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Original article
Prognostic significance of the markers IDH1 and YKL40 related to the subventricular zone

Kelvin Manuel Pińa Batista
,
Ivan Fernandez Vega
,
Sayoa Alvarez de Eulate-Beramendi
,
Julio Cesar Gutierrez Morales
,
Almaz Kurbanov
,
Dorisme Asnel
,
Angela Meilan
,
Aurora Astudillo

Folia Neuropathol 2015; 53 (1): 52-59
Online publish date: 2015/03/24
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Introduction

Glioblastoma multiforme (GBM), a highly aggressive brain cancer characterized by uncontrolled proliferation, resistance to cell death, angiogenesis, and vascular edema, remains one of the deadliest types of cancer [2,17,21]. The current standard of care involves aggressive surgery, radiation and chemotherapy, yet provides only a modest survival benefit [16, 27,37].
Based on cancer stem cell theory, and images of GBMs, recently there has been advanced a relevant classification related to the subventricular zone (SVZ) and its survival impact [18,22,24]. Since the SVZ harbors cells with great proliferative potential and the microenvironment within the SVZ is permissive to growth and proliferation, this neurogenic niche is suspected to be a vulnerable site for the origin of subtypes of GBM [13]. Recently, there has been a consensus about the subpopulation of cancer cells with stem cell characteristics, including self-renewal and multipotentiality; these cancer stem cells can propagate tumors in vivo [8,12]. Recent evidence suggests that tumor location plays an important role in prognosis and is likely related to the genetic profile of tumor cells of origin [18,30]. Furthermore, some authors have constructed prognostic models and analyzed probabilistic radiographic atlases of GBM phenotypes [11,13].
The GBM heterogeneity has motivated several studies to evaluate factors that predict prolonged survival for patients with GBM [4,18,20,24,38]. Such heterogeneity could be related, according to some authors, to the stem cell-like characteristics [24]. Lim et al. proposed a classification scheme that divides the GBMs into four groups by the spatial relationship of the contrast-enhancing lesion with the subventricular zone and cortex: type I – tumor in which the contrast-enhancing lesion contacts both the SVZ and the cortex; type II – tumor contacts the SVZ but not the cortex; type III – tumor contacts the cortex but not the SVZ; and type IV – tumor contacts neither the SVZ nor the cortex. Regarding the multifocal and/or multicentric GBMs there are many theories showing a close association with group I given the findings consistent with high migratory and invasiveness of cells, according to Willis’ theory [24,33].
Based on recent studies [39], YKL40, also known as chitinase-like protein 1, is included as a mesenchymal marker and associated with a poor prognosis. The protein is a secreted inflammatory molecule with no chitinolytic activity [15] YKL40 has been postulated as a potential serum marker in glioblastoma [4,19] since it was found to have elevated levels in the serum of patients with GBM. However, the mutation of IDH1 (mIDH1) has been found in the cytoplasm and peroxisomes of 70-80% of secondary GBMs. mIDH1 is a selective marker for secondary glioblastoma supplementing clinical judgment to distinguish it from primary glioblastoma. There are few reports related to the mutated IDH1 expression and its subventricular zone relationship [11]. The aim of our study was to determine the immunohistochemical expression of mIDH1 and YKL40 in relationship to the SVZ of GBMs.

