Predicting response to neoadjuvant chemoradiotherapy in rectal cancer: from biomarkers to tumor models

Author:

Li Moying1,Xiao Qiyun2,Venkatachalam Nachiyappan2,Hofheinz Ralf-Dieter3,Veldwijk Marlon R.4,Herskind Carsten4,Ebert Matthias P.5,Zhan Tianzuo6

Affiliation:

1. Medical Faculty Mannheim, Heidelberg University, Mannheim

2. Department of Medicine II, Mannheim University Hospital, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany

3. Department of Medicine III, Mannheim University Hospital, Medical Faculty Mannheim, Heidelberg University, Mannheim, GermanyMannheim Cancer Center, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany

4. Department of Radiation Oncology, Mannheim University Hospital, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany

5. Department of Medicine II, Mannheim University Hospital, Medical Faculty Mannheim, Heidelberg University, Mannheim, GermanyMannheim Cancer Center, Medical Faculty Mannheim, Heidelberg University, Mannheim, GermanyDKFZ-Hector Cancer Institute, University Medical Center Mannheim, Mannheim, Germany

6. Department of Internal Medicine II, Mannheim University Hospital, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, D-68167 Mannheim, GermanyMannheim Cancer Center, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany

Abstract

Colorectal cancer (CRC) is a major contributor to cancer-associated morbidity worldwide and over one-third of CRC is located in the rectum. Neoadjuvant chemoradiotherapy (nCRT) followed by surgical resection is commonly applied to treat locally advanced rectal cancer (LARC). In this review, we summarize current and novel concepts of neoadjuvant therapy for LARC such as total neoadjuvant therapy and describe how these developments impact treatment response. Moreover, as response to nCRT is highly divergent in rectal cancers, we discuss the role of potential predictive biomarkers. We review recent advances in biomarker discovery, from a clinical as well as a histopathological and molecular perspective. Furthermore, the role of emerging predictive biomarkers derived from the tumor environment such as immune cell composition and gut microbiome is presented. Finally, we describe how different tumor models such as patient-derived cancer organoids are used to identify novel predictive biomarkers for chemoradiotherapy (CRT) in rectal cancer.

Funder

Interfaces and Interventions in Chronic Complex Conditions

Chinese Scholarship Council

DFG

Publisher

SAGE Publications

Subject

Oncology

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