Journal of Pathology and Translational Medicine

Original Article

The prognostic significance of p16 expression pattern in diffuse gliomas: Jin Woo Park, Jeongwan Kang, Ka Young Lim, Hyunhee Kim, Seong-Ik Kim, Jae Kyung Won, Chul-Kee Park, Sung-Hye Park; J Pathol Transl Med. 2021;55(2):102-111. Published online December 23, 2020; DOI: https://doi.org/10.4132/jptm.2020.10.22

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Background
CDKN2A is a tumor suppressor gene that encodes the cell cycle inhibitor protein p16. Homozygous deletion of the CDKN2A gene has been associated with shortened survival in isocitrate dehydrogenase (IDH)–mutant gliomas. This study aimed to analyze the prognostic value of p16 and to evaluate whether p16 immunohistochemical staining could be used as a prognostic marker to replace CDKN2A genotyping in diffuse gliomas.
Methods
p16 immunohistochemistry was performed on tissue microarrays of 326 diffuse gliomas with diagnoses that reflected IDH-mutations and 1p/19q codeletion status. The results were divided into three groups (negative, focal expression, overexpression) according to the presence and degree of p16 expression. Survival analysis was performed to assess the prognostic value of p16 expression.
Results
A loss of p16 expression predicted a significantly worse outcome in all glioma patients (n=326, p<.001), in the IDH-mutant glioma patients (n=103, p=.010), and in the IDH-mutant astrocytoma patients (n=73, p=.032). However, loss of p16 expression did not predict the outcome in the IDH-wildtype glioma patients (n=223, p=.121) or in the oligodendroglial tumor patients with the IDH-mutation and 1p/19q codeletion (n=30, p=.457). Multivariate analysis showed the association was still significant in the IDH-mutant glioma patients (p=.008; hazard ratio [HR], 2.637; 95% confidence interval [CI], 1.295 to 5.372) and in the IDH-mutant astrocytoma patients (p=.001; HR, 3.586; 95% CI, 1.649 to 7.801). Interestingly, patients who presented with tumors with p16 overexpression also had shorter survival times than did patients with tumors with p16 focal expression in the whole glioma (p< .001) and in IDH-mutant glioma groups. (p=.046).
Conclusions
This study suggests that detection of p16 expression by immunohistochemistry can be used as a useful surrogate test to predict prognosis, especially in IDH-mutant astrocytoma patients.

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Case Study

Aggressive Supratentorial Ependymoma, RELA Fusion-Positive with Extracranial Metastasis: A Case Report: Seong-Ik Kim, Yoojin Lee, Seung Ki Kim, Hyoung Jin Kang, Sung-Hye Park; J Pathol Transl Med. 2017;51(6):588-593. Published online November 15, 2017; DOI: https://doi.org/10.4132/jptm.2017.08.10

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Abstract PDF

Ependymoma is the third most common pediatric primary brain tumor. Ependymomas are categorized according to their locations and genetic abnormalities, and these two parameters are important prognostic factors for patient outcome. For supratentorial (ST) ependymomas, RELA fusion-positive ependymomas show a more aggressive behavior than YAP1 fusion-positive ependymomas. Extracranial metastases of intra-axial neuroepithelial tumors are extremely rare. In this paper, we report a case of aggressive anaplastic ependymoma arising in the right frontoparietal lobe, which had genetically 1q25 gain, CDKN2A homozygous deletion, and L1CAM overexpression. The patient was a 10-year-old boy who underwent four times of tumor removal and seven times of gamma knife surgery. Metastatic loci were scalp and temporalis muscle overlying primary operation site, lung, liver, buttock, bone, and mediastinal lymph nodes. He had the malignancy for 10 years and died. This tumor is a representative case of RELA fusion-positive ST ependymoma, showing aggressive behavior.

