Evaluation of 96 stress responsive proteins in breast cancer subtypes: clinical correlations

ZOPPINO F. C. M.; GUERRERO M.; CAYADO-GUTIÉRREZ N.; CASTRO G. N.; CUELLO CARRION F. D.; FANELLI M. A.; CIOCCA D. R.

Huangshan

Congreso; VIIth International Congress on Stress Response in Biology and Medicine; 2015

Cell Stress Society International

Aim: To analyze the mRNA levels of the 96 HSP family members in breast cancer subtypes (Luminal A, Luminal B, HER2-enriched, and Basal-like). Methods: The study was performed in the publicly available breast cancer dataset (The Cancer Genome Atlas Project [TCGA]) examining 1039 samples obtained at the time of initial diagnosis. Differentially expressed geneswere analyzed; and Kaplan Meier curves for each HSP (categorical data) were generated analyzing overall survival (OS). Multivariate analysis was performed by Cox proportional hazard ratio; we analyzed several known prognostic predictors (ER, lymph node status, age, etc.) which were related with the mRNA expression levels ofthe HSPs. Results: We have found HSP c1usters that are specifically down-regulated while others appeared specifically upregulated in unique breast cancer subtypes. Moreover, we have found HSPs that are modified in all breast cancer subtypes. After analyzing each HSP level with the DF and OS, we were ableto identify novel HSPs that show correlations with the survival of the cancer patients. Conclusion: We report the complexity of the mRNA expression of the HSPs in breast cancer, showing their levels in a large dataset. Novel HSPs not previously related with breast cancer have been associated with the evolution of this disease. This comprehensive map addresses the down-regulation and up-regulation of the HSP family member according to the breast cancer molecular subtypes.