Co-Targeting FASN and mTOR Suppresses Uveal Melanoma Growth

Simple Summary Metastatic uveal melanoma is often difficult to treat due to the lack of effective treatment options. Cancer cells rewire their metabolic features to support their energy needs for tumor growth and progression, and therefore targeting metabolic pathways may be a potential therapeutic approach in uveal melanoma. We aimed to identify unique metabolic features between uveal melanoma and normal uveal melanocytes and found that uveal melanoma cells expressed elevated levels of enzymes involved in lipid/fat metabolism such as fatty acid synthase (FASN). This was also associated with activation of the mTOR pathway. We then determined that inhibitors of FASN and mTOR led to the suppression of uveal melanoma cell growth. Our findings identified metabolic features that are unique in uveal melanoma compared to normal uveal melanocytes. Targeting of these features can lead to inhibition of cell growth and hence may be considered as a novel approach for the treatment of uveal melanoma. Abstract Uveal melanoma (UM) displays a high frequency of metastasis; however, effective therapies for metastatic UM are limited. Identifying unique metabolic features of UM may provide a potential targeting strategy. A lipid metabolism protein expression signature was induced in a normal choroidal melanocyte (NCM) line transduced with GNAQ (Q209L), a driver in UM growth and development. Consistently, UM cells expressed elevated levels of fatty acid synthase (FASN) compared to NCMs. FASN upregulation was associated with increased mammalian target of rapamycin (mTOR) activation and sterol regulatory element-binding protein 1 (SREBP1) levels. FASN and mTOR inhibitors alone significantly reduced UM cell growth. Concurrent inhibition of FASN and mTOR further reduced UM cell growth by promoting cell cycle arrest and inhibiting glucose utilization, TCA cycle metabolism, and de novo fatty acid biosynthesis. Our findings indicate that FASN is important for UM cell growth and co-inhibition of FASN and mTOR signaling may be considered for treatment of UM.

[1]  A. Amsterdam,et al.  MITF deficiency accelerates GNAQ-driven uveal melanoma , 2022, Proceedings of the National Academy of Sciences of the United States of America.

[2]  A. Aplin,et al.  The future of targeted kinase inhibitors in melanoma , 2022, Pharmacology & therapeutics.

[3]  D. Speicher,et al.  Pyruvate dehydrogenase inactivation causes glycolytic phenotype in BAP1 mutant uveal melanoma , 2022, Oncogene.

[4]  C. Dang,et al.  Targeting cancer metabolism in the era of precision oncology , 2021, Nature reviews. Drug discovery.

[5]  R. Sullivan,et al.  Overall Survival Benefit with Tebentafusp in Metastatic Uveal Melanoma. , 2021, The New England journal of medicine.

[6]  A. Aplin,et al.  The AMP‐dependent kinase pathway is upregulated in BAP1 mutant uveal melanoma , 2021, Pigment cell & melanoma research.

[7]  A. Aplin,et al.  Metabolic Alterations and Therapeutic Opportunities in Rare Forms of Melanoma. , 2021, Trends in cancer.

[8]  A. Aplin,et al.  Roles of the BAP1 Tumor Suppressor in Cell Metabolism , 2021, Cancer Research.

[9]  D. Speicher,et al.  BAP1 mutant uveal melanoma is stratified by metabolic phenotypes with distinct vulnerability to metabolic inhibitors , 2020, Oncogene.

[10]  Ju-Eun Oh,et al.  Deciphering Fatty Acid Synthase Inhibition-Triggered Metabolic Flexibility in Prostate Cancer Cells through Untargeted Metabolomics , 2020, Cells.

[11]  J. Utikal,et al.  Update on GNA Alterations in Cancer: Implications for Uveal Melanoma Treatment , 2020, Cancers.

[12]  J. Pearson,et al.  Whole genome landscapes of uveal melanoma show an ultraviolet radiation signature in iris tumours , 2020, Nature Communications.

[13]  M. Vinciguerra,et al.  Loss of macroH2A1 decreases mitochondrial metabolism and reduces the aggressiveness of uveal melanoma cells , 2020, Aging.

[14]  E. Larsson,et al.  Molecular profiling of driver events in metastatic uveal melanoma , 2020, Nature Communications.

[15]  Michael A. Durante,et al.  Single-cell analysis reveals new evolutionary complexity in uveal melanoma , 2020, Nature Communications.

[16]  Chandan Seth Nanda,et al.  Defining a metabolic landscape of tumours: genome meets metabolism , 2019, British Journal of Cancer.

[17]  Nikos Koundouros,et al.  Reprogramming of fatty acid metabolism in cancer , 2019, British Journal of Cancer.

[18]  J. Utikal,et al.  Combined immune checkpoint blockade for metastatic uveal melanoma: a retrospective, multi-center study , 2019, Journal of Immunotherapy for Cancer.

