A Plasma Long Noncoding RNA Signature for Early Detection of Lung Cancer
PublisherNeoplasia Press, Inc.
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AbstractThe early detection of lung cancer is a major clinical challenge. Long noncoding RNAs (lncRNAs) have important functions in tumorigenesis. Plasma lncRNAs directly released from primary tumors or the circulating cancer cells might provide cell-free cancer biomarkers. The objective of this study was to investigate whether the lncRNAs could be used as plasma biomarkers for early-stage lung cancer. By using droplet digital polymerase chain reaction, we determined the diagnostic performance of 26 lung cancer-associated lncRNAs in plasma of a development cohort of 63 lung cancer patients and 33 cancer-free individuals, and a validation cohort of 39 lung cancer patients and 28 controls. In the development cohort, 7 of the 26 lncRNAs were reliably measured in plasma. Two (SNHG1 and RMRP) displayed a considerably high plasma level in lung cancer patients vs. cancer-free controls (all P < .001). Combined use of the plasma lncRNAs as a biomarker signature produced 84.13% sensitivity and 87.88% specificity for diagnosis of lung cancer, independent of stage and histological type of lung tumor, and patients' age and sex (all P > .05). The diagnostic value of the plasma lncRNA signature for lung cancer early detection was confirmed in the validation cohort. The plasma lncRNA signature may provide a potential blood-based assay for diagnosing lung cancer at the early stage. Nevertheless, a prospective study is warranted to validate its clinical value. Copyright 2018 The Authors
SponsorsGrant support: This work was supported in part by NCI R21CA205746 , VA Merit Award I01 CX000512 , Award from the Geaton and JoAnn DeCesaris Family Foundation , UMD-UMB Research and Innovation Seed Grant , DoD-Idea Development Award , and Maryland Innovation Initiative (MII) Commercialization Program-Phase 1/2 Grant (F.J.)
Identifier to cite or link to this itemhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85051062213&doi=10.1016%2fj.tranon.2018.07.016&partnerID=40&md5=ae37f184e73e61efff4fed9815ecc28f; http://hdl.handle.net/10713/8919