Probabilistic graphical models relate immune status with response to neoadjuvant chemotherapy in breast cancer.

ABSTRACT: Breast cancer is the most frequent tumor in women and its incidence is increasing. Neoadjuvant chemotherapy has become standard of care as a complement to surgery in locally advanced or poor-prognosis early stage disease. The achievement of a complete response to neoadjuvant chemotherapy correlates with prognosis but it is not possible to predict who will obtain an excellent response. The molecular analysis of the tumor offers a unique opportunity to unveil predictive factors. In this work, gene expression profiling in 279 tumor samples from patients receiving neoadjuvant chemotherapy was performed and probabilistic graphical models were used. This approach enables addressing biological and clinical questions from a Systems Biology perspective, allowing to deal with large gene expression d

SUBMITTER: Zapater-Moros A 

PROVIDER: S-EPMC6021258 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature