Matches in SemOpenAlex for { <https://semopenalex.org/work/W2022832731> ?p ?o ?g. }
Showing items 1 to 97 of
97
with 100 items per page.
- W2022832731 endingPage "2597" @default.
- W2022832731 startingPage "2592" @default.
- W2022832731 abstract "Approximately 30% of fine-needle aspiration (FNA) biopsies of thyroid nodules are indeterminate, nondiagnostic, or suspicious. The purpose of the current study was to determine the accuracy of novel candidate diagnostic markers to distinguish benign from malignant thyroid neoplasms, and to predict the extent of disease.A real-time quantitative reverse-transcriptase polymerase chain reaction (RT-PCR) assay of 6 novel candidate diagnostic and extent of disease marker genes (extracellular matrix protein 1 [ECM1]; transmembrane protease, serine 4 [TMPRSS4]; angiopoietin 2 [ANGPT2]; TIMP metallopeptidase inhibitor 1 [TIMP1]; ephrin-B2 [EFNB2], and epidermal growth factor receptor [EGFR]) was used in 126 thyroid tissues. To evaluate the performance of the scoring model for the diagnostic markers in combination, the area under the receiver operating characteristic (ROC) curve (AUC) was determined.The levels of ECM1, TMPRSS4, ANGPT2, and TIMP1 mRNA expression were found to be independent diagnostic markers of malignant thyroid neoplasms. The AUC for the 4 diagnostic genes in combination was 0.993 with a sensitivity of 100%, a specificity of 94.6%, a positive predictive value of 96.5%, and a negative predictive value of 100%. In 31 thyroid nodule FNA biopsy samples, the scoring model had a sensitivity of 91.0%, a specificity of 95.0%, a positive predictive value of 92.9%, and a negative predictive value of 92.3%. The multigene assay correctly classified 93% of tumors into the correct risk group (low-risk vs. high-risk) with a sensitivity of 78.9% (true positive in high-risk tumors), specificity of 92% (true negative in low-risk tumors), positive predictive value of 87.5%, and negative predictive value of 92%. In 11 malignant thyroid nodule FNA samples, the extent of disease scoring model correctly identified 3 of 4 high-risk differentiated thyroid cancers and 7 of 7 low-risk differentiated thyroid cancers.This novel multigene assay is an excellent diagnostic and extent of disease marker for differentiated thyroid cancer and would be a helpful adjunct to FNA biopsy of thyroid nodules." @default.
- W2022832731 created "2016-06-24" @default.
- W2022832731 creator A5018781014 @default.
- W2022832731 creator A5052385849 @default.
- W2022832731 creator A5069080473 @default.
- W2022832731 creator A5076916905 @default.
- W2022832731 date "2006-01-01" @default.
- W2022832731 modified "2023-10-17" @default.
- W2022832731 title "Diagnostic and extent of disease multigene assay for malignant thyroid neoplasms" @default.
- W2022832731 cites W1224747080 @default.
- W2022832731 cites W1966382204 @default.
- W2022832731 cites W1966715409 @default.
- W2022832731 cites W2009871079 @default.
- W2022832731 cites W2012135655 @default.
- W2022832731 cites W2013299741 @default.
- W2022832731 cites W2022804358 @default.
- W2022832731 cites W2029186213 @default.
- W2022832731 cites W2035453768 @default.
- W2022832731 cites W2035919693 @default.
- W2022832731 cites W2043226535 @default.
- W2022832731 cites W2072673517 @default.
- W2022832731 cites W2079347003 @default.
- W2022832731 cites W2082816650 @default.
- W2022832731 cites W2086442172 @default.
- W2022832731 cites W2105882193 @default.
- W2022832731 cites W2114435736 @default.
- W2022832731 cites W2123621585 @default.
- W2022832731 cites W2144848467 @default.
- W2022832731 cites W2151959940 @default.
- W2022832731 cites W2168402896 @default.
