Literature DB >> 30428030

A 5-microRNA signature identified from serum microRNA profiling predicts survival in patients with advanced stage non-small cell lung cancer.

Yajie Zhang1,2, Jack A Roth3, Hao Yu1, Yuanqing Ye1, Kunlin Xie1, Hua Zhao1, David W Chang1, Maosheng Huang1, Hecheng Li2, Jieming Qu4, Xifeng Wu1.   

Abstract

Circulating microRNAs (miRNAs) are potential biomarkers for cancer diagnosis, screening and prognosis. This study aimed to identify serum miRNAs as predictors of survival in patients with advanced non-small cell lung cancer (NSCLC). We profiled serum miRNAs in a pilot set of four patients with good survival (>24 months) and four patients with poor survival (<6 months). We selected 140 stably detectable miRNAs and 42 miRNAs reported in literature for further analysis. Expression of these 182 miRNAs was measured using high-throughput polymerase chain reaction assay, and their association with 3-year survival in the discovery (n = 345) and validation (n = 177) cohorts was assessed. Five serum miRNAs (miR-191, miR-28-3p, miR-145, miR-328 and miR-18a) were significantly associated with 3-year overall survival in both cohorts. A combined 5-miRNA risk score was created to assess the cumulative impact of these miRNAs on risk of death. Quartile analysis of the risk score showed significant association with 3-year death risk, with a 4.6-, 6.8- and 9.3-month reduction in median survival time for the second, third and fourth quartiles, respectively. Survival tree analysis also identified distinct risk groups with different 3-year survival durations. Data from The Cancer Genome Atlas revealed all five miRNAs were differentially expressed (P < 0.0001) in paired tumor and normal tissues. Pathway analysis indicated that target genes of these five miRNAs were mainly enriched in inflammatory/immune response pathways and pathways implicated in resistance to chemoradiotherapy and/or targeted therapy. Our results suggested that the 5-miRNA signature could serve as a prognostic predictor in patients with advanced NSCLC.
© The Author(s) 2018. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

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Year:  2019        PMID: 30428030      PMCID: PMC6610172          DOI: 10.1093/carcin/bgy132

Source DB:  PubMed          Journal:  Carcinogenesis        ISSN: 0143-3334            Impact factor:   4.944


  45 in total

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Review 2.  Circulating microRNAs: new biomarkers in diagnosis, prognosis and treatment of cancer (review).

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Authors:  Shilpi Arora; Aarati R Ranade; Nhan L Tran; Sara Nasser; Shravan Sridhar; Ronald L Korn; Julianna T D Ross; Harshil Dhruv; Kristen M Foss; Zita Sibenaller; Timothy Ryken; Michael B Gotway; Seungchan Kim; Glen J Weiss
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Journal:  Cancer Prev Res (Phila)       Date:  2011-12-12

5.  MicroRNA signatures in tissues and plasma predict development and prognosis of computed tomography detected lung cancer.

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Journal:  Proc Natl Acad Sci U S A       Date:  2008-07-28       Impact factor: 11.205

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Journal:  Anal Biochem       Date:  2012-09-11       Impact factor: 3.365

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Authors:  Tzu-Pin Lu; Chien-Yueh Lee; Mong-Hsun Tsai; Yu-Chiao Chiu; Chuhsing Kate Hsiao; Liang-Chuan Lai; Eric Y Chuang
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10.  EGFR and MET receptor tyrosine kinase-altered microRNA expression induces tumorigenesis and gefitinib resistance in lung cancers.

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Journal:  Nat Med       Date:  2011-12-11       Impact factor: 87.241

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  15 in total

Review 1.  Circulating miRNAs as Diagnostic and Prognostic Biomarkers in Common Solid Tumors: Focus on Lung, Breast, Prostate Cancers, and Osteosarcoma.

Authors:  Michela Bottani; Giuseppe Banfi; Giovanni Lombardi
Journal:  J Clin Med       Date:  2019-10-11       Impact factor: 4.241

2.  Unification of miRNA and isomiR research: the mirGFF3 format and the mirtop API.

Authors:  Thomas Desvignes; Phillipe Loher; Karen Eilbeck; Jeffery Ma; Gianvito Urgese; Bastian Fromm; Jason Sydes; Ernesto Aparicio-Puerta; Victor Barrera; Roderic Espín; Florian Thibord; Xavier Bofill-De Ros; Eric Londin; Aristeidis G Telonis; Elisa Ficarra; Marc R Friedländer; John H Postlethwait; Isidore Rigoutsos; Michael Hackenberg; Ioannis S Vlachos; Marc K Halushka; Lorena Pantano
Journal:  Bioinformatics       Date:  2020-02-01       Impact factor: 6.937

3.  Effects and mechanism of miR-133a on invasion and migration of lung cancer cells.

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Journal:  Am J Transl Res       Date:  2022-02-15       Impact factor: 4.060

4.  CXCL9 as a Prognostic Inflammatory Marker in Early-Stage Lung Adenocarcinoma Patients.

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5.  Study on miRNAs in Pan-Cancer of the Digestive Tract Based on the Illumina HiSeq System Data Sequencing.

Authors:  Chun-Hui Lai; Xu-Zhi Liang; Xiu-Yun Liang; Sheng-Jun Ma; Jun-Guo Li; Ming-Fang Shi; Xu Zhu; Hui-Hua Lan; Jiang-Hui Zeng
Journal:  Biomed Res Int       Date:  2019-10-15       Impact factor: 3.411

6.  Identification of an Immune-Related Gene Signature Based on Immunogenomic Landscape Analysis to Predict the Prognosis of Adult Acute Myeloid Leukemia Patients.

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Journal:  Front Oncol       Date:  2020-11-20       Impact factor: 6.244

Review 7.  Current Landscape of Epigenetics in Lung Cancer: Focus on the Mechanism and Application.

Authors:  Yuan-Xiang Shi; De-Qiao Sheng; Lin Cheng; Xin-Yu Song
Journal:  J Oncol       Date:  2019-12-12       Impact factor: 4.375

Review 8.  Liquid Biopsy in Non-Small Cell Lung Cancer: Highlights and Challenges.

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Journal:  Cancers (Basel)       Date:  2019-12-19       Impact factor: 6.639

9.  Hypoxic bone marrow mesenchymal cell-extracellular vesicles containing miR-328-3p promote lung cancer progression via the NF2-mediated Hippo axis.

Authors:  Xi Liu; Feng Jiang; Zhilinag Wang; Lang Tang; Bin Zou; Pengfei Xu; Tenghua Yu
Journal:  J Cell Mol Med       Date:  2020-11-21       Impact factor: 5.310

10.  Diagnostic Valuation of Serum miR-184 and miR-191 in Patients With Non-Small-Cell Lung Cancer.

Authors:  Hao Ding; Wei Wen; Qingqing Ding; Xin Zhao
Journal:  Cancer Control       Date:  2020 Jan-Dec       Impact factor: 3.302

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