Artificial intelligence–driven microsatellite instability profiling reveals distinctive genetic features in patients with lung cancer
MSI/dMMR in lung cancer is exceedingly rare, affecting less than 1% of cases. NGS-based analysis combined with bioinformatics tools provides a robust method to identify MSI/dMMR patients, potentially guiding immunotherapy decisions. This comprehensive approach integrates molecular genotyping and MSI detection, offering personalized treatment options for lung cancer patients. NGS-based MSI testing is emerging as the preferred method for detecting microsatellite instability in various tumor types, including rare cancers.
Authors
- Xavier Quantin (ORCID: https://orcid.org/0000-0002-5403-3612)
- Julie A. Vendrell (ORCID: https://orcid.org/0000-0002-2071-6634)
- Jérôme Solassol (ORCID: https://orcid.org/0000-0002-0293-6158)
- Quentin Dominique Thomas (ORCID: https://orcid.org/0000-0001-9516-9797)
- Simon Cabello‐Aguilar (ORCID: https://orcid.org/0000-0002-2904-7430)
- Lakhdar Khellaf (ORCID: https://orcid.org/0000-0001-7107-3280)
- Sarah Cavaillon
Institutions
- Université de Montpellier (FR)
- Centre Hospitalier Universitaire de Montpellier (FR)
- Institut de Recherche en Cancérologie de Montpellier (FR)
Publication Details
- Journal
- Cancer
- Published
- 2025-04-29
- DOI
- https://doi.org/10.1002/cncr.35882
- Citations
- 4
- Primary Topic
- Genetic factors in colorectal cancer
- Type
- article
- Field-Weighted Citation Impact
- 5.89