Literature DB >> 31417840

Clinical Significance of Molecular Diagnosis of Pilocytic Astrocytoma: A Case Report.

Takahiro Ono1, Masataka Takahashi1, Junya Hatakeyama1, Masaya Oda1, Felix Sahm2, Hiroshi Nanjo3, Andreas von Deimling4, Hiroaki Shimizu1.   

Abstract

This paper reports on a case of pilocytic astrocytoma (PA), for which a diagnosis by conventional pathological diagnosis was difficult but an accurate diagnosis was possible by a new molecular diagnostic method. A 13-year-old girl whose tumor developed by a headache that gradually worsened, and a well-demarcated T2-hyperintense lesion was found in the left cerebellum by a magnetic resonance imaging while the apparent diffusion coefficient value was also high. While the finding was a typical PA, histological features of PA were not found in the surgical specimen. An initial diagnosis was anaplastic astrocytoma (AA), and the final diagnosis through a central review was diffuse astrocytoma (DA). On the other hand, using MethylationEPIC (850 K) array, an analysis by a DNA methylation-based tumor classifier tool as reported by Capper et al. showed that this case belonged to a methylation class of PA. The copy number profile calculated from the methylation array data showed hints of BRAF/KIAA1549 fusion and no other chromosomal alterations, which also supported the molecular diagnosis. The patient was treated with local radiotherapy concomitant with temozolomide based on the initial pathological diagnosis during the consultation, but maintenance temozolomide therapy was not done according to the final molecular diagnosis. The tumor showed no recurrence for 20 months. In this case, the integrated diagnostic approach based on histological and molecular findings was clinically significant to select proper adjuvant treatment. It is crucial that the usefulness and robustness of this new molecular diagnostic method be validated further.

Entities:  

Keywords:  copy number profile; methylation profile; pilocytic astrocytoma; tumor classifier tool

Year:  2019        PMID: 31417840      PMCID: PMC6692597          DOI: 10.2176/nmccrj.cr.2018-0282

Source DB:  PubMed          Journal:  NMC Case Rep J        ISSN: 2188-4226


Introduction

Pilocytic astrocytomas (PA) are the most common glioma in children and adolescent, and are preferentially located in the cerebellum and cerebral midline structures. The morphological features of them are characterized as a biphasic pattern with variable proportions of compacted bipolar cells with Rosenthal fibers and loose, textured multipolar cells with microcysts and occasional granular bodies[1)]; PA are conventionally diagnosed by microscopic examination. However, the accurate diagnosis is challenge because approximately 5% of IDH-wildtype glioma is PA diagnosed by molecular analysis, which cannot be diagnosed histologically.[2)] While most of IDH-wildtype glioma exhibits molecular alterations and survival characteristics of IDH-wildtype glioblastoma which need aggressive multimodality therapy: surgical resection, radiotherapy combined with anti-tumoral agents,[2–4)] PA is curable tumor by complete resection alone. The WHO diagnostic scheme is not sufficient for the clinical approach toward PA; therefore, a renewal of the diagnosis method is desired. The usefulness of a molecular diagnosis that focuses on DNA methylation profile in diagnosing PA has recently been reported,[5)] but accumulation of the evidence is necessary before conclusion. In this paper, a new molecular diagnosis was applied to a PA cases where a discrepancy was observed between the conventional pathological diagnosis and the clinical picture to investigate the role of the molecular approach.

