 2006/06/22
Article file
Get citation
 
 

Introduction
Despite the great improvement in primary tumour treatment, it has not been possible to significantly suppress the metastasis, which remains one of the main causes of cancer-related deaths. Our knowledge about molecular mechanisms responsible for dissemination of the tumour cells and metastasis is relatively limited. Moreover, efficient techniques enabling the patients’ diagnosis, prognosis and therapy remain far from perfection. Especially, the prognostic significance of circulating tumour cells’ (CTC) presence remains to some extent unclear. Malignant tumours are capable of metastasizing because of the release of their cells into the vascular and lymphatic systems. Additionally, such circulating cancer cells should be capable to colonize distant and distinct tissues. The metastasis itself is considered as a cascade of events [1], all of which must be completed in order to form a secondary tumour. First, disseminated malignant cells have to survive in the blood or lymph until they are halted in a different organ [2]. Second, the cells have to survive in the secondary sites and proliferate to form a metastatic growth. Especially, these latter mechanisms are extremely inefficient. As reported in [3], approx. 2% and 0.02% of different types of tumour cells, purposely injected into mice or chicken embryos, survived and proliferated in the secondary place, respectively. These findings may suggest a need to revise the modern persuasion about the meaning of single tumour cell detection in peripheral blood (PB) or bone marrow (BM) by using standard cancer diagnostic procedures. The oldest and the most frequently used technique for identification of tumour cells is standard histopathological procedure. This involves all kinds of staining (mainly haematoxylin and eosin; H&E) in combination with cytologic assessment. However, this kind of evaluation is very arbitrary, thus it can be performed only by an experienced technician. Another disadvantage of this technique is its limitation to lymph node (LN), BM and blood analyses only. It has been proven by Ridell and Landys [4] that by using conventional histopathological methods at a time of primary diagnosis without clinical signs of metastasis to the bones, the probability of finding isolated breast cancer cells in BM is ca. 4% [4]. The development of immunohisto- and immunocytochemistry enabled a significant increase in the detection sensitivity of nodal micrometastases, but results of these assays are often affected with false-positive staining derived from expression of cytokeratins (CK), epithelial antigens or mucins (MUC) in haematopoietic cells [5]. Apart from false-positive results, immunocytochemical techniques lack the methodological standardization amongst different laboratories which is another great disadvantage and one of the major reasons why this technique has not been approved by both the International Society of Cell Therapy and the National Cancer Institute as a reliable tool for detection of disseminated tumour cells. The molecular approach to diagnosis is now routinely used only in haematological malignancies [6]. Accordingly, there were numerous attempts to evaluate distinct DNA and RNA markers for detection of CTCs in solid tumours. Among DNA markers applied in PCR-based techniques in diagnostics of various malignancies are: mutations in proto-oncogenes (for instance k-ras) [7, 8, 9] or tumour suppressor genes (as p53) [7, 10, 11]. Apart from these, approaches directed towards identification of changes in microsatellite DNA in circulating cells were also applied [12, 13]. It is thought, however, that the presence of such a kind of marker does not equal the idea that viable CTCs are found. This belief is supported by DNA relative resistance to decomposition in comparison with RNA molecules. Due to the fact that no unique DNA marker has been discovered, fast and easy development of PCR-based techniques in determination of the number of CTCs in PB as a diagnostic procedure, has been hampered. However, that negative state induced the investigation of mRNA transcripts present in tumour diseases, which could be easily detected by using RT-PCR method. This approach enables detecting of only living CTCs, but on the other hand, it does not allow quantifying CTCs in a credible way. Few techniques can be applied in order to obtain higher efficiency in isolating CTCs from the blood and to receive more specific results, mainly Histopaque®/Ficoll density gradient centrifugation and/or immunomagnetic enrichment. The first method allows for isolating of the nuclear fraction of blood cells, among which CTCs are present due to their density, similar to lymphocytes. The latter – provides a relatively easy way of separation of CTCs from normal blood cells. There are two kinds of immunomagnetic enrichment – positive or negative, depending on the presence/absence of the unique epitopes on the CTCs. In positive selection magnetic beads are coated with monoclonal antibodies (mAbs) against surface antigens present on CTCs (CTCs are isolated with the beads); in negative selection – beads are coated with mAbs against normal blood cells surface antigens (CTCs are left in the supernatant after magnetic immobilisation of beads). The RNA markers used in this study were: cytokeratin 19 (CK19), generally used for all kinds of epithelial tumours, telomerase catalytic subunit (hTERT) – a general tumour-associated marker and two markers thought to be tissue-specific for ovaries: steroidogenic acute regulatory protein (StAR) and creatine kinase B (CKB).
