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A melanocyte lineage program confers resistance to MAP kinase pathway inhibition
Open accessAbstract
Malignant melanomas harbouring point mutations (Val600Glu) in the serine/threonine-protein kinase BRAF (BRAF(V600E)) depend on RAF-MEK-ERK signalling for tumour cell growth. RAF and MEK inhibitors show remarkable clinical efficacy in BRAF(V600E) melanoma; however, resistance to these agents remains a formidable challenge. Global characterization of resistance mechanisms may inform the development of more effective therapeutic combinations. Here we carried out systematic gain-of-function resistance studies by expressing more than 15,500 genes individually in a BRAF(V600E) melanoma cell line treated with RAF, MEK, ERK or combined RAF-MEK inhibitors. These studies revealed a cyclic-AMP-dependent melanocytic signalling network not previously associated with drug resistance, including G-protein-coupled receptors, adenyl cyclase, protein kinase A and cAMP response element binding protein (CREB). Preliminary analysis of biopsies from BRAF(V600E) melanoma patients revealed that phosphorylated (active) CREB was suppressed by RAF-MEK inhibition but restored in relapsing tumours. Expression of transcription factors activated downstream of MAP kinase and cAMP pathways also conferred resistance, including c-FOS, NR4A1, NR4A2 and MITF. Combined treatment with MAPK-pathway and histone-deacetylase inhibitors suppressed MITF expression and cAMP-mediated resistance. Collectively, these data suggest that oncogenic dysregulation of a melanocyte lineage dependency can cause resistance to RAF-MEK-ERK inhibition, which may be overcome by combining signalling- and chromatin-directed therapeutics.
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“Notably, sgRNAs targeting ETS2 were significantly depleted, consistent with a previous finding of its emergence as a resistance hit through a gain-of-function screen for resistance to MAPK pathway inhibitors in BRAF V600E melanoma.49”
From Paneth-like transition drives resistance to dual targeting of KRAS and EGFR in colorectal cancer (2026) · cites this paper as [49]
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“Consistent with this, analysis of primary CRC samples from previously published cohorts49 revealed strong positive correlations between SMAD1 expression, FGFR1 and FGFR3 signaling activity, and Paneth cell signatures (Figures S6A and S6B).”
From Paneth-like transition drives resistance to dual targeting of KRAS and EGFR in colorectal cancer (2026) · cites this paper as [49]
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“In melanoma, core regulators of neural crest lineage, MITF and SOX10, regulate the emergence of distinct cell states associated with drug tolerance establishment after treatment [61,82,83,84].”
From Emerging Insights into Targeted Therapy-Tolerant Persister Cells in Cancer (2021) · cites this paper as [82]
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Improved survival with vemurafenib in melanoma with BRAF V600E mutation
Chapman, P. B., Hauschild, A., Robert, C., Haanen, J. B., Ascierto, P., Larkin, J., Dummer, R., Garbe, C., Testori, A., Maio, M., et al. (2011) · New England Journal of Medicine · doi:10.1056/nejmoa1103782 · Cited by 7,720
