» Articles » PMID: 24116146

Meta-analysis Identifies NF-κB As a Therapeutic Target in Renal Cancer

Overview
Journal PLoS One
Date 2013 Oct 12
PMID 24116146
Citations 29
Authors
Affiliations
Soon will be listed here.
Abstract

Objective: To determine the expression patterns of NF-κB regulators and target genes in clear cell renal cell carcinoma (ccRCC), their correlation with von Hippel Lindau (VHL) mutational status, and their association with survival outcomes.

Methods: Meta-analyses were carried out on published ccRCC gene expression datasets by RankProd, a non-parametric statistical method. DEGs with a False Discovery Rate of < 0.05 by this method were considered significant, and intersected with a curated list of NF-κB regulators and targets to determine the nature and extent of NF-κB deregulation in ccRCC.

Results: A highly-disproportionate fraction (~40%; p < 0.001) of NF-κB regulators and target genes were found to be up-regulated in ccRCC, indicative of elevated NF-κB activity in this cancer. A subset of these genes, comprising a key NF-κB regulator (IKBKB) and established mediators of the NF-κB cell-survival and pro-inflammatory responses (MMP9, PSMB9, and SOD2), correlated with higher relative risk, poorer prognosis, and reduced overall patient survival. Surprisingly, levels of several interferon regulatory factors (IRFs) and interferon target genes were also elevated in ccRCC, indicating that an 'interferon signature' may represent a novel feature of this disease. Loss of VHL gene expression correlated strongly with the appearance of NF-κB- and interferon gene signatures in both familial and sporadic cases of ccRCC. As NF-κB controls expression of key interferon signaling nodes, our results suggest a causal link between VHL loss, elevated NF-κB activity, and the appearance of an interferon signature during ccRCC tumorigenesis.

Conclusions: These findings identify NF-κB and interferon signatures as clinical features of ccRCC, provide strong rationale for the incorporation of NF-κB inhibitors and/or and the exploitation of interferon signaling in the treatment of ccRCC, and supply new NF-κB targets for potential therapeutic intervention in this currently-incurable malignancy.

Citing Articles

Personalized Driver Gene Prediction Using Graph Convolutional Networks with Conditional Random Fields.

Wei P, Zhu A, Cao R, Zheng C Biology (Basel). 2024; 13(3).

PMID: 38534453 PMC: 10968662. DOI: 10.3390/biology13030184.


BAG3 as a novel prognostic biomarker in kidney renal clear cell carcinoma correlating with immune infiltrates.

Gong B, Huang Y, Wang Z, Wan B, Zeng Y, Lv C Eur J Med Res. 2024; 29(1):93.

PMID: 38297320 PMC: 10832118. DOI: 10.1186/s40001-024-01687-w.


Identification by genetic algorithm optimized back propagation artificial neural network and validation of a four-gene signature for diagnosis and prognosis of pancreatic cancer.

Li Z, Ma Z, Zhou Q, Wang S, Yan Q, Zhuang H Heliyon. 2022; 8(11):e11321.

PMID: 36406681 PMC: 9668538. DOI: 10.1016/j.heliyon.2022.e11321.


The convergence of tumor suppressors on the type I interferon pathway in clear cell renal cell carcinoma and its therapeutic implications.

Langbein L, El Hajjar R, Kim W, Yang H Am J Physiol Cell Physiol. 2022; 323(5):C1417-C1429.

PMID: 36154696 PMC: 9662805. DOI: 10.1152/ajpcell.00255.2022.


Blockade of β2-Adrenergic Receptor Reduces Inflammation and Oxidative Stress in Clear Cell Renal Cell Carcinoma.

Albinana V, Recio-Poveda L, Gonzalez-Peramato P, Martinez-Pineiro L, Botella L, Cuesta A Int J Mol Sci. 2022; 23(3).

PMID: 35163250 PMC: 8835934. DOI: 10.3390/ijms23031325.


References
1.
Stark G, Kerr I, Williams B, Silverman R, Schreiber R . How cells respond to interferons. Annu Rev Biochem. 1998; 67:227-64. DOI: 10.1146/annurev.biochem.67.1.227. View

2.
An J, Fisher M, Rettig M . VHL expression in renal cell carcinoma sensitizes to bortezomib (PS-341) through an NF-kappaB-dependent mechanism. Oncogene. 2004; 24(9):1563-70. DOI: 10.1038/sj.onc.1208348. View

3.
Eisen T, Sternberg C, Robert C, Mulders P, Pyle L, Zbinden S . Targeted therapies for renal cell carcinoma: review of adverse event management strategies. J Natl Cancer Inst. 2012; 104(2):93-113. DOI: 10.1093/jnci/djr511. View

4.
Pahl H . Activators and target genes of Rel/NF-kappaB transcription factors. Oncogene. 1999; 18(49):6853-66. DOI: 10.1038/sj.onc.1203239. View

5.
Rusinova I, Forster S, Yu S, Kannan A, Masse M, Cumming H . Interferome v2.0: an updated database of annotated interferon-regulated genes. Nucleic Acids Res. 2012; 41(Database issue):D1040-6. PMC: 3531205. DOI: 10.1093/nar/gks1215. View