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Original Article

Reclassification of Mixed Oligoastrocytic Tumors Using a Genetically Integrated Diagnostic Approach: Seong-Ik Kim, Yujin Lee, Jae-Kyung Won, Chul-Kee Park, Seung Hong Choi, Sung-Hye Park; J Pathol Transl Med. 2018;52(1):28-36. Published online September 29, 2017; DOI: https://doi.org/10.4132/jptm.2017.09.25

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Abstract PDF

Background
Mixed gliomas, such as oligoastrocytomas (OA), anaplastic oligoastrocytomas, and glioblastomas (GBMs) with an oligodendroglial component (GBMO) are defined as tumors composed of a mixture of two distinct neoplastic cell types, astrocytic and oligodendroglial. Recently, mutations ATRX and TP53, and codeletion of 1p/19q are shown to be genetic hallmarks of astrocytic and oligodendroglial tumors, respectively. Subsequent molecular analyses of mixed gliomas preferred the reclassification to either oligodendroglioma or astrocytoma. This study was designed to apply genetically integrated diagnostic criteria to mixed gliomas and determine usefulness and prognostic value of new classification in Korean patients.
Methods
Fifty-eight cases of mixed OAs and GBMOs were retrieved from the pathology archives of Seoul National University Hospital from 2004 to 2015. Reclassification was performed according to genetic and immunohistochemical properties. Clinicopathological characteristics of each subgroup were evaluated. Overall survival was assessed and compared between subgroups.
Results
We could reclassify all mixed OAs and GBMOs into either astrocytic or oligodendroglial tumors. Notably, 29 GBMOs could be reclassified into 11 cases of GBM, IDH-mutant, 16 cases of GBM, IDH-wildtype, and two cases of anaplastic oligodendroglioma, IDH mutant. Overall survival was significantly different among these new groups (p<.001). Overall survival and progression-free survival were statistically better in gliomas with IDH mutation, ATRX mutation, no microscopic necrosis, and young patient age (cut off, 45 years old).
Conclusions
Our results strongly suggest that a genetically integrated diagnosis of glioma better reflects prognosis than former morphology-based methods.

Citations

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The prognostic significance of p16 expression pattern in diffuse gliomas
Jin Woo Park, Jeongwan Kang, Ka Young Lim, Hyunhee Kim, Seong-Ik Kim, Jae Kyung Won, Chul-Kee Park, Sung-Hye Park
Journal of Pathology and Translational Medicine.2021; 55(2): 102. CrossRef
Dynamic susceptibility contrast and diffusion MR imaging identify oligodendroglioma as defined by the 2016 WHO classification for brain tumors: histogram analysis approach
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Review

Molecular Testing of Brain Tumor: Sung-Hye Park, Jaekyung Won, Seong-Ik Kim, Yujin Lee, Chul-Kee Park, Seung-Ki Kim, Seung-Hong Choi; J Pathol Transl Med. 2017;51(3):205-223. Published online May 12, 2017; DOI: https://doi.org/10.4132/jptm.2017.03.08

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Abstract PDF

The World Health Organization (WHO) classification of central nervous system (CNS) tumors was revised in 2016 with a basis on the integrated diagnosis of molecular genetics. We herein provide the guidelines for using molecular genetic tests in routine pathological practice for an accurate diagnosis and appropriate management. While astrocytomas and IDH-mutant (secondary) glioblastomas are characterized by the mutational status of IDH, TP53, and ATRX, oligodendrogliomas have a 1p/19q codeletion and mutations in IDH, CIC, FUBP1, and the promoter region of telomerase reverse transcriptase (TERTp). IDH-wildtype (primary) glioblastomas typically lack mutations in IDH, but are characterized by copy number variations of EGFR, PTEN, CDKN2A/B, PDGFRA, and NF1 as well as mutations of TERTp. High-grade pediatric gliomas differ from those of adult gliomas, consisting of mutations in H3F3A, ATRX, and DAXX, but not in IDH genes. In contrast, well-circumscribed low-grade neuroepithelial tumors in children, such as pilocytic astrocytoma, pleomorphic xanthoastrocytoma, and ganglioglioma, often have mutations or activating rearrangements in the BRAF, FGFR1, and MYB genes. Other CNS tumors, such as ependymomas, neuronal and glioneuronal tumors, embryonal tumors, meningothelial, and other mesenchymal tumors have important genetic alterations, many of which are diagnostic, prognostic, and predictive markers and therapeutic targets. Therefore, the neuropathological evaluation of brain tumors is increasingly dependent on molecular genetic tests for proper classification, prediction of biological behavior and patient management. Identifying these gene abnormalities requires cost-effective and high-throughput testing, such as next-generation sequencing. Overall, this paper reviews the global guidelines and diagnostic algorithms for molecular genetic testing of brain tumors.

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