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 - 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
More News: Breast Cancer | Cancer | Cancer & Oncology | Chemotherapy | Learning | Neoadjuvant Chemotherapy Therapy | Neoadjuvant Therapy | Pathology | Universities & Medical Training | Women