Case Report

The patient was a 13-year-old girl with early morning headaches gradually worsened over a year. On admission, a well-demarcated T2-hyperintense lesion with irregular enhancing effect was found in the left cerebellum by magnetic resonance imaging (MRI) (Figs. 1A and 1B). A high apparent diffusion coefficient (ADC) value was recorded at 1.95 (×10−3 mm2/s) (Fig. 1C). These radiological findings and the age of the patient were compatible with typical characteristics of PA. After gross total resection, light microscopic examination revealed a low to moderate proliferation of diffuse astrocytic tumor cells with mild nuclear atypia; the surgical specimen did not show typical findings for PA such as a biphasic pattern, Rosenthal fibers, and eosinophilic granular bodies (Fig. 1A). Immunohistochemical staining demonstrated an IDH1 R132H-negative, ATRX-positive, GFAP-positive, partially p53-positive, and Ki67 index of 10.5%. Pathological diagnosis was an anaplastic astrocytoma (AA), not otherwise specified (NOS) (Figs. 2B–2D). The authors consulted the Department of Pathology at Hidaka Hospital (Professor Y. Nakazato), which made the final diagnosis of diffuse astrocytoma (DA), NOS. Because a pediatric cerebellar DA is quite rare, a request was made to Heidelberg University for a molecular diagnosis. According to the report by Capper et al.,[5)] DNA methylation-based classification was performed using Infinium MethylationEPIC BeadChip (850 K) (Illumina, San Diego, CA, USA). In this method, the DNA methylation pattern of a tumor specimen is classified based on unsupervised clustering of a reference cohort (2801 reference samples and 91 methylation classes), and each cluster is well visualized using t-distributed stochastic neighbor embedding dimensionality reduction. The calibrated score threshold to decide methylation class family is ≥0.9, and for subclasses within methylation class families, a threshold value of ≥0.5 is sufficient for a valid prediction. Copy number variation (CNV) profile was also calculated from the methylation array data. In this case, methylation-based classification demonstrated a score of 1.0 for the methylation class low-grade glioma, subclass posterior fossa PA (Fig. 3A). Although not obvious, CNV profile showed hints of BRAF/KIAA1549 fusion and there are no other chromosomal alterations (Fig. 3B). Clinical and molecular characteristics except for the histological findings were compatible with PA rather than IDH-wildtype gliomas including glioblastoma, diffuse midline glioma with H3 K27M mutation, and AA with piloid features,[6)] a new entity of diffuse gliomas that needs to be differentiated from PA (Table 1). Thus, we concluded that this case was a cerebellar PA without its histological features.
Fig. 1

MRI shows hyperintense on T2WI (A) with irregular enhancing lesion on post-contrast T1WI (B). ADC value of the T2-hyperintense lesion is high (C). Post-operative MRI shows that hyperintense lesion on T2WI is totally removed (D). MRI: magnetic resonance imaging, ADC: apparent diffusion coefficient.

Fig. 2

Representative pathological findings. Hematoxylin and eosin staining (A) revealed low to moderate proliferation of diffuse astrocytic tumor cells. Typical biphasic pattern, Rosenthal fibers, and eosinophilic granular bodies were not seen in the section. The tumor cells were negative for IDH1-R132H (B), and positive for ATRX (C). Ki67 index at the most proliferative area was 10.5% (D).

Fig. 3

In methylation-based tumor classification (A), the raw score 0.53 is equivalent to the other reference cases (gray dots) in the boxplot, and the calibrated score 1.0 demonstrates that this tumor belongs to methylation class low grade glioma, posterior fossa pilocytic astrocytoma. CNV profile (B) shows hints of BRAF/KIAA1549 fusion (arrow head) and there are no other chromosomal alterations. CNV, copy number variation.

Table 1

Key characteristics of PA and the differential diagnosis

Tumor entityAge distributionTumor locationHistological findingsMolecular findings


Piloid featuresAstrocytic featuresMalignant findingsGene fusion (%)Gene mutation (%)Copy number alteration (%)Methylation class
PA[1,58,18,19)]0–14CerebellumSupratentorial (mainly optic pathway)Brain stem++/−BRAF (>70% in all, 80–90% in posterior fossa,60% in supratentorial cases)BRAF (5)not applicablePA, PFPA, SUPPA, MID
IDH-wild type GBM[1,5,6)]55–85Cerebral hemisphia++not applicableTERT (72–90) TP53 (28–35)PTEN (25–35)NF1 (15–18)PIC3CA (5–15)EGFR amp (35–45)CDKN2A/B del (35–50)NFKB1A del (25)PDGFR amp (13)GBM, RTK IGBM, RTK IIGBM, RTK IIIGBM, G34GBM, MESGBM, MIDGBM, MYCN
DMG, H3 K27M-mutant[1,5,6)]5–11PonsThalamusSpinal cord (occasional involve the cerebellum)++/−not applicableH3 K27M (100)TP53 (50)ACVR1 (20)PPM1D (15)ATRX (15)PDGFR amp (30)CDK4/6 or CCND1–3 amp (20)MYC/PVT1 amp (15)DMG, H3 K27M
AA with piloid features[5,6)]21–50CerebellumCerebral hemisphiaSpinal cord++/−+BRAF (20%)ATRX (36)(ATRX loss/mutation (45)NF1 (19)FGFR1 (17)CDKN2A/B del (80)NF1 del (12)CDK4 amp (8)AA with piloid features
Any MAPK pathway gene alterations: 75%
The present case13Cerebellum+Hints of BRAF fusionnot donenot applicablePA, PF