CK19
Cytokeratins belong to the intermediate filaments, which together with the microfilaments and microtubules compose the cytoskeleton of almost all eukaryotic cells [14, 15]. In the human cells there are twenty CKs described so far [numbered from 1 to 20; 1-8 are neutral/basic = type I, whereas 9-20 CKs display more acidic character = type II [14]. This type of molecules can be used as molecular markers because different epithelial cells show contrast in combination of the CKs expressed (there is always a CK type I and a CK type II expressed), for instance most common pair found in breast cancer cells is CK8/CK19 or CK8/CK18 [16]. Although most researchers assess the expression levels of CK7 and CK20 in ovarian cancer (OC), we decided on CK19, because of its common representation in OC cells [17].
hTERT
Telomerase is ribonucleoprotein enzyme that stabilises telomere length by adding hexameric (TTAGGG) repeats to the telomeric ends of chromosomes [18]. This way it can compensate for the loss of telomeric repeats with every cell division. Telomerase consists of three subunits: two of them are proteins (hTERT and hTP), whereas hTR is the RNA coding template element [19, 20]. The hTERT is the catalytical subunit of the human telomerase [19, 20]. The enzyme is expressed in embryonic cells and in adult male germline cells [21], but it is undetectable in most of normal somatic cells, except for proliferative cells with tissue renewing potential (e.g.: haemopoietic stem cells and activated lymphocytes [22, 23], basal cells of epidermis and intestinal crypt cells and others). It was proposed that re-expression of telomerase is a critical event responsible for continuous tumour cell growth [24, 25]. For the last ten years, using various methods, a number of cell lines and malignant tumours have been found to express telomerase activity (TA) [26-29], suggesting that telomerase activation may be a critical step in cell immortalization and carcinogenesis. One of the most promising ways to use telomerase in diagnosis of carcinomas is the possibility to detect circulating carcinoma cells by presence of TA. OCs are the tumour type in which TA has been also displayed [27, 30]. Unfortunately, it was found that activated lymphocytes express telomerase on the detectable level [22, 23].
StAR
StAR is responsible for the transport of cholesterol through the outer membrane to the inner mitochondrial membrane during the biosynthesis of progesterone [31-34]. It is a 30-kDa phosphoprotein, which gene’s mutations in humans lead to possibly lethal disease called congenital lipoid adrenal hyperplasia (lipoid CAH) [32]. Characteristic symptoms of this disorder are: inability to synthesise sufficient amounts of steroids, superabundant levels of cholesterol and its esters in adrenal and testicular steroidogenic cells. Patients afflicted with this disease are unable to survive unless they are treated with appropriate steroids [34]. The same symptoms were observed in StAR knockout mice [35]. Although expression of StAR has been confirmed in various human tissues (like the adrenal glands and gonads [32], discrete regions of the mouse brain [36], or human liver [37]). Recently, StAR was reported as a valuable marker in OC [38].
CKB
Creatine kinase B enzyme has been shown to be overexpressed in many tumour tissues, including OC, as far as in 1987 [39]. Although several attempts failed to assess CKB’s prognostic value in OC, its levels correlation with patient age, menopausal status, clinical stage, histological grade or size of residual tumour [40, 41], this gene has been confirmed overexpressed in OC cells by using microarray technology and real-time RT-PCR in recent years [42].
Materials and methods Patients
The blood samples from 20 women were collected in two parts [blood from each 10-person group was used either to perform real-time RT-PCR, or TA PCR-ELISA (enzyme-linked immunosorbent assay)]. The patients had not received any systemic chemotherapy before the blood collection. Blood collection Blood samples (10 ml) were collected in tubes with sodium citrate and stored at 4°C for a maximum of 72 hours before isolation of CTCs.
