Characterization of heterogeneous redox responses in hepatocellular carcinoma patients using network analysis
Artikel i vetenskaplig tidskrift, 2019

© 2019 The Authors Background: Redox metabolism is often considered a potential target for cancer treatment, but a systematic examination of redox responses in hepatocellular carcinoma (HCC) is missing. Methods: Here, we employed systems biology and biological network analyses to reveal key roles of genes associated with redox metabolism in HCC by integrating multi-omics data. Findings: We found that several redox genes, including 25 novel potential prognostic genes, are significantly co-expressed with liver-specific genes and genes associated with immunity and inflammation. Based on an integrative analysis, we found that HCC tumors display antagonistic behaviors in redox responses. The two HCC groups are associated with altered fatty acid, amino acid, drug and hormone metabolism, differentiation, proliferation, and NADPH-independent vs -dependent antioxidant defenses. Redox behavior varies with known tumor subtypes and progression, affecting patient survival. These antagonistic responses are also displayed at the protein and metabolite level and were validated in several independent cohorts. We finally showed the differential redox behavior using mice transcriptomics in HCC and noncancerous tissues and associated with hypoxic features of the two redox gene groups. Interpretation: Our integrative approaches highlighted mechanistic differences among tumors and allowed the identification of a survival signature and several potential therapeutic targets for the treatment of HCC.

Systems biology

Hepatocellular carcinoma

Liver cancer

Cancer

Redox metabolism

Transcriptomics

Precision medicine

Författare

Rui Benfeitas

Kungliga Tekniska Högskolan (KTH)

G. Bidkhori

Kungliga Tekniska Högskolan (KTH)

B. Mukhopadhyay

National Institute on Alcohol Abuse and Alcoholism

M. Klevstig

Sahlgrenska universitetssjukhuset

Muhammad Arif

Kungliga Tekniska Högskolan (KTH)

C. Zhang

Kungliga Tekniska Högskolan (KTH)

Sunjae Lee

Kungliga Tekniska Högskolan (KTH)

R. Cinar

National Institute on Alcohol Abuse and Alcoholism

Jens B Nielsen

Chalmers, Biologi och bioteknik, Systembiologi

Mathias Uhlen

Kungliga Tekniska Högskolan (KTH)

Jan Borén

Sahlgrenska universitetssjukhuset

G. Kunos

National Institute on Alcohol Abuse and Alcoholism

Adil Mardinoglu

King's College London

Chalmers, Biologi och bioteknik, Systembiologi

Kungliga Tekniska Högskolan (KTH)

EBioMedicine

2352-3964 (eISSN)

Vol. 40 471-487

Ämneskategorier

Medicinsk genetik

Bioinformatik och systembiologi

Cancer och onkologi

DOI

10.1016/j.ebiom.2018.12.057

PubMed

30606699

Mer information

Senast uppdaterat

2019-06-17