Malignant findings mean nuclear atypia, mitotic activity, microvascular proliferation, and necrosis, AA: anaplastic astrocytoma, amp: amplification, del: homozygous deletion, DMG: diffuse midline glioma, GBM: glioblastoma multiform, MES: mesenchymal, MID: midline, PA: pilocytic astrocytoma, PF: posterior fossa.

MRI shows hyperintense on T2WI (A) with irregular enhancing lesion on post-contrast T1WI (B). ADC value of the T2-hyperintense lesion is high (C). Post-operative MRI shows that hyperintense lesion on T2WI is totally removed (D). MRI: magnetic resonance imaging, ADC: apparent diffusion coefficient. Representative pathological findings. Hematoxylin and eosin staining (A) revealed low to moderate proliferation of diffuse astrocytic tumor cells. Typical biphasic pattern, Rosenthal fibers, and eosinophilic granular bodies were not seen in the section. The tumor cells were negative for IDH1-R132H (B), and positive for ATRX (C). Ki67 index at the most proliferative area was 10.5% (D). In methylation-based tumor classification (A), the raw score 0.53 is equivalent to the other reference cases (gray dots) in the boxplot, and the calibrated score 1.0 demonstrates that this tumor belongs to methylation class low grade glioma, posterior fossa pilocytic astrocytoma. CNV profile (B) shows hints of BRAF/KIAA1549 fusion (arrow head) and there are no other chromosomal alterations. CNV, copy number variation. Key characteristics of PA and the differential diagnosis Malignant findings mean nuclear atypia, mitotic activity, microvascular proliferation, and necrosis, AA: anaplastic astrocytoma, amp: amplification, del: homozygous deletion, DMG: diffuse midline glioma, GBM: glioblastoma multiform, MES: mesenchymal, MID: midline, PA: pilocytic astrocytoma, PF: posterior fossa. The patient was treated with local radiotherapy concomitant with temozolomide based on the initial pathological diagnosis (AA, NOS) during the consultation, but maintenance temozolomide therapy was not done according to the final molecular diagnosis. The tumor showed no recurrence for 20 months. The diagnosis of PA matched well with the clinical picture of this case.

