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The TGF-β/HDAC7 axis suppresses TCA cycle metabolism in renal cancer
Hyeyoung Nam, … , Sooryanarayana Varambally, Sunil Sudarshan
Hyeyoung Nam, … , Sooryanarayana Varambally, Sunil Sudarshan
Published October 5, 2021
Citation Information: JCI Insight. 2021;6(22):e148438. https://doi.org/10.1172/jci.insight.148438.
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Research Article Cell biology

The TGF-β/HDAC7 axis suppresses TCA cycle metabolism in renal cancer

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Abstract

Mounting evidence points to alterations in mitochondrial metabolism in renal cell carcinoma (RCC). However, the mechanisms that regulate the TCA cycle in RCC remain uncharacterized. Here, we demonstrate that loss of TCA cycle enzyme expression is retained in RCC metastatic tissues. Moreover, proteomic analysis demonstrates that reduced TCA cycle enzyme expression is far more pronounced in RCC relative to other tumor types. Loss of TCA cycle enzyme expression is correlated with reduced expression of the transcription factor PGC-1α, which is also lost in RCC tissues. PGC-1α reexpression in RCC cells restores the expression of TCA cycle enzymes in vitro and in vivo and leads to enhanced glucose carbon incorporation into TCA cycle intermediates. Mechanistically, TGF-β signaling, in concert with histone deacetylase 7 (HDAC7), suppresses TCA cycle enzyme expression. Our studies show that pharmacologic inhibition of TGF-β restores the expression of TCA cycle enzymes and suppresses tumor growth in an orthotopic model of RCC. Taken together, this investigation reveals a potentially novel role for the TGF-β/HDAC7 axis in global suppression of TCA cycle enzymes in RCC and provides insight into the molecular basis of altered mitochondrial metabolism in this malignancy.

Authors

Hyeyoung Nam, Anirban Kundu, Suman Karki, Garrett J. Brinkley, Darshan S. Chandrashekar, Richard L. Kirkman, Juan Liu, Maria V. Liberti, Jason W. Locasale, Tanecia Mitchell, Sooryanarayana Varambally, Sunil Sudarshan

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Figure 2

PPARGC1A expression is positively correlated with the expression of TCA cycle enzymes in ccRCC.

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PPARGC1A expression is positively correlated with the expression of TCA...
(A) KEGG pathway analysis representing that the pathways are positively correlated with PPARGC1A in metastatic RCC samples (n = 26). (B and C) Positive correlation between PPARGC1A and TCA cycle enzymes in metastatic tumor samples determined by Pearson’s correlation (n = 26). (D and E) Results of correlation analysis between PPARGC1A and TCA cycle enzymes (ACO2 and SUCLG1) in TCGA KIRC data set for renal tumors. Data extracted using GEPIA web server.

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