- W2022832731 cites W2288874647 @default.
- W2022832731 cites W2293673968 @default.
- W2022832731 cites W4301895016 @default.
- W2022832731 doi "https://doi.org/10.1002/cncr.21922" @default.
- W2022832731 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/16688775" @default.
- W2022832731 hasPublicationYear "2006" @default.
- W2022832731 type Work @default.
- W2022832731 sameAs 2022832731 @default.
- W2022832731 citedByCount "68" @default.
- W2022832731 countsByYear W20228327312012 @default.
- W2022832731 countsByYear W20228327312013 @default.
- W2022832731 countsByYear W20228327312014 @default.
- W2022832731 countsByYear W20228327312015 @default.
- W2022832731 countsByYear W20228327312016 @default.
- W2022832731 countsByYear W20228327312017 @default.
- W2022832731 countsByYear W20228327312018 @default.
- W2022832731 countsByYear W20228327312019 @default.
- W2022832731 countsByYear W20228327312020 @default.
- W2022832731 countsByYear W20228327312021 @default.
- W2022832731 crossrefType "journal-article" @default.
- W2022832731 hasAuthorship W2022832731A5018781014 @default.
- W2022832731 hasAuthorship W2022832731A5052385849 @default.
- W2022832731 hasAuthorship W2022832731A5069080473 @default.
- W2022832731 hasAuthorship W2022832731A5076916905 @default.
- W2022832731 hasBestOaLocation W20228327311 @default.
- W2022832731 hasConcept C126322002 @default.
- W2022832731 hasConcept C142724271 @default.
- W2022832731 hasConcept C143998085 @default.
- W2022832731 hasConcept C198433322 @default.
- W2022832731 hasConcept C2779022025 @default.
- W2022832731 hasConcept C2779761222 @default.
- W2022832731 hasConcept C3019719930 @default.
- W2022832731 hasConcept C526584372 @default.
- W2022832731 hasConcept C58471807 @default.
- W2022832731 hasConcept C71924100 @default.
- W2022832731 hasConceptScore W2022832731C126322002 @default.
- W2022832731 hasConceptScore W2022832731C142724271 @default.
- W2022832731 hasConceptScore W2022832731C143998085 @default.
- W2022832731 hasConceptScore W2022832731C198433322 @default.
- W2022832731 hasConceptScore W2022832731C2779022025 @default.
- W2022832731 hasConceptScore W2022832731C2779761222 @default.
- W2022832731 hasConceptScore W2022832731C3019719930 @default.
- W2022832731 hasConceptScore W2022832731C526584372 @default.
- W2022832731 hasConceptScore W2022832731C58471807 @default.
- W2022832731 hasConceptScore W2022832731C71924100 @default.
- W2022832731 hasIssue "12" @default.
- W2022832731 hasLocation W20228327311 @default.
- W2022832731 hasLocation W20228327312 @default.
- W2022832731 hasOpenAccess W2022832731 @default.
- W2022832731 hasPrimaryLocation W20228327311 @default.
- W2022832731 hasRelatedWork W154908103 @default.
- W2022832731 hasRelatedWork W1986166094 @default.
- W2022832731 hasRelatedWork W1999954006 @default.
- W2022832731 hasRelatedWork W2013373890 @default.
- W2022832731 hasRelatedWork W2017531614 @default.
- W2022832731 hasRelatedWork W2075588526 @default.
- W2022832731 hasRelatedWork W2159383925 @default.
- W2022832731 hasRelatedWork W3000073371 @default.
- W2022832731 hasRelatedWork W3031033928 @default.
- W2022832731 hasRelatedWork W4210925395 @default.
- W2022832731 hasVolume "106" @default.
- W2022832731 isParatext "false" @default.
- W2022832731 isRetracted "false" @default.
- W2022832731 magId "2022832731" @default.
- W2022832731 workType "article" @default.