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Updated: Feb 14, 2026

Orthotopic Mouse Model of Colorectal Cancer
Published on: December 4, 2007
Results and challenges of immune checkpoint inhibitors in colorectal cancer
Sheik Emambux1, Gaelle Tachon2,3,4, Audelaure Junca4,5
1a Department of Medical Oncology , Poitiers University Hospital , Poitiers , France.
Introduction:
Colorectal cancer (CRC) is the third most commonly diagnosed cancer worldwide and clinical outcome has improved substantially during the last two decades with targeted therapies. The immune system has a major role in cancers, especially the CD8 + T cells specific to tumor antigens. However, tumors can escape immune response by different mechanisms including upregulation of inhibitory immune checkpoint receptors, such as well-known Programmed cell Death protein-1 (PD-1)/Programmed cell Death Ligand 1 (PD-L1) interaction, leading CD8 + T cells to a state of anergy. Immunotherapy, with the so-called immune checkpoint inhibitors (CPIs), has recently been approved in treatment of multiple cancers due to its prolonged disease control and acceptable toxicities. The recent groundbreaking success involving anti-PD-1 CPIs in metastatic CRC with deficient mismatch repair system (dMMR) is promising, with several trials ongoing. Major challenges are ahead in order to determine how, when and for which patients we should use these CPIs in CRC.
Areas Covered:
This review highlights some promises and challenges concerning personalized immunotherapy in CRC. First results and ongoing breakthrough trials are presented. The crucial role of biomarkers in selecting patient is also discussed.
Expert Opinion:
As of now, dMMR and POLE mutations (DNA polymerase ε) with ultramutator phenotype are the most powerful predictive biomarkers of CPI efficacy. The most challenging issue is pMMR mCRC and determination of how to convert a 'nonimmunogenic' neoplasm into an 'immunogenic' neoplasm, a combination of CPIs with radiation or MEK inhibitor probably being the most relevant strategy. Next-generation sequencing (NGS) assays to quantify mutational load could be more reliable predictive biomarkers of CPIs efficacy than PD-L1 expression or immune scores.
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