Mayo Clinic study shows AI may improve prediction of colorectal cancer 

August 2022

In a multinational study led by a Mayo Clinic research team using artificial intelligence (AI), investigators developed an algorithm to improve the prediction of colorectal cancer recurrence.

Excluding skin cancers, colorectal cancer is the third most common cancer diagnosed in the U.S., according to the American Cancer Society.

Rish Pai, M.D., Ph.D., a pathologist at Mayo Clinic in Arizona and senior author, developed QuantCRC, a deep-learning segmentation algorithm, to identify different regions within tumors using nearly 6,500 digital slide images.

Mayo Clinic researchers apply an AI algorithm to a digitized image of colorectal cancer highlighting different regions within the tumor.

The investigators used biospecimens of colorectal cancers from the Colon Cancer Family Registry participating locations in Australia, Canada and the U.S., including Mayo Clinic, to make up the internal training cohort. They validated the results with an external cohort of locations not participating in the Colon Cancer Family Registry in Canada and the U.S.

“The large number of tumors that we analyzed allowed us to learn which features were most predictive of tumor behavior. We can now apply what we have learned to new colon cancers to predict how the tumor will behave.” says Dr. Pai.

For example, the algorithm can identify a subset of patients who may not need to receive chemotherapy, given the low probability of recurrence. It also can help identify those patients at high risk of recurrence that may benefit from more intensive treatment or follow-up.

Dr. Pai says he hopes this study will be of value to patients with colon cancer, pathologists who look at colon cancer specimens, and oncologists who treat colon cancer. 

“For patients with colon cancer, the algorithm gives oncologists another tool to help guide therapy and follow-up,” says Dr. Pai.

The team of researchers from Australia, Canada and the U.S. concluded that QuantCRC provides a powerful addition to routine pathologic reporting of colorectal cancer. A prognostic model using QuantCRC could improve prediction of recurrence-free survival.

As a next step in his research, Dr. Pai says he plans to use QuantCRC to better understand mechanisms of tumor recurrence and see if it can predict the response to certain treatments, like immunotherapy.

Funding for this study was provided in part by the Colon Cancer Family Registry, which is supported in part by funding from the National Cancer Institute and National Institutes of Health (U01 CA167551).

In addition to Dr. Pai, other Mayo Clinic authors are Imon Banerjee, Ph.D.; Noralane Lindor M.D.Bhavik Patel, M.D.; and Niloy Jewel Samadder, M.D.

For the full author list, disclosure information and a complete list of those who funded the study, see the paper.