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Folliculin impairs breast tumor growth by repressing TFE3-dependent induction of the Warburg effect and angiogenesis
Leeanna El-Houjeiri, … , Peter M. Siegel, Arnim Pause
Leeanna El-Houjeiri, … , Peter M. Siegel, Arnim Pause
Published November 15, 2021
Citation Information: J Clin Invest. 2021;131(22):e144871. https://doi.org/10.1172/JCI144871.
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Research Article Angiogenesis Metabolism

Folliculin impairs breast tumor growth by repressing TFE3-dependent induction of the Warburg effect and angiogenesis

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Abstract

Growing tumors exist in metabolically compromised environments that require activation of multiple pathways to scavenge nutrients to support accelerated rates of growth. The folliculin (FLCN) tumor suppressor complex (FLCN, FNIP1, FNIP2) is implicated in the regulation of energy homeostasis via 2 metabolic master kinases: AMPK and mTORC1. Loss-of-function mutations of the FLCN tumor suppressor complex have only been reported in renal tumors in patients with the rare Birt-Hogg-Dube syndrome. Here, we revealed that FLCN, FNIP1, and FNIP2 are downregulated in many human cancers, including poor-prognosis invasive basal-like breast carcinomas where AMPK and TFE3 targets are activated compared with the luminal, less aggressive subtypes. FLCN loss in luminal breast cancer promoted tumor growth through TFE3 activation and subsequent induction of several pathways, including autophagy, lysosomal biogenesis, aerobic glycolysis, and angiogenesis. Strikingly, induction of aerobic glycolysis and angiogenesis in FLCN-deficient cells was dictated by the activation of the PGC-1α/HIF-1α pathway, which we showed to be TFE3 dependent, directly linking TFE3 to Warburg metabolic reprogramming and angiogenesis. Conversely, FLCN overexpression in invasive basal-like breast cancer models attenuated TFE3 nuclear localization, TFE3-dependent transcriptional activity, and tumor growth. These findings support a general role of a deregulated FLCN/TFE3 tumor suppressor pathway in human cancers.

Authors

Leeanna El-Houjeiri, Marco Biondini, Mathieu Paquette, Helen Kuasne, Alain Pacis, Morag Park, Peter M. Siegel, Arnim Pause

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Figure 3

Loss of FLCN in MCF7 cells enhances cellular metabolism in a TFE3-dependent manner.

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Loss of FLCN in MCF7 cells enhances cellular metabolism in a TFE3-depend...
(A) Fold change in ATP levels in empty vector (EV) and FLCN-knockout (FLCNKO) MCF7 cells transfected with nontargeting (NT) siRNA control or siRNA targeting TFE3, after 48 hours of transfection as measured by CellTiter-Glo Luminescent Cell Viability Assay. Data represent the average ± SEM of at least n = 3 independent experiments, each performed in triplicate. Statistical significance was determined using 2-way ANOVA with Bonferroni’s multiple-comparison correction. **P < 0.01; ****P < 0.0001. (B) Glucose consumption and lactate production levels in the cellular media were measured using a NOVA Bioanalysis flux analyzer in EV and FLCNKO MCF7 cells transfected with nontargeting (NT) control siRNA or siRNA targeting TFE3 after 48 hours of transfection. Data represent the average ± SEM of at least n = 3 independent experiments, each performed in triplicate. Statistical significance was determined using 2-way ANOVA with Bonferroni’s multiple-comparison correction. **P < 0.01; ****P < 0.0001. (C and D) Basal extracellular acidification rate (ECAR) (C) and oxygen consumption rate (OCR) (D) in EV and FLCNKO MCF7 cells transfected with NT control siRNA or siRNAs targeting TFE3, after 48 hours of transfection, measured by Seahorse Bioscience XF96 extracellular flux analyzer. Data represent the average ± SEM of at least n = 3 independent experiments, each performed in triplicate. Statistical significance was determined using 2-way ANOVA with Bonferroni’s multiple-comparison correction. **P < 0.01; ****P < 0.0001. (E) Relative mRNA levels of TFE3 and glycolysis-related genes measured by RT-qPCR in EV and FLCNKO MCF7 cells transfected with nontargeting (NT) control siRNA or siRNA targeting TFE3. Data represent the average ± SEM of n = 6 independent experiments, each performed in triplicate, where each point represents the average of the triplicate. Statistical significance was determined using 2-way ANOVA with Bonferroni’s multiple-comparison correction. ***P < 0.001; ****P < 0.0001. NS, not significant.

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