{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T06:13:18Z","timestamp":1769926398991,"version":"3.49.0"},"reference-count":22,"publisher":"Wiley","issue":"15","license":[{"start":{"date-parts":[[2023,4,25]],"date-time":"2023-04-25T00:00:00Z","timestamp":1682380800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["acsjournals.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Cancer"],"published-print":{"date-parts":[[2023,8]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>DNA\u2010based next\u2010generation sequencing has been widely used in the selection of target therapies for patients with nonsmall cell lung cancer (NSCLC). RNA\u2010based next\u2010generation sequencing has been proven to be valuable in detecting fusion and exon\u2010skipping mutations and is recommended by National Comprehensive Cancer Network guidelines for these mutation types.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>The authors developed an RNA\u2010based hybridization panel targeting actionable driver oncogenes in solid tumors. Experimental and bioinformatics pipelines were optimized for the detection of fusions, single\u2010nucleotide variants (SNVs), and insertion\/deletion (indels). In total, 1253 formalin\u2010fixed, paraffin\u2010embedded samples from patients with NSCLC were analyzed by DNA and RNA panel sequencing in parallel to assess the performance of the RNA panel in detecting multiple types of mutations.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>In analytical validation, the RNA panel achieved a limit of detection of 1.45\u20133.15 copies per nanogram for SNVs and 0.21\u20136.48 copies per nanogram for fusions. In 1253 formalin\u2010fixed, paraffin\u2010embedded NSCLC samples, the RNA panel identified a total of 124 fusion events and 26 <jats:italic>MET<\/jats:italic> exon 14\u2010skipping events, in which 14 fusions and six <jats:italic>MET<\/jats:italic> exon 14\u2010skipping mutations were missed by DNA panel sequencing. By using the DNA panel as the reference, the positive percent agreement and the positive predictive value of the RNA panel were 98.08% and 98.62%, respectively, for detecting targetable SNVs and 98.15% and 99.38%, respectively, for detecting targetable indels.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Parallel DNA and RNA sequencing analyses demonstrated the accuracy and robustness of the RNA sequencing panel in detecting multiple types of clinically actionable mutations. The simplified experimental workflow and low sample consumption will make RNA panel sequencing a potentially effective method in clinical testing.<\/jats:p><\/jats:sec>","DOI":"10.1002\/cncr.34804","type":"journal-article","created":{"date-parts":[[2023,4,25]],"date-time":"2023-04-25T06:44:15Z","timestamp":1682405055000},"page":"2422-2430","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Detection of multiple types of cancer driver mutations using targeted RNA sequencing in non\u2013small cell lung cancer"],"prefix":"10.1002","volume":"129","author":[{"given":"Sheng","family":"Ju","sequence":"first","affiliation":[{"name":"Department of Thoracic Surgery The First Affiliated Hospital of Soochow University Medical College of Soochow University  Suzhou China"},{"name":"Institute of Thoracic Surgery The First Affiliated Hospital of Soochow University  Suzhou 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