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https://doi.org/10.21203/rs.3....
Article . 2022 . Peer-reviewed
License: CC BY
Data sources: Crossref

Bioinformatics analysis identifies NDRG1 gene variants that may be relevant to thyroid cancer risk and prognosis

Authors: Georgia Barcia Borré; Andressa Teles Pimenta; Gabriela Souza Chmieleski; Gabriela Resende Moyses; Larissa Teodoro Rabi; Karina Colombera Peres; Elisângela Souza Teixeira; +2 Authors

Bioinformatics analysis identifies NDRG1 gene variants that may be relevant to thyroid cancer risk and prognosis

Abstract

Abstract The study of genetic alterations that alter genes that regulate normal cellular processes, providing growth advantages and metastatic capabilities to tumor cells is fundamental for a deeper understanding of the molecular nature of different types of cancer, while revealing new therapeutic targets. The NDRG1 gene encodes a protein whose expression has been associated with tumor development and progression, but data on different types of cancer are still dubious and controversial. In order to establish a possible relationship of NDRG1 gene polymorphisms with susceptibility, clinical characteristics and evolution of patients with thyroid tumors, we undertook a comprehensive bioinformatics investigation using a series of in silico tools. We demonstrate that NDRG1 rs201348291 and rs151322132 SNPs are potential and important candidates that can influence the process of pathological development of neoplasms, including thyroid neoplasms. Further validation on thyroid nodule patients and functional studies may confirm their clinical utility in the management of these patients.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
hybrid
Related to Research communities
Cancer Research