Self-citationCombined BRAF and MEK inhibition in melanoma with BRAF V600 mutations
Flaherty, K. T., Infante, J. R., Daud, A., Gonzalez, R., Kefford, R. F., Sosman, J., Hamid, O., Schuchter, L., Cebon, J., Ibrahim, N., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1210093 · Cited by 2,810
Self-citationPierce, K. L., Premont, R. T., & Lefkowitz, R. J. (2002) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm908 · Cited by 2,712
Improved Survival with MEK Inhibition in BRAF-Mutated Melanoma
Flaherty, K. T., Robert, C., Hersey, P., Nathan, P., Garbe, C., Milhem, M. M., Демидов, Л. В., Hassel, J. C., Rutkowski, P. L., Mohr, P., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1203421 · Cited by 2,205
Self-citationGarraway, L. A., Widlund, H. R., Rubin, M. A., Getz, G., Berger, A. J., Ramaswamy, S., Beroukhim, R., Milner, D. A., Granter, S. R., Du, J., et al. (2005) · Nature · doi:10.1038/nature03664 · Cited by 1,548
Self-citationCOT drives resistance to RAF inhibition through MAP kinase pathway reactivation
Johannessen, C. M., Boehm, J. S., Kim, S. Y., Thomas, S. R., Wardwell, L., Johnson, L. A., Emery, C. M., Stransky, N., Cogdill, A. P., Barretina, J., et al. (2010) · Nature · doi:10.1038/nature09627 · Cited by 1,460
Self-citationImproved survival with MEK Inhibition in BRAF-mutated melanoma for the METRIC Study Group
Flaherty, K. T., Robert, C., Hersey, P., Nathan, P., Garbe, C., Milhem, M. M., Демидов, Л. В., Hassel, J. C., Rutkowski, P. L., Mohr, P., et al. (2012) · Zurich Open Repository and Archive (University of Zurich) · doi:10.5167/uzh-63198 · Cited by 1,330
Self-citationBRAF mutation predicts sensitivity to MEK inhibition
Solit, D. B., Garraway, L. A., Pratilas, C. A., Sawai, A., Getz, G. A., Basso, A., Ye, Q., Lobo, J. M., She, Y., Osman, I., et al. (2005) · Nature · doi:10.1038/nature04304 · Cited by 1,326
Self-citationRaf-1 activates MAP kinase-kinase
Kyriakis, J. M., App, H., Zhang, X., Banerjee, P. T., Brautigan, D. L., Rapp, U. R., & Avruch, J. (1992) · Nature · doi:10.1038/358417a0 · Cited by 1,263
Hodgkinson, C. A., Moore, K. J., Nakayama, A., Steingrı́msson, E., Copeland, N. G., Jenkins, N. A., & Arnheiter, H. (1993) · Cell · doi:10.1016/0092-8674(93)90429-t · Cited by 1,092
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Ethanol Metabolism and Melanoma
Zhai, Z., Yamauchi, T., Shangraw, S., Hou, V., Matsumoto, A., & Fujita, M. (2023) · Cancers · doi:10.3390/cancers15041258 · Cited by 15
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Bernatchez, C., Cooper, Z. A., Wargo, J. A., Hwu, P., & Lizee, G. A. (2015) · Cancer treatment and research · doi:10.1007/978-3-319-22539-5_16 · Cited by 15
Self-citationKundu, A., Khouri, M. G., Aryana, S., & Firestone, G. L. (2017) · Carcinogenesis · doi:10.1093/carcin/bgx103 · Cited by 15
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Ahmed, R. A., Muralidharan, R., Srivastava, A., Johnston, S. E., Zhao, Y. D., Ekmekçioglu, S., Munshi, A., & Ramesh, R. (2021) · Cancers · doi:10.3390/cancers13020166 · Cited by 15
The epigenome and the many facets of cancer drug tolerance
Moore, P. C., Henderson, K. W., & Classon, M. (2023) · Advances in cancer research · doi:10.1016/bs.acr.2022.12.002 · Cited by 14
The chilling of adenylyl cyclase 9 and its translational potential
Antoni, F. A. (2020) · Cellular Signalling · doi:10.1016/j.cellsig.2020.109589 · Cited by 14