Discussion

Pilocytic astrocytomas account for 33.2% of all gliomas and >30% of them are located in the cerebellum in the 0–14 years age group[7)]; PA is the most common cerebellar glioma in children. The latest Brain Tumor Registry of Japan shows that the frequency of PA and DA in the cerebellar tumors are 42.3% and 5.5% including patients of all ages, respectively.[8)] Considering the age distribution, the frequency of pediatric cerebellar DA would be quite rare. This case was a 13-year-old girl, and the MRI findings including high ADC value of 1.95 (×10−3 mm2/s) and the clinically benign course were also compatible with PA,[9)] while the pathological findings suggested DA, NOS. The most challenging and clinically most relevant differential diagnosis of PA, given the differences in prognosis and the treatment implications, is with other diffuse gliomas.[10)] Particularly, PA sometimes shows a predominant oligodendroglial-like or astrocytic appearance without distinctive histological features, and can be misinterpreted as high grade glioma due to the presence of nuclear pleomorphism, vascular proliferation, and necrosis.[10–12)] A previous retrospective study reported that among the 58 PA cases, 15 (25.9%) and 11 (19.0%) cases showed the monomorphous oligodendroglioma-like pattern and the monomorphous fibrous pattern, respectively.[13)] And indeed, there was a clinical trial report in which two of 30 AA cases (6.7%) were reclassified into PA through the central review[14)]; the current WHO classification could have the risk of the misdiagnosis. Further, a recent paper demonstrated that approximately 5% of IDH-wildtype glioma was PA diagnosed by molecular analysis, which could not be diagnosed pathologically.[2)] More recently, midline PA with H3 K27M mutation[15–17)] and AA with piloid features,[6)] unclassified tumor entities which could not be diagnosed pathologically, were also reported. Diagnostic misinterpretation between PA, WHO grade I and other diffuse gliomas cause over/undertreatment of patients, and it is thought that unnecessary radiochemotherapy could be avoided in this case; therefore, a renewal of the diagnosis method is desired to distinguish them more robustly. Focusing on the molecular point of view, the diagnostic usefulness of the tumor classifier tool based on the DNA methylation profile was reported.[5)] According to the published validation cohort data reported by Capper et al., seven of 395 IDH-wildtype gliomas are finally reclassified into PA using the classifier tool. The primary pathological diagnosis of them are DA (two cases), AA (two cases), and glioblastoma (three cases), and the tumor location are posterior fossa in one case, supratentorial in one case, supra-infratentorial in one case, and not available in four cases. The median age of the seven cases are 10 (range: 1–22). Gene fusion testing shows BRAF fusion in only four of the seven cases. These data suggest that such diagnostic discordance likely occur in younger patients regardless of pathological diagnosis, tumor location, and that BRAF fusion status alone is not sufficient to salvage PA from other diffuse gliomas. About BRAF fusion, the most frequent genetic abnormality in PA, while posterior fossa PA harbor BRAF fusion in up to 80–90% of cases, supratentorial PA show the fusion in only about 60% of cases.[18,19)] And, BRAF status alone is not able to distinguish PA and AA with piloid features because both tumor entities partially share the genetic characteristic of BRAF.[6)] On the other hand, the tumor classifier tool has potential to differentiate PA from IDH-wildtype gliomas including glioblastoma, AA with piloid features, and diffuse midline glioma with H3 K27M mutation.[5,6)] Also, the performance of the tool to differentiate medulloblastoma, embryonal tumor with multilayered rosettes, atypical teratoid/rhabdoid tumor, and ependymoma, all of which are major types of pediatric brain tumors, is clinically significant.[5)] In addition, CNV profile calculated from the same methylation array data (e.g. BRAF fusion, EGFR amplification, CDKN2A/B deletion, SMARCB1 deletion, C19MC amplification, etc.) is able to support the diagnosis. The tumor classifier tool is a promising approach not only to solve the problems in the diagnosis of PA, but also to classify pediatric brain tumors more robustly than the current WHO diagnostic scheme. This case is an example of a successful diagnosis of PA by the new molecular diagnostic method, which was difficult to determine by a histological diagnosis. However, it needs to be clarified whether this diagnostic method can accurately predict clinical prognosis of the conventional PA entity, based on long-term follow-up results.

Conclusion

In this study, a new molecular diagnosis was applied in a PA cases where a discrepancy was observed between the conventional pathological diagnosis and the clinical pictures. The molecular diagnosis reflected the clinical pictures of the cases more accurately than the pathological diagnosis. However, it is necessary to validate the clinical usefulness of the new molecular diagnosis through accumulating the data before any conclusion.
  18 in total

1.  MAPK pathway activation through BRAF gene fusion in pilocytic astrocytomas; a novel oncogenic fusion gene with diagnostic, prognostic, and therapeutic potential.

Authors:  Judith W M Jeuken; Pieter Wesseling
Journal:  J Pathol       Date:  2010-12       Impact factor: 7.996

2.  Mutational landscape and clonal architecture in grade II and III gliomas.

Authors:  Hiromichi Suzuki; Kosuke Aoki; Kenichi Chiba; Yusuke Sato; Yusuke Shiozawa; Yuichi Shiraishi; Teppei Shimamura; Atsushi Niida; Kazuya Motomura; Fumiharu Ohka; Takashi Yamamoto; Kuniaki Tanahashi; Melissa Ranjit; Toshihiko Wakabayashi; Tetsuichi Yoshizato; Keisuke Kataoka; Kenichi Yoshida; Yasunobu Nagata; Aiko Sato-Otsubo; Hiroko Tanaka; Masashi Sanada; Yutaka Kondo; Hideo Nakamura; Masahiro Mizoguchi; Tatsuya Abe; Yoshihiro Muragaki; Reiko Watanabe; Ichiro Ito; Satoru Miyano; Atsushi Natsume; Seishi Ogawa
Journal:  Nat Genet       Date:  2015-04-13       Impact factor: 38.330

