Identification of New Prognostic Markers for Breast Cancer.

Following a diagnosis of breast cancer, the most immediate challenges in patient management are the determination of prognosis and the identification of the most appropriate neoadjuvant and adjuvant systemic therapy. Indicators to assess the risk of relapse or metastasis during treatment are still largely insufficient, a situation which does not allow to precisely adjust the treatment, often leading to heavy side effects. In order to minimize the side effects and risks of therapies, it is therefore necessary to discover new markers which would enable us to reliably assess the prognosis of patients diagnosed with breast cancer. The approach used here for discovering new prognostic markers is based on an original strategy developed by the researchers associated with this project and published in the respective contexts of lung cancer, acute lymphoblastic leukemia and lymphoma. Indeed, genetic abnormalities and deregulation of the systems controlling the expression of specific gene programs not only lead to the abnormal extinction of normally active genes, but is also responsible for the aberrant activation of genes that normally should remain silent. The investigators have recently demonstrated that any type of malignancy is associated with the ectopic expression of these normally silent genes, including genes of the male germline. The in-depth study of these aberrant gene expressions and the search for correlations and associations with the clinical and biological data of the tumors show that the expression of some of these genes and the presence of their products are good indicators of tumor aggressiveness. The investigators propose here to apply the same approach for the search for new prognostic markers in the case of breast cancer. A prior analysis of breast tumors, of which transcriptome data are publicly available, has identified a number of tissue-specific genes, including the germline and placenta genes, frequently activated in breast cancer. Based on our past observations, our hypothesis is that some of them may directly reflect the level of tumor aggressiveness and could therefore be used as prognostic biomarkers. The objective of this work will be to look for the prognostic value of these genes by using the samples collected in this cohort of patients to detect their activation and to correlate these aberrant activations with the anatomopathological data of the tumor, as well as to the clinico-biological data and patient follow-up.