Generation and analysis of zebrafish melanoma models
Wojciechowska, S., van Rooijen, E., Ceol, C. J., Patton, E. E., & White, R. M. (2016) · Methods in cell biology · doi:10.1016/bs.mcb.2016.03.008 · Cited by 13
Identification of Upstream Kinases by Fluorescence Complementation Mass Spectrometry
Zeng, L., Wang, W., Arrington, J. V., Shao, G., Geahlen, R. L., Hu, C., & Tao, W. A. (2017) · ACS Central Science · doi:10.1021/acscentsci.7b00261 · Cited by 13
Optogenetics in cancer drug discovery
Kiełbus, M., Czapiński, J., Odrzywolski, A., Stasiak, G., Szymanska, K., Kałafut, J., Kos, M., Giannopoulos, K., Stepulak, A., & Rivero‐Müller, A. (2018) · Expert Opinion on Drug Discovery · doi:10.1080/17460441.2018.1437138 · Cited by 13
A novel anti-melanoma SRC-family kinase inhibitor
Halaban, R., Bacchiocchi, A., Straub, R., Cao, J. P., Sznol, M., Narayan, D., Allam, A., Krauthammer, M. O., & Mansour, T. S. (2019) · Oncotarget · doi:10.18632/oncotarget.26787 · Cited by 13
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Zhang, C., Zhu, X., Hou, S., Pan, W., & Liao, W. (2022) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2022.887548 · Cited by 13
Targeting intracellular proteins with cell type-specific functions for cancer immunotherapy
Carelock, M. E., Master, R. P., Kim, M., Jin, Z., Wang, L. A., Maharjan, C. K., Hua, N., De, U., Kolb, R. H., Xiao, Y., et al. (2023) · Life Medicine · doi:10.1093/lifemedi/lnad019 · Cited by 13
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Alifrangis, C., & McDermott, U. (2014) · Molecular Oncology · doi:10.1016/j.molonc.2014.05.014 · Cited by 13
Baek, S., Kang, M.-G., & Park, D. (2020) · Current Pharmaceutical Biotechnology · doi:10.2174/1389201020666191011151123 · Cited by 13
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Zhou, X., Li, X., Liao, L., Han, J., Huang, J. L., Li, J., Tao, H., Fan, S., Chen, Z., Li, Q., et al. (2021) · Acta Pharmacologica Sinica · doi:10.1038/s41401-021-00643-2 · Cited by 13
Dorighi, K. M., Zhu, A., Fortin, J., Lo, J. H.-H., Sudhamsu, J., Wendorff, T. J., Durinck, S., Callow, M. G., Foster, S. A., & Haley, B. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.114313 · Cited by 11
eIF4F controls ERK MAPK signaling in melanomas with BRAF and NRAS mutations
Valčíková, B., Vadovičová, N., Smolkova, K., Zacpalova, M., Krejčı́, P., Lee, S., Rauch, J., Kölch, W., von Kriegsheim, A., Dorotikova, A., et al. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2321305121 · Cited by 12
Potential of Farnesyl Transferase Inhibitors in Combination Regimens in Squamous Cell Carcinomas
Kessler, L. V., Malik, S., Leoni, M., & Burrows, F. J. (2021) · Cancers · doi:10.3390/cancers13215310 · Cited by 12
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Capaldo, B. J., Roller, D. G., Axelrod, M. J., Koeppel, A. F., Petricoin, E. F., Slingluff, C. L., Weber, M. J., Mackey, A. J., Gioeli, D. G., & Bekiranov, S. (2015) · PLoS ONE · doi:10.1371/journal.pone.0138210 · Cited by 12
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Smith, A. M., Zhang, C. R., Cristino, A. S., Grady, J. P., Fink, J. L., & Moore, A. S. (2019) · Oncotarget · doi:10.18632/oncotarget.27206 · Cited by 12
Schäfer, A., Haenig, B., Erupathil, J., Strickner, P., Sabato, D., Welford, R. W. D., Klaeylé, L., Simon, E., Krepler, C., Brafford, P. A., et al. (2021) · Oncogene · doi:10.1038/s41388-020-01628-x · Cited by 12
