FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4383313483> ?p ?o ?g. }

• W4383313483 abstract "Background Personalized targeted therapies have transformed management of several solid tumors. Timely and accurate detection of clinically relevant genetic variants in tumor is central to the implementation of molecular targeted therapies. To facilitate precise molecular testing in solid tumors, targeted next-generation sequencing (NGS) assays have emerged as a valuable tool. In this study, we provide an overview of the technical validation, diagnostic yields, and spectrum of variants observed in 3,164 solid tumor samples that were tested as part of the standard clinical diagnostic assessment in an academic healthcare institution over a period of 2 years. Methods The Ion Ampliseq™ Cancer Hotspot Panel v2 assay (ThermoFisher) that targets ~2,800 COSMIC mutations from 50 oncogenes and tumor suppressor genes was validated, and a total of 3,164 tumor DNA samples were tested in 2 years. A total of 500 tumor samples were tested by the comprehensive panel containing all the 50 genes. Other samples, including 1,375 lung cancer, 692 colon cancer, 462 melanoma, and 135 brain cancer, were tested by tumor-specific targeted subpanels including a few clinically actionable genes. Results Of 3,164 patient samples, 2,016 (63.7%) tested positive for at least one clinically relevant variant. Of 500 samples tested by a comprehensive panel, 290 had a clinically relevant variant with TP53, KRAS, and PIK3CA being the most frequently mutated genes. The diagnostic yields in major tumor types were as follows: breast (58.4%), colorectal (77.6%), lung (60.4%), pancreatic (84.6%), endometrial (72.4%), ovary (57.1%), and thyroid (73.9%). Tumor-specific targeted subpanels also demonstrated high diagnostic yields: lung (69%), colon (61.2%), melanoma (69.7%), and brain (20.7%). Co-occurrence of mutations in more than one gene was frequently observed. Conclusions The findings of our study demonstrate the feasibility of integrating an NGS-based gene panel screen as part of a standard diagnostic protocol for solid tumor assessment. High diagnostic rates enable significant clinical impact including improved diagnosis, prognosis, and clinical management in patients with solid tumors." @default.
• W4383313483 created "2023-07-07" @default.
• W4383313483 creator A5002861360 @default.
• W4383313483 creator A5009558205 @default.
• W4383313483 creator A5013815520 @default.
• W4383313483 creator A5039811588 @default.
• W4383313483 creator A5042137756 @default.
• W4383313483 creator A5047369065 @default.
• W4383313483 creator A5048794148 @default.
• W4383313483 creator A5058914453 @default.
• W4383313483 creator A5066583133 @default.
• W4383313483 creator A5067457495 @default.
• W4383313483 creator A5074581885 @default.
• W4383313483 creator A5077992370 @default.
• W4383313483 creator A5086356823 @default.
• W4383313483 creator A5089229108 @default.
• W4383313483 date "2023-07-06" @default.
• W4383313483 modified "2023-10-14" @default.
• W4383313483 title "Molecular profiling of solid tumors by next-generation sequencing: an experience from a clinical laboratory" @default.
• W4383313483 cites W1602160127 @default.
• W4383313483 cites W1826483772 @default.
• W4383313483 cites W1911329982 @default.
• W4383313483 cites W2029995169 @default.
• W4383313483 cites W2040827479 @default.
• W4383313483 cites W2065724069 @default.
• W4383313483 cites W2079056329 @default.
• W4383313483 cites W2305475210 @default.
• W4383313483 cites W2375577403 @default.
• W4383313483 cites W2508072117 @default.
• W4383313483 cites W2532033714 @default.
• W4383313483 cites W2566723262 @default.
• W4383313483 cites W2593003080 @default.
• W4383313483 cites W2629851442 @default.
• W4383313483 cites W2766581537 @default.
• W4383313483 cites W2786945112 @default.
• W4383313483 cites W2793707558 @default.
• W4383313483 cites W2810475801 @default.
• W4383313483 cites W2889957730 @default.
• W4383313483 cites W2892334526 @default.
• W4383313483 cites W2906754611 @default.
• W4383313483 cites W2926889053 @default.
• W4383313483 cites W2945564879 @default.
• W4383313483 cites W2945616121 @default.
• W4383313483 cites W2969876541 @default.
• W4383313483 cites W2970556183 @default.
• W4383313483 cites W2976551368 @default.
• W4383313483 cites W2986300911 @default.
• W4383313483 cites W2997415922 @default.
• W4383313483 cites W3003574401 @default.
• W4383313483 cites W3011481749 @default.
• W4383313483 cites W3016720073 @default.
• W4383313483 cites W3020500179 @default.
• W4383313483 cites W3035123198 @default.
• W4383313483 cites W3039385984 @default.
• W4383313483 cites W3043936825 @default.
• W4383313483 cites W3094182930 @default.
• W4383313483 cites W3111501155 @default.
• W4383313483 cites W3120155456 @default.
• W4383313483 cites W3132199378 @default.
• W4383313483 cites W3134887329 @default.
• W4383313483 cites W3135105663 @default.
• W4383313483 cites W3155880520 @default.
• W4383313483 cites W3166931152 @default.
• W4383313483 cites W3167959356 @default.
• W4383313483 cites W3174246647 @default.
• W4383313483 cites W3201219318 @default.
• W4383313483 cites W3214907506 @default.
• W4383313483 cites W3216951708 @default.
• W4383313483 cites W4205815974 @default.
• W4383313483 cites W4206251028 @default.
• W4383313483 cites W4225325634 @default.
• W4383313483 cites W4282974970 @default.
• W4383313483 cites W4285719527 @default.
• W4383313483 cites W4292263923 @default.
• W4383313483 cites W4294219244 @default.
• W4383313483 cites W4297329383 @default.
• W4383313483 cites W4304688369 @default.
• W4383313483 cites W4318707256 @default.
• W4383313483 cites W4376629867 @default.
• W4383313483 doi "https://doi.org/10.3389/fonc.2023.1208244" @default.
• W4383313483 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37483495" @default.
• W4383313483 hasPublicationYear "2023" @default.
• W4383313483 type Work @default.
• W4383313483 citedByCount "0" @default.
• W4383313483 crossrefType "journal-article" @default.
• W4383313483 hasAuthorship W4383313483A5002861360 @default.
• W4383313483 hasAuthorship W4383313483A5009558205 @default.
• W4383313483 hasAuthorship W4383313483A5013815520 @default.
• W4383313483 hasAuthorship W4383313483A5039811588 @default.
• W4383313483 hasAuthorship W4383313483A5042137756 @default.
• W4383313483 hasAuthorship W4383313483A5047369065 @default.
• W4383313483 hasAuthorship W4383313483A5048794148 @default.
• W4383313483 hasAuthorship W4383313483A5058914453 @default.
• W4383313483 hasAuthorship W4383313483A5066583133 @default.
• W4383313483 hasAuthorship W4383313483A5067457495 @default.
• W4383313483 hasAuthorship W4383313483A5074581885 @default.
• W4383313483 hasAuthorship W4383313483A5077992370 @default.
• W4383313483 hasAuthorship W4383313483A5086356823 @default.
• W4383313483 hasAuthorship W4383313483A5089229108 @default.
• W4383313483 hasBestOaLocation W43833134831 @default.

• next