Matches in SemOpenAlex for { <https://semopenalex.org/work/W3107432893> ?p ?o ?g. }
- W3107432893 endingPage "363" @default.
- W3107432893 startingPage "350" @default.
- W3107432893 abstract "MET inhibitors have shown activity in non-small-cell lung cancer patients (NSCLC) with MET amplification and exon 14 skipping (METΔex14). However, patient stratification is imperfect, and thus, response rates have varied widely. Here, we studied MET alterations in 474 advanced NSCLC patients by nCounter, an RNA-based technique, together with next-generation sequencing (NGS), fluorescence in situ hybridization (FISH), immunohistochemistry (IHC), and reverse transcriptase polymerase chain reaction (RT–PCR), exploring correlation with clinical benefit. Of the 474 samples analyzed, 422 (89%) yielded valid results by nCounter, which identified 13 patients (3%) with METΔex14 and 15 patients (3.5%) with very-high MET mRNA expression. These two subgroups were mutually exclusive, displayed distinct phenotypes and did not generally coexist with other drivers. For METΔex14, 3/8 (37.5%) samples positive by nCounter tested negative by NGS. Regarding patients with very-high MET mRNA, 92% had MET amplification by FISH and/or NGS. However, FISH failed to identify three patients (30%) with very-high MET RNA expression, among which one received MET tyrosine kinase inhibitor treatment deriving clinical benefit. Our results indicate that quantitative mRNA-based techniques can improve the selection of patients for MET-targeted therapies." @default.
- W3107432893 created "2020-12-07" @default.
- W3107432893 creator A5004420003 @default.
- W3107432893 creator A5009672418 @default.
- W3107432893 creator A5014562759 @default.
- W3107432893 creator A5023258780 @default.
- W3107432893 creator A5029140865 @default.
- W3107432893 creator A5032923308 @default.
- W3107432893 creator A5033765620 @default.
- W3107432893 creator A5035229884 @default.
- W3107432893 creator A5036469551 @default.
- W3107432893 creator A5040541281 @default.
- W3107432893 creator A5044887899 @default.
- W3107432893 creator A5046901406 @default.
- W3107432893 creator A5049983097 @default.
- W3107432893 creator A5052138653 @default.
- W3107432893 creator A5054348151 @default.
- W3107432893 creator A5056676096 @default.
- W3107432893 creator A5062768383 @default.
- W3107432893 creator A5064234791 @default.
- W3107432893 creator A5066491761 @default.
- W3107432893 creator A5070962839 @default.
- W3107432893 creator A5071235015 @default.
- W3107432893 creator A5071473018 @default.
- W3107432893 creator A5071798228 @default.
- W3107432893 creator A5072143967 @default.
- W3107432893 creator A5074955194 @default.
- W3107432893 creator A5075497438 @default.
- W3107432893 creator A5084676495 @default.
- W3107432893 creator A5087391532 @default.
- W3107432893 creator A5087651773 @default.
- W3107432893 creator A5089070091 @default.
- W3107432893 creator A5089513581 @default.
- W3107432893 creator A5089948657 @default.
- W3107432893 date "2020-12-07" @default.
- W3107432893 modified "2023-10-18" @default.
- W3107432893 title "Multiplex RNA‐based detection of clinically relevant <i>MET</i> alterations in advanced non‐small cell lung cancer" @default.
- W3107432893 cites W1500311003 @default.
- W3107432893 cites W2022389648 @default.
- W3107432893 cites W2095317156 @default.
- W3107432893 cites W2110082176 @default.
- W3107432893 cites W2110540279 @default.
- W3107432893 cites W2118411662 @default.
- W3107432893 cites W2121262970 @default.
- W3107432893 cites W2160212814 @default.
- W3107432893 cites W2169624569 @default.
- W3107432893 cites W2219125393 @default.
- W3107432893 cites W2230948985 @default.
- W3107432893 cites W2272081149 @default.
- W3107432893 cites W2288337573 @default.
- W3107432893 cites W2409552123 @default.
- W3107432893 cites W2466657922 @default.
- W3107432893 cites W2544185683 @default.
- W3107432893 cites W2568469824 @default.
- W3107432893 cites W2738959174 @default.
- W3107432893 cites W2742525412 @default.
- W3107432893 cites W2789842110 @default.
- W3107432893 cites W2789883645 @default.
- W3107432893 cites W2799994822 @default.
- W3107432893 cites W2804139382 @default.
- W3107432893 cites W2901062444 @default.
- W3107432893 cites W2910070077 @default.
- W3107432893 cites W2941103989 @default.
- W3107432893 cites W2947852198 @default.
- W3107432893 cites W2947924247 @default.
- W3107432893 cites W2952892955 @default.
- W3107432893 cites W2979362143 @default.
- W3107432893 cites W2990298956 @default.
- W3107432893 cites W3000668520 @default.
- W3107432893 cites W3004655782 @default.
- W3107432893 cites W3004905091 @default.
- W3107432893 cites W3013425984 @default.
- W3107432893 cites W3023416658 @default.
- W3107432893 cites W3029529987 @default.
- W3107432893 cites W3029971508 @default.
- W3107432893 cites W3031018272 @default.
- W3107432893 cites W3033982788 @default.
- W3107432893 cites W3035138898 @default.
- W3107432893 cites W3036520267 @default.
- W3107432893 cites W3082015854 @default.
- W3107432893 cites W90465349 @default.
- W3107432893 doi "https://doi.org/10.1002/1878-0261.12861" @default.
- W3107432893 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7858100" @default.
- W3107432893 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/33236532" @default.
- W3107432893 hasPublicationYear "2020" @default.
- W3107432893 type Work @default.
- W3107432893 sameAs 3107432893 @default.
- W3107432893 citedByCount "13" @default.
- W3107432893 countsByYear W31074328932020 @default.
- W3107432893 countsByYear W31074328932021 @default.
- W3107432893 countsByYear W31074328932022 @default.
- W3107432893 countsByYear W31074328932023 @default.
- W3107432893 crossrefType "journal-article" @default.
- W3107432893 hasAuthorship W3107432893A5004420003 @default.
- W3107432893 hasAuthorship W3107432893A5009672418 @default.
- W3107432893 hasAuthorship W3107432893A5014562759 @default.
- W3107432893 hasAuthorship W3107432893A5023258780 @default.
- W3107432893 hasAuthorship W3107432893A5029140865 @default.