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Aida, S., Sonobe, Y., Yuhki, M., Sakata, K., Fujii, T., Sakamoto, H., & Mizuno, T. (2017) · Cancer Chemotherapy and Pharmacology · doi:10.1007/s00280-017-3317-6 · Cited by 12
Li, J., Hu, W., Luo, S., Xiong, D., Sun, S., Wang, Y., Bu, X., Liu, J., & Hu, J. (2019) · Cellular Signalling · doi:10.1016/j.cellsig.2019.04.012 · Cited by 11
Dong, X., Zeng, W., Zhang, W., Lan, Y., Wang, Y., Feng, J., Gu, L., & Lü, H. (2022) · Journal of Investigative Dermatology · doi:10.1016/j.jid.2022.04.022 · Cited by 11
Liu, Y., Ruan, H., Lu, F., Peng, H., & Luan, W. (2023) · Pathology - Research and Practice · doi:10.1016/j.prp.2023.154772 · Cited by 11
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Lee, K. H., Goh, J., Kim, Y., & Kim, K. (2020) · Scientific Reports · doi:10.1038/s41598-020-76909-2 · Cited by 10
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Oba, J., & Woodman, S. E. (2021) · The Journal of Dermatology · doi:10.1111/1346-8138.15957 · Cited by 10
Maskin, C. R., Raman, R., & Houvras, Y. J. (2022) · Scientific Reports · doi:10.1038/s41598-022-08936-0 · Cited by 11
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Lissek, T. (2024) · FEBS Journal · doi:10.1111/febs.17324 · Cited by 12
Gesbert, F., & Larue, L. (2018) · médecine/sciences · doi:10.1051/medsci/20183405013 · Cited by 10
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de Oliveira, E. A., Chauhan, J. S., da Silva, J. R., Carvalho, L. A. D. C., Dias, D., de Carvalho, D. G., Watanabe, L. R. M., Rebecca, V. W., Mills, G. B., Lu, Y., et al. (2021) · Pharmacological Research · doi:10.1016/j.phrs.2021.105911 · Cited by 11
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Zhang, L., & Goodrich, D. W. (2022) · Annual Review of Cancer Biology · doi:10.1146/annurev-cancerbio-070120-092840 · Cited by 10
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Hutchinson, E. (2013) · Molecular Oncology · doi:10.1016/j.molonc.2013.12.008 · Cited by 10
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Rosero, R. A., Villares, G. J., & Bar‐Eli, M. (2016) · Frontiers in Genetics · doi:10.3389/fgene.2016.00112 · Cited by 10
Rodríguez, C. I., Castro‐Pérez, E., Longley, B. J., & Setaluri, V. (2017) · Cancer Letters · doi:10.1016/j.canlet.2017.11.027 · Cited by 11
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Barreno, A., & Orgaz, J. L. (2022) · Cells · doi:10.3390/cells11030518 · Cited by 9
Linking SOX10 to a slow-growth resistance phenotype
Zhang, G., & Herlyn, M. (2014) · Cell Research · doi:10.1038/cr.2014.67 · Cited by 9
Many Distinct Ways Lead to Drug Resistance in BRAF- and NRAS-Mutated Melanomas
Vachtenheim, J., & Ondrušová, Ľ. (2021) · Life · doi:10.3390/life11050424 · Cited by 10
Carper, M. B., Goel, S., Zhang, A. M., Damrauer, J. S., Cohen, S. M., Zimmerman, M. P., Gentile, G. M., Parag‐Sharma, K., Murphy, R. M., Sato, K., et al. (2022) · Neoplasia · doi:10.1016/j.neo.2022.100799 · Cited by 9
Immune-checkpoint inhibitors in melanoma and kidney cancer: from sequencing to rational selection
Flynn, M., Pickering, L. M., Larkin, J., & Turajlic, S. (2018) · Therapeutic Advances in Medical Oncology · doi:10.1177/1758835918777427 · Cited by 9
