eISSN: 1509-572x
ISSN: 1641-4640
Folia Neuropathologica
Current issue Archive Manuscripts accepted About the journal Special Issues Editorial board Reviewers Abstracting and indexing Subscription Contact Instructions for authors Ethical standards and procedures
Editorial System
Submit your Manuscript
SCImago Journal & Country Rank
1/2016
vol. 54
 
Share:
Share:
Original paper

Analysis of Olig2 and YKL-40 expression: a clinicopathological/immunohistochemical study for the distinction between subventricular zone II and III glioblastomas

Kelvin Manuel Piña Batista
,
Bruno Augusto Lourenco Costa
,
Isabel Cuervo-Arango Herreros
,
Ivan Fernandez Vega
,
Julio Cesar Gutierrez Morales
,
Aitana Vallina Alvarez
,
Pablo Isidro Marron
,
Ángela Meilán
,
Aurora Astudillo
,
Kenia Yoelvi Alvarez

Folia Neuropathol 2016; 54 (1): 31-39
Online publish date: 2016/03/31
Article file
- analysis.pdf  [0.26 MB]
Get citation
 
PlumX metrics:
 

Introduction

Glioblastoma (GB) is the most common primary brain tumor in the adults. Median survival of GB patients treated with aggressive multimodal therapy, including total resection, combined radiation and chemotherapy, and adjuvant chemotherapy is about 12 months [9,18,24,25]. Glioblastoma is actually considered a heterogeneous and dynamic disease [13,17,21]. Recent studies demonstrate that GB originates either from astrocytes that have accumulated mutations and de-differentiated or from neural stem cells within the subventricular zone (SVZ) in close contact with the vasculature. In animal models, those neural stem cells may play a role in the gliomagenesis, recurrence, and resistance to therapies [17,28]. Probably, survival may be strongly affected by the tumor’s relationship to the SVZ. Based on the MRI spatial relationship of the GB, Lim et al. [21] distinguish 4 types: type I, tumor contacting the SVZ and infiltrating cortex; type II, tumor contacting the SVZ only; type III, tumor involving the cortex but not involving the SVZ, and type IV, tumors spare both the cortex and the SVZ.
The precise origin of glioma stem cells (GSCs) is still unclear. Recent research efforts hypothesize that gliomagenesis occurs in perivascular niches with highly invasive peripheral proliferating zones [6,12,29]. Several studies report that Olig2 expression is limited in GSCs [7,12,22] and is probably being related to the SVZ type II as a proliferation regulator and glioma progenitor cell marker. Olig2 (a basic helix-loop-helix transcription factor) is expressed in the postnatal SVZ and plays a critical role in the lineage specification of progenitor cells into neurons and oligodendrocytes [20]. However, the literature on Olig2 and its association with glioblastoma prognosis is ambivalent [1,11,12,22]. Recent reports have found associations between glioblastoma and neural stem cells expressing Olig2 [8,12,20,35]. Therefore, a significant amount of the ongoing GB research is focused on better understanding how cells expressing Olig2 contribute to the gliomagenesis and therapeutic targets.
YKL-40 (also known as CHI3LI), a member of mammalian chitinase-like protein, is a growth factor for connective tissue cells that (although its function is not well defined) may play a role in the migration of endothelial cells, inflammation and tissue remodeling. It is also overexpressed in glioblastoma compared to anaplastic gliomas and low-grade gliomas [26,30,36].
The localization of YKL-40 expression related to the SVZ remains unclear. Given that YKL-40 immunoexpression is associated with poor prognosis and Olig2 is linked to the neural stem/progenitor cells, we investigated the clinical/prognostic significance of YKL-40 and Olig2 expression related to SVZ type II/III GBs.

Material and methods

Patients and samples

A retrospective study was performed on 152 patients harboring GBs in the SVZ type II/III treated by subtotal resection between 2006 and 2010. Paraffin-embedded samples were obtained from the Biobank of Asturias, in Central of Asturias University Hospital, Spain. For each case, the hematoxylin-eosin sections were reviewed and all cases were classified according to the World Health Organization (WHO) classification system as glioblastoma multiforme by a senior neuropathologist. Detailed data regarding clinical presentation, pathological analysis, progression-free survival, and overall survival outcome were recorded. Tumors were classified as limited to the cortex or type II (77 GBs) or limited to the SVZ or type III (75 GBs). Both, YKL-40 and Olig2 expressions were investigated by immunohistochemistry in all of the aforementioned cases. All samples used in this study were obtained with the approval of the Committee for Ethical Review Board of Central of Asturias University Hospital.
The extent of resection was determined on the basis of MRI results (within 48 hours after surgery). Subtotal and total resection were defined as those tumors with residual and no residual enhancement, respectively, achieved by comparing pre- and postoperative MRI. The extent of resection was classified as total (> 95%), subtotal (< 95%) or biopsy by a neuroradiologist blinded to patient outcomes. 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.) [19,31,33].

