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Abstract 5737: Precision oncology driven real world clinical genomics data mining of MET alterations, TMB, and PDL-1 to empower indication agnostic patient enrollment and combination strategies
Background: Following MET inhibitor and checkpoint inhibitor approvals, it is essential to identify cancer indications that harbor molecular alterations of interest and a thorough real-world molecular genomics based characterization of those tumors would allow to expand cancer specific indications t...
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Published in: | Cancer research (Chicago, Ill.) Ill.), 2022-06, Vol.82 (12_Supplement), p.5737-5737 |
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Main Authors: | , , , , , , , , , |
Format: | Article |
Language: | English |
Citations: | Items that cite this one |
Online Access: | Get full text |
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Summary: | Background: Following MET inhibitor and checkpoint inhibitor approvals, it is essential to identify cancer indications that harbor molecular alterations of interest and a thorough real-world molecular genomics based characterization of those tumors would allow to expand cancer specific indications that might benefit from MET and checkpoint inhibitors and shed light on exploring clinically efficacious combo strategies. Importantly, such an approach provides the end-to-end solutions that shall significantly contribute to clinical translation and/or back translation strategies for innovative cancer therapies.
Methods: We systemically interrogated FoundationInsights®, a dataset of real-world molecular genomic tumor profiling from North American patients, and investigated the prevalence of MET amplifications, METex14 skipping and MET fusions prevalence in 62110 unique patient samples across five indications (lung adenocarcinoma [LUAD], esophageal/gastroesophageal-junction/stomach adenocarcinoma [Eso/GEJ/Sto], papillary renal cell carcinoma, hepatocellular carcinoma [HCC] and glioblastoma). MET alteration prevalence was further categorized based on tumor cell PD-L1 IHC status (22C3 pharmDx) and TMB status. Additionally, comprehensive text mining from clinicaltrials.gov and landscape overview were conducted.
Results: MET amplification was the most frequent MET alteration examined with a prevalence ranging from 1.4% in HCC to 4.8% in Eso/GEJ/Sto. In HCC and LUAD, MET amplification prevalence was higher in tumors with high TMB (≥10 mutations/megabase, P |
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ISSN: | 1538-7445 1538-7445 |
DOI: | 10.1158/1538-7445.AM2022-5737 |