Material and methods

A retrospective study was performed on 204 GBMs operated on at the Neurosurgical Unit of Asturias Hospital, Spain, between December 2005 and September 2011. We divided the GBMs into five groups. The first four groups were selected accordingly to the Lim [24] classification. We then selected multifocal or multicentric presentation of GBMs as a fifth group. Detailed data regarding clinical presentation, imaging features, surgical procedure, pathological analysis, oncological treatment, progression-free survival (PFS), and overall survival (OS) outcome were recorded. The extent of resection was determined by early postoperative MRI (within 48 hours). Subtotal and total resection were defined as those tumors with residual and no residual enhancement, respectively, achieved by comparing pre- and postoperative MRI. Extent of resection was classified as either total (> 95%), subtotal (< 95%) or biopsy by a neuroradiologist blinded to patient outcomes. Patients were informed of the investigational nature of this study and written informed consent was obtained from each patient in accordance with institutional guidelines. Patients with a Karnofsky Performance Scale (KPS) score ≥ 70 and age < 60 were included to receive conventional radiotherapy and chemotherapy after surgical resection: 1.8-2.0 Gy per day, over a period of 6 weeks, for a total dose of 60 Gy and temozolomide therapy at a dose of 75 mg/m2 per day, seven days a week for 42 consecutive days during radiotherapy (as used in the EORTC study by Stupp et al.) [3,23,36].
The pathology was determined by a senior neuropathologist in all instances, and the grading criteria were based on the World Health Organization (WHO) classification system.
All statistical analyses were performed with SPSS Statistics version 20 (IBM) with a significance level of p = 0.05. Fisher’s exact test was used for evaluation of the association between YKL40 and mIDH1 (with positive and negative expression) and covariates. Survival analysis was carried out with the Kaplan-Meier method and a log rank test. For multivariate analysis of OS and PFS, a Cox proportional hazards model was performed using age (< 65 vs. ≥ 65), gender, initial KPS score (< 70 vs. ≥ 70), hemisphere, subventricular relationship, extent of resection, and first line therapy as covariates. All tests were two-sided, and a p value of < 0.05 was considered significant. The confidence intervals were calculated at the 95% level.

Results

The population of our study consisted of a total of 204 patients harboring GBMs. The baseline clinical data are summarized in Table I. Among the patients in the study, the median age was 63 ± 10.86 years. Most patients were male (115). The median initial KPS score was 80. Overall, for surgical resection, 44 patients underwent gross total resection (GTR), 119 patients underwent subtotal resection (STR), and 41 patients underwent biopsy. Although statistically significant (p < 0.05), there was not a greater extent of resection or more radiotherapy combined with chemotherapy, among mIDH1-positive GBMs.
In 94 patients, YKL-positive cells were identified. YKL40 expression was found predominately in the cytoplasm. YKL40 was strongly stained in all positive samples. One hundred and ten were YKL40 negative. In 42 patients the mIDH1 was positive. One hundred sixty-two were IDH1 negative.
The median OS was 34.64 weeks ± 45.5 and the median PFS was 15.35 ± 26.93 weeks. Kaplan-Meier estimates for OS by subventricular relationship are shown in Figures 2 and 3. The median OS (more than 54 weeks) after pathological diagnosis was higher in patients with mIDH1-positive GBMs (55.4%) than in those with YKL40-positive GBMs (23.2%) (p > 0.001 and p > 0.05, respectively). Long-term survival (LTS) was identified in 4 (66.7%) IDH1-positive GBMs. Long-term survival was identified in 1 (16.7%) YKL40-positive GBM (Table II). The median PFS among those with mIDH1-positive GBMs was higher than those with YKL40-positive GBMs (1 and 0, respectively).

Tumor location

All tumors were supratentorial in location. We did not find statistically significant differences between the right and left hemisphere linked to YKL40 and mIDH1 immunoexpression. Of 204 patients, 12 YKL40-positive GBMs and 3 mIDH1-positive GBMs had type I tumors; 16 YKL40-positive GBMs and 2 mIDH1-positive GBMs had type II tumors; 17 YKL40-positive GBMs and 33 mIDH1-positive GBMs had type III tumors; 29 YKL40-positive GBMs and 2 mIDH1-positive GBMs had type IV tumors, and 20 YKL40-positive GBMs and 2 mIDH1-positive GBMs had type V tumors.

Multivariate analysis

A multivariate proportional hazards model analysis, based on the forward stepwise selection technique, was used. The covariates significantly associated with improved OS were: younger age at diagnosis (hazard ratio [HR] = 1.44; 95% CI: 1.03-2.01, p = 0.031), type III and type I GBMs (HR = 0.46; 95% CI: 0.25-0.84, p = 0.013), and chemoradiotherapy (HR = 0.20; 95% CI: 0.12-0.33, p = 0.000) were the most independent factors linked to OS. The results of this model are given in Table III. In regards to PFS, good performance status (KPS) (HR = 0.48; 95% CI: 0.31-0.75, p = 0.001), mIDH1 (HR = 0.60; 95% CI: 0.40-0.90, p = 0.015), and chemoradiotherapy (HR = 0.33; 95% CI: 0.21-0.52, p = 0.000). Significantly more mIDH1- positive GBMs showed a relation with type III (n = 33; 44%) compared to YKL40-positive GBMs (n = 17; 22.7%).