Immunohistochemistry

Monoclonal antibodies for YKL-40 (ab86428; Abcam, Cambridge, UK; dilution 1 : 500), and polyclonal anti-Olig2 antibody (ab9610; EDM Millipore, Massachusetts, USA; dilution 1 : 500) were used. Five-micrometer consecutive sections were cut from the paraffin-embedded samples. Each tissue section was deparaffinized and rehydrated with graded ethanol. Antigen retrieval was accomplished by boiling the sections for 15 minutes in 10 mmol/l EDTA, pH 6.0. Endogenous peroxidase activity was blocked with a 3% hydrogen peroxide for 10 minutes. Then, slides were incubated overnight at 4ºC with respective primary antibodies. Visualization was performed using DAB (3,3’-diaminobenzidine). Tissue sections were counterstained with hematoxylin, dehydrated, and mounted. An oligodendroglioma and hepatocellular carcinoma with immunoreactivity was used for positive control (Olig2 and YKL-40, respectively). As a negative control the primary antibodies were omitted.
Immunoreactivity for YKL-40 was evaluated by a three-tiered system (0 – negative; 1 – moderate/patchy staining in tumor cell; 3 – strongly positive) [26]. Staining for Olig2 was scored only in cells as positive (1), and negative or weak positive (0). The authors did the scoring independently. To obtain more accurate results, 2 independent observers evaluated all immunostaining experiments.

Statistical analysis

All statistical analyses were performed with SPSS Statistics version 20 (IBM) with a significance level of 5% (p ≤ 0.05). The 2 test and the Fisher’s exact test were used for the evaluation of the association between Olig2 and YKL-40 (positive vs. negative immunoexpression) and covariates. Karnofsky (KPS) from 3 months was included for analyses because at this time used to occur the most significant and lasting change in patient clinical status. Overall survival (OS) was determined from the date of diagnosis to the date of death. Progression-free survival (PFS) was determined from the date of diagnosis to the date of relapse. Kaplan-Meier method was used to investigate Olig2 and YKL-40 expression as univariate in prediction of the patient’s survival related to SVZ. Multivariate survival analyses were performed by a stepwise Cox proportional hazards model used for univariate and multivariate analyses of PFS and OS.

Results

Patient demographics are presented in Table I. Expressions of Olig2 and YKL-40 in 152 GBs were investigated by IHC. Olig2 expressions were successfully detected in 12 (15.58%) of 77 SVZ type II GBs and 16 (21.3%) of 75 SVZ type III GBs, respectively. YKL-40 expression was observed in 45 (58.4%) of 77 SVZ type II GBs and in 17 (22.6%) of 75 SVZ type III GBs, respectively. Positive expression of YKL-40 was found in the cytoplasm of GB tumor cells (Fig. 1). Olig2+ GB cells showed strong nuclear immunoreactivity. For better understanding of the analytical results, YKL-40 expressions were classified as positive (1+, 2+) or negative (0).

Relationship between the immunoexpression of Olig2 and YKL-40 and clinico-pathological findings

The results of the pathologic findings are shown in Table II. Expression of Olig2 was not associated with the patient’s age (≤ 65 years old versus > 65 years old), gender, Karnofsky at diagnosis (KPS at Dx), progression-free survival (PFS), overall survival (OS), and GB type. However, Olig 2 was associated with KPS at 3 months (p = 0.035). YKL-40 did not (p > 0.05) correlate with gender, and KPS at diagnosis. Interestingly, YKL-40 was significantly associated with age, KPS at 3 months, PFS, OS, and GB type. Kaplan-Meier analysis showed that YKL-40 (CHI3L1) expression was significantly different from Olig2 expression (p > 0.05) (Figs. 2 and 3).

