Literature DB >> 23468017

Gene expression profiling and molecular pathway analysis for the identification of early-stage lung adenocarcinoma patients at risk for early recurrence.

Hisashi Saji1, Masahiro Tsuboi, Yoshihisa Shimada, Yasufumi Kato, Wakako Hamanaka, Yujin Kudo, Koichi Yoshida, Jun Matsubayashi, Jitsuo Usuda, Tatsuo Ohira, Norihiko Ikeda.   

Abstract

Clinicohistopathological staging is insufficient to predict disease progression and clinical outcome in lung carcinoma. Based on the results of the principal component analysis of 24 samples of early-stage lung adenocarcinoma, two subgroups were identified within the early-relapse group. The histological classification of all samples of group A was poorly differentiated, whereas one out of three in group B was poorly differentiated. DAVID functional annotation analysis revealed that the molecular pathways enriched in group A included those associated with cell adhesion molecules (CAMs), cell cycle and antigen processing and presentation, whereas those in group B included CAMs, T cell receptor signaling, cytokine-cytokine receptor interaction, toll-like receptor signaling, chemokine signaling, primary immunodeficiency and natural killer cell-mediated cytotoxicity. The CAM pathway was enriched in both groups. This comprehensive gene expression and functional pathway analysis identified a distinct molecular pathway, CAMs, that correlated with the early relapse of patients with early-stage lung adenocarcinoma.

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Year:  2013        PMID: 23468017     DOI: 10.3892/or.2013.2332

Source DB:  PubMed          Journal:  Oncol Rep        ISSN: 1021-335X            Impact factor:   3.906


  7 in total

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Authors:  Ming Wang; Qin Liao; Pengfei Zou
Journal:  Cancer Biol Ther       Date:  2020-01-15       Impact factor: 4.742

2.  Circ-GSK3B up-regulates GSK3B to suppress the progression of lung adenocarcinoma.

Authors:  Ming-Chuang Zhu; Yan-Hong Zhang; Peng Xiong; Xiao-Wu Fan; Guo-Liang Li; Min Zhu
Journal:  Cancer Gene Ther       Date:  2022-07-11       Impact factor: 5.854

3.  Meta-analysis approaches to combine multiple gene set enrichment studies.

Authors:  Wentao Lu; Xinlei Wang; Xiaowei Zhan; Adi Gazdar
Journal:  Stat Med       Date:  2017-10-19       Impact factor: 2.373

4.  Identification of differential protein-coding gene expressions in early phase lung adenocarcinoma.

Authors:  Li-Na Zhou; Shi-Cheng Li; Xue-Ying Li; Hong Ge; Hong-Mei Li
Journal:  Thorac Cancer       Date:  2017-12-20       Impact factor: 3.500

5.  Clinical significance of metabolism-related genes and FAK activity in ovarian high-grade serous carcinoma.

Authors:  Masakazu Sato; Sho Sato; Daisuke Shintani; Mieko Hanaoka; Aiko Ogasawara; Maiko Miwa; Akira Yabuno; Akira Kurosaki; Hiroyuki Yoshida; Keiichi Fujiwara; Kosei Hasegawa
Journal:  BMC Cancer       Date:  2022-01-13       Impact factor: 4.430

6.  Long Noncoding RNA RGMB-AS1 Indicates a Poor Prognosis and Modulates Cell Proliferation, Migration and Invasion in Lung Adenocarcinoma.

Authors:  Ping Li; Guojun Zhang; Juan Li; Rui Yang; Shanshan Chen; Shujun Wu; Furui Zhang; Yong Bai; Huasi Zhao; Yuanyuan Wang; Shaozhi Dun; Xiaonan Chen; Qianqian Sun; Guoqiang Zhao
Journal:  PLoS One       Date:  2016-03-07       Impact factor: 3.240

7.  Systematically integrative analysis identifies diagnostic and prognostic candidates and small-molecule drugs for lung adenocarcinoma.

Authors:  Qiang Chen; Xiaoyi Wang; Jing Hu
Journal:  Transl Cancer Res       Date:  2021-08       Impact factor: 1.241

  7 in total

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