Discussion

Patients diagnosed with GBM have a dismal prognosis [5]. Even though median survival is poor, individual survival is heterogeneous, with some patients surviving for several years [5,9,34]. Age at diagnosis, KPS score, and extent of resection have been the most well-documented predictors of survival. Age has consistently been shown to be one of the most powerful prognostic factors for survival in patients with GBM, with younger patients living much longer than older patients. Furthermore, the poor tolerance of older patients to aggressive toxic systemic chemotherapy often results in either treatment-related complications and/or suboptimal tumor treatment [10,28,31]. In the present study, we found a particularly strong tendency among young adults to harbor mIDH1-positive GBMs. Furthermore, Cox’s regression model showed that younger patients were associated with better OS, consistent with previous published series [2,6,7,26]. Nevertheless, extent of resection remains a topic of debate, particularly for incomplete resections. The most comprehensive work to date on the value of extent of resection suggests that ≥ 98% is necessary to impact survival in patients with GBM [31,40]. In our study the extent of resection was not a prognostic factor in the Cox’s regression model and in the characteristics linked to YKL40 and mIDH1 expression, judging by postoperative enhancing MRI rather than by the neurosurgeon himself may be the reason.
In the present study we found that YKL40-positive immunoexpression, reflecting the mesenchymal GBM subgroup [9,15,39], was not significant in the OS and PFS Cox’s proportional hazards model. Interestingly, our data showed more YKL40-positive expression among subventricular contacting GBMs than mIDH1-positive GBMs. The expression of mIDH1 is associated with prolonged OS and PFS in a Cox’s regression model, consistent with other population-based studies of GBMs [14,29,32,35,41]. The gross total resection and the radiotherapy combined with chemotherapy associations were not of prognostic value for either OS or PFS.
Recent evidence suggests that GBMs with both SVZ and cortical involvement and SVZ contact alone result in shorter PFS and OS [13,18]. Interestingly, we found significantly more type III GBMs than the remaining groups among mIDH1-positive GBMs. mIDH1 positivity was more frequent in secondary GBMs than in primary GBMs (37 and 5, respectively). Of note, among YKL40-positive GBMs there were more type IV and V than type III GBMs. The main reasons for a less favorable outcome in GBM patients with SVZ involvement are not yet completely understood. Type IV and V were particularly linked to YKL40-positive GBMs. In our series we identified 34 (16.7%) type V GBMs. In the literature, the incidence of multiple lesions at the time of diagnosis ranged anywhere from 0.5 to 20% [14].
To the best of our knowledge, the immunoexpression of YKL40 has never been assessed in the GBMs associated with the subventricular zone. Since 2002 there have been published fewer papers addressing YKL40 and its expression in GBM, even though it seems related to radiotherapy resistance [15] and mesenchymal subtype, and inversely associated with EGFR. Additional studies concluded that patients with tumors adjacent to the SVZ were more likely to be multifocal at diagnosis and to have noncontiguous tumor recurrences [24]. YKL40 positivity contributes to progression of GBM through invasion, anchorage-independent growth and drug resistance [23].

