Role of AI and digital pathology for colorectal immuno-oncology.

Br J Cancer

Tissue Image Analytics Centre, Department of Computer Science, University of Warwick, Coventry, UK.

Published: January 2023

AI Article Synopsis

  • Immunotherapy aims to treat tumors using the body's immune system, with recent advancements focusing on colorectal cancer (CRC) and the integration of artificial intelligence (AI) to improve diagnosis and treatment.
  • The status of microsatellite instability (MSI) plays a crucial role in patient management and immune response, with AI being used to predict MSI status from digital images of tissue samples.
  • The paper reviews the current literature on AI in predicting MSI and tumor mutations, discusses various biomarkers, and highlights future research directions to enhance immunotherapy outcomes for CRC patients.

Article Abstract

Immunotherapy deals with therapeutic interventions to arrest the progression of tumours using the immune system. These include checkpoint inhibitors, T-cell manipulation, cytokines, oncolytic viruses and tumour vaccines. In this paper, we present a survey of the latest developments on immunotherapy in colorectal cancer (CRC) and the role of artificial intelligence (AI) in this context. Among these, microsatellite instability (MSI) is perhaps the most popular IO biomarker globally. We first discuss the MSI status of tumours, its implications for patient management, and its relationship to immune response. In recent years, several aspiring studies have used AI to predict the MSI status of patients from digital whole-slide images (WSIs) of routine diagnostic slides. We present a survey of AI literature on the prediction of MSI and tumour mutation burden from digitised WSIs of haematoxylin and eosin-stained diagnostic slides. We discuss AI approaches in detail and elaborate their contributions, limitations and key takeaways to drive future research. We further expand this survey to other IO-related biomarkers like immune cell infiltrates and alternate data modalities like immunohistochemistry and gene expression. Finally, we underline possible future directions in immunotherapy for CRC and promise of AI to accelerate this exploration for patient benefits.

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Source
http://dx.doi.org/10.1038/s41416-022-01986-1DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9814831PMC

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