Evidence map›Paper›PMID 17180249›Full record

ArticleMolecular and cellular biochemistry2007

Loss of heterozygosity of the p53 gene and deregulated expression of its mRNA and protein in human brain tumors.

K Rohini, J Mathivanan, P D Antony Herold Prabhu, D K Subbakrishna, M L Gope, B A Chandramouli, S Sampath, B Anandh, R Gope

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Article in Molecular and cellular biochemistry, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 38% of its field
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

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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

2 citing papers in PubMed, 9 citations in OpenAlex.

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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

9 authors at 2 institutions in 2 countries.

K RohiniDepartment of Human Genetics, National Institute of Mental Health and Neuro Sciences, Bangalore 560 029, India.
J Mathivanan
P D Antony Herold Prabhu
D K Subbakrishna
M L Gope
B A Chandramouli
S Sampath
B Anandh
R Gope
National Institute of Mental Health and Neurosciences · INCity College of New York · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumor-specific alterations at the p53 gene locus were analyzed in 40 human brain tumor samples. Gliomas were more prevalent in young males and meningiomas in old females. Structural changes at the intron 1 region of the p53 gene were analyzed in these tumors by Southern blotting. Among the 40 tumors, 33 were informative and 21 of these (63.6%) informative cases showed loss of heterozygosity (LOH). This is the first report showing LOH at the intron 1 region of p53 gene in human brain tumors. The level of p53 mRNA, p53 protein and Ser 392 phosphorylated p53 protein were also analyzed in all tumor samples. Normal sized p53 mRNA and protein were present in all the tumor samples; however, their levels were 1.5- to 4-fold higher compared to the control suggesting deregulated p53 pathway in these tumors. No correlation was found between LOH status and the levels of p53 mRNA and protein. In all high-grade glioblastomas majority of the p53 protein existed as Ser 392 phosphorylated form as compared to low-grade gliomas. In addition, the percentage of Ser 392 phosphorylated form of p53 protein was lower in meningiomas and other brain tumor types irrespective of tumor grade. These results suggest involvement of Ser 392 phosphorylated form of p53 protein during the later stages of glioma development. These results also indicate that deregulation of p53 gene could occur at various steps in p53 pathway and suggest an overall deregulation of p53 gene in most brain tumor types.

Indexed as

Gene Expression Regulation, NeoplasticLoss of HeterozygosityAdultAgedBrain NeoplasmsCell Line, TumorChildChild, PreschoolFemaleHumansMaleMiddle AgedPhosphoserineRNA, MessengerTumor Suppressor Protein p53PhosphoserineRNA, MessengerTumor Suppressor Protein p53

Identifiers

PMID17180249
OpenAlexW2129105270

What OpenQuestion holds

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Registered trials

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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.