Literature DB >> 27240011

A panel of promoter methylation markers for invasive and noninvasive early detection of NSCLC using a quantum dots-based FRET approach.

Yunfei Ma1, Yanan Bai2, Hailei Mao3, Qunying Hong4, Dawei Yang4, Honglian Zhang2, Fangming Liu2, Zhenhua Wu2, Qinghui Jin2, Hongbo Zhou2, Jian Cao5, Jianlong Zhao2, Xinhua Zhong6, Hongju Mao7.   

Abstract

Non-small-cell lung cancer (NSCLC) leads to a significant proportion of cancer-related deaths, and early detection of NSCLC can significantly increase cancer survival rates. A promising approach has been studied to exploit DNA methylation, which is closely correlated to early cancer diagnosis. Herein, in order to realize the early detection of NSCLC, we utilized the developed quantum dots-based (QDs-based) fluorescence resonance energy transfer (FRET) nanosensor technique to analyze the promoter methylation in early stage NSCLC tissue samples and noninvasive bronchial brushing specimens. Using this method, the methylation levels can be quantitatively determined by measuring the signal amplification during FRET. A panel of three tumor suppressor genes (PCDHGB6, HOXA9 and RASSF1A) was assessed in 50 paired early stage NSCLC and their adjacent nontumorous tissue (NT) samples, and 50 early stage NSCLC bronchial brushing and normal specimens. The combined detection was able to identify not only tissue samples but noninvasive bronchial brushing specimens from control cases with a high degree of sensitivity of 92% (AUC=0.977, P<0.001) and 80% (AUC=0.907, P<0.001) respectively, indicating the versatility of promoter expression in invasive and noninvasive NSCLC samples. Therefore this approach can be used to sensitively analyze the methylation levels of cancer-related genes, which might be a potential tool for noninvasive early clinical diagnosis of cancers.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Bronchial brushing; Early detection; FRET; NSCLC; Promoter methylation; Quantum dots

Mesh:

Substances:

Year:  2016        PMID: 27240011     DOI: 10.1016/j.bios.2016.05.067

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN: 0956-5663            Impact factor:   10.618


  8 in total

1.  Identification of prognostic signature of non-small cell lung cancer based on TCGA methylation data.

Authors:  Yifan Wang; Ying Wang; Ying Wang; Yongjun Zhang
Journal:  Sci Rep       Date:  2020-05-22       Impact factor: 4.379

Review 2.  Early diagnosis of lung cancer: which is the optimal choice?

Authors:  Jing Ning; Tao Ge; Minlin Jiang; Keyi Jia; Lei Wang; Wei Li; Bin Chen; Yu Liu; Hao Wang; Sha Zhao; Yayi He
Journal:  Aging (Albany NY)       Date:  2021-02-11       Impact factor: 5.682

Review 3.  Optical bio-sensing of DNA methylation analysis: an overview of recent progress and future prospects.

Authors:  Mina Adampourezare; Mohammad Hasanzadeh; Farzad Seidi
Journal:  RSC Adv       Date:  2022-09-09       Impact factor: 4.036

4.  Quantitative assessment of gene promoter methylation in non-small cell lung cancer using methylation-sensitive high-resolution melting.

Authors:  Fangming Liu; Honglian Zhang; Shaohua Lu; Zhenhua Wu; Lin Zhou; Zule Cheng; Yanan Bai; Jianlong Zhao; Qiqing Zhang; Hongju Mao
Journal:  Oncol Lett       Date:  2018-03-22       Impact factor: 2.967

5.  Short stature homeobox 2 methylation as a potential noninvasive biomarker in bronchial aspirates for lung cancer diagnosis.

Authors:  Shumin Ni; Meng Ye; Tao Huang
Journal:  Oncotarget       Date:  2017-05-22

6.  DNA methylation markers that correlate with occult lymph node metastases of non-small cell lung cancer and a preliminary prediction model.

Authors:  Zisheng Chen; Shan Xiong; Jianfu Li; Limin Ou; Caichen Li; Jinsheng Tao; Zeyu Jiang; Jianbing Fan; Jianxing He; Wenhua Liang
Journal:  Transl Lung Cancer Res       Date:  2020-04

Review 7.  The Role of Liquid Biopsy in Early Diagnosis of Lung Cancer.

Authors:  Cláudia Freitas; Catarina Sousa; Francisco Machado; Mariana Serino; Vanessa Santos; Natália Cruz-Martins; Armando Teixeira; António Cunha; Tania Pereira; Hélder P Oliveira; José Luís Costa; Venceslau Hespanhol
Journal:  Front Oncol       Date:  2021-04-16       Impact factor: 6.244

Review 8.  Applications and Immunological Effects of Quantum Dots on Respiratory System.

Authors:  Laibin Ren; Lingwei Wang; Markus Rehberg; Tobias Stoeger; Jianglin Zhang; Shanze Chen
Journal:  Front Immunol       Date:  2022-01-06       Impact factor: 7.561

  8 in total

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