Molecular Profiling Reveals Unique Immune and Metabolic Features of Melanoma Brain Metastases.
Grant M FischerAli JalaliDavid A KircherWon-Chul LeeJennifer Leigh McQuadeLauren E HayduAron Y JoonAlexandre ReubenMariana P de MacedoFernando C L CarapetoChendong YangAnuj SrivastavaChandrashekar R AmbatiArun SreekumarCourtney W HudgensBarbara KnightonWanleng DengSherise D FergusonHussein A TawbiIsabella C GlitzaJeffrey E GershenwaldY N Vashisht GopalPatrick HwuJason T HuseJennifer A WargoP Andrew FutrealNagireddy PutluriAlexander J F LazarRalph J DeBerardinisJoseph R MarszalekJianjun ZhangSheri L HolmenMichael T TetzlaffMichael A DaviesPublished in: Cancer discovery (2019)
There is a critical need to improve our understanding of the pathogenesis of melanoma brain metastases (MBM). Thus, we performed RNA sequencing on 88 resected MBMs and 42 patient-matched extracranial metastases; tumors with sufficient tissue also underwent whole-exome sequencing, T-cell receptor sequencing, and IHC. MBMs demonstrated heterogeneity of immune infiltrates that correlated with prior radiation and post-craniotomy survival. Comparison with patient-matched extracranial metastases identified significant immunosuppression and enrichment of oxidative phosphorylation (OXPHOS) in MBMs. Gene-expression analysis of intracranial and subcutaneous xenografts, and a spontaneous MBM model, confirmed increased OXPHOS gene expression in MBMs, which was also detected by direct metabolite profiling and [U-13C]-glucose tracing in vivo. IACS-010759, an OXPHOS inhibitor currently in early-phase clinical trials, improved survival of mice bearing MAPK inhibitor-resistant intracranial melanoma xenografts and inhibited MBM formation in the spontaneous MBM model. The results provide new insights into the pathogenesis and therapeutic resistance of MBMs. SIGNIFICANCE: Improving our understanding of the pathogenesis of MBMs will facilitate the rational development and prioritization of new therapeutic strategies. This study reports the most comprehensive molecular profiling of patient-matched MBMs and extracranial metastases to date. The data provide new insights into MBM biology and therapeutic resistance.See related commentary by Egelston and Margolin, p. 581.This article is highlighted in the In This Issue feature, p. 565.
Keyphrases
- brain metastases
- single cell
- gene expression
- small cell lung cancer
- internal carotid artery
- case report
- clinical trial
- dna methylation
- machine learning
- signaling pathway
- emergency department
- oxidative stress
- randomized controlled trial
- free survival
- deep learning
- skeletal muscle
- metabolic syndrome
- blood pressure
- big data
- basal cell carcinoma
- study protocol
- blood glucose
- pi k akt
- drug induced
- high fat diet induced
- insulin resistance
- type diabetes
- phase iii
- radiation therapy
- protein kinase
- prognostic factors
- clinical evaluation
- middle cerebral artery