Murali, V. S., Rajendran, D., Isogai, T., DeBerardinis, R. J., & Danuser, G. M. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.01.09.574940 · Cited by 9
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Sastry, K. S., Ibrahim, W. N., & Chouchane, A. I. (2020) · The FASEB Journal · doi:10.1096/fj.202001260rr · Cited by 8
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Ferguson, J., Wilcock, D. J., McEntegart, S., Badrock, A. P., Levesque, M. P., Dummer, R., Wellbrock, C., & Smith, M. P. (2019) · Pigment Cell & Melanoma Research · doi:10.1111/pcmr.12812 · Cited by 8
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Visa, A., Alza, L., Casas-Benito, A., Herreros, J., & Cantı́, C. (2021) · Drug Discovery Today · doi:10.1016/j.drudis.2021.11.021 · Cited by 7
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Kaushik, A. C., Mehmood, A., Wei, D., Nawab, S., Sahi, S., & Kumar, A. (2023) · Royal Society of Chemistry eBooks · doi:10.1039/9781839166037 · Cited by 7
Paradigm of biomarkers in metastatic melanoma (Review)
Pekarek, L., Cedra, A., Dbouk, Y., Ospino, L. R., Pedrejón, B. I., Bernier, L., Cervantes, E. D. R., Cendra, C. S., Cassinello, J., Trasobares, L., et al. (2024) · Oncology Letters · doi:10.3892/ol.2024.14824 · Cited by 9
Wu, L.-Z., Huang, Y., Hu, H.-J., Hong, W., Yan, H., Ai, Y.-L., Mi, X.-Y., Feng, D.-Y., Guo, J.-Y., Ding, Y., et al. (2025) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-025-02528-w · Cited by 6
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Kang, Y., Ji, Z., Li, H., & Tsao, H. (2022) · Journal of Investigative Dermatology · doi:10.1016/j.jid.2022.03.039 · Cited by 6
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Mukhtar, A., Morgan, H. J., Gibbs, A., Davies, G. E., Lovatt, C., & Patel, G. K. (2024) · British Journal of Dermatology · doi:10.1093/bjd/ljad502 · Cited by 6
A comprehensive review of targeting RAF kinase in cancer
Hossain, M. A. (2024) · European Journal of Pharmacology · doi:10.1016/j.ejphar.2024.177142 · Cited by 6
Progress towards precision functional genomics in cancer
Johannessen, C. M., & Boehm, J. S. (2017) · Current Opinion in Systems Biology · doi:10.1016/j.coisb.2017.02.002 · Cited by 6
Self-citationSingleton, K. R., & Wood, K. C. (2016) · Genes & Cancer · doi:10.18632/genesandcancer.112 · Cited by 6
Naffouje, S. A., Naffouje, R., Chen, J., & Salti, G. I. (2016) · Anticancer Research · doi:10.21873/anticanres.11266 · Cited by 7
Banik, I., Ghosh, A., Beebe, E., Burja, B., Frank‐Bertoncelj, M., Dooley, C. M., Markkanen, E., Dummer, R., Busch‐Nentwich, E. M., & Levesque, M. P. (2023) · Cancers · doi:10.3390/cancers15030877 · Cited by 7
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Bai, J. P. F., Sakellaropoulos, T., & Alexopoulos, L. G. (2017) · Toxins · doi:10.3390/toxins9030099 · Cited by 5
Wang, J., Fang, P., Chase, P. S., Tshori, S., Razin, E., Spicer, T., Scampavia, L. D., Hodder, P., & Guo, M. (2016) · SLAS DISCOVERY · doi:10.1177/1087057116675274 · Cited by 5
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Cooley, M., Fang, P., Fang, F., Nephew, K. P., & CHIEN, J. R. (2015) · Pharmacogenomics · doi:10.2217/pgs.15.130 · Cited by 5
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Lissek, T. (2024) · Biosystems · doi:10.1016/j.biosystems.2024.105381 · Cited by 6
