Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Bioinformatics Analyzes of Selectins Polymorphisms Reveal New Potential Cancer Biomarkers

Larissa Teodoro Rabi
* ORCID logo ,
Davi Zanoni Valente
,
Elisangela de Souza Teixeira
,
Karina Colombera Peres
,
Natassia Elena Bufalo
,
Laura Sterian Ward
Version 1 : Received: 28 February 2023 / Approved: 1 March 2023 / Online: 1 March 2023 (08:48:00 CET)

How to cite: Rabi, L.T.; Valente, D.Z.; Teixeira, E.D.S.; Peres, K.C.; Bufalo, N.E.; Ward, L.S. Bioinformatics Analyzes of Selectins Polymorphisms Reveal New Potential Cancer Biomarkers. Preprints 2023, 2023030014. https://doi.org/10.20944/preprints202303.0014.v1. Rabi, L.T.; Valente, D.Z.; Teixeira, E.D.S.; Peres, K.C.; Bufalo, N.E.; Ward, L.S. Bioinformatics Analyzes of Selectins Polymorphisms Reveal New Potential Cancer Biomarkers. Preprints 2023, 2023030014. https://doi.org/10.20944/preprints202303.0014.v1.

Abstract

Selectins are responsible for the early stages of cell migration as they control cell adhesion. They make the microenvironment permissive for metastatic events by promoting the activation of other cell adhesion molecules (CAMs). We employed several robust bioinformatics tools to evaluate gene sequence; single nucleotide polymorphisms (SNPs) in intronic and UTR regions; and missense SNPs with amino acid change in L-selectin (SELL), E-selectin (SELE), P-selectin (SELP) and PSGL-1 (SELPLG). We demonstrated that gene polymorphisms rs2229569, rs1131498, rs4987360, rs4987301 and rs2205849; polymorphisms rs3917777, rs2205894 and rs2205893 of SELP gene; rs7138370, rs7300972 and rs2228315 variants of SELPLG gene; and rs1534904 and rs5368 polymorphisms of SELE gene may produce important alterations in the DNA structure and consequent alterations in the morphology and function of the corresponding proteins. These Selectin polymorphic variants deserve further investigation in cancer patients, as they may become useful clinical markers for risk determination, diagnostic and prognostic biomarkers or even targets for targeted therapies.

Keywords

bioinformatics analysis; selectins; cancer

Subject

LIFE SCIENCES, Genetics

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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