Conclusions

According to the findings in the present study and the review of the literature, GBM is a highly aggressive tumor. Despite modest improvement in the OS of patients with GBM in the last decade, the outcome remains poor. Therefore, the need for more effective novel treatments in this neoplasm is urgently welcomed.
We demonstrate for the first time that YKL40 GBMs are significantly linked to SVZ types IV and V (p < 0.0001). However, it will be necessary to gain more information about its mechanisms of action in order to move forward with the use of YKL40 for potential application in glioma therapy. Our results show the diversity among GBMs related to the SVZ, which should be considered in the design of future targeted therapies. Age less than 65 years, mIDH1 positivity, type III GBMs, and temozolomide therapy are factors that independently predicted a prolonged OS. These results, however, may be limited by an inherent bias in patient selection, which may favor patients with more superficial tumors. We attempted to minimize the limitations by using strict inclusion criteria and Cox’s proportional hazard model analysis. Therefore, despite this potential source of bias, these findings may help to guide treatment paradigms, prognosticate survival, and provide more information for GBM patients through the identification of these prognostic factors.

Disclosure

Authors report no conflict of interest.

References

1. Agnihotri S, Burrell KE, Wolf A, Jalali S, Hawkins C, Rutka JT, Zadeh G. Glioblastoma: a brief review of history, molecular genetics, animal models and novel therapeutic strategies. Arch Immunol Ther Exp 2013; 61: 25-41.
2. Batchelor TT, Betensky RA, Esposito JM, Pham L-DD, Dorfman MV, Piscatelli N, Jhung S, Rhee D, Louis DN. Age-dependent prognostic effects of genetic alterations in glioblastoma. Clin Cancer Res 2004; 10: 228-233.
3. Behm T, Horowski A, Schneider S, Bock HC, Mielke D, Rohde V, Stockhammer F. Concomitant and adjuvant temozolomide of newly diagnosed glioblastoma in elderly patients. Clin Neurol Neurosurg 2013; 115: 2142-2146.
4. Bernardi D, Padoan A, Ballin A, Sartori M, Manara R, Scienza R, et al. Serum YKL-40 following resection for cerebral glioblastoma. J Neurooncol 2011; 107: 299-305.
5. Bleeker FE, Molenaar RJ, Leenstra S. Recent advances in the molecular understanding of glioblastoma. J Neurooncol 2012; 108: 11-27.
6. Bozdag S, Li A, Riddick G, Kotliarov Y, Baysan M, Iwamoto FM, Cam MC, Kotliarova S, Fine HA. Age-specific signatures of Glioblastoma at the genomic, genetic, and epigenetic levels. PLoS One 2013; 8: e62982.
7. Burger PC, Green SB. Patient age, histologic features, and length of survival in patients with glioblastoma multiforme. Cancer 1987; 59: 1617-1625.
8. Chaichana KL, Martinez-Gutierrez JC, De la Garza-Ramos R, Weingart JD, Olivi A, Gallia GL, Lim M, Brem H, Quinones-Hinojosa A. Factors associated with survival for patients with glioblastoma with poor pre-operative functional status. J Clin Neurosci 2013; 20: 818-823.
9. Colman H, Zhang L, Sulman EP, Mcdonald JM, Shooshtari L, Rivera A, Popoff S, Nutt CL, Louis DN, Cairncross JG, Gilbert MR, Phillips HS, Mehta MP, Chakravarti A, Pelloski CE, Bhat K, Feuerstein BG, Jenkins RB, Aldape K. A multigene predictor of outcome in glioblastoma. Neurooncol 2010; 12: 49-57.
10. Devaux B, O Fallon JR, Kelly PJ. Resection, biopsy, and survival in malignant glial neoplasms. J neurosurg 1993; 78: 767-775.