Redondo-Muñoz, M., Caballé, A., Reisz, J. A., Valero-Leria, A., Olías-Arjona, A., Aldaz, P., D´Alessandro, A., Wellbrock, C., & Arozarena, I. (2026) · Cell Death and Disease · doi:10.1038/s41419-026-08578-4 · Cited by 4
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Sun, B., Kawahara, M., & Nagamune, T. (2014) · Cancer Medicine · doi:10.1002/cam4.233 · Cited by 4
Kiełbus, M., Rola, R., Jarosz, B., Jeleniewicz, W., Cybulski, M., Stenzel-Bembenek, A., Podkowiński, A., Smok-Kalwat, J., Polberg, K., Trojanowski, T., et al. (2021) · Anticancer Research · doi:10.21873/anticanres.14852 · Cited by 4
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Rodríguez, C. I., & Setaluri, V. (2018) · Oncoscience · doi:10.18632/oncoscience.463 · Cited by 5
Curiel‐Olmo, S., García‐Castaño, A., Vidal, R., Pisonero, H., Varela, I., León‐Castillo, A., Trillo, E. M., González‐Vela, C., García‐Díaz, N., Almaráz, C., et al. (2015) · Oncotarget · doi:10.18632/oncotarget.4545 · Cited by 4
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Cirinelli, A., Wheelan, J., Grieg, C., & Molina, C. A. F. (2022) · Experimental Cell Research · doi:10.1016/j.yexcr.2022.113083 · Cited by 3
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Larribère, L., & Utikal, J. S. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10153350 · Cited by 3
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Castro‐Pérez, E., Sadangi, S., Singh, M. K., & Setaluri, V. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-822135-8.00012-4 · Cited by 3
Lineage-Specific Transcription Factors in Carcinogenesis
David, C. J., & Vanharanta, S. (2024) · Annual Review of Cancer Biology · doi:10.1146/annurev-cancerbio-060524-105603 · Cited by 2
Khan, I. S., Rodriguez-Brotons, A., Bhattacharjee, A., Bezrookove, V., Dar, A. A., de Semir, D., Nosrati, M., Ice, R. J., Soroceanu, L., Leong, S. P. L., et al. (2025) · Journal of Clinical Investigation · doi:10.1172/jci185220 · Cited by 2
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Shen, W., Yang, H., Chen, Y., Bi, S., Liu, Z., Luo, K., Wang, Z., Wang, J., & Ding, K. (2025) · European Journal of Medicinal Chemistry · doi:10.1016/j.ejmech.2025.118367 · Cited by 2
Treatment resistance to melanoma therapeutics on a single cell level
Yao, L., Krasnick, B. A., Bi, Y., Sethuraman, S., Goedegebuure, S. P., Weerasinghe, A., Wetzel, C., Gao, Q., Oyedeji, A., Mudd, J. L., et al. (2024) · Scientific Reports · doi:10.1038/s41598-024-72255-9 · Cited by 2
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Ballesteros‐Álvarez, J., & Blázquez‐Medela, A. M. (2024) · DNA · doi:10.3390/dna4040025 · Cited by 2
Nardin, C., Fitzpatrick, L. A., & Zippin, J. (2014) · Cited by 2
Datta, K. K., Kore, H., & Gowda, H. (2024) · Experimental Cell Research · doi:10.1016/j.yexcr.2024.114215 · Cited by 2
Lattmann, E., Jovic, A., Kim, J. J., Pham, T., Corona, C., Lian, Z., Saini, K., Ray, M., Lu, V., Tastanova, A., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.06.28.601235 · Cited by 2
Baranovsky, A., Ivanov, T. M., Granovskaya, M., Papatsenko, D., & Pervouchine, D. D. (2022) · PLoS ONE · doi:10.1371/journal.pone.0268626 · Cited by 1
Mitochondrial signatures shape phenotype switching and apoptosis in response to PLK1 inhibitors
Lavallée, E., Roulet-Matton, M., Giang, V., Hurtado, R. C., Chaput, D., & Gravel, S. (2024) · Life Science Alliance · doi:10.26508/lsa.202402912 · Cited by 1