3.  Comprehensive, Integrative Genomic Analysis of Diffuse Lower-Grade Gliomas.

Authors:  Daniel J Brat; Roel G W Verhaak; Kenneth D Aldape; W K Alfred Yung; Sofie R Salama; Lee A D Cooper; Esther Rheinbay; C Ryan Miller; Mark Vitucci; Olena Morozova; A Gordon Robertson; Houtan Noushmehr; Peter W Laird; Andrew D Cherniack; Rehan Akbani; Jason T Huse; Giovanni Ciriello; Laila M Poisson; Jill S Barnholtz-Sloan; Mitchel S Berger; Cameron Brennan; Rivka R Colen; Howard Colman; Adam E Flanders; Caterina Giannini; Mia Grifford; Antonio Iavarone; Rajan Jain; Isaac Joseph; Jaegil Kim; Katayoon Kasaian; Tom Mikkelsen; Bradley A Murray; Brian Patrick O'Neill; Lior Pachter; Donald W Parsons; Carrie Sougnez; Erik P Sulman; Scott R Vandenberg; Erwin G Van Meir; Andreas von Deimling; Hailei Zhang; Daniel Crain; Kevin Lau; David Mallery; Scott Morris; Joseph Paulauskis; Robert Penny; Troy Shelton; Mark Sherman; Peggy Yena; Aaron Black; Jay Bowen; Katie Dicostanzo; Julie Gastier-Foster; Kristen M Leraas; Tara M Lichtenberg; Christopher R Pierson; Nilsa C Ramirez; Cynthia Taylor; Stephanie Weaver; Lisa Wise; Erik Zmuda; Tanja Davidsen; John A Demchok; Greg Eley; Martin L Ferguson; Carolyn M Hutter; Kenna R Mills Shaw; Bradley A Ozenberger; Margi Sheth; Heidi J Sofia; Roy Tarnuzzer; Zhining Wang; Liming Yang; Jean Claude Zenklusen; Brenda Ayala; Julien Baboud; Sudha Chudamani; Mark A Jensen; Jia Liu; Todd Pihl; Rohini Raman; Yunhu Wan; Ye Wu; Adrian Ally; J Todd Auman; Miruna Balasundaram; Saianand Balu; Stephen B Baylin; Rameen Beroukhim; Moiz S Bootwalla; Reanne Bowlby; Christopher A Bristow; Denise Brooks; Yaron Butterfield; Rebecca Carlsen; Scott Carter; Lynda Chin; Andy Chu; Eric Chuah; Kristian Cibulskis; Amanda Clarke; Simon G Coetzee; Noreen Dhalla; Tim Fennell; Sheila Fisher; Stacey Gabriel; Gad Getz; Richard Gibbs; Ranabir Guin; Angela Hadjipanayis; D Neil Hayes; Toshinori Hinoue; Katherine Hoadley; Robert A Holt; Alan P Hoyle; Stuart R Jefferys; Steven Jones; Corbin D Jones; Raju Kucherlapati; Phillip H Lai; Eric Lander; Semin Lee; Lee Lichtenstein; Yussanne Ma; Dennis T Maglinte; Harshad S Mahadeshwar; Marco A Marra; Michael Mayo; Shaowu Meng; Matthew L Meyerson; Piotr A Mieczkowski; Richard A Moore; Lisle E Mose; Andrew J Mungall; Angeliki Pantazi; Michael Parfenov; Peter J Park; Joel S Parker; Charles M Perou; Alexei Protopopov; Xiaojia Ren; Jeffrey Roach; Thaís S Sabedot; Jacqueline Schein; Steven E Schumacher; Jonathan G Seidman; Sahil Seth; Hui Shen; Janae V Simons; Payal Sipahimalani; Matthew G Soloway; Xingzhi Song; Huandong Sun; Barbara Tabak; Angela Tam; Donghui Tan; Jiabin Tang; Nina Thiessen; Timothy Triche; David J Van Den Berg; Umadevi