Isolation of CTCs
Peripheral blood mononuclear cells (PBMCs) were isolated by using Histopaque® (Sigma) density gradient centrifugation according to manufacturer’s recommendations. After collecting mononuclear blood cells, circulating cancer cells were isolated using Dynabeads® Epithelial Enrich (Dynal Biotech) according to manufacturer’s directions in order to obtain only epithelial fraction of cells isolated previously. Rosetted cells isolated with immunomagnetic beads were then frozen in liquid nitrogen and stored at -80°C until the isolation of RNAs or detection of TA. This two-step protocol assured unique specificity of markers detection, because it prevents the activated lymphocytes or any other blood cells showing illegitimate expression of detected marker from affecting the results.
Isolation of RNAs and reverse transcription
RNAs were extracted using Trizol reagent (Invitrogen) according to manufacturer’s recommendations. cDNA synthesis was performed from total RNA at a total volume of 60 µl using ImProm-II reverse transcriptase (Promega, Madison, WI).
Real-time PCR
Real-time RT-PCR was performed using Corbett Research RG-3000 machines. Sequences of primers used, annealing and detection temperatures are presented in Table I. All reactions were performed in duplicate. Detection of PCR products was performed with SYBR® Green I using qPCR Core kit for SYBR® Green I (Eurogentec, Belgium).
Quantification of telomerase activity
The assays were performed using TeloTAGGG Telomerase PCR ELISAPLUS® kit (Roche, Germany) according to manufacturer instructions. TA was measured twice in independent experiments on 1 µg of proteins or on 20 µl of cell extracts when insufficient amounts of proteins were available. Furthermore, because telomerase has essential RNA component, aliquots of samples were treated with RNase to assess the specificity of reaction.
Preliminary results
Quantification of TA by using TeloTAGGG Telomerase PCR ELISAPLUS® kit Results obtained from TA PCR ELISA assay are gathered in Table II.
Real-time RT-PCR & electrophoresis
End results of real-time RT-PCR experiments (shown in Table III) were also confirmed by electrophoresis of these reactions’ products. An example of such an analysis of detection of CK-19 is shown in Figure 1.
Discussion
Neither revolutionary discoveries in human genomics and proteomics, nor great advancement in techniques applied in laboratories worldwide (like introducing of microarray technology or use of real-time PCR) fulfilled the hopes for understanding and overcoming cancer diseases. Although we know more and more each year, no significant changes towards treatment and diagnosis of malignancies have been made so far. To surmount that state, researchers survey for new molecular markers appropriate for easy and credible detection of living cancer cells in the blood. In view of the fact that OC appears to be genetically heterogeneous, scientists lean to the opinion of necessity to use more than one marker in order to elevate the specificity and sensitivity of their assays [43]. That is why we decided on the four genes: cytokeratin 19 (CK19), catalytic subunit of telomerase (hTERT), steroidogenic acute regulatory protein (StAR) and creatine kinase B (CKB). In our opinion, real-time PCR-based detection of these genes amongst PBMC-fraction of blood collected from patients with epithelial OC would prove to be reliable and sufficient to prove the presence of CTCs in patients. Apart from that, we also wanted to evaluate usefulness of one particular commercial kit (TeloTAGGG Telomerase PCR ELISAPLUS®) designed for assessment of TA. Most researchers assessed TA in tissue samples or peritoneal washings collected intraoperatively. There were only a few similar surveys to ours, in which CTCs of OC were isolated by using immunomagnetic enrichment (for example [44] and [45]). Stimpfl et al. [44], compared detection of CTCs in PB by using flow cytometry with RT-PCR of immunomagnetic-enriched fraction of blood cells. The authors