Literature DB >> 31241205

MicroRNAs associated with lung squamous cell carcinoma: New prognostic biomarkers and therapeutic targets.

Lingyu Qi1, Chundi Gao1, Fubin Feng2, Tingting Zhang3, Yan Yao4, Xue Wang5, Cun Liu3, Jia Li4, Jie Li1, Changgang Sun6,7.   

Abstract

BACKGROUND: With the development in research, the importance of microRNAs (miRNAs) in the occurrence and metastasis, and prognosis of lung squamous cell carcinoma (LUSC) have received extensive attention. This study aims to identify new biomarkers and pivotal genes associated with LUSC prognosis through bioinformatics.
MATERIALS AND METHODS: We downloaded miRNA and messenger RNA samples related to LUSC from The Cancer Genome Atlas (TCGA) database. Following initial data screening and preprocessing, we utilized the R platform and a range of analysis tools (miRDB, TargetScanHuman7.2, DAVID, and Cytoscape_v3.5.1) to analyze the TCGA data and identify highly specific and sensitive biomarkers.
RESULTS: We finally identified 12 miRNAs and six central genes closely related to the overall survival of patients with LUSC. We found that high expression of 7 miRNAs (miR-301b, miR-383, miR-512, miR-515, miR-525, miR-577, and miR-5682) and low expression of five miRNAs (miR-448, miR-486, miR-4732,miR-4732, miR-516, and miR-1911) can significantly improve the overall survival rate of patients with LUSC. The six central genes DLGAP5, CENPA, CHEK1, LRRK2, CALB1, and TOP2A are directly or indirectly involved in the formation and metastasis of LUSC and could, therefore, be considered as target genes for drug therapy.
CONCLUSION: With the development in research, the importance of miRNAs in the occurrence and metastasis and prognosis of LUSC have received extensive attention. This study aims to identify new biomarkers and pivotal genes associated with LUSC prognosis through bioinformatics.
© 2019 Wiley Periodicals, Inc.

Entities:  

Keywords:  bioinformatics analysis; lung squamous cell carcinoma; miRNAs; survival analysis; target genes

Year:  2019        PMID: 31241205     DOI: 10.1002/jcb.29216

Source DB:  PubMed          Journal:  J Cell Biochem        ISSN: 0730-2312            Impact factor:   4.429


  12 in total

1.  Identification of a glycolysis-related gene signature associated with clinical outcome for patients with lung squamous cell carcinoma.

Authors:  Ziming Xu; Shiwei Zhang; Fulai Nian; Shangyu Xu
Journal:  Cancer Med       Date:  2021-05-15       Impact factor: 4.452

2.  Downregulation of miRNA-126-3p is associated with progression of and poor prognosis for lung squamous cell carcinoma.

Authors:  Shang-Wei Chen; Hui-Ping Lu; Gang Chen; Jie Yang; Wan-Ying Huang; Xiang-Ming Wang; Shu-Ping Huang; Li Gao; Jun Liu; Zong-Wang Fu; Peng Chen; Gao-Qiang Zhai; Jiao Luo; Xiao-Jiao Li; Zhi-Guang Huang; Zu-Yun Li; Ting-Qing Gan; Da-Ping Yang; Wei-Jia Mo; Hua-Fu Zhou
Journal:  FEBS Open Bio       Date:  2020-07-14       Impact factor: 2.693

3.  MicroRNA-181a-5p Regulates Inflammatory Response of Macrophages in Sepsis.

Authors:  Zheng Huang; Hang Xu
Journal:  Open Med (Wars)       Date:  2019-11-20

4.  Plasma-derived exosomal miR-4732-5p is a promising noninvasive diagnostic biomarker for epithelial ovarian cancer.

Authors:  Jingjing Liu; Jigeun Yoo; Jung Yoon Ho; Yuyeon Jung; Sanha Lee; Soo Young Hur; Youn Jin Choi
Journal:  J Ovarian Res       Date:  2021-04-28       Impact factor: 4.234

5.  Long Noncoding RNA DUXAP8 Promotes Pancreatic Carcinoma Cell Migration and Invasion Via Pathway by miR-448/WTAP/Fak Signaling Axis.

Authors:  Jia-Rong Li; Ling Liu; Hui Luo; Ze-Guo Chen; Jian-Hua Wang; Nian-Feng Li
Journal:  Pancreas       Date:  2021-03-01       Impact factor: 3.243

6.  Diagnostic model of combined ceRNA and DNA methylation related genes in esophageal carcinoma.

Authors:  Xiaojiao Guan; Yao Yao; Guangyao Bao; Yue Wang; Aimeng Zhang; Xinwen Zhong
Journal:  PeerJ       Date:  2020-03-31       Impact factor: 2.984

7.  Identification of key genes associated with progression and prognosis for lung squamous cell carcinoma.

Authors:  Xiaohan Ma; Huijun Ren; Ruoyu Peng; Yi Li; Liang Ming
Journal:  PeerJ       Date:  2020-05-06       Impact factor: 2.984

Review 8.  The interplay between m6A RNA methylation and noncoding RNA in cancer.

Authors:  Shuai Ma; Chen Chen; Xiang Ji; Jinbo Liu; Quanbo Zhou; Guixian Wang; Weitang Yuan; Quancheng Kan; Zhenqiang Sun
Journal:  J Hematol Oncol       Date:  2019-11-22       Impact factor: 17.388

9.  Long non‑coding RNA FEZF1‑AS1 facilitates non‑small cell lung cancer progression via the ITGA11/miR‑516b‑5p axis.

Authors:  Heng Song; Hui Li; Xiaosong Ding; Minglei Li; Haitao Shen; Yuehong Li; Xianghong Zhang; Lingxiao Xing
Journal:  Int J Oncol       Date:  2020-10-29       Impact factor: 5.650

10.  Serum miR-27a is a biomarker for the prognosis of non-small cell lung cancer patients receiving chemotherapy.

Authors:  Erfu Xie; Mingxin Lin; Ziwei Sun; Yuexinzi Jin; Shichang Zhang; Lei Huang; Ruihong Sun; Fang Wang; Shiyang Pan
Journal:  Transl Cancer Res       Date:  2021-07       Impact factor: 1.241

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.