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Computational strategies for identifying high-risk SNP of PTEN in prostate cancer: A Mutational profiling study

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Title Computational strategies for identifying high-risk SNP of PTEN in prostate cancer: A Mutational profiling study
 
Creator Sekar, Vharshini Sivaraj, Deetchika
Ansar, Zoubiya Afshan
Karunakaran, Keerthana
Muniyan, Rajiniraja
 
Subject Biomarker
GROMACS
Missense mutation
Molecular dynamics simulation
Tumor suppressor
 
Description 279-289
The fifth most prevalent cause of cancer-related mortality and the most often diagnosed malignancy in males is prostate
cancer. The PTEN tumor suppressor gene is one of the most often altered genomes in prostate cancer. PTEN is a potentially
helpful genetic marker to discriminate between indolent and aggressive illness in individuals with clinically localised tumors
because loss of PTEN function activates the PI3K-AKT pathway and is highly related with unfavourable oncological
outcomes. Moreover, research has suggested that PTEN inactivation due to deletion or mutation influence tumor formation
by modifying the immune system and the tumor microenvironment, in addition to its known roles in the PI3K/AKT
pathway. Hence, the study aimed to screen all PTEN associated SNPs of prostate cancer for analyzing its structural and
functional impact through various computational tools. The results showed C124S and G129R as the most pathogenic
variant and are highly conserved causing protein destabilization in prostate cancer. Further, structural analysis through
molecular simulation showed that the mutant G129R caused huge instability, high residue fluctuation and loss of
compactness in the PTEN protein. The study’s findings shed light on the structural and functional consequences of specific
PTEN mutations in prostate cancer.
 
Date 2024-04-18T05:31:52Z
2024-04-18T05:31:52Z
2024-04
 
Type Article
 
Identifier 0975-0959 (Online); 0301-1208 (Print)
http://nopr.niscpr.res.in/handle/123456789/63784
https://doi.org/10.56042/ijbb.v61i5.6227
 
Language en
 
Publisher NIScPR-CSIR,India
 
Source IJBB Vol.61(05) [May 2024]