Chen, L., Pruteanu-Malinici, I., Dastur, A., Yin, X., Frederick, D. T., Sadreyev, R. I., & Benes, C. H. (2025) · Scientific Reports · doi:10.1038/s41598-025-86694-5 · Cited by 1
Self-citationAn endothelial cell competition assay for determinants of the response to targeted anti-angiogenics
Halford, M. M., He, M. Y., Amin, N., Paquet‐Fifield, S., Achen, M. G., Vincan, E., & Stacker, S. A. (2025) · Growth Factors · doi:10.1080/08977194.2025.2516463 · Cited by 1
Gu, J., Cheng, X., Xu, J., Cao, H., Liu, P., Wang, Z., Wu, P., Zhang, X. D., Thorne, R. F., Wang, H., et al. (2025) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2025.147504 · Cited by 1
PROTAC-based protein degradation: a window of opportunity for melanoma therapy
Gentile, G., D’Aguanno, S., Martile, M. D., Petricca, A., Valentini, E., Scalera, S., & Bufalo, D. D. (2026) · Journal of Biomedical Science · doi:10.1186/s12929-026-01225-2 · Cited by 1
Wu, Y., Ju, G., Zhou, X., Wu, J., Zheng, S., & Peng, C. (2026) · Journal of Zhejiang University SCIENCE B · doi:10.1631/jzus.b2500191 · Cited by 1
Predicting condition-aware drug-induced transcriptional responses via a latent diffusion model
Kim, C., & Yoo, S. (2026) · Bioinformatics · doi:10.1093/bioinformatics/btag173 · Cited by 1
Degefu, Y. N., Bujnowska, M., Baumann, D. G., & Fallahi‐Sichani, M. (2026) · Cell Reports · doi:10.1016/j.celrep.2026.117965 · Cited by 1
The UP s and DOWN s of MITF in melanoma resistance
Kim, H., & Ronai, Z. A. (2014) · Pigment Cell & Melanoma Research · doi:10.1111/pcmr.12338 · Cited by 1
Functionally Assessing Candidate Drivers Advances Precision Cancer Medicine
Scott, K. L., & Powers, S. (2016) · Cancer Cell · doi:10.1016/j.ccell.2016.07.011 · Cited by 1
[Hypercalcinosis of the hands in scleroderma. 2 case reports].
Eckardt, J., & Towfigh, H. (1994) · PubMed · Cited by 1
An exploitable Achilles heel of MITF?
Silva, C., & Ronai, Z. A. (2022) · Cell Research · doi:10.1038/s41422-022-00762-3 · Cited by 1
Insights into the human cDNA: A descriptive study using library screening in yeast
Alaswad, Z., Attallah, N. E., Aboalazm, B., Elmeslhy, E. S., Mekawy, A. S., Afify, F. A., Mahrous, H. K., Abdalla, A., Rahmoon, M. A., Mohamed, A. A., et al. (2024) · Journal of Genetic Engineering and Biotechnology · doi:10.1016/j.jgeb.2024.100427 · Cited by 1
Żuwała, M., Janik, M., & Lewandowski, M. H. (2025) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2025.152410 · Cited by 1
Cancer as a Paradigm for Translational and Clinical Biomedical Research
Serrano, C., & Demetri, G. D. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-802101-9.00032-6 · Cited by 1
METTL3 facilitates hepatic fibrosis progression via m 6 A-YTHDF2 dependent silencing of GPR161Preprint
Pan, X., Bi, Y., Cheng, M., Qian, Z., Wang, L., You, H., Liu, L., Zhang, Z., Meng, X., Huang, C., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.12.15.472749 · Cited by 1
Antoni, F. A. (2016) · Springer eBooks · doi:10.1007/978-1-4614-6438-9_140-1 · Cited by 1
Multi‐Drug Resistance in Cancer
Malviya, R., Singh, A. K., & Yadav, D. (2023) · Wiley eBooks · doi:10.1002/9781394209866.ch1 · Cited by 1
FRS2 Is an Oncogene in High Grade Ovarian Cancer
Luo, L. Y. (2015) · Digital Access to Scholarship at Harvard (DASH) (Harvard University)
Screening for melanoma resistance genes in vivo
Dang, M., & Zon, L. I. (2015) · Pigment Cell & Melanoma Research · doi