[19]  N. Chandel,et al.  Essentiality of fatty acid synthase in the 2D to anchorage-independent growth transition in transforming cells , 2019, Nature Communications.

[20]  Y. Qi,et al.  Elevated Endogenous SDHA Drives Pathological Metabolism in Highly Metastatic Uveal Melanoma , 2019, Investigative ophthalmology & visual science.

[21]  M. L. King,et al.  BAP1 regulates epigenetic switch from pluripotency to differentiation in developmental lineages giving rise to BAP1-mutant cancers , 2019, Science Advances.

[22]  A. Jetten,et al.  Vitamin D receptors (VDR), hydroxylases CYP27B1 and CYP24A1 and retinoid-related orphan receptors (ROR) level in human uveal tract and ocular melanoma with different melanization levels , 2019, Scientific Reports.

[23]  R. Russell,et al.  Illuminating G-Protein-Coupling Selectivity of GPCRs , 2019, Cell.

[24]  Paul J. Hoffman,et al.  Comprehensive Integration of Single-Cell Data , 2018, Cell.

[25]  S. Souto,et al.  Uveal melanoma: physiopathology and new in situ-specific therapies , 2019, Cancer Chemotherapy and Pharmacology.

[26]  D. Adams,et al.  Melanoma subtypes: genomic profiles, prognostic molecular markers and therapeutic possibilities , 2019, The Journal of pathology.

[27]  S. Proulx,et al.  Characterization of a tissue-engineered choroid. , 2019, Acta biomaterialia.

[28]  D. Lipsker,et al.  Efficacy of Immunotherapy in Patients with Metastatic Mucosal or Uveal Melanoma , 2018, Journal of oncology.

[29]  H. Moseley,et al.  Preclinical evaluation of novel fatty acid synthase inhibitors in primary colorectal cancer cells and a patient-derived xenograft model of colorectal cancer , 2018, Oncotarget.

[30]  Paul Hoffman,et al.  Integrating single-cell transcriptomic data across different conditions, technologies, and species , 2018, Nature Biotechnology.

[31]  C. Berking,et al.  Selumetinib in Combination With Dacarbazine in Patients With Metastatic Uveal Melanoma: A Phase III, Multicenter, Randomized Trial (SUMIT). , 2018, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[32]  U. Ray,et al.  Aberrant lipid metabolism in cancer cells – the role of oncolipid‐activated signaling , 2018, The FEBS journal.

[33]  Binbin Xu,et al.  Genome-Wide Analysis of Uveal Melanoma Metastasis-Associated LncRNAs and Their Functional Network. , 2017, DNA and cell biology.

[34]  A. Aplin,et al.  Novel therapeutic strategies and targets in advanced uveal melanoma , 2017, Current opinion in oncology.

[35]  G. Petrovski,et al.  Multicellular tumor spheroids of human uveal melanoma induce genes associated with anoikis resistance, lipogenesis, and SSXs , 2017, Molecular vision.

[36]  J. Menéndez,et al.  Fatty acid synthase (FASN) as a therapeutic target in breast cancer , 2017, Expert opinion on therapeutic targets.

[37]  R. Chen,et al.  TIP30 regulates lipid metabolism in hepatocellular carcinoma by regulating SREBP1 through the Akt/mTOR signaling pathway , 2017, Oncogenesis.

[38]  J. Kellum,et al.  Metabolic reprogramming and tolerance during sepsis-induced AKI , 2017, Nature Reviews Nephrology.

[39]  Richard D Carvajal,et al.  Uveal melanoma: epidemiology, etiology, and treatment of primary disease , 2017, Clinical ophthalmology.

[40]  A. Aplin,et al.  Co-targeting HGF/cMET Signaling with MEK Inhibitors in Metastatic Uveal Melanoma , 2017, Molecular Cancer Therapeutics.

[41]  R. Reis,et al.  Vemurafenib resistance increases melanoma invasiveness and modulates the tumor microenvironment by MMP-2 upregulation. , 2016, Pharmacological research.

[42]  A. Schulze,et al.  Lipid desaturation – the next step in targeting lipogenesis in cancer? , 2016, The FEBS journal.

[43]  R. Beynon,et al.  In-depth proteomic profiling of the uveal melanoma secretome , 2016, Oncotarget.

[44]  Timothy A J Haystead,et al.  Fasnall, a Selective FASN Inhibitor, Shows Potent Anti-tumor Activity in the MMTV-Neu Model of HER2(+) Breast Cancer. , 2016, Cell chemical biology.

[45]  Navdeep S. Chandel,et al.  Fundamentals of cancer metabolism , 2016, Science Advances.

[46]  S. Roman-Roman,et al.  The mTOR inhibitor Everolimus synergizes with the PI3K inhibitor GDC0941 to enhance anti-tumor efficacy in uveal melanoma , 2016, Oncotarget.

