Computational pathology of pre-treatment biopsies identifies lymphocyte density as a predictor of response to neoadjuvant chemotherapy in breast cancer

Conclusions:
A data-driven analysis of computational pathology reveals lymphocyte density as an independent predictor of pCR. Paradoxically an increase in lymphocyte density, following exposure to chemotherapy, is associated with a lack of pCR. Computational pathology can provide objective, quantitative and reproducible tissue metrics and represents a viable means of outcome prediction in breast cancer.Trial registrationClinicalTrials.gov NCT00070278; 03/10/2003

Source: Breast Cancer Research - February 16, 2016 Category: Cancer & Oncology Authors: H. AliAliakbar DariushElena ProvenzanoHelen BardwellJean AbrahamMahesh IddawelaAnne-Laure VallierLouise HillerJanet. DunnSarah BowdenTamas HickishKaren McAdamStephen HoustonMike IrwinPaul PharoahJames BrentonNicholas WaltonHelena EarlCarlos Caldas Source Type: research