assumed that detection of MUC-1 mRNA in cells isolated from PB is sufficient to show that ovarian carcinoma cells are present in the PB of examined OC patients. The selected marker did not prove to be specific, because of a weak expression of MUC-1 found in samples collected from healthy persons [44] (see also [5] and Introduction). The survey described in [45] was very similar to our PCR-ELISA assay. Detection of TA in PB of OC patients (stages III and IV) was preceded by immunomagnetic isolation of epithelial cells (both positive and negative methods were applied). TA was then evaluated with TRAPeze ELISA Telomerase detection kit (Intergen, Purchase, NY), which working principle is identical with that of the kit used in our study. TA was detectable in cells from all stage IV patients (8/8 patients; 100%) and 7 of the 20 stage III patients (35%) [45]. No significant differences between the results obtained from either positive or negative isolation methods were observed, which meant that there was no loss of CTCs due to the lack of expression of surface antigens used as targets for mAbs [45]. Low sensitivity of assay in stage III patients was explained with the reasoning that at this stage the disease spreads mainly through lymphatic routes. These results and conclusions are in disagreement with ours, because in our study 5 patients were at stage III and TA assessed was significantly higher than in negative controls. Moreover, in one patient TA in PB was higher than in the peritoneal fluid. In [46], Saygan-Karamursel et al. wanted to estimate TA in malignant, benign and normal gynaecological tissue samples by using the Telomerase-PCR ELISA kit. The mean level of TA of the malignant tumour samples was significantly higher than the benign pathologies and normal tissues. However, TA measured in benign diseases was few-fold higher than in normal tissues [46]. These results are in accordance with our results from two patients with cysts (TA in these samples was comparable with that in cancer patients), but together with previously cited obtained in [45], prove that this technique cannot be used in diagnosis of gynaecological diseases. Moreover, Roche® has recently withdrawn TeloTAGGG Telomerase PCR ELISAPLUS® kit from sale without publicising any reasons for that. Results obtained in real-time RT-PCR assays are more promising. Although expression of CK-19 was reaffirmed in all samples (even from patients afflicted with cysts), these were the positive results we expected after scrutinizing the literature (CK-19 was found to be inaccurate RT-PCR marker in PB in [47]). In addition, our hTERT real-time RT-PCR assay proved to be more reliable than PCR ELISA kit. However, two genes selected to show tissue specificity (CKB and StAR) did not turn out to be as selective and sensitive among the samples from patients with gynaecological diseases as we thought, at least in this preliminary report.
Conclusions
Both results of our study and the small number of articles on molecular markers suitable for detecting CTCs in PB of patients with OC show that this aim will be hard to achieve by using standard molecular biology tools, like PCR or even real-time PCR. However, these attempts should not be terminated, because if any of them succeeds, the diagnostic value of this technique will be great.
Acknowledgments
This study was founded in part by Medical University of Lodz grant 502-11-029.

References