11. Ellingson BM, Lai A, Harris RJ, Selfridge J, Yong WH, Das K, Pope WB, Nghiemphu PL, Vinters HV, Liau LM, Mischel PS, Cloughsy TF. Probabilistic radiographic atlas of glioblastoma phenotypes. Am J Neuroradiol 2013; 34: 533-540.
12. Galli R, Binda E, Orfanelli U, Cipelletti B, Gritti A, De Vitis S, Fiocco R, Dimeco F, Vescovi A. Isolation and characterization of tumorigenic, stem-like neural precursors from human glioblastoma. Cancer Res 2004; 64: 7011-7021.
13. Haskins WE, Zablotsky BL, Foret MR, Ihrie RA, Alvarez-Buylla A, Eisenman RN, Berger MS, Lin CH. Molecular characteristics in MRI-classified group 1 glioblastoma multiforme. Front Oncol 2013; 3: e183.
14. Hassaneen W, Levine NB, Suki D, Salaskar AL, de Moura Lima A, McCutcheon IE, Prabhu SS, Lang FF, DeMonte F, Rao G, Weinberg JS, Wildrick DM, Aldape KD, Sawaya R. Multiple craniotomies in the management of multifocal and multicentric glioblastoma. J Neurosurg 2011; 114: 576-584.
15. Horbinski C, Wang G, Wiley CA. YKL-40 is directly produced by tumor cells and is inversely linked to EGFR in glioblastomas. Int J Clin Exp Pathol 2010; 3: 226-237.
16. Iacob G, Dinca EB. Current data and strategy in glioblastoma multiforme. J Med Life 2009; 2: 386-393.
17. Iwamoto FM, Hottinger AF, Karimi S, Riedel E, Dantis J, Jahdi M, Panageas KS, Lassman AB, Abrey LE, Fleisher M, DeAngelis LM, Holland EC, Hormigo A. Serum YKL-40 is a marker of prognosis and disease status in high-grade gliomas. Neurooncol 2011; 13: 1244-1251.
18. Jafri NF, Clarke JL, Weinberg V, Barani IJ, Cha S. Relationship of glioblatoma multiforme to the subventricular zone is associated with survival. Neurooncol 2013; 15: 91-96.
19. Johansen JS, Cintin C, Jorgensen M, Kamby C, Price PA. Serum YKL-40: a new potentialmarker of prognosis and location of metastases of patients with recurrent breast cancer. Eur J Cancer 1995; 31: 1437-1442.
20. Kappadakunnel M, Eskin A, Dong J, Nelson SF, Mischel PS, Liau LM, Ngheimphu P, Lai A, Cloughesy TF, Goldin J, Pope WB. Stem cell associated gene expression in glioblastoma multiforme: relationship to survival and the subventricular zone. J Neurooncology 2009; 96: 359-367.
21. Karsy M, Gelbman M, Paarth S, Balumbu O, Moy F, Arslan E. Established and emerging variants of glioblastoma multiforme: review of morphological and molecular features. Folia Neuropathol 2012; 50: 301-321.
22. Kimura M, Lee Y, Miller R, Castillo M. Glioblastoma multiforme: relationship to subventricular zone and recurrence. Neuroradiol J 2013; 26: 542-547.
23. Ku BM, Lee YK, Ryu J, Jeong JY, Choi J, Eun KM, Shin HY, Kim DG, Hwang EM, Yoo JC, Park JY, Roh GS, Kim HJ, Cho GJ, Choi WS, Paek SH, Kang SS. CHI3L1 (YKL-40) is expressed in human gliomas and regulates the invasion, growth and survival of glioma cells. Int J Cancer 2011; 128: 1316-1326.
24. Lim DA, Cha S, Mayo MC, Chen MH, Keles E, Vandenberg S, Berger MS. Relationship of glioblastoma multiforme to neural stem cell regions predicts invasive and multifocal tumor phenotype. Neurooncol 2007; 9: 424-429.
25. Maher EA, Furnari FB, Bachoo RM, Rowitch DH, Louis DN, Cavanee WK, DePinho RA. Malignant glioma: genetics and biology of a grave matter. Genes Dev 2001; 15: 1311-1333.
26. Michaelsen SR, Christensen IJ, Grunnet K, Stockhausen MT, Broholm H, Kosteljanetz M, Poulsen HS. Clinical variables serve as prognostic factors in a model for survival from glioblastoma multiforme: an observational study of a cohort of consecutive non-selected patients from a single institution. BMC Cancer 2013; 13: e402.
