AI Article Synopsis
- Immunotherapy, particularly immune checkpoint inhibitors, is evolving towards precision medicine, but its effectiveness in treating digestive system cancers is still limited.
- There’s a crucial need to develop biomarkers that can predict how well patients will respond to immunotherapy, especially given the potential side effects and high costs.
- The article reviews various biomarkers, like PD-L1 expression and tumor mutation burden, and suggests that creating dynamic personalized prediction models using these biomarkers could enhance future research in this field.
Article Abstract
Immunotherapy represented by immune checkpoint inhibitors has gradually entered a new era of precision medicine. In view of the limited clinical benefits of immunotherapy in patients with digestive system cancers, as well as the side-effects and high treatment costs, development of biomarkers to predict the efficacy of immune therapy is a key imperative. In this article, we review the available evidence of the value of microsatellite mismatch repair, tumor mutation burden, specific mutated genes or pathways, PD-L1 expression, immune-related adverse reactions, blood biomarkers, and patient-related biomarkers in predicting the efficacy of immunotherapy against digestive system cancers. Establishment of dynamic personalized prediction models based on multiple biomarkers is a promising area for future research.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9043345 | PMC |
| http://dx.doi.org/10.3389/fimmu.2022.810539 | DOI Listing |
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