Literature DB >> 31215667

The pan-cancer mutational landscape of the PPAR pathway reveals universal patterns of dysregulated metabolism and interactions with tumor immunity and hypoxia.

Wai Hoong Chang1, Alvina G Lai1.   

Abstract

Peroxisome proliferator-activated receptors (PPARs) are a family of nuclear receptors that regulate lipid metabolism and bioenergetic demands within living systems. Consequently, aberrant expression of PPAR genes could predispose individuals to diseases, including cancer. PPAR signaling exerts pleiotropic functions in cancer, yet little is known about the interactions between genetic and transcriptional events of pathway genes in a pan-cancer context. Employing multidimensional datasets of over 18,000 patients involving 21 cancers, we performed systematic characterization on copy number alteration and differential transcript expression of 74 PPAR pathway genes. We identified 18 genes demonstrating mutually exclusive patterns of loss- and gain-of-function phenotypes. These genes successfully predicted patient survival rates in bladder, renal, glioma, liver, and stomach/esophageal cancers. Dysregulated PPAR signaling in these cancers converged on common downstream pathways associated with multiple metabolic processes. Moreover, clinically relevant relationships between PPARs and hypoxia were observed, where hypoxia further aggravates disease phenotypes in tumor subtypes with aberrant PPAR signaling. In glioma samples, including astrocytoma and oligoastrocytoma, PPAR hyperactivation is associated with immunosuppression through increased regulatory T cell expression. Our analysis reveals underappreciated levels of diversity and conservation in PPAR genes that could lay the groundwork for therapeutic strategies targeting tumor metabolism, immunity, and hypoxia.
© 2019 New York Academy of Sciences.

Entities:  

Keywords:  PPAR; glioma; hypoxia; metabolism; pan-cancer; tumor immunity

Year:  2019        PMID: 31215667     DOI: 10.1111/nyas.14170

Source DB:  PubMed          Journal:  Ann N Y Acad Sci        ISSN: 0077-8923            Impact factor:   5.691


  19 in total

1.  Identification of hub genes associated with obesity-induced hepatocellular carcinoma risk based on integrated bioinformatics analysis.

Authors:  Hamid Ceylan
Journal:  Med Oncol       Date:  2021-04-26       Impact factor: 3.064

2.  Development and verification of a hypoxia- and immune-associated prognosis signature for esophageal squamous cell carcinoma.

Authors:  Lian Lian; Shi-Bing Teng; You-You Xia; Xiao-Ming Shen; Yan Zheng; Shu-Guang Han; Wen-Jie Wang; Xue-Fei Xu; Chong Zhou
Journal:  J Gastrointest Oncol       Date:  2022-04

3.  Establishment of prognostic risk model and drug sensitivity based on prognostic related genes of esophageal cancer.

Authors:  Jingjing Dai; Abdusemer Reyimu; Ao Sun; Zaxi Duoji; Wubi Zhou; Song Liang; Suxia Hu; Weijie Dai; Xiaoguang Xu
Journal:  Sci Rep       Date:  2022-05-14       Impact factor: 4.996

4.  Identification of differential key biomarkers in the synovial tissue between rheumatoid arthritis and osteoarthritis using bioinformatics analysis.

Authors:  Runrun Zhang; Xinpeng Zhou; Yehua Jin; Cen Chang; Rongsheng Wang; Jia Liu; Junyu Fan; Dongyi He
Journal:  Clin Rheumatol       Date:  2021-07-05       Impact factor: 2.980

5.  Application of ensemble clustering and survival tree analysis for identifying prognostic clinicogenomic features in patients with colorectal cancer from the 100,000 Genomes Project.

Authors:  Yuguo Wei; Nikolaos Papachristou; Stefanie Mueller; Wai Hoong Chang; Alvina G Lai
Journal:  BMC Res Notes       Date:  2021-10-02

Review 6.  Metabolic reprogramming of T regulatory cells in the hypoxic tumor microenvironment.

Authors:  Varun Sasidharan Nair; Reem Saleh; Salman M Toor; Farhan S Cyprian; Eyad Elkord
Journal:  Cancer Immunol Immunother       Date:  2021-02-03       Impact factor: 6.968

7.  An immunoevasive strategy through clinically-relevant pan-cancer genomic and transcriptomic alterations of JAK-STAT signaling components.

Authors:  Wai Hoong Chang; Alvina G Lai
Journal:  Mol Med       Date:  2019-11-04       Impact factor: 6.354

8.  Large-Scale Proteomic Analysis of Follicular Lymphoma Reveals Extensive Remodeling of Cell Adhesion Pathway and Identifies Hub Proteins Related to the Lymphomagenesis.

Authors:  Kamila Duś-Szachniewicz; Grzegorz Rymkiewicz; Anil Kumar Agrawal; Paweł Kołodziej; Jacek R Wiśniewski
Journal:  Cancers (Basel)       Date:  2021-02-05       Impact factor: 6.639

9.  Aberrations in Notch-Hedgehog signalling reveal cancer stem cells harbouring conserved oncogenic properties associated with hypoxia and immunoevasion.

Authors:  Wai Hoong Chang; Alvina G Lai
Journal:  Br J Cancer       Date:  2019-09-16       Impact factor: 7.640

10.  An integrative pan-cancer investigation reveals common genetic and transcriptional alterations of AMPK pathway genes as important predictors of clinical outcomes across major cancer types.

Authors:  Wai Hoong Chang; Alvina G Lai
Journal:  BMC Cancer       Date:  2020-08-17       Impact factor: 4.430

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