1. Timar J, Csuka O, Orosz Z, Jeney A, Kopper L. Molecular pathology of tumor metastasis. I. Predictive pathology. Pathol Oncol Res 2001; 7: 217-30. 2. Chambers AF, Groom AC, MacDonald IC. Dissemination and growth of cancer cells in metastatic sites. Nat Rev Cancer 2002; 2: 563-72. 3. Chambers AF, Naumov GN, Vantyghem SA, Tuck AB. Molecular biology of breast cancer metastasis. Clinical implications of experimental studies on metastatic inefficiency. Breast Cancer Res 2000; 2: 400-7. 4. Ridell B, Landys K. Incidence and histopathology of metastases of mammary carcinoma in biopsies from the posterior iliac crest. Cancer 1979; 44: 1782-8. 5. Brugger W, Buhring HJ, Grunebach F, Vogel W, Kaul S, Muller R, et al. Expression of MUC-1 epitopes on normal bone marrow: implications for the detection of micrometastatic tumor cells. J Clin Oncol 1999; 17: 1535-44. 6. Morgan GJ, Pratt G. Modern molecular diagnostics and the management of haematological malignancies. Clin Lab Haematol 1998; 20: 135-41. 7. Hibi K, Robinson CR, Booker S, Wu L, Hamilton SR, Sidransky D, et al. Molecular detection of genetic alterations in the serum of colorectal cancer patients. Cancer Res 1998; 58: 1405-7. 8. Tada M, Omata M, Kawai S, Saisho H, Ohto M, Saiki RK, et al. Detection of ras gene mutations in pancreatic juice and peripheral blood of patients with pancreatic adenocarcinoma. Cancer Res 1993; 53: 2472-4. 9. Ryan BM, Lefort F, McManus R, Daly J, Keeling PW, Weir DG, et al. A prospective study of circulating mutant KRAS2 in the serum of patients with colorectal neoplasia: strong prognostic indicator in postoperative follow up. Gut 2003; 52: 101-8. 10. Shao ZM, Wu J, Shen ZZ, Nguyen M. p53 mutation in plasma DNA and its prognostic value in breast cancer patients. Clin Cancer Res 2001; 7: 2222-7. 11. Stirewalt DL, Kopecky KJ, Meshinchi S, Appelbaum FR, Slovak ML, Willman CL, et al. FLT3, RAS, and TP53 mutations in elderly patients with acute myeloid leukemia. Blood 2001; 97: 3589-95. 12. Carstensen T, Schmidt B, Engel E, Jandrig B, Witt C, Fleischhacker M. Detection of cell-free DNA in bronchial lavage fluid supernatants of patients with lung cancer. Ann N Y Acad Sci 2004; 1022: 202-10. 13. Utting M, Werner W, Dahse R, Schubert J, Junker K. Microsatellite analysis of free tumor DNA in urine, serum, and plasma of patients: a minimally invasive method for the detection of bladder cancer. Clin Cancer Res 2002; 8: 35-40. 14. Nagle RB. Intermediate filaments: a review of the basic biology. Am J Surg Pathol 1988; 12 (Suppl. 1): 4-16. 15. Steinert PM, Roop DR. Molecular and cellular biology of intermediate filaments. Annu Rev Biochem 1988; 57: 593-625. 16. Seregni E, Coli A, Mazzucca N. Circulating tumour markers in breast cancer. Eur J Nucl Med Mol Imaging 2004; 31 (Suppl. 1): S15-22. 17. Welsh JB, Zarrinkar PP, Sapinoso LM, Kern SG, Behling CA, Monk BJ, et al. Analysis of gene expression profiles in normal and neoplastic ovarian tissue samples identifies candidate molecular markers of epithelial ovarian cancer. Proc Natl Acad Sci U S A 2001; 98: 1176-81. 18. Wellinger RJ, Sen D. The DNA structures at the ends of eukaryotic chromosomes. Eur J Cancer 1997; 33: 735-49. 19. Feng J, Funk WD, Wang SS, Weinrich SL, Avilion AA, Chiu CP, et al. The RNA component of human telomerase. Science 1995; 269: 1236-41. 20. Lingner J, Hughes TR, Shevchenko A, Mann M, Lundblad V, Cech TR. Reverse transcriptase motifs in the catalytic subunit of telomerase. Science 1997; 276: 561-7. 21. Wright WE, Piatyszek MA, Rainey WE, Byrd W, Shay JW. Telomerase activity in human germline and embryonic tissues and cells. Dev Genet 1996; 18: 173-9. 22. Hiyama K, Hirai Y, Kyoizumi S, Akiyama M, Hiyama E, Piatyszek MA, et al. Activation of telomerase in human lymphocytes and hematopoietic progenitor cells. J Immunol 1995; 155: 3711-5. 23. Norrback KF, Roos G. Telomeres and telomerase in normal and malignant haematopoietic cells. Eur J Cancer 1997; 33: 774-80. 24. Campisi J. The biology of replicative senescence. Eur J Cancer 1997; 33: 703-9. 25. Kipling D. Telomere structure and telomerase expression during mouse development and tumorigenesis. Eur J Cancer 1997; 33: 792-800. 26. Bednarek AK, Sahin A, Brenner AJ, Johnston DA, Aldaz CM. Analysis of telomerase activity levels in breast cancer: positive detection at the in situ breast carcinoma stage. Clin Cancer Res 1997; 3: 11-6. 27. Duggan BD, Wan M, Yu MC, Roman LD, Muderspach LI, et al. Detection of ovarian cancer cells: comparison of a telomerase assay and cytologic examination. J Natl Cancer Inst 1998; 90: 238-42. 