Evidence map›Paper›PMID 22754205›Full record

ArticleIndian journal of medical and paediatric oncology : official journal of Indian Society of Medical & Paediatric Oncology2012

A study of histopathological spectrum and expression of Ki-67, TP53 in primary brain tumors of pediatric age group.

Subhalakshmi Sengupta, Uttara Chatterjee, Uma Banerjee, Samarendranath Ghosh, Sandip Chatterjee, Ashit K Ghosh

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Article in Indian journal of medical and paediatric oncology : official journal of Indian Society of Medical & Paediatric Oncology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 28% of its field
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 20 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors at 4 institutions in 1 country.

Subhalakshmi SenguptaDepartment of Pathology, RG Kar Medical College, Kolkata, West Bengal, India.
Uttara Chatterjee
Uma Banerjee
Samarendranath Ghosh
Sandip Chatterjee
Ashit K Ghosh
Bose Institute · INBangur Institute of Neurosciences · INBurdwan Medical College & Hospital · INR. G. Kar Medical College and Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe primary brain tumors are the second most common cause of death due to malignancies in children. This study was done to analyze the histological spectrum of primary brain tumors in children and also to find out the expression of p53 and Ki67 in some of the common pediatric brain tumors. MATERIALS AND

methodsThis study was done over a period of 2.5 years. The patients were followed up until 6 months to determine the outcome. We examined H and E sections from 61 pediatric brain tumors and also performed immunohistochemical stains with p53 and Ki67 on 52 of these samples.

resultsOf the 61 cases of pediatric brain tumors the commonest were pilocytic astrocytomas and medulloblastomas both constituting 22.9% of total cases, followed by high grade gliomas, that is, anaplastic astrocytoma and glioblastoma taken together (14.7%), diffuse astrocytomas (11.4%), ependymomas (8.1%), and oligodendrogliomas (4.9%). Other cases comprised craniopharyngiomas, astroblastomas, and gangliocytoma. The mean age of presentation was 9.3 years, male children being more commonly affected. Ki67 labeling index (LI) and p53 expression in pilocytic astrocytomas and diffuse astrocytomas were significantly lower than that of high-grade astrocytomas. However, there was no significant difference of expression of these two antigens in pilocytic astrocytomas and diffuse astrocytomas. It was found that Ki67 LI was a better marker for distinguishing between grades of astrocytoma than p53 (P=0.000 and P=0.002, respectively). The survival in cases of pilocytic astrocytomas was far better than high-grade gliomas. However, there was no significant difference in survival between pilocytic astrocytoma and diffuse infiltrating astrocytoma. There was significant positive correlation between expression of p53 and Ki67 LI in cases of medulloblastomas. Both p53 (P=0.002) and Ki67 LI (P=0.000) taken individually correlated well with survival in these cases. Also, Ki67 LI is better predictor of outcome than p53.

conclusionFrom this study, it can be concluded that Ki67 and p53 score correlated well with the grade of astrocytoma; however, Ki67 is a better marker for differentiating between the grades of astrocytoma than p53. Also, Ki67 LI is a better prognostic factor than p53 in case of medulloblastomas.

Indexed as

Ki67p53Pediatric brain tumors

Identifiers

PMID22754205
PMCPMC3385275
OpenAlexW1997863331

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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.