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      Early Detection of Lung Cancer using DNA Promoter Hypermethylation in Plasma and Sputum

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          Abstract

          Purpose:

          CT screening can reduce death from lung cancer. We sought to improve the diagnostic accuracy of lung cancer screening using ultrasensitive methods and a lung cancer specific gene panel to detect DNA methylation in sputum and Plasma.

          Experimental Design:

          This is a case-control study of subjects with suspicious nodules on CT imaging. Plasma and sputum were obtained pre-operatively. Cases (n=150) had pathological confirmation of node negative (stage I and IIA) non-small cell lung cancer. Controls (n=60) had non-cancer diagnoses. We detected promoter methylation using quantitative methylation-specific real-time PCR and Methylation on Beads for cancer-specific genes (SOX17, TAC1, HOXA7, CDO1, HOXA9, and ZFP42).

          Results:

          DNA methylation was detected in plasma and sputum more frequently in people with cancer compared to controls (p<0.001) for 5 of 6 genes. The sensitivity and specificity for lung cancer diagnosis using the best individual genes was 63–86% and 75–92% in sputum respectively and 65–76% and 74–84% in plasma. A three-gene combination of the best individual genes has sensitivity and specificity of 98% and 71% using sputum and 93% and 62% using plasma. Area under the Receiver Operating Curve for this panel was 0.89 95% CI (0.80–0.98) in sputum and 0.77 95% CI (0.68–0.86) in plasma. Independent blinded random forest prediction models combining gene methylation with clinical information correctly predicted lung cancer in 91% of subjects using sputum detection and 85% of subjects using plasma detection.

          Conclusions:

          High diagnostic accuracy for early stage lung cancer can be obtained using methylated promoter detection in sputum or plasma.

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          Author and article information

          Journal
          9502500
          8794
          Clin Cancer Res
          Clin. Cancer Res.
          Clinical cancer research : an official journal of the American Association for Cancer Research
          1078-0432
          3 February 2019
          11 October 2016
          15 April 2017
          07 February 2019
          : 23
          : 8
          : 1998-2005
          Affiliations
          [1 ]Sidney Kimmel Cancer Center. Department of Oncology, The Johns Hopkins University. School of Medicine, Baltimore, MD.
          [2 ]Department of Surgery. The Johns Hopkins University School of Medicine, Baltimore, MD
          [3 ]Department of Neurosurgery. The Johns Hopkins University School of Medicine, Baltimore, MD
          [4 ]Department of Mechanical Engineering. The Johns Hopkins University, Baltimore, MD
          [5 ]Department of Thoracic Surgery, Second Xiangya Hospital of Central South University, Changsha, Hunan, P.R China
          [6 ]Department of Biostatistics, The Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
          [7 ]Department of Medicine, Medical University of South Caroline, Charleston, SC.
          [8 ]Lung Cancer Program, Lovelace Respiratory Research Institute, Albuquerque, New Mexico
          [9 ]Department of Biomedical Engineering and Institute for NanoBioTechnology. The Johns Hopkins University. School of Medicine, Baltimore, MD.
          [10 ]Department of Medicine, University of Pittsburgh School of Medicine, Pittsburg, PA.
          Author notes
          [*]

          contributed equally

          Corresponding author: James G. Herman, Professor of Medicine, Lung Cancer Program Co-director, University of Pittsburgh, Division of Hematology/ Oncology, 2.18d Hillman Cancer Center, Pittsburgh, PA 15232, hermanj3@ 123456upmc.edu , Tel: 412-623-7769, Fax: 412-623-7768
          Article
          PMC6366618 PMC6366618 6366618 nihpa827132
          10.1158/1078-0432.CCR-16-1371
          6366618
          27729459
          e5cef01c-c723-4eaf-8db1-18d37f82a10d
          History
          Categories
          Article

          early detection,gene promoter hypermethylation,epigenetics,Lung cancer screening,molecular biomarkers

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