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2023 World Conference on Lung Cancer (Posters)
P1.21. DOT1L Mutations as a Potential Predictor fo ...
P1.21. DOT1L Mutations as a Potential Predictor for Immune Checkpoint Inhibitor Efficacy in Non-Small-Cell Lung Cancer - PDF(Slides)
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Researchers have identified a potential biomarker that may help predict the efficacy of immune checkpoint inhibitors (ICIs) in the treatment of non-small-cell lung cancer (NSCLC). PD-L1 and tumor mutation burden have limited predictive value, so there is a need for alternative biomarkers to identify patients who would benefit from immunotherapy.<br /><br />The study found that patients with DOT1L mutations, which were present in 3.6% of NSCLC cases, had a better clinical response to ICI treatment. This was supported by both short-term and overall survival outcomes. The lower expression of immunosuppressive genes in DOT1L-mutated NSCLC may explain the favorable clinical outcome observed in these patients.<br /><br />The research involved a total of 393 stage III/IV NSCLC patients, including 379 patients without DOT1L mutations and 14 patients with DOT1L mutations. Three independent external cohorts with genomic, transcriptomic, and survival data were also studied to establish the clinical relevance of DOT1L mutations.<br /><br />The results suggest that baseline DOT1L mutations could be used as a predictor for the effectiveness of ICIs in NSCLC patients. This information could help in selecting the most appropriate patients for immunotherapy, potentially improving treatment outcomes and minimizing unnecessary treatments for patients who may not benefit from ICIs.<br /><br />Overall, this study provides evidence for the potential use of DOT1L mutations as a predictive biomarker for ICI efficacy in NSCLC. Further research and validation are needed to confirm these findings and to determine the clinical implications of using DOT1L mutations as a predictive marker in the selection of patients for immunotherapy.
Asset Subtitle
Yang Shao
Meta Tag
Speaker
Yang Shao
Topic
Pathology & Biomarkers: Biomarkers for Immuno-oncology
Keywords
biomarker
immune checkpoint inhibitors
non-small-cell lung cancer
NSCLC
PD-L1
tumor mutation burden
DOT1L mutations
immunotherapy
clinical response
predictive marker
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