Literature DB >> 32930120

Identification of activated pathways in lung adenocarcinoma based on network strategy.

Bo Yu1, Tao Li2, Juan Chen1, Feng-Qiang Wang1, Jian-Hua Fu2, Shu-Mei Liu1, Yan Wang1, Xin Zhang1, Hai-Tao Yang1.   

Abstract

BACKGROUND: Lung adenocarcinoma has increased incidence over the past years and is the cause for almost 50% of deaths attributable to lung cancer. The objective of this paper is to identify activated pathways associated with lung adenocarcinoma based on gene co-expression network analysis.
MATERIALS AND METHODS: Kyoto Encyclopedia of Genes and Genomes pathway analysis of dysregulated genes was performed based on Expression Analysis Systematic Explorer test to illuminate the biological pathways. Co-expression networks of lung adenocarcinoma in different tumor Stages (IA, IB, IIA, IIB, IIIA, IIIB, and IV) were constructed by Empirical Bayes approach to reweight gene pair scores. Pathway activity analysis was conducted to compute the distribution of pathways in different stages and to identify "activated" pathways in lung adenocarcinoma.
RESULTS: We evaluated 211 dysregulated genes between lung adenocarcinoma patients and normal controls. Pathway activity analysis was performed and P values of pathways, which obtained from co-expression networks (Stage IA, IB, IIA, IIB, IIIA, IIIB, and IV), were calculated. Cell cycle, progesterone-mediated oocyte maturation, and oocyte meiosis were activated during all stages in lung adenocarcinoma.
CONCLUSIONS: We successfully identified three activated pathways (cell cycle, progesterone-mediated oocyte maturation, and oocyte meiosis) in different Stages (IA, IB, IIA, IIB, IIIA, IIIB, and IV) of lung adenocarcinoma.

Entities:  

Keywords:  Activated pathway; empirical Bayes; lung adenocarcinoma; network

Mesh:

Year:  2020        PMID: 32930120     DOI: 10.4103/0973-1482.199458

Source DB:  PubMed          Journal:  J Cancer Res Ther        ISSN: 1998-4138            Impact factor:   1.805


  3 in total

1.  Long noncoding RNA ArfGAP with RhoGAP domain, ankyrin repeat and PH domain 1 antisense RNA 1 recruits enhancer of zeste 2 polycomb repressive complex 2 subunit to promote the proliferation, migration and invasion of lung adenocarcinoma cells.

Authors:  Jinyuan Liu; Chunfeng Pan; Rongxin Lu; Shijiang Zhang
Journal:  Bioengineered       Date:  2022-03       Impact factor: 6.832

2.  DNA Repair-Based Gene Expression Signature and Distinct Molecular Subtypes for Prediction of Clinical Outcomes in Lung Adenocarcinoma.

Authors:  Bin Hu; Di Liu; Yinqiang Liu; Zhixi Li
Journal:  Front Med (Lausanne)       Date:  2020-11-27

3.  Identification of Ubiquitin-Related Gene-Pair Signatures for Predicting Tumor Microenvironment Infiltration and Drug Sensitivity of Lung Adenocarcinoma.

Authors:  Yumei Li; Lanfen An; Zhe Jia; Jingxia Li; E Zhou; Feng Wu; Zhengrong Yin; Wei Geng; Tingting Liao; Wenjing Xiao; Jingjing Deng; Wenjuan Chen; Minglei Li; Yang Jin
Journal:  Cancers (Basel)       Date:  2022-07-18       Impact factor: 6.575

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.