Literature DB >> 24633316

Cilia gene expression patterns in cancer.

Max Shpak1, Marcus M Goldberg, Matthew C Cowperthwaite.   

Abstract

Non-motile cilia are thought to be important determinants of the progression of many types of cancers. Our goal was to identify patterns of cilia gene dysregulation in eight cancer types (glioblastoma multiforme, colon adenocarcinoma, breast adenocarcinoma, kidney renal clear cell carcinoma, lung squamous cell carcinoma, lung adenocarcinoma, rectal adenocarcinoma, and ovarian cancer) profiled by The Cancer Genome Atlas. Among these types, 2.5-19.8% of cilia-associated genes were significantly differentially expressed (versus 5.5-32.4% dysregulation across all genes). In four cancer types (breast adenocarcinoma, colon adenocarcinoma, glioblastoma multiforme, and ovarian cancer), cilia genes were on average down-regulated (median fold change from -1.53--0.3), in the other four types, cilia genes were up-regulated (fold change=0.86-3.5). Pairwise comparisons between cancer types revealed varying degrees of similarity in the differentially expressed cilia genes, ranging from 7.1% (ovarian cancer and lung squamous cell carcinoma) to 65.8% (ovarian cancer and rectal adenocarcinoma). Hierarchical clustering and principal components analysis of gene expression identified glioblastoma multiforme, colon adenocarcinoma, breast adenocarcinoma; and kidney renal clear cell carcinoma, lung squamous cell carcinoma, lung adenocarcinoma, rectal adenocarcinoma, and ovarian cancer as sub-classes with similar dysregulation patterns. Our study suggests that genes involved in cilia biosynthesis and function are frequently dysregulated in cancer, and may be useful for identifying and classifying cancer types.

Entities:  

Keywords:  Cancer; gene expression; patterns; primary cilia

Mesh:

Year:  2014        PMID: 24633316

Source DB:  PubMed          Journal:  Cancer Genomics Proteomics        ISSN: 1109-6535            Impact factor:   4.069


  7 in total

Review 1.  Cilia dysfunction in lung disease.

Authors:  Ann E Tilley; Matthew S Walters; Renat Shaykhiev; Ronald G Crystal
Journal:  Annu Rev Physiol       Date:  2014-10-29       Impact factor: 19.318

2.  Measures for the degree of overlap of gene signatures and applications to TCGA.

Authors:  Xingjie Shi; Huangdi Yi; Shuangge Ma
Journal:  Brief Bioinform       Date:  2014-12-31       Impact factor: 13.994

3.  The daughter centriole controls ciliogenesis by regulating Neurl-4 localization at the centrosome.

Authors:  Abdelhalim Loukil; Kati Tormanen; Christine Sütterlin
Journal:  J Cell Biol       Date:  2017-04-06       Impact factor: 10.539

4.  Next-generation sequencing unravels extensive genetic alteration in recurrent ovarian cancer and unique genetic changes in drug-resistant recurrent ovarian cancer.

Authors:  Zhen-Hua Du; Fang-Fang Bi; Lei Wang; Qing Yang
Journal:  Mol Genet Genomic Med       Date:  2018-05-24       Impact factor: 2.183

5.  Adenylate kinase 7 is a prognostic indicator of overall survival in ovarian cancer.

Authors:  Xue-Ying Zhang; Li-Li Zhou; Yan Jiao; Yan-Qing Li; Yi-Nuo Guan; Yue-Chen Zhao; Lian-Wen Zheng
Journal:  Medicine (Baltimore)       Date:  2021-01-08       Impact factor: 1.817

Review 6.  Targeting purine metabolism in ovarian cancer.

Authors:  Jingchun Liu; Shasha Hong; Jiang Yang; Xiaoyi Zhang; Ying Wang; Haoyu Wang; Jiaxin Peng; Li Hong
Journal:  J Ovarian Res       Date:  2022-08-13       Impact factor: 5.506

Review 7.  Primary cilium and glioblastoma.

Authors:  María Álvarez-Satta; Ander Matheu
Journal:  Ther Adv Med Oncol       Date:  2018-10-03       Impact factor: 8.168

  7 in total

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