Fundacao D. Anna Sommer Champalimaud E Dr. Carlos Montez Champalimaud

Fundação D. Anna De Sommer Champalimaud E Dr. Carlos Montez Champalimaud

Ricardo Mesa-Tejada

Carlos Cordon-Cardo

Gerardo Fernandez

Michael Donovan

Faisal Khan

Jose Costa

Carlos Cardon-Cardo

Stefan Hamann

Yevgen Vengrenyuk

Ali Tabesh

Jason Alter

Douglas Powell

Valentina Bayer Zubek

Stephen Fogarasi

Douglas A Powell

Clinical information, molecular information and/or computer-generated morphometric information is used in a predictive model for predicting the occurrence of a medical condition. In an embodiment, a model predicts risk of prostate cancer progression in a patient, where the model is based on features including one or more (e.g., all) of preoperative PSA, dominant Gleason Grade, Gleason Score, at least one of a measurement of expression of AR in epithelial and stromal nuclei and a measurement of expression of Ki67-positive epithelial nuclei, a morphometric measurement of average edge length in the minimum spanning tree (MST) of epithelial nuclei, and a morphometric measurement of area of non-lumen associated epithelial cells relative to total tumor area. In some embodiments, the morphometric information is based on image analysis of tissue subject to multiplex immunofluorescence and may include characteristic(s) of a minimum spanning tree (MST) and/or a fractal dimension observed in the images.

Method and system for determining the risk of occurrence of prostate cancer

Clinical information, molecular information and/or computer-generated morphometric information is used in a predictive model for predicting the occurrence of a medical condition. In an embodiment, a model predicts whether a patient is likely to have a favorable pathological stage of prostate cancer, where the model is based on features including one or more (e.g., all) of preoperative PSA, Gleason Score, a measurement of expression of androgen receptor (AR) in epithelial and stromal nuclei and/or a measurement of expression of Ki67-positive epithelial nuclei, a morphometric measurement of a ratio of area of epithelial nuclei outside gland units to area of epithelial nuclei within gland units, and a morphometric measurement of area of epithelial nuclei distributed away from gland units. In some embodiments, quantitative measurements of protein expression in cell lines are utilized to objectively assess assay (e.g., multiplex immunofluorescence (IF)) performance and/or to normalize features for use within a predictive model.

System for evaluating a pathological stage of prostate cancer

Growing community of inventors

Pleasantville, NY, United States of America

Ricardo Mesa-Tejada