Literature DB >> 21351266

Early detection of lung adenocarcinoma in sputum by a panel of microRNA markers.

Lei Yu1, Nevins W Todd, Lingxiao Xing, Ying Xie, Howard Zhang, Zhenqiu Liu, Hongbin Fang, Jian Zhang, Ruth L Katz, Feng Jiang.   

Abstract

Adenocarcinoma is the most common type of lung cancer, the leading cause of cancer deaths in the world. Early detection is the key to improve the survival of lung adenocarcinoma patients. We have previously shown that microRNAs (miRNAs) were stably present in sputum and could be applied to diagnosis of lung cancer. The aim of our study was to develop a panel of miRNAs that can be used as highly sensitive and specific sputum markers for early detection of lung adenocarcinoma. Our study contained 3 phases: (i) marker discovery using miRNA profiling on paired normal and tumor lung tissues from 20 patients with lung adenocarcinoma; (ii) marker optimization by real-time reverse transcription-quantitative polymerase chain reaction on sputum of a case-control cohort consisting of 36 cancer patients and 36 health individuals and (iii) validation on an independent set of 64 lung cancer patients and 58 cancer-free subjects. From the surgical tissues, 7 miRNAs with significantly altered expression were identified, of which "4" were overexpressed and "3" were underexpressed in all 20 tumors. On the sputum samples of the case-control cohort, 4 (miR-21, miR-486, miR-375 and miR-200b) of the 7 miRNAs were selected, which in combination produced the best prediction in distinguishing lung adenocarcinoma patients from normal subjects with 80.6% sensitivity and 91.7% specificity. Validation of the marker panel in the independent populations confirmed the sensitivity and specificity that provided a significant improvement over any single one alone. The sputum markers demonstrated the potential of translation to laboratory settings for improving the early detection of lung adenocarcinoma.
Copyright © 2010 UICC.

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Year:  2010        PMID: 21351266      PMCID: PMC3545471          DOI: 10.1002/ijc.25289

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  37 in total

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Journal:  Cancer Res       Date:  2009-12-22       Impact factor: 12.701

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Journal:  Mol Endocrinol       Date:  2010-01-15

Review 3.  Potential uses of microRNA in lung cancer diagnosis, prognosis, and therapy.

Authors:  Qi Zhao Wang; William Xu; Nagy Habib; Ruian Xu
Journal:  Curr Cancer Drug Targets       Date:  2009-06       Impact factor: 3.428

4.  Altered miRNA expression in sputum for diagnosis of non-small cell lung cancer.

Authors:  Ying Xie; Nevins W Todd; Zhenqiu Liu; Min Zhan; Hongbin Fang; Hong Peng; Mohammed Alattar; Janaki Deepak; Sanford A Stass; Feng Jiang
Journal:  Lung Cancer       Date:  2009-05-14       Impact factor: 5.705

Review 5.  Pdcd4, a colon cancer prognostic that is regulated by a microRNA.

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6.  Aberrant miR-182 expression promotes melanoma metastasis by repressing FOXO3 and microphthalmia-associated transcription factor.

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

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Journal:  PLoS One       Date:  2009-11-25       Impact factor: 3.240

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  169 in total

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Journal:  Toxicol Pathol       Date:  2012-06-11       Impact factor: 1.902

Review 2.  Causes and consequences of microRNA dysregulation.

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Journal:  Cancer J       Date:  2012 May-Jun       Impact factor: 3.360

3.  Significance of microRNA-based biomarkers for pancreatic cancer.

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4.  MicroRNAs level as an initial screening method for early-stage lung cancer: a bivariate diagnostic random-effects meta-analysis.

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5.  Diagnostic and prognostic value of plasma microRNA deregulation in nasopharyngeal carcinoma.

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Review 7.  Involvement of microRNAs in lung cancer biology and therapy.

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8.  Digital PCR quantification of miRNAs in sputum for diagnosis of lung cancer.

Authors:  Ning Li; Jie Ma; Maria A Guarnera; HongBin Fang; Ling Cai; Feng Jiang
Journal:  J Cancer Res Clin Oncol       Date:  2013-11-27       Impact factor: 4.553

9.  Bone morphogenetic protein-focused strategies to induce cytotoxicity in lung cancer cells.

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10.  An integrative bioinformatics analysis identified miR-375 as a candidate key regulator of malignant breast cancer.

Authors:  Jiaxuan Liu; Ping Wang; Ping Zhang; Xinyu Zhang; Hang Du; Qiang Liu; Bo Huang; Caiyun Qian; Shuhua Zhang; Weifeng Zhu; Xiaohong Yang; Yingqun Xiao; Zhuoqi Liu; Daya Luo
Journal:  J Appl Genet       Date:  2019-08-01       Impact factor: 3.240

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