Evidence map›Paper›PMID 39165459›Full record

ArticleCureus2024

Histopathological Spectrum of Gliomas and Its Immunohistochemical Correlation in a Tertiary Care Setup.

Srishti Malla, Rupali Bavikar, Charusheela Gore, Ashish Chugh, Sushama Gurwale

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Srishti MallaPathology, Dr. D. Y. Patil Medical College, Hospital and Research Centre, Dr. D. Y. Patil Vidyapeeth, Pune, IND.
Rupali BavikarPathology, Dr. D. Y. Patil Medical College, Hospital and Research Centre, Dr. D. Y. Patil Vidyapeeth, Pune, IND.
Charusheela GorePathology, Dr. D. Y. Patil Medical College, Hospital and Research Centre, Dr. D. Y. Patil Vidyapeeth, Pune, IND.
Ashish ChughNeurosurgery, Dr. D. Y. Patil Medical College, Hospital and Research Centre, Dr. D. Y. Patil Vidyapeeth, Pune, IND.
Sushama GurwalePathology, Dr. D. Y. Patil Medical College, Hospital and Research Centre, Dr. D. Y. Patil Vidyapeeth, Pune, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction Central nervous system (CNS) tumors pose significant diagnostic challenges due to their varied morphological and differentiating characteristics. Modern advancements in immunohistochemistry (IHC) and molecular pathology have greatly enhanced prognostication, screening, and therapeutic management. Gliomas, a type of tumor originating from glial cells in the CNS, can develop from astrocytes, oligodendrocytes, or ependymal cells. According to the 2021 update, the classification of diffuse gliomas is primarily based on the presence or absence of isocitrate dehydrogenase (IDH1/2) mutations. IDH-wildtype gliomas (glioblastomas) have a significantly poorer prognosis compared to IDH-mutant gliomas (astrocytomas and oligodendrogliomas). Gliomas are highly infiltrative and resistant to treatment, making them largely incurable regardless of their grade and prognosis. Objective This study aimed to determine the histopathological diversity of gliomas and its correlation with protein expressions of IDH, ATRX gene (α-thalassemia/mental retardation syndrome X-linked), Ki-67, and p53 mutations (tumor suppressor gene-53), according to the 2021 World Health Organization (WHO) Classification of CNS Tumors, Fifth Edition. Methods This descriptive cross-sectional study was carried out in the Department of Pathology at a tertiary care center, focusing on various types of gliomas received over a two-year period. A total of 54 specimens of gliomas received from the Department of Neurosurgery were subjected to histopathological examination. Sections were stained using hematoxylin and eosin (H&E), and IHC was performed using four markers (IDH, ATRX, p53, Ki-67) in each case. Results were analyzed according to the 2021 WHO Classification of CNS Tumors, Fifth Edition. Results The majority of individuals were between the age group of 40 and 60 years, showing a male predominance (65%). The most common site was the frontal lobe. Glioblastoma constituted the largest proportion (46.2%) of the total cases, followed by astrocytoma (20.3%), oligodendroglioma (18.5%), pilocytic astrocytoma (7.4%), and ependymoma (7.4%). All 11 cases of astrocytoma exhibited IDH mutation and ATRX loss, with p53 positive in the majority of cases. Strong nuclear p53 immunohistochemical positivity in >10% of tumor nuclei correlates with TP53 mutations. Among 25 cases of glioblastoma, IDH was negative, ATRX was retained in all cases, and 11 cases were positive for p53 mutation. For oligodendroglioma, out of 10 cases, IDH mutation was positive, and ATRX was retained in all cases. p53 mutation was not seen in any case. All cases of pilocytic astrocytoma were negative for IDH and p53 mutations, with ATRX retained in all cases. In all cases of ependymoma, IDH and p53 mutations were negative, and ATRX was retained in all cases. Glioblastomas exhibited the highest Ki-67 expression. Conclusion The 2021 WHO Classification of CNS Tumors, Fifth Edition, was updated, building on previously established concepts and continuing to evolve. The final diagnosis of gliomas relies on a comprehensive combination of clinical evaluation, neuroimaging, pathological examination, and molecular analysis. Nonetheless, histopathological examination, along with IHC, remains the cornerstone of diagnosis.

Indexed as

astrocytomaependymomaglioblastomaisocitrate dehydrogenaseoligodendroglioma

Identifiers

PMID39165459
PMCPMC11335173

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.