Pan cancer deep learning model for predicting outcome of cancer

Principal Investigator

Name
Andreas Kleppe

Degrees
Ph.D.

Institution
Institute for Cancer Genetics and Infomatics, Oslo University Hospital

Position Title
Senior researcher

Email
andrekle@ifi.uio.no

About this CDAS Project

Study
PLCO (Learn more about this study)

Project ID
PLCOI-1639

Initial CDAS Request Approval
Aug 15, 2024

Title
Pan cancer deep learning model for predicting outcome of cancer

Summary
In this project, we (Institute for Cancer Genetics and Informatics, Oslo University Hospital) intend to utilise deep learning to for prediction of patient outcome directly from scanned conventional haematoxylin and eosin (H&E) stained sections. We have successfully developed such a biomarker for patients resected for early-stage colorectal cancer and published our findings in The Lancet in 2020 (https://doi.org/10.1016/S0140-6736(19)32998-8). The marker was validated in an external cohort according to a pre-specified protocol and performed better than most other markers in terms of hazard ratios in stage-specific multivariable analyses. We now seek datasets to further validate our marker and to be able to develop a pan cancer marker and wish to gain access to The Prostate, Lung, Colorectal and Ovarian (PLCO) Pathology Images with associated data, in particular clinical, pathological and follow-up data. The ultimate aim of the project is to provide the clinic with an objective, automatic and low-cost tool that can enable clinicians and patients to make joint and more informed decisions on treatment options.

Aims

The ultimate aim of the project is to provide the clinic with an objective, automatic and low-cost tool that can enable clinicians and patients to make joint and more informed decisions on treatment options.

Collaborators

Andreas Kleppe (principal investigator), Tarjei S. Hveem, Hanne A. Askautrud, Wanja Kildal, Manohar Pradhan, Ole Johan Skrede, Anthony Manet, Audun Henriksen, Joakim Kalsnes. All at Institute for cancer genetics and infomatics, Oslo University Hospital, Oslo, Norway