27. Olsen JJ, Nayak L, Ormond R, Wen PY, Kalkanis S. The role of cytotoxic chemotherapy in the management of progressive glioblastoma. J Neurooncol 2014; 118: 501-555.
28. Osorio JA, Aghi MK. Optimizing glioblastoma resection: intraoperative mapping and beyond. CNS Oncol 2014; 3: 359-366.
29. Popov S, Jury A, Laxton R, Doey L, Kandasamy N, Al-Sarraj S, Jürgensmeier JM, Jones C. IDH1-Associated. Primary glioblastoma in young adults displays differential patterns of tumour and vascular morphology. PLoS One 2013; 8: e56328.
30. Sanai N, Alvarez-buylla A, Berger MS. Neural stem cells and the origin of gliomas. N Engl J Med 2005; 353: 811-822.
31. Sanai N, Polley M-Y, McDermott MW, Parsa AT, Berger MS. An extent of resection threshold for newly diagnosed glioblastomas. J Neurosurg 2011; 115: 3-8.
32. Sang Yun H, So Young K, In-Gu D, Yeon-Lim S. Glioblastoma with oligodendroglial component represents a subgroup of glioblastoma with high prevalence of IDH1 mutation and association with younger age. J Neurooncol 2013; 112: 439-448.
33. Shakur SF, Bit-Ivan E, Watkin WG, Merrell RT, Farhat HI. Multifocal and multicentric glioblastoma with leptomeningeal gliomatosis: a case report and review of the literature. Case Rep Med 2013; 2013: 132679.
34. Smoll NR, Schaller K, Gautschi OP. Long-term survival in patients with glioblastoma multiforme (GBM). J Clin Neurosci 2013; 20: 670-675.
35. SongTao Q, Lei Y, Si G, YanQing D, HuiXia H, XueLin Z, LanXiao W, Fei Y. IDH mutations predict longer survival and response to temozolomide in secondary glioblastoma. Cancer Sci 2011; 103: 269-273.
36. Stupp R, Mason WP, van den Bent MJ, Weller M, Fisher B, Taphoorn MJ, Belanger K, Brandes AA, Marosi C, Bogdahn U, Curschmann J, Janzer RC, Ludwin SK, Gorlia T, Allgeier A, Lacombe D, Cairncross JG, Eisenhauer E, Mirimanoff RO; European Organisation for Research and Treatment of Cancer Brain Tumor and Radiotherapy Groups; National Cancer Institute of Canada Clinical Trials Group. Radiotherapy plus Concomitant and Adjuvant Temozolomide for Glioblastoma. N Engl J Med 2005; 352: 987-996.
37. Stupp R. ESMO minimum clinical recommendations for diagnosis, treatment and follow-up of malignant glioma. Ann Oncol 2005; 16 (Suppl 1): i64-65.
38. Tabouret E, Barrie M, Thiebaut A, Matta M, Boucard C, Autran D, Loundou A, Chinot O. Limited impact of prognostic factors in patients with recurrent glioblastoma multiforme treated with a bevacizumab-based regimen. J Neurooncol 2013; 114: 191-198.
39. Verhaak RG, Hoadley KA, Purdom E, Wang V, Qi Y, Wilkerson MD, Miller CR, Ding L, Golub T, Mesirov JP, Alexe G, Lawrence M, O´Kelly M, Tamayo P, Weir BA, Gabriel S, Winckler W, Gupta S, Jakkula L, Feiler HS, Hodgson JG, James CD, Sarkaria JN, Brennan C, Kahn A, Spellman PT, Wilson RK, Speed TP, Gray JW, Meyerson M, Getz G, Perou CM, Hayes DN. Integrated genomic analysis identifies clinically relevant subtypes of glioblastoma characterized by abnormalities in PDGFRA, IDH1, EGFR, and NF1. Cancer Cell 2010; 17: 98-110.
40. Woodworth GF, Garzon-Muvdi T, Ye X, Blakeley JO, Weingart JD, Burger PC. Histopathological correlates with survival in reoperated glioblastomas. J Neurooncol 2013; 113: 485-493.
41. Zou P, Xu H, Chen P, Yan Q, Zhao L, Zhao P, Gu A. IDH1/IDH2 Mutations define the prognosis and molecular profiles of patients with gliomas: A meta-analysis. PLoS One 2013; 8: e68782.
Copyright: © 2015 Mossakowski Medical Research Centre Polish Academy of Sciences and the Polish Association of Neuropathologists. 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.
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