Univariate and multivariate analysis of prognostic variables

To identify and evaluate the variables with potential prognostic significance in patients with GB, univariate and multivariate analysis using Kaplan-Meier and Cox proportional hazard model was performed. In a univariate proportional hazards regression analysis, the factors associated with survival were: age, KPS at 3 months, YKL-40 (CHI3L1), and Olig2. In addition, univariate analysis confirmed that neither the gender (p = 0.13) nor Olig2 immunoexpression (p = 0.86) affected OS.
We evaluated the potential prognostic factors following the Cox proportional hazards models using forward stepwise multivariate selection analysis (Table III). The variables significantly associated with OS were: PFS < 54 weeks (HR: 5.86; CI: 3.02-11.33; p = 0.00); radiotherapy (HR: 0.34; CI: 0.18-0.60; p = 0.00); radio- and chemotherapy (HR: 0.05; CI: 0.03-0.10; p = 0.0), and YKL-40+ GBs (HR: 1.61; CI: 1.28-2.31; p = 0.01). However, Olig2+ GBs were not included in multivariate analysis.

Discussion

Although the SVZ has been recognized for many years, its neurogenesis and gliomagenesis remains unclear. Subventricular zone may be a source of tumors with higher proliferative and invasive capacities [5]. Recent research efforts in neuro-oncology are focused in targeting the tumorigenesis theory and to find signal transduction pathways that influence the GB development and change its dismal prognosis, given that surgery and adjuvant chemotherapy with radiotherapy are insufficient due to a diffuse infiltration by tumor tissue into the brain [4,12,37]. Therefore, identifying molecular targets that could provide prognostic new data is needed and would be helpful for its therapy.
Olig2+ GBs are not significantly expressed in GB type II and III, against predictive and critical functions for Olig2 [32,34]. Under the stem cell hypothesis, Olig2 fulfills criteria of a lineage-restricted competence factor for gliogenesis [8,15] that is necessary for the development of neural progenitors and progeny cells in the CNS [12]. Like others, [22] we have suggested that Olig2 expression may be downregulated in mature astrocyte.
YKL-40 is a potent angiogenic factor that was recently identified to be one of the most expressed proteins in GB when compared to low-grade glioma and normal brain. YKL-40 protein expression was proposed as a potential serum marker for GB [10,16,26]. High YKL-40 expression in GB has been correlated with a short OS and a poor response to radiotherapy [14,16]. We found that GBs contacting the SVZ trended with shorter OS, although it is unclear if tumors contacting the SVZ have more aggressive behavior, allowing tumor stem cells and their progeny to rapidly proliferate and migrate. The main reasons for a less favorable outcome in GB patients with SVZ involvement are not yet completely understood. Interestingly, we have found a significantly greater YKL-40 expression among the subventricular zone contacting GBs than Olig2+ GBs. Previous work [27] has determined that YKL-40 was particularly linked to SVZ type IV and V. One of the limitations of this study was the small sample size of SVZ type II patients. According to our results, there was also a trend toward a worse OS among SVZ type II GBs when compared with SVZ type III GBs. Univariate, multivariate, and Kaplan-Meier analyses demonstrated that expression of YKL-40 was a significant negative indicator of the behavior of GB.
The present study was performed on a heterogeneous population of GB patients, all of whom underwent total resection, subtotal resection or biopsy followed by the same adjuvant therapy (chemotherapy and radiotherapy). To date, the extent of resection has been an accepted prognostic factor [3,23,33]. Nevertheless, although it is well accepted that tumor resection may improve the symptoms we have found impact on OS only in the univariate analysis. However, extensive resection combined with adjuvant therapy could also explain the advantageous impact in terms of OS in a multivariate analysis.
The difference in survival among patients with GB has been seen to significantly depend on age, KPS at 3 months, extent of resection, and immunoexpression of YKL-40. We have found that there was a significant correlation between the expression of Olig2 and KPS at 3 months. Age at diagnosis and preoperative KPS score have been the most recognized predictors of OS [4]. KPS score at 3 months from diagnosis was a prognostic factor more valuable than KPS score at diagnosis, which may be attributed to the influence of surgery. Most of YKL-40+ GBs had a PFS of less than 54 weeks. These data differ from the previous report [2] that found no prognostic association between YKL-40 expression and PFS. However, such disagreement may be because our study has a larger sample size and different age groups of patients.

Conclusions

Up to date, significant progress has been made in the understanding of GB regarding its topographical molecular expressions. The presence of GBs, which express prognostic markers in relationship to the subventricular zone, is of practical as well as theoretical interest. In fact, this information may be the road by which the most effective therapy can be focused. Our results demonstrated that dismal prognosis of GBs is significantly correlated to YKL-40 expression and linked to SVZ relationship. As YKL-40 has been found in serum and in brain tumor tissue, it has a potential as a therapeutic and prognosis marker for GB. Current insights will ultimately lead to a more individualized therapy for GB patients.
Our study suffers from the same limitations as other retrospective studies, with a biased selection of SVZ topographical locations, which influences the results. Therefore, further controlled studies are needed to validate our results in a prospective study with a greater number of GBs patients.

