Literature DB >> 28253725

Predicative values of serum microRNA-22 and microRNA-126 levels for non-small cell lung cancer development and metastasis: a case-control study.

A Q Shang, Y N Xie, J Wang, L Sun, J Wei, W Y Lu, J Y Lan, W W Wang, L Wang, L L Wang.   

Abstract

Presented study aims to explore the predictive values of serum microRNA-22 (miR-22) and miR-126 levels for non-small cell lung cancer (NSCLC) development and metastasis.A total of 127 NSCLC patients who were admitted in the First People's Hospital of Yancheng City from May, 2013 to May, 2015 were selected as the case group, including 71 cases of adenocarcinoma and 56 cases of squamous cell carcinoma. There were 112 healthy individuals selected as the control group. The qRT-PCR was performed to testify the serum miR-22 and miR-126 levels. Logistic regression analysis was conducted to analyze independent factors influencing NSCLC metastasis and receiver operating characteristic (ROC) curve was drawn to analyze the sensitivity and specificity of serum miR-22 and miR-126 levels in predicting NSCLC developments and metastasis.The serum miR-22 level was significantly higher in the case group than that in the control group, while the serum miR-126 level was lower in the case group as compared with that in the control group. Compared with squamous cell carcinoma patients, serum miR-22 level significantly increased, while serum miR-126 level decreased in patients with adenocarcinoma. Patients at III + IV stage showed increased serum miR-22 level and relatively decreased serum miR-126 level as compared to patients at I + II stage. Serum miR-22 level elevated in patients with metastasis; in contrast serum miR-126 level reduced in comparison to those without metastasis. In patients with familial inheritance, serum miR-22 level increased but serum miR-126 level decreased as compared to those without familial inheritance. The specificity and sensitivity of serum miR-22 and miR-126 levels in predicting NSCLC development were 99.11%, 84.30%, 82.68% and 96.40%, respectively. The specificity and sensitivity of serum miR-22 and miR-126 levels in predicting NSCLC metastasis were 59.74%, 96.00%, 84.00% and 62.30%, respectively.Results indicated that serum miR-22 and miR-126 levels may be used as the predicative biomarkers for NSCLC development and metastasis.

Entities:  

Keywords:  development; metastasis; microRNA-126; microRNA-22; non-small cell lung cancer; predictive value case-control study.

Mesh:

Substances:

Year:  2017        PMID: 28253725     DOI: 10.4149/neo_2017_317

Source DB:  PubMed          Journal:  Neoplasma        ISSN: 0028-2685            Impact factor:   2.575


  12 in total

1.  Alginate oligosaccharide indirectly affects toll-like receptor signaling via the inhibition of microRNA-29b in aneurysm patients after endovascular aortic repair.

Authors:  Yong Yang; Zhenhuan Ma; Guokai Yang; Jia Wan; Guojian Li; Lingjuan Du; Ping Lu
Journal:  Drug Des Devel Ther       Date:  2017-09-01       Impact factor: 4.162

Review 2.  Diagnostic and Therapeutic Potential of MicroRNAs in Lung Cancer.

Authors:  Kentaro Inamura
Journal:  Cancers (Basel)       Date:  2017-05-09       Impact factor: 6.639

3.  PTPN9 promotes cell proliferation and invasion in Eca109 cells and is negatively regulated by microRNA-126.

Authors:  Junwei Zhu; Haomiao Li; Jun Ma; Haibo Huang; Jianjun Qin; Yin Li
Journal:  Oncol Lett       Date:  2017-06-06       Impact factor: 2.967

4.  A Semi-Supervised Learning Algorithm for Predicting Four Types MiRNA-Disease Associations by Mutual Information in a Heterogeneous Network.

Authors:  Xiaotian Zhang; Jian Yin; Xu Zhang
Journal:  Genes (Basel)       Date:  2018-03-02       Impact factor: 4.096

5.  Profiling of 179 miRNA Expression in Blood Plasma of Lung Cancer Patients and Cancer-Free Individuals.

Authors:  Ivan A Zaporozhchenko; Evgeny S Morozkin; Anastasia A Ponomaryova; Elena Y Rykova; Nadezhda V Cherdyntseva; Aleksandr A Zheravin; Oksana A Pashkovskaya; Evgeny A Pokushalov; Valentin V Vlassov; Pavel P Laktionov
Journal:  Sci Rep       Date:  2018-04-20       Impact factor: 4.379

6.  Meta-analysis of diagnostic and prognostic value of miR-126 in non-small cell lung cancer.

Authors:  Lin Sun; Hongbin Zhou; Ying Yang; Jianguo Chen; Yong Wang; Min She; Chang Li
Journal:  Biosci Rep       Date:  2020-05-29       Impact factor: 3.840

Review 7.  MicroRNA-126: A new and promising player in lung cancer.

Authors:  Qijun Chen; Shuanghua Chen; Juanjuan Zhao; Ya Zhou; Lin Xu
Journal:  Oncol Lett       Date:  2020-11-12       Impact factor: 2.967

Review 8.  The Impact of Air Pollution Exposure on the MicroRNA Machinery and Lung Cancer Development.

Authors:  Michal Sima; Andrea Rossnerova; Zuzana Simova; Pavel Rossner
Journal:  J Pers Med       Date:  2021-01-19

9.  Bioinformatics analysis to determine the prognostic value and prospective pathway signaling of miR-126 in non-small cell lung cancer.

Authors:  Zichen Jiao; Ao Yu; Xiaofeng He; Yulong Xuan; He Zhang; Guojun Wang; Minke Shi; Tao Wang
Journal:  Ann Transl Med       Date:  2020-12

10.  The prognostic value of miR-126 expression in non-small-cell lung cancer: a meta-analysis.

Authors:  Wen Zheng; Ya Zhou; Jia Lu; Hualin Xu; Liangyu Lei; Chao Chen; Juanjuan Zhao; Lin Xu
Journal:  Cancer Cell Int       Date:  2017-07-14       Impact factor: 5.722

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.