Article ; Online: Advancing translational research for colorectal immuno-oncology.
2023 Volume 129, Issue 9, Page(s) 1442–1450
Abstract: Colorectal cancer (CRC) is a common and deadly disease. Unfortunately, immune checkpoint inhibitors (ICIs) fail to elicit effective anti-tumour responses in the vast majority of CRC patients. Patients that are most likely to respond are those with DNA ... ...
Abstract | Colorectal cancer (CRC) is a common and deadly disease. Unfortunately, immune checkpoint inhibitors (ICIs) fail to elicit effective anti-tumour responses in the vast majority of CRC patients. Patients that are most likely to respond are those with DNA mismatch repair deficient (dMMR) and microsatellite instability (MSI) disease. However, reliable predictors of ICI response are lacking, even within the dMMR/MSI subtype. This, together with identification of novel mechanisms to increase response rates and prevent resistance, are ongoing and vitally important unmet needs. To address the current challenges with translation of early research findings into effective therapeutic strategies, this review summarises the present state of preclinical testing used to inform the development of immuno-regulatory treatment strategies for CRC. The shortfalls and advantages of commonly utilised mouse models of CRC, including chemically induced, transplant and transgenic approaches are highlighted. Appropriate use of existing models, incorporation of patient-derived data and development of cutting-edge models that recapitulate important features of human disease will be key to accelerating clinically relevant research in this area. |
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MeSH term(s) | Animals ; Mice ; Humans ; Translational Research, Biomedical ; Medical Oncology ; Brain Neoplasms ; Colorectal Neoplasms ; Microsatellite Instability ; DNA Mismatch Repair |
Language | English |
Publishing date | 2023-08-10 |
Publishing country | England |
Document type | Journal Article ; Review ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't |
ZDB-ID | 80075-2 |
ISSN | 1532-1827 ; 0007-0920 |
ISSN (online) | 1532-1827 |
ISSN | 0007-0920 |
DOI | 10.1038/s41416-023-02392-x |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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