Literature DB >> 17973238

Multiple genetic and epigenetic biomarkers for lung cancer detection in cytologically negative sputum and a nested case-control study for risk assessment.

H-S Hsu1, T-P Chen, C-K Wen, C-H Hung, C-Y Chen, J-T Chen, Y-C Wang.   

Abstract

The purpose of this study was to define a biomarker panel for detection of cancer cells in cytologically negative sputum and to evaluate the panel for assessment of lung cancer risk. We examined 19 genetic and epigenetic markers using a sensitive fluorescence-based method in cytologically negative sputum and in lung tumour tissues from 82 lung cancer patients. We also used these markers to test the sputum of 37 cancer-free individuals who were matched by age, sex, and smoking habit. Based on the concordance of biomarkers in lung tumours and corresponding sputum, and the low prevalence in cancer-free individuals, we selected seven markers for a nested case-control study: microsatellite instability of D9S942; loss of heterozygosity of D9S286, D9S942, GATA49D12, and D13S170; and methylation of p16INK4a and RARbeta. Based on the assumption that a lung cancer cell has alterations in two or more of the seven biomarkers, we compared the pattern of biomarker alteration in lung tumours and corresponding sputum. Our comparison yielded a sensitivity of 82%, specificity of 75%, and concordance of 79%. Three cancer-free individuals were considered to have an elevated risk based on the criterion that their sputum showed alteration in two of the seven biomarkers. One individual was indeed diagnosed as having lung cancer 18 months after sputum collection. In the nested case-control study, six biomarkers showed significantly increased odds ratios ranging from 3.14 to 11.24. Our study defines a biomarker panel for detection of cancer cells in cytologically negative sputum and verifies its use for risk assessment of lung cancer. In combination with conventional diagnostic tools, this multiple genetic and epigenetic panel should improve the detection or risk assessment of lung cancer. (c) 2007 Pathological Society of Great Britain and Ireland

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17973238     DOI: 10.1002/path.2246

Source DB:  PubMed          Journal:  J Pathol        ISSN: 0022-3417            Impact factor:   7.996


  21 in total

1.  Preneoplasia of lung cancer.

Authors:  Adi F Gazdar; Elisabeth Brambilla
Journal:  Cancer Biomark       Date:  2010       Impact factor: 4.388

Review 2.  Aberrant methylation in non-small cell lung cancer.

Authors:  Makoto Suzuki; Ichiro Yoshino
Journal:  Surg Today       Date:  2010-06-26       Impact factor: 2.549

Review 3.  Systems biology coupled with label-free high-throughput detection as a novel approach for diagnosis of chronic obstructive pulmonary disease.

Authors:  Joanna L Richens; Richard A Urbanowicz; Elizabeth A M Lunt; Rebecca Metcalf; Jonathan Corne; Lucy Fairclough; Paul O'Shea
Journal:  Respir Res       Date:  2009-04-22

4.  Re-expression of CXCL14, a common target for epigenetic silencing in lung cancer, induces tumor necrosis.

Authors:  M Tessema; D M Klinge; C M Yingling; K Do; L Van Neste; S A Belinsky
Journal:  Oncogene       Date:  2010-06-21       Impact factor: 9.867

5.  Magnetic enrichment of bronchial epithelial cells from sputum for lung cancer diagnosis.

Authors:  Qi Qiu; Nevins W Todd; Ruiyun Li; Hong Peng; Zhenqiu Liu; Harris G Yfantis; Ruth L Katz; Sanford A Stass; Feng Jiang
Journal:  Cancer       Date:  2008-08-25       Impact factor: 6.860

Review 6.  Surveillance of resected non-small cell lung cancer.

Authors:  A López-González; P Ibeas Millán; B Cantos; M Provencio
Journal:  Clin Transl Oncol       Date:  2012-07-21       Impact factor: 3.405

7.  Association between P(16INK4a) promoter methylation and non-small cell lung cancer: a meta-analysis.

Authors:  Jundong Gu; Yanjun Wen; Siwei Zhu; Feng Hua; Hui Zhao; Hongrui Xu; Jiacong You; Linlin Sun; Weiqiang Wang; Jun Chen; Qinghua Zhou
Journal:  PLoS One       Date:  2013-04-05       Impact factor: 3.240

8.  MAGE A1-A6 RT-PCR and MAGE A3 and p16 methylation analysis in induced sputum from patients with lung cancer and non-malignant lung diseases.

Authors:  Kyeong-Cheol Shin; Kwan-Ho Lee; Chae-Hun Lee; Im-Hee Shin; Hun-Suk Suh; Chang-Ho Jeon
Journal:  Oncol Rep       Date:  2011-11-29       Impact factor: 3.906

9.  DNA methylation biomarkers offer improved diagnostic efficiency in lung cancer.

Authors:  Georgios Nikolaidis; Olaide Y Raji; Soultana Markopoulou; John R Gosney; Julie Bryan; Chris Warburton; Martin Walshaw; John Sheard; John K Field; Triantafillos Liloglou
Journal:  Cancer Res       Date:  2012-09-07       Impact factor: 12.701

Review 10.  Molecular sputum analysis for the diagnosis of lung cancer.

Authors:  A J Hubers; C F M Prinsen; G Sozzi; B I Witte; E Thunnissen
Journal:  Br J Cancer       Date:  2013-07-18       Impact factor: 7.640

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.