Decreased miR-940 expression can predict a negative prognosis in early-stage nonsmoking female lung adenocarcinoma

被引:3
作者
Ma, Qianli [1 ]
Zhang, Jin [1 ]
Huang, Jingjing [1 ]
Wang, Xiaowei [2 ]
Xiao, Fei [1 ]
Xing, Huajie [1 ]
Wang, Ye [2 ]
Guo, Yongqing [1 ]
Shi, Bin [1 ]
Song, Zhiyi [1 ]
Liu, Deruo [1 ]
Si, Chaozeng [3 ]
Horinouchi, Hidehito [4 ]
Liang, Chaoyang [1 ]
机构
[1] China Japan Friendship Hosp, Dept Thorac Surg, 2 Yinghua East Rd, Beijing 100029, Peoples R China
[2] China Japan Friendship Hosp, Dept Pathol, Beijing, Peoples R China
[3] China Japan Friendship Hosp, Dept Informat Management, 2 Yinghua East Rd, Beijing 100029, Peoples R China
[4] Natl Canc Ctr, Dept Thorac Oncol, Tokyo, Japan
关键词
MicroRNA (miRNA); lung adenocarcinoma; early stage; prognosis; gene expression profile; bioinformatics analysis; CANCER; MIR-940; CARCINOMA; PROLIFERATION; MICRORNAS; GROWTH; CLASSIFICATION; PROGRESSION; STATISTICS; DIAGNOSIS;
D O I
10.21037/tlcr-21-906
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background: Early-stage female lung adenocarcinoma is the most common type of lung cancer encountered in thoracic surgery departments. Tumor-node-metastasis (TNM) staging does not adequately explain a significant stratification phenomenon in the prognosis of patients with stage I lung adenocarcinoma. We aimed to investigate the contributory role of miR-940 in the prognosis prediction. Methods: We analyzed the microRNA (miRNA) expression level in tumor tissues (high-risk group vs. low-risk group) from 12 non-smoking female patients with stage I lung adenocarcinoma using miRNA array. Bioinformatic analyses of miR-940 were also carried out based on the public database. Then, quantitative reverse-transcription polymerase chain reaction (qRT-PCR) tests of the tissue samples were further validated. And miR-940's function was analyzed and potential target genes were predicted. Results: In all, 24 miRNAs were found to be significantly different between the high-risk group and low-risk group. The expression level of miR-940 was lower in tumor tissue (P=0.011), and the survival rate in the high miR-940 group was higher [hazard ratio (HR) =0.688; P=0.011]. Gene Ontology (GO) analysis showed that the assembly functions of targets regulated by miR-940 were mainly enriched in regulation of myeloid cell differentiation, G1/S transition of mitotic cell cycle, and cellular response to environmental stimulus. miR-940 is involved in transforming growth factor-beta (TGF-beta) signaling pathway; TNF signaling pathway; and estrogen signaling pathway. The number of lung adenocarcinoma cells (A549) was significantly decreased after miR-940 was transfected. Ten epithelial-to-mesenchymal-transition (EMT)-associated genes (MMP9, ZEB1, CDH1, KRT8, KRT18 KET19, TWIST1, VIM, SNAI1, and SNAI2) were found to be significantly related to miR-940. Conclusions: The present study showed that miR-940 might be a protective factor for positive prognosis in early stage nonsmoking female lung adenocarcinoma, with transforming growth factor-beta (TGF-beta) pathway, TNF pathway, and matrix metalloprotein (MMP9) being potential targets.
引用
收藏
页码:4293 / +
页数:13
相关论文
共 37 条
  • [1] Gene Ontology: tool for the unification of biology
    Ashburner, M
    Ball, CA
    Blake, JA
    Botstein, D
    Butler, H
    Cherry, JM
    Davis, AP
    Dolinski, K
    Dwight, SS
    Eppig, JT
    Harris, MA
    Hill, DP
    Issel-Tarver, L
    Kasarskis, A
    Lewis, S
    Matese, JC
    Richardson, JE
    Ringwald, M
    Rubin, GM
    Sherlock, G
    [J]. NATURE GENETICS, 2000, 25 (01) : 25 - 29
  • [2] MicroRNAs: Genomics, biogenesis, mechanism, and function (Reprinted from Cell, vol 116, pg 281-297, 2004)
    Bartel, David P.