[47]  Linda Koshy Vaidyan,et al.  Inhibition of Fatty Acid Synthase Decreases Expression of Stemness Markers in Glioma Stem Cells , 2016, PloS one.

[48]  Suzanne F. Jones,et al.  Molecular Pathways: Fatty Acid Synthase , 2015, Clinical Cancer Research.

[49]  O. Delpuech,et al.  AZD2014, an Inhibitor of mTORC1 and mTORC2, Is Highly Effective in ER+ Breast Cancer When Administered Using Intermittent or Continuous Schedules , 2015, Molecular Cancer Therapeutics.

[50]  I. Ben-Sahra,et al.  Oncogenic PI3K and K-Ras stimulate de novo lipid synthesis through mTORC1 and SREBP , 2015, Oncogene.

[51]  Mihail I Mitov,et al.  Increased expression of fatty acid synthase provides a survival advantage to colorectal cancer cells via upregulation of cellular respiration , 2015, Oncotarget.

[52]  F. Khuri,et al.  Inhibition of mTOR complex 2 induces GSK3/FBXW7-dependent degradation of sterol regulatory element-binding protein 1 (SREBP1) and suppresses lipogenesis in cancer cells , 2015, Oncogene.

[53]  A. Nicolas,et al.  Establishment of novel cell lines recapitulating the genetic landscape of uveal melanoma and preclinical validation of mTOR as a therapeutic target , 2014, Molecular oncology.

[54]  A. D. Van den Abbeele,et al.  Metabolic response by FDG-PET to imatinib correlates with exon 11 KIT mutation and predicts outcome in patients with mucosal melanoma , 2014, Cancer Imaging.

[55]  C. Emery,et al.  Combined PKC and MEK inhibition in uveal melanoma with GNAQ and GNA11 mutations , 2014, Oncogene.

[56]  P. Mischel,et al.  Targeting SREBP-1-driven lipid metabolism to treat cancer. , 2014, Current pharmaceutical design.

[57]  Mong-Hong Lee,et al.  Cancer metabolic reprogramming: importance, main features, and potentials for precise targeted anti-cancer therapies , 2014, Cancer biology & medicine.

[58]  Robert V Farese,et al.  Cellular fatty acid metabolism and cancer. , 2013, Cell metabolism.

[59]  G. Schwartz,et al.  Impact of Combined mTOR and MEK Inhibition in Uveal Melanoma Is Driven by Tumor Genotype , 2012, PloS one.

[60]  Kevin W Eliceiri,et al.  NIH Image to ImageJ: 25 years of image analysis , 2012, Nature Methods.

[61]  M. Laplante,et al.  Connecting mTORC1 signaling to SREBP-1 activation , 2012, Current opinion in lipidology.

[62]  M. V. Heiden,et al.  Targeting cancer metabolism: a therapeutic window opens , 2011, Nature Reviews Drug Discovery.

[63]  Songnian Hu,et al.  A Comparative Transcriptomic Analysis of Uveal Melanoma and Normal Uveal Melanocyte , 2011, PloS one.

[64]  Joshua D Rabinowitz,et al.  Metabolomic analysis and visualization engine for LC-MS data. , 2010, Analytical chemistry.

[65]  G. Semenza,et al.  Inhibition of lactate dehydrogenase A induces oxidative stress and inhibits tumor progression , 2010, Proceedings of the National Academy of Sciences.

[66]  E. Simpson,et al.  Frequent somatic mutations of GNAQ in uveal melanoma and blue nevi , 2008, Nature.

[67]  G. Mills,et al.  Reverse phase protein array: validation of a novel proteomic technology and utility for analysis of primary leukemia specimens and hematopoietic stem cells , 2006, Molecular Cancer Therapeutics.

[68]  Pablo Tamayo,et al.  Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[69]  Arun D. Singh,et al.  Uveal melanoma: epidemiologic aspects. , 2005, Ophthalmology clinics of North America.

[70]  M. Daly,et al.  PGC-1α-responsive genes involved in oxidative phosphorylation are coordinately downregulated in human diabetes , 2003, Nature Genetics.

[71]  C K Osborne,et al.  Estrogen receptor status by immunohistochemistry is superior to the ligand-binding assay for predicting response to adjuvant endocrine therapy in breast cancer. , 1999, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[72]  R. Ritch,et al.  Studies of human uveal melanocytes in vitro: isolation, purification and cultivation of human uveal melanocytes. , 1993, Investigative ophthalmology & visual science.

[73]  J. Kwiatkowski,et al.  Lipogenetic and glycolytic enzyme activities in carcinoma and nonmalignant diseases of the human breast. , 1979, British Journal of Cancer.

[74]  Susumu Goto,et al.  KEGG: Kyoto Encyclopedia of Genes and Genomes , 2000, Nucleic Acids Res..

[75]  S. Weinhouse,et al.  Metabolism of neoplastic tissue. IV. A study of lipid synthesis in neoplastic tissue slices in vitro. , 1953, Cancer research.