Literature DB >> 22461647

Prolonged sampling of spontaneous sputum improves sensitivity of hypermethylation analysis for lung cancer.

A Jasmijn Hubers1, Daniëlle A M Heideman, Gerarda J M Herder, Sjaak A Burgers, Peter J Sterk, Peter W Kunst, Henk J Smit, Pieter E Postmus, Birgit I Witte, Sylvia Duin, Peter J F Snijders, Egbert F Smit, Erik Thunnissen.   

Abstract

AIMS: The adequacy of lung cancer diagnosis with sputum cytology depends on duration of sputum sampling. The aim of this methodological study was to determine whether the hypermethylation detection rate of RASSF1A, adenomatous polyposis coli (APC) and cytoglobin (CYGB) is influenced by the duration of sputum collection.
METHODS: Prospective sputum samples were collected from 53 lung cancer patients and 47 chronic obstructive pulmonary disease patients as controls. Subjects collected spontaneous sputum at home during nine consecutive days in three canisters I, II and III (ie, days 1-3, days 4-6, days 7-9, respectively). Quantitative methylation-specific PCR was performed to assess gene promoter methylation status of RASSF1A, APC and CYGB.
RESULTS: Analysis of each canister separately showed hypermethylation of RASSF1A, APC and/or CYGB in samples I, II and III, in 43%, 40% and 47% of cases, respectively. In control samples, these numbers were 4%, 2% and 4%, respectively. Cumulative analysis for days 1-6 and days 1-9 revealed an increase in sensitivity to 53% and 64%, and specificity of 94% and 91%, respectively.
CONCLUSION: Sputum collected over multiple successive days results in a gain in sensitivity for the detection of lung cancer, at the expense of a small loss in specificity. Condensed abstract Assessment of hypermethylation sensitivity of biomarkers in sputum collected over a prolonged period for the detection of lung cancer resulted in a promising gain in sensitivity, at the expense of a small loss in specificity.

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Year:  2012        PMID: 22461647     DOI: 10.1136/jclinpath-2012-200712

Source DB:  PubMed          Journal:  J Clin Pathol        ISSN: 0021-9746            Impact factor:   3.411


  8 in total

1.  Longitudinal assessment of DNA methylation changes during HPVE6E7-induced immortalization of primary keratinocytes.

Authors:  Denise M Schütze; Jan M Kooter; Saskia M Wilting; Chris J L M Meijer; Wim Quint; Peter J F Snijders; Renske D M Steenbergen
Journal:  Epigenetics       Date:  2015-01-23       Impact factor: 4.528

2.  DNA hypermethylation analysis in sputum for the diagnosis of lung cancer: training validation set approach.

Authors:  A J Hubers; D A M Heideman; S A Burgers; G J M Herder; P J Sterk; R J Rhodius; H J Smit; F Krouwels; A Welling; B I Witte; S Duin; R Koning; E F I Comans; R D M Steenbergen; P E Postmus; G A Meijer; P J F Snijders; E F Smit; E Thunnissen
Journal:  Br J Cancer       Date:  2015-03-17       Impact factor: 7.640

Review 3.  The Indirect Efficacy Comparison of DNA Methylation in Sputum for Early Screening and Auxiliary Detection of Lung Cancer: A Meta-Analysis.

Authors:  Di Liu; Hongli Peng; Qi Sun; Zhongyao Zhao; Xinwei Yu; Siqi Ge; Hao Wang; Honghong Fang; Qing Gao; Jiaonan Liu; Lijuan Wu; Manshu Song; Youxin Wang
Journal:  Int J Environ Res Public Health       Date:  2017-06-23       Impact factor: 3.390

4.  An epigenetic classifier for early stage lung cancer.

Authors:  Yun Su; Hong Bin Fang; Feng Jiang
Journal:  Clin Epigenetics       Date:  2018-05-22       Impact factor: 6.551

5.  Differences in the genomic profiles of cell-free DNA between plasma, sputum, urine, and tumor tissue in advanced NSCLC.

Authors:  Zhen Wu; Zhen Yang; Chun Sun Li; Wei Zhao; Zhi Xin Liang; Yu Dai; Qiang Zhu; Kai Ling Miao; Dong Hua Cui; Liang An Chen
Journal:  Cancer Med       Date:  2019-02-14       Impact factor: 4.452

6.  Exploration of the sputum methylome and omics deconvolution by quadratic programming in molecular profiling of asthma and COPD: the road to sputum omics 2.0.

Authors:  Espen E Groth; Melanie Weber; Thomas Bahmer; Frauke Pedersen; Anne Kirsten; Daniela Börnigen; Klaus F Rabe; Henrik Watz; Ole Ammerpohl; Torsten Goldmann
Journal:  Respir Res       Date:  2020-10-19

7.  High-Throughput Detection of Multiple miRNAs and Methylated DNA by Droplet Digital PCR.

Authors:  Ning Li; Pushpa Dhilipkannah; Feng Jiang
Journal:  J Pers Med       Date:  2021-04-29

8.  Dynamics of methylated cell-free DNA in the urine of non-small cell lung cancer patients.

Authors:  Sander Bach; Birgit M M Wever; Mark A van de Wiel; Joris D Veltman; Sayed M S Hashemi; Geert Kazemier; Idris Bahce; Renske D M Steenbergen
Journal:  Epigenetics       Date:  2021-10-04       Impact factor: 4.861

  8 in total

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