    [J]. CELL, 2007, 131 (04) : 11 - 29
  • [3] Comprehensive modeling of microRNA targets predicts functional non-conserved and non-canonical sites
    Betel, Doron
    Koppal, Anjali
    Agius, Phaedra
    Sander, Chris
    Leslie, Christina
    [J]. GENOME BIOLOGY, 2010, 11 (08):
  • [4] Accurate Classification of Non-Small Cell Lung Carcinoma Using a Novel MicroRNA-Based Approach
    Bishop, Justin A.
    Benjamin, Hila
    Cholakh, Hila
    Chajut, Ayelet
    Clark, Douglas P.
    Westra, William H.
    [J]. CLINICAL CANCER RESEARCH, 2010, 16 (02) : 610 - 619
  • [5] Biochemical Characterization of AMG 102: A Neutralizing, Fully Human Monoclonal Antibody to Human and Nonhuman Primate Hepatocyte Growth Factor
    Burgess, Teresa L.
    Sun, Jan
    Meyer, Susanne
    Tsuruda, Trace S.
    Sun, Jilin
    Elliott, Gary
    Chen, Qing
    Haniu, Mitsuru
    Barron, Will F.
    Juan, Todd
    Zhang, Ke
    Coxon, Angela
    Kendall, Richard L.
    [J]. MOLECULAR CANCER THERAPEUTICS, 2010, 9 (02) : 400 - 409
  • [6] miR-940 regulates the inflammatory response of chondrocytes by targeting MyD88 in osteoarthritis
    Cao, Jian
    Liu, Zhongxing
    Zhang, Limin
    Li, Jinlong
    [J]. MOLECULAR AND CELLULAR BIOCHEMISTRY, 2019, 461 (1-2) : 183 - 193
  • [7] Characterization of microRNAs in serum: a novel class of biomarkers for diagnosis of cancer and other diseases
    Chen, Xi
    Ba, Yi
    Ma, Lijia
    Cai, Xing
    Yin, Yuan
    Wang, Kehui
    Guo, Jigang
    Zhang, Yujing
    Chen, Jiangning
    Guo, Xing
    Li, Qibin
    Li, Xiaoying
    Wang, Wenjing
    Zhang, Yan
    Wang, Jin
    Jiang, Xueyuan
    Xiang, Yang
    Xu, Chen
    Zheng, Pingping
    Zhang, Juanbin
    Li, Ruiqiang
    Zhang, Hongjie
    Shang, Xiaobin
    Gong, Ting
    Ning, Guang
    Wang, Jun
    Zen, Ke
    Zhang, Junfeng
    Zhang, Chen-Yu
    [J]. CELL RESEARCH, 2008, 18 (10) : 997 - 1006
  • [8] Cancer Treatment and Survivorship Statistics, 2014
    DeSantis, Carol E.
    Lin, Chun Chieh
    Mariotto, Angela B.
    Siegel, Rebecca L.
    Stein, Kevin D.
    Kramer, Joan L.
    Alteri, Rick
    Robbins, Anthony S.
    Jemal, Ahmedin
    [J]. CA-A CANCER JOURNAL FOR CLINICIANS, 2014, 64 (04) : 252 - 271
  • [9] The New Lung Cancer Staging System
    Detterbeck, Frank C.
    Boffa, Daniel J.
    Tanoue, Lynn T.
    [J]. CHEST, 2009, 136 (01) : 260 - 271
  • [10] A systems biology approach for pathway level analysis
    Draghici, Sorin
    Khatri, Purvesh
    Tarca, Adi Laurentiu
    Amin, Kashyap
    Done, Arina
    Voichita, Calin
    Georgescu, Constantin
    Romero, Roberto
    [J]. GENOME RESEARCH, 2007, 17 (10) : 1537 - 1545