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  4. OncoOmics approaches to reveal essential genes in breast cancer: a panoramic view from pathogenesis to precision medicine
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OncoOmics approaches to reveal essential genes in breast cancer: a panoramic view from pathogenesis to precision medicine

Journal
Scientific Reports
ISSN
2045-2322
Date Issued
2020-03-24
Author(s)
Andrés López-Cortés
Facultad de Ciencias de la Salud Eugenio Espejo  
PAZ Y MIÑO CEPEDA, CESAR ANTONIO  
Facultad de Ciencias de la Salud Eugenio Espejo  
Santiago Guerrero
Facultad de Ciencias de la Salud Eugenio Espejo  
Alejandro Cabrera-Andrade
Stephen J. Barigye
Cristian R. Munteanu
Humberto González-Díaz
Alejandro Pazos
Yunierkis Pérez-Castillo
Eduardo Tejera
DOI
10.1038/s41598-020-62279-2
URL
https://cris.ute.edu.ec/handle/123456789/620
Abstract
<jats:title>Abstract</jats:title><jats:p>Breast cancer (BC) is the leading cause of cancer-related death among women and the most commonly diagnosed cancer worldwide. Although in recent years large-scale efforts have focused on identifying new therapeutic targets, a better understanding of BC molecular processes is required. Here we focused on elucidating the molecular hallmarks of BC heterogeneity and the oncogenic mutations involved in precision medicine that remains poorly defined. To fill this gap, we established an OncoOmics strategy that consists of analyzing genomic alterations, signaling pathways, protein-protein interactome network, protein expression, dependency maps in cell lines and patient-derived xenografts in 230 previously prioritized genes to reveal essential genes in breast cancer. As results, the OncoOmics BC essential genes were rationally filtered to 140. mRNA up-regulation was the most prevalent genomic alteration. The most altered signaling pathways were associated with basal-like and Her2-enriched molecular subtypes. <jats:italic>RAC1</jats:italic>, <jats:italic>AKT1</jats:italic>, <jats:italic>CCND1</jats:italic>, <jats:italic>PIK3CA</jats:italic>, <jats:italic>ERBB2</jats:italic>, <jats:italic>CDH1</jats:italic>, <jats:italic>MAPK14</jats:italic>, <jats:italic>TP53</jats:italic>, <jats:italic>MAPK1</jats:italic>, <jats:italic>SRC</jats:italic>, <jats:italic>RAC3</jats:italic>, <jats:italic>BCL2</jats:italic>, <jats:italic>CTNNB1</jats:italic>, <jats:italic>EGFR</jats:italic>, <jats:italic>CDK2</jats:italic>, <jats:italic>GRB2</jats:italic>, <jats:italic>MED1</jats:italic> and <jats:italic>GATA3</jats:italic> were essential genes in at least three OncoOmics approaches. Drugs with the highest amount of clinical trials in phases 3 and 4 were paclitaxel, docetaxel, trastuzumab, tamoxifen and doxorubicin. Lastly, we collected ~3,500 somatic and germline oncogenic variants associated with 50 essential genes, which in turn had therapeutic connectivity with 73 drugs. In conclusion, the OncoOmics strategy reveals essential genes capable of accelerating the development of targeted therapies for precision oncology.</jats:p>

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