Epigenetic suppression of PGC1α (PPARGC1A) causes collateral sensitivity to HMGCR-inhibitors within BRAF-treatment resistant melanomas.
Jiaxin LiangDeyang YuChi LuoChristopher BennettMark JedrychowskiSteven P GygiHans R WidlundPere PuigserverPublished in: Nature communications (2023)
While targeted treatment against BRAF(V600E) improve survival for melanoma patients, many will see their cancer recur. Here we provide data indicating that epigenetic suppression of PGC1α defines an aggressive subset of chronic BRAF-inhibitor treated melanomas. A metabolism-centered pharmacological screen further identifies statins (HMGCR inhibitors) as a collateral vulnerability within PGC1α-suppressed BRAF-inhibitor resistant melanomas. Lower PGC1α levels mechanistically causes reduced RAB6B and RAB27A expression, whereby their combined re-expression reverses statin vulnerability. BRAF-inhibitor resistant cells with reduced PGC1α have increased integrin-FAK signaling and improved extracellular matrix detached survival cues that helps explain their increased metastatic ability. Statin treatment blocks cell growth by lowering RAB6B and RAB27A prenylation that reduces their membrane association and affects integrin localization and downstream signaling required for growth. These results suggest that chronic adaptation to BRAF-targeted treatments drive novel collateral metabolic vulnerabilities, and that HMGCR inhibitors may offer a strategy to treat melanomas recurring with suppressed PGC1α expression.
Keyphrases
- skeletal muscle
- metastatic colorectal cancer
- poor prognosis
- wild type
- extracellular matrix
- cardiovascular disease
- end stage renal disease
- gene expression
- dna methylation
- chronic kidney disease
- climate change
- newly diagnosed
- squamous cell carcinoma
- coronary artery disease
- induced apoptosis
- binding protein
- cancer therapy
- long non coding rna
- type diabetes
- high throughput
- prognostic factors
- drug delivery
- cell proliferation
- signaling pathway
- lymph node metastasis
- cell adhesion
- combination therapy
- pi k akt
- data analysis