Veluvolu; Scot Waring; Daniel J Weisenberger; Matthew D Wilkerson; Tina Wong; Junyuan Wu; Liu Xi; Andrew W Xu; Lixing Yang; Travis I Zack; Jianhua Zhang; B Arman Aksoy; Harindra Arachchi; Chris Benz; Brady Bernard; Daniel Carlin; Juok Cho; Daniel DiCara; Scott Frazer; Gregory N Fuller; JianJiong Gao; Nils Gehlenborg; David Haussler; David I Heiman; Lisa Iype; Anders Jacobsen; Zhenlin Ju; Sol Katzman; Hoon Kim; Theo Knijnenburg; Richard Bailey Kreisberg; Michael S Lawrence; William Lee; Kalle Leinonen; Pei Lin; Shiyun Ling; Wenbin Liu; Yingchun Liu; Yuexin Liu; Yiling Lu; Gordon Mills; Sam Ng; Michael S Noble; Evan Paull; Arvind Rao; Sheila Reynolds; Gordon Saksena; Zack Sanborn; Chris Sander; Nikolaus Schultz; Yasin Senbabaoglu; Ronglai Shen; Ilya Shmulevich; Rileen Sinha; Josh Stuart; S Onur Sumer; Yichao Sun; Natalie Tasman; Barry S Taylor; Doug Voet; Nils Weinhold; John N Weinstein; Da Yang; Kosuke Yoshihara; Siyuan Zheng; Wei Zhang; Lihua Zou; Ty Abel; Sara Sadeghi; Mark L Cohen; Jenny Eschbacher; Eyas M Hattab; Aditya Raghunathan; Matthew J Schniederjan; Dina Aziz; Gene Barnett; Wendi Barrett; Darell D Bigner; Lori Boice; Cathy Brewer; Chiara Calatozzolo; Benito Campos; Carlos Gilberto Carlotti; Timothy A Chan; Lucia Cuppini; Erin Curley; Stefania Cuzzubbo; Karen Devine; Francesco DiMeco; Rebecca Duell; J Bradley Elder; Ashley Fehrenbach; Gaetano Finocchiaro; William Friedman; Jordonna Fulop; Johanna Gardner; Beth Hermes; Christel Herold-Mende; Christine Jungk; Ady Kendler; Norman L Lehman; Eric Lipp; Ouida Liu; Randy Mandt; Mary McGraw; Roger Mclendon; Christopher McPherson; Luciano Neder; Phuong Nguyen; Ardene Noss; Raffaele Nunziata; Quinn T Ostrom; Cheryl Palmer; Alessandro Perin; Bianca Pollo; Alexander Potapov; Olga Potapova; W Kimryn Rathmell; Daniil Rotin; Lisa Scarpace; Cathy Schilero; Kelly Senecal; Kristen Shimmel; Vsevolod Shurkhay; Suzanne Sifri; Rosy Singh; Andrew E Sloan; Kathy Smolenski; Susan M Staugaitis; Ruth Steele; Leigh Thorne; Daniela P C Tirapelli; Andreas Unterberg; Mahitha Vallurupalli; Yun Wang; Ronald Warnick; Felicia Williams; Yingli Wolinsky; Sue Bell; Mara Rosenberg; Chip Stewart; Franklin Huang; Jonna L Grimsby; Amie J Radenbaugh; Jianan Zhang
Journal:  N Engl J Med       Date:  2015-06-10       Impact factor: 91.245

4.  Apparent diffusion coefficients for differentiation of cerebellar tumors in children.

Authors:  Z Rumboldt; D L A Camacho; D Lake; C T Welsh; M Castillo
Journal:  AJNR Am J Neuroradiol       Date:  2006 Jun-Jul       Impact factor: 3.825

5.  Alex's Lemonade Stand Foundation Infant and Childhood Primary Brain and Central Nervous System Tumors Diagnosed in the United States in 2007-2011.

