Genetic analysis of polymorphism rs10937405 of TP63 gene in breast and ovarian cancer patients of North Indian Cohort

Verma, Sonali; Bakshi, Divya; Bhat, G. M.; Bhat, Amrita; Shah, Ruchi; Sharma, Bhanu; Wakhloo, Ajay K.; Heer, Vikas Kumar; Chander, Gresh; Kumar, Rakesh

doi:10.4103/jcrt.jcrt_1517_20

Cited by 1 publication

(1 citation statement)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Through an extensive literature review, it became evident that very few studies have been published to date on the genetic screening of ovarian cancer in females from North Indian region of Jammu and Kashmir; We have previously explored the role of various gene variants with different cancers, prevalent in this region and reported many variants having a significant association with some cancers. [12][13][14][15] However, till date, there has been a notable lack of exploration regarding the role of GPCRs in ovarian cancer. GPCRs, known for their crucial involvement in cellular signaling, have been recognized as key players in various physiological and pathological processes.…”

Section: Introductionmentioning

confidence: 99%

Exome sequencing identifies ADGRG4 G‐protein‐coupled receptors gene as a novel cancer biomarker in ovarian cancer patients from North India

Sharma,

Verma,

Angurana

et al. 2024

J Biochem & Molecular Tox

Self Cite

View full text Add to dashboard Cite

Adhesion G protein‐coupled receptor G4 (ADGRG4) is a G protein‐coupled receptor (GPCR) that belongs to the adhesion family. Participation of ADGRG4 in cell adhesion and migration, signaling pathway activation, influence on angiogenesis, and modulation of immune responses are some of the possible ways through which it may contribute to oncogenesis. Conducting extensive omics studies poses budgetary challenges to small labs in peripheral areas, primarily due to restricted research funding and resource limitations. Here we propose a low‐budget model for biomarker screening. A total of 11 ovarian cancer samples were sent for exome sequencing. Among various genes, ADGRG4 variants were present in all 11 samples and thus were chosen as a potential biomarker in the present population. However, the precise role of ADGRG4 in cancer is not fully understood. The present study aims to look at the association between the ADGRG4 gene variants and their risk of ovarian cancer in the North Indian region of Jammu and Kashmir, India. Overall, 235 individuals (115 cases and 120 healthy controls) were genotyped for the selected biomarker using Sanger sequencing. Logistic regression was used to assess the relationship between the variant and ovarian cancer. A statistically significant association was identified between the ADGRG4 variant rs5930932 polymorphism and the incidence of ovarian cancer among the study population. When corrected for age and BMI, the dominating OR of variant rs5930932 was 1.035 (1.003−1.069) under HWE patients (0.95) and controls (0.18), with a p‐value of (0.03). According to the findings of the current investigation, the ADGRG4 gene variant rs5930932 increases the chance of developing ovarian cancer in the studied population.

show abstract

Section: Introductionmentioning

confidence: 99%