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 briefreview of history, molecular genetics, animal models and novel therapeuticstrategies. Arch Immunol Ther Exp 2013; 61: 25-41.
2. Antonelli M, Buttarelli FR, Arcella A, Nobusawa S, Donofrio V, Oghaki H, Giangaspero F. Prognostic significance of histological grading, p53 status, YKL-40 expression, and IDH1 mutations in pediatrichigh-grade gliomas. J Neurooncol 2010; 99: 209-215.
3. Bloch O, Han SJ, Cha S, Sun M, Aghi MK, McDermott MW, Berger MS, Parsa A. Impact of extent of resection for recurrent glioblastoma on overall survival. J Neurosurg 2012; 117: 1032-1038.
4. 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.
5. Chaichana KL, Pendleton C, Chambless L, Camara-Quintana J, Nathan JK, Hassam-Malani L, Li G, Harsh IV GR, Thompson RC, Lim M, Quinones-Hinojosa A. Multi-institutional validation of a preoperative scoring system which predicts survival for patients with glioblastom. J Clin Neurosci 2013; 20: 1422-1426.
6. Chen J, Li Y, Yu TS, McKay RM, Burns DK, Kernie SG, Parada LF. A restricted cell population propagates glioblastoma growth after chemotherapy. Nature 2012; 488: 522-526.
7. Cheng L, Bao S, Rich JN. Potential therapeutic implications of cancer stem cells in glioblastoma. Biochem Pharmacol 2010; 80: 654-665.
8. Colman H, Zhang L, Sulman EP, McDonald M, Shooshtari NL, 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.
9. Dahlrot RH, Kristensen BW, Hjelmborg J, Herrstedt J, Hansen S. A population-basedstudy of high-grade gliomas and mutated isocitrate dehydrogenase 1. Int J Clin Exp Pathol 2013; 6: 31-40.
10. Francescone RA, Scully S, Faibish M, Taylor SL, Oh D, Moral L, Yan W, Bentley B, Shao R. Role of YKL-40 in the angiogenesis, radioresistance, and progression of glioblastoma. J Biol Chem 2011; 286: 15332-15343.
11. Georgieva L, Moskvina V, Peirce T, Norton N, Bray NJ, Jones L, Holmans P, MacGregor S, Zammit S, Wilkinson J, Williams H, Nikolov I, Williams N, Ivanov D, Davis KL, Haroutunian V, Buxbaum JD, Craddock N, Kirov G, Owen MJ, O’Donovan MC. Convergent evidence that oligodendrocyte lineage transcription factor 2 (OLIG2) and interacting genes influence susceptibility to schizophrenia. Proc Natl Acad Sci USA 2006; 103: 12469-12474.
12. Ghazi SO, Stark M, Zhao Z, Mobley BC, Munden A, Hover L, Abel TW. Cell of Origin Determines Tumor Phenotype in anOncogenic Ras/p53 Knockout Transgenic Model of High-Grade Glioma. J Neuropathol Exp Neurol 2012; 71: 729-740.
13. Haskins WE, Zablotsky BL, Foret MR. Molecular characteristics in MRI-classifiedgroup 1 glioblastoma multiforme. Front Oncol 2013; 3: 1-8.
14. 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.
15. Ihrie RA, Alvarez-Buylla A. Lake-front property: a unique germinal niche bythe lateral ventricles of the adult brain. Neuron 2011; 70: 674-686.
16. 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.
17. 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.
18. Karsy M, Gelbman M, Paarth S, Balumbu O, Moy F, Arslan E. Established and emergingvariants of glioblastoma multiforme: review of morphological and molecular features. Folia Neuropathol 2012; 50: 301-321.
19. 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.
20. Ligon KL, Huillard E, Mehta S, Kesari S, Liu H, Alberta JA, Bachoo RM, Kane M, Louis DN, DePinho RA, Anderson DJ, Stiles CD, Rowitch DH. Olig2-regulated lineage-restricted pathway controls replication competence in neural stem cells and malignant glioma. Neuron 2007; 53: 503-517.
21. Lim DA, Cha S, Mayo MC, Chen M, Keles E, VandenBerg S, Berger M. Relationship of glioblastoma multiforme to neural stem cell regions predicts invasive and multifocal tumor phenotype. Neurooncol 2007; 9: 424-429.