Authors:  Quinn T Ostrom; Peter M de Blank; Carol Kruchko; Claire M Petersen; Peter Liao; Jonathan L Finlay; Duncan S Stearns; Johannes E Wolff; Yingli Wolinsky; John J Letterio; Jill S Barnholtz-Sloan
Journal:  Neuro Oncol       Date:  2015-01       Impact factor: 12.300

6.  Cellular proliferation in pilocytic and diffuse astrocytomas.

Authors:  C Giannini; B W Scheithauer; P C Burger; M R Christensen; P C Wollan; T J Sebo; P A Forsyth; C J Hayostek
Journal:  J Neuropathol Exp Neurol       Date:  1999-01       Impact factor: 3.685

7.  Randomized trial of chemoradiotherapy and adjuvant chemotherapy with nimustine (ACNU) versus nimustine plus procarbazine for newly diagnosed anaplastic astrocytoma and glioblastoma (JCOG0305).

Authors:  Soichiro Shibui; Yoshitaka Narita; Junki Mizusawa; Takaaki Beppu; Kuniaki Ogasawara; Yutaka Sawamura; Hiroyuki Kobayashi; Ryo Nishikawa; Kazuhiko Mishima; Yoshihiro Muragaki; Takashi Maruyama; Junichi Kuratsu; Hideo Nakamura; Masato Kochi; Yoshio Minamida; Toshiaki Yamaki; Toshihiro Kumabe; Teiji Tominaga; Takamasa Kayama; Kaori Sakurada; Motoo Nagane; Keiichi Kobayashi; Hirohiko Nakamura; Tamio Ito; Takahito Yazaki; Hikaru Sasaki; Katsuyuki Tanaka; Hideaki Takahashi; Akio Asai; Tomoki Todo; Toshihiko Wakabayashi; Jun Takahashi; Shingo Takano; Takamitsu Fujimaki; Minako Sumi; Yasuji Miyakita; Yoichi Nakazato; Akihiro Sato; Haruhiko Fukuda; Kazuhiro Nomura
Journal:  Cancer Chemother Pharmacol       Date:  2012-12-11       Impact factor: 3.333

8.  Pilocytic astrocytomas in children: prognostic factors--a retrospective study of 80 cases.

Authors:  Carla Fernandez; Dominique Figarella-Branger; Nadine Girard; Corinne Bouvier-Labit; Joanny Gouvernet; Armando Paz Paredes; Gabriel Lena
Journal:  Neurosurgery       Date:  2003-09       Impact factor: 4.654

Review 9.  MAPK pathway activation in pilocytic astrocytoma.

Authors:  David T W Jones; Jan Gronych; Peter Lichter; Olaf Witt; Stefan M Pfister
Journal:  Cell Mol Life Sci       Date:  2011-12-13       Impact factor: 9.261

Review 10.  Pilocytic astrocytoma: pathology, molecular mechanisms and markers.

Authors:  V Peter Collins; David T W Jones; Caterina Giannini
Journal:  Acta Neuropathol       Date:  2015-03-20       Impact factor: 17.088

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1.  The utility of DNA methylation analysis in elderly patients with pilocytic astrocytoma morphology.

Authors:  Yasuki Suruga; Kaishi Satomi; Yoshihiro Otani; Kentaro Fujii; Joji Ishida; Atsuhito Uneda; Nobushige Tsuboi; Keigo Makino; Shuichiro Hirano; Naoya Kemmotsu; Ryoji Imoto; Ryo Mizuta; Yusuke Tomita; Takao Yasuhara; Kana Washio; Hiroyuki Yanai; Yuko Matsushita; Yuko Hibiya; Akihiko Yoshida; David Capper; Koichi Ichimura; Isao Date
Journal:  J Neurooncol       Date:  2022-09-15       Impact factor: 4.506

2.  Recurrent adult pilocytic astrocytoma presenting with intraventricular and leptomeningeal spread.

Authors:  Khadeja Khan; Evan Luther; Alexis A Morrell; Sze Kiat Tan; Daniel G Eichberg; Ashish H Shah; Victor M Lu; Sakir H Gultekin; Jacques J Morcos
Journal:  Surg Neurol Int       Date:  2021-07-19
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