28. Gauthier LR, Granotier C, Soria JC, Faivre S, Boige V, Raymond E, et al. Detection of circulating carcinoma cells by telomerase activity. Br J Cancer 2001; 84: 631-5. 29. Faraoni I, Turriziani M, Masci G, De Vecchis L, Shay JW, Bonmassar E, et al. Decline in telomerase activity as a measure of tumor cell killing by antineoplastic agents in vitro. Clin Cancer Res 1997; 3: 579-85. 30. Kyo S, Kanaya T, Ishikawa H, Ueno H, Inoue M. Telomerase activity in gynecological tumors. Clin Cancer Res 1996; 2: 2023-8. 31. Sugawara T, Lin D, Holt JA, Martin KO, Javitt NB, Miller WL, et al. Structure of the human steroidogenic acute regulatory protein (StAR) gene: StAR stimulates mitochondrial cholesterol 27-hydroxylase activity. Biochemistry 1995; 34: 12506-12. 32. Lin D, Sugawara T, Strauss JF 3rd, Clark BJ, Stocco DM, Saenger P, et al. Role of steroidogenic acute regulatory protein in adrenal and gonadal steroidogenesis. Science 1995; 267: 1828-31. 33. Stocco DM, Clark BJ. Regulation of the acute production of steroids in steroidogenic cells. Endocr Rev 1996; 17: 221-44. 34. Stocco DM. Tracking the role of a star in the sky of the new millennium. Mol Endocrinol 2001; 15: 1245-54. 35. Caron KM, Soo SC, Wetsel WC, Stocco DM, Clark BJ, Parker KL. Targeted disruption of the mouse gene encoding steroidogenic acute regulatory protein provides insights into congenital lipoid adrenal hyperplasia. Proc Natl Acad Sci U S A 1997; 94: 11540-5. 36. King SR, Manna PR, Ishii T, Syapin PJ, Ginsberg SD, Wilson K,, et al. An essential component in steroid synthesis, the steroidogenic acute regulatory protein, is expressed in discrete regions of the brain. J Neurosci 2002; 22: 10613-20. 37. Hall EA, Ren S, Hylemon PB, Rodriguez-Agudo D, Redford K, Marques D, et al. Detection of the steroidogenic acute regulatory protein, StAR, in human liver cells. Biochim Biophys Acta 2005; 1733: 111-9. 38. Abd-Elaziz M, Moriya T, Akahira J, Suzuki T, Sasano H. StAR and progesterone producing enzymes (3beta-hydroxysteroid dehydrogenase and cholesterol side-chain cleavage cytochromes P450) in human epithelial ovarian carcinoma: immunohistochemical and real-time PCR studies. Cancer Sci 2005; 96: 232-9. 39. Ng RH, Ethirajan S, O’Neill M, Statland BE. Increased activities of creatine kinase and lactate dehydrogenase isoenzymes in a patient with metastatic ovarian tumor. Clin Chem 1987; 33: 1484-5. 40. Zarghami N, Giai M, Yu H, Roagna R, Ponzone R, Katsaros D, Sismondi P, Diamandis EP, et al. Creatine kinase BB isoenzyme levels in tumour cytosols and survival of breast cancer patients. Br J Cancer 1996; 73: 386-90. 41. Zarghami N, Katsaros D, Yu H, Diamandis EP. Prognostic value of creatine kinase BB isoenzyme in epithelial ovarian carcinoma. Can J Oncol 1995; 5: 401-7. 42. Wong KK, Cheng RS, Mok SC. Identification of differentially expressed genes from ovarian cancer cells by MICROMAX cDNA microarray system. Biotechniques 2001; 30: 670-5. 43. Mills GB, Bast RC, Jr., Srivastava S. Future for ovarian cancer screening: novel markers from emerging technologies of transcriptional profiling and proteomics. J Natl Cancer Inst 2001; 93: 1437-9. 44. Stimpfl M, Schmid BC, Obermair A, Tong D, Schiebel I, Gitsch G, et al. Comparison of flow cytometry and RT-PCR for the detection of ovarian cancer cells in peripheral blood. Oncol Res 1999; 11: 367-73. 45. Sapi E, Okpokwasili NI, Rutherford T. Detection of telomerase-positive circulating epithelial cells in ovarian cancer patients. Cancer Detect Prev 2002; 26: 158-67. 46. Saygan-Karamursel B, Dikmen G, Dogan P, Aksu T, Guven S, Ayhan A. Quantitative telomerase activity in malignant, benign and normal gynecological tissues. Eur J Gynaecol Oncol 2005; 26: 83-6. 47. Takano H, Okamoto A, Fukushima K, Ochiai K, Tanaka T. Low specificity of cytokeratin 19 mRNA expression in the peripheral blood cells from patients with ovarian tumors. Oncol Rep 2000; 7: 1023-5.
Copyright: © 2006 Termedia & Banach. 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
© 2024 Termedia Sp. z o.o.
Developed by Bentus.