22. Marshall CAG, Novitch BG, Goldman JE. Olig2 Directs Astrocyte and Oligodendrocyte Formation in Postnatal Subventricular Zone Cells. J Neurosci 2005; 25: 7289-7298.
23. McGirt MJ, Chaichana KL, Attenello FJ, Weingart JD, Than K, Burger PC, Olivi A, Brem H, Quinones-Hinojosa A. Extent of surgical resection is independently associated with survival in patients with hemispheric infiltrating low-grade gliomas. Neurosurgery 2008; 63: 700-708.
24. Michaelsen SR, Christensen IJ, Grunnet K, Stockhausen M, Broholm H, Kostaljanetz 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: 1-11
25. Park CK, Kim JH, Nam DH, Kim CY, Chung SB, Kim YH, Seol HJ, Kim TM, Choi SH, Lee SH, Heo DS, Kim IH, Kim DG, Jung HW. A practical scoring system to determine whether to proceed with surgical resection in recurrent glioblastoma. Neurooncol 2013; 15: 1096-1101.
26. Pelloski CE,Mahajan A, Maor M, Chang EL, Woo S, Gilbert M, Colman H, Yang H, Ledoux A, Blair H, Passe S, Jenkins RB, Aldape KD. YKL-40 Expression is Associated with Poorer Response to Radiation and Shorter OverallSurvival in Glioblastoma. Clin Cancer Res 2005; 11: 3326-3334.
27. Piña-Batista KM, Fernandez-Vega I, deEulate-Beramendi SA, Gutierrez-Morales JC, Kurbanov A, Asnel D, Meilán A, Astudillo A. Prognostic significance of the markers IDH1 and YKL40 related to the subventricular zone. Folia Neuropathol 2015; 53: 52-59.
28. Reya T, Morrison SJ, Clarke MF, Weissman IL. Stem cells, cancer, and cancer stem cells. Nature 2001; 414: 105-111.
29. Schiffer D, Mellai M, Annovazzi L, Caldera V, Piazzi A, Denysenko T, Melcarne A. Stem cell niches in glioblastoma: a neuropathological view. Biomed Res Int 2014: 2014: 1-7.
30. Shao R, Francescone RA, Ngernyuang N, Bentley B, Taylor SL, Moral L, Yan W. Anti-YKL-40 antibody and ionizing irradiation synergistically inhibit tumor vascularization and malignancy in glioblastoma. Carcinogenesis 2014; 35: 373-382.
31. 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 Trials Group. Radiotherapy plus concomitant and adjuvant temozolomide for glioblastoma. N Engl J Med 2005; 352: 987-996.
32. Tabu K, Ohba Y, Suzuki T, Makino Y, Kimura T, Ohnishi A, Sakai M, Watanabe T, Tanaka S, Sawa H. Oligodendrocyte lineage transcription factor 2 inhibits the motility of a human glial tumor cell line by activating RhoA. Molecular Cancer Res 2007; 5: 1099-1109.
33. Urbanska K, Sokolowska J, Szmidt M, Sysa P. Glioblastoma multiforme- an overview. Contemp Oncol 2014; 18: 307-312.
34. Van Meir EG, Hadjipanayis CG, Norden AD, Shu HK, Wen PY, Olson JJ. Exciting new advances in neuro-oncology: the avenue to a cure for malignant glioma. Cancer J Clin 2010; 60: 166-193.
35. Yip S, Butterfield YS, Morozova O, Chittaranjan S, Blough MD, An J, Birol I, Chesnelong C, Chiu R, Chuah E, Corbett R, Docking R, Firme M, Hirst M, Jackman S, Karsan A, Li H, Louis DN, Maslova A, Moore R, Moradian A, Mungull KL, Perizzolo M, Qian J, Roldan G, Smith EE, Tamura-Wells J, Thiessen N, Varhol R, Weiss S, Wu W, Young S, Zhao Y, Mungall AJ, Jones SJ, Morin GB, Chan JA, Caincross JG, Marra MA. Concurrent CIC mutations, IDH mutations and 1p/19q loss distinguish oligodendrogliomas from other cancers. J Pathol 2012; 226: 7-16.
36. Zhang W, Kawanishi M, Miyake K, Kagawa M, Kawai N, Murao K, Nishiyama A, Fei Z, Zhang X, Tamiya T. Associationbetween YKL-40 and adult primary astrocytoma. Cancer 2010; 116: 2688-2697.
37. Zhu VF, Yang J, Lebrun DG, Li M. Understanding the role of cytokines in Glioblastoma Multiforme pathogenesis. Cancer Lett 2012; 316: 139-150.
Copyright: © 2016 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.
Quick links
© 2024 Termedia Sp. z o.o.
Developed by Bentus.