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Abstract 2336: Clinical-pathological characterization of the immunomodulator subgroup of triple negative breast cancer as a promising step in the selection of patients in personalized immunotherapies

Introduction: Triple Negative Breast Cancer (CMTN) represents 23.1% of breast cancer cases in Mexico, is defined as a tumor that is absent of hormone receptors (estrogen and progesterone) and low HER2 overexpression and clinically is characterized by its agressive tumoral behavior. Lehmann et al. de...

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Published in:Cancer research (Chicago, Ill.) Ill.), 2019-07, Vol.79 (13_Supplement), p.2336-2336
Main Authors: Bautista, Ruben R., Rodríguez, Oscar Gerardo A., Miranda, Alfredo H., Dehesa, Alejandro Z.
Format: Article
Language:English
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Summary:Introduction: Triple Negative Breast Cancer (CMTN) represents 23.1% of breast cancer cases in Mexico, is defined as a tumor that is absent of hormone receptors (estrogen and progesterone) and low HER2 overexpression and clinically is characterized by its agressive tumoral behavior. Lehmann et al. described an immunomodulatory (IM) group which is composed of genes for immune antigens and transduction pathways of immune signals and cytokines. Recent studies have shown that patients with the IM phenotype have a better prognosis. So it is important to continue with the description of this subgroup as the first step for personalized therapies in this heterogeneous tumor. Methodology: Retrospective clinical study, patients with diagnosis of CMTN, attended at the National Cancer Institute of Mexico (Total: 69 patients) were included. Following, the extraction of RNA from the primary tumor tissue of CMTN paraffin blocks was performed to subsequently generate labeled cDNA for hybridization in Affymetrix® Human Gene 2.0 microarrays, to later carry out the scanning and analysis of the data. For the analysis of microarrays we used the free software R and Bioconductor.65. And then the classification of patients using the platform "TNBCtype (http://cbc.mc.vanderbilt.edu/tnbc/)". And finally the analysis of survival, univariate and multivariate through SPSS. Results: We observed some clinical variables with statistical difference such as radiotherapy (p
ISSN:0008-5472
1538-7445
DOI:10.1158/1538-7445.AM2019-2336