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Article

In Silico Study to Predict the Structural and Functional Consequences of SNPs on Biomarkers of Ovarian Cancer (OC) and BPA Exposure-Associated OC.

International journal of molecular sciences - 2 Feb 2022

Zahra Aeman, Hall Marcia, Chatterjee Jayanta, Sisu Cristina, Karteris Emmanouil

Abstract excerpt

BACKGROUND: Recently, we have shown that seven genes, namely GBP5, IRS2, KRT4, LINCOO707, MRPL55, RRS1 and SLC4A11, have prognostic power for the overall survival in ovarian cancer (OC). METHODS: We present an analysis on the association of these genes with any phenotypes and mutations indicative of involvement in female cancers and predict the structural and functional consequences of those SNPS using in silico...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Share to Genital Neoplasms, Female

Share to Polymorphism, Single Nucleotide

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Identifiers

PMID: 35163645
DOI: 10.3390/ijms23031725
PMCID: PMC8835975

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