Co-Targeting FASN and mTOR Suppresses Uveal Melanoma Growth
暂无分享,去创建一个
A. Aplin | J. Harbour | Dzmitry Mukha | P. Wedegaertner | Takami Sato | M. Terai | Meggie Danielson | Z. Schug | S. Landreville | Vivian Chua | Manoela Tiago | Timothy J. Purwin | Anna Han | Usman Baqai | B. Modasia | M. Davies | Stefan Kurtenbach | Nelisa Bechtel | Emily Hunter | Jenna L. Aumiller
[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.