Abstract
Introduction: Basal-like Breast Cancer (BLBC) represents an important molecular subtype of breast
cancer characterized by an aggressive behavior, molecular pathology poorly understood
and a limited treatment. Objective: We aim to search for molecular differences between non-BLBC and BLBC tumors in order
to propose possible diagnostic and prognostic biomarkers using databases. Metodology: Microarray processed data were downloaded from GEO database considering non-BLBC
and BLBC. Enrichment analysis was evaluated using GO consortium and Ingenuity, protein–protein
interaction, gene Ontology and co-expression analysis using STRING. Gene expression
data was extracted using TCGA, METABRIC and Breast Cancer Gene-Expression Miner v4.2
databases. The Survival was evaluated using The Kaplan–Meier plotter. Results: Were identified 58 upregulated and 58 downregulated genes enriched in signaling pathways
like PDGF, Angiogenesis, Integrin and WNT. AGR2 and AGR3 expression were reduced in
BLBC in relation to non-BLBC tumors, patients aged ≤51 years, and with negativity
of ER, PR and HER-2 and nodal status. Low expression of AGR2 and AGR3 were associated
with worse OS and RFS for all breast cancer cases. But according to the molecular
stratification, low AGR2 conferred worst OS in luminal A, worst RFS in BLBC and good
OS and RFS in luminal B. High AGR3 conferred worse OS and RFS in BLBC, but low AGR3
attributed worse OS in luminal A. Conclusion: AGR2 and AGR3 expression were able to differentiate non-BLBC from BLBC. Downregulation
of AGR2 and AGR3 was associated with BLBC clinical phenotype. Furthermore, both genes
behave different when considering prognosis and molecular stratification.
Keywords
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Article info
Publication history
Published online: July 25, 2021
Accepted:
July 18,
2021
Received in revised form:
July 10,
2021
Received:
March 4,
2021
Footnotes
C.L.M and N.C.M contributed equally to this work.
Identification
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