einstein (São Paulo). 02/Oct/2020;18:eAO5447.
In silico investigation of heparanase-correlated genes in breast cancer subtypes
Carina Mucciolo Melo
, Henrique Pereira Prado
, Gabriela Araújo Attie
, Daniel Lacaz Ruiz
, Manoel João Batista Castello Girão
, Maria Aparecida da Silva Pinhal
DOI: 10.31744/einstein_journal/2020AO5447
ABSTRACT
Objective
To investigate the possible genes that may be related to the mechanisms that modulate heparanase-1.
Methods
The analysis was conducted at Universidade Federal de São Paulo, on the data provided by: The Cancer Genome Atlas, University of California Santa Cruz Genome Browser, Kyoto Encyclopedia of Genes and Genomes Pathway Database, Database for Annotation, Visualization and Integrated Discovery Bioinformatics Database and the softwares cBioPortal and Ingenuity Pathway Analysis.
Results
Using messenger RNA expression pattern of different molecular subtypes of breast cancer, we proposed that heparinase-1 was co-related with its progression. In addition, genes that were analyzed presented co-expression with heparanase-1. The results that showed that heparanase-1 co-expressed with phosphoinositide 3-kinase adapter protein 1, sialic acid-binding immunoglobulin-like lectin 7, and leukocyte-associated immunoglobulin-like receptor 1 are directed related with immune system evasion during breast cancer progression. Furthermore, cathepsin L was co-expressed with heparanase-1 and transformed inactive heparanase-1 form into active heparanase-1, triggering extracellular matrix remodeling, which contributes to enhanced tumor-host interaction of the tumor.
Conclusion
The signaling pathway analysis using bioinformatics tools gives supporting evidence of possible mechanisms related to breast cancer development. Evasion genes of the immune system co-expressed with heparanase-1, a enzyme related with tumor progression.
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