ANALYSIS OF DIFFERENTIALLY EXPRESSED GENES IN BREAST CANCER SAMPLES FROM THE SEQUENCE READ ARCHIVE (SRA)

Authors

DOI:

https://doi.org/10.47820/recima21.v5i3.4955

Keywords:

Gene Expression Profiling, Computational Biology, Breast Neoplasms, RNA-seq

Abstract

Breast cancer (BC) is a highly prevalent disease in women with millions of new cases each year. Among the technological advances, RNA-seq technology stands out, which has allowed us to better understand gene expression, making it possible to unveil protein interactions between early and recurrent (post-mastectomy) breast tumors. New tools based on bioinformatics have emerged to follow the advancement of sequencing, with the main examples being the online analysis platforms Galaxy and WebGestalt. Additionally, the Sequence Read Archive (SRA) was established as a public repository for next-generation sequence data, as was the use of the Gene Expression Omnibus (GEO) functional genomic data repository. In this work, using total RNA sequencing analysis, it was possible to demonstrate generalized comparisons of early-stage CM with recurrent CM. Furthermore, Gene Ontology (GO), KEGG and Reactome were used to evaluate the functional relationships and improved pathways between early-stage CM and post-mastectomy recurrent CM. In conclusion, through the development of this study it was possible to discover new biomarkers that could be used as future therapeutic targets, enabling a better diagnosis and prognosis in BC aiming to improve the overall survival of patients.

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Author Biographies

Matheus Correia Casotti

Universidade Federal do Espírito Santo.

Giulia Maria Giacinti

Universidade Federal do Espírito Santo.

Aléxia Stefani Siqueira Zetum

Universidade Federal do Espírito Santo.

Camilly Victória Campanharo

Universidade Federal do Espírito Santo.

Karen Ruth Michio Barbosa

Universidade Federal do Espírito Santo.

Flavia de Paula

Universidade Federal do Espírito Santo.

Débora Dummer Meira

Universidade Federal do Espírito Santo.

Iúri Drumond Louro

Universidade Federal do Espírito Santo.

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Published

06/03/2024

How to Cite

Correia Casotti, M., Maria Giacinti, G., Stefani Siqueira Zetum, A., Victória Campanharo, C., Ruth Michio Barbosa, K., de Paula, F., … Drumond Louro, I. (2024). ANALYSIS OF DIFFERENTIALLY EXPRESSED GENES IN BREAST CANCER SAMPLES FROM THE SEQUENCE READ ARCHIVE (SRA). RECIMA21 - Revista Científica Multidisciplinar - ISSN 2675-6218, 5(3), e534955. https://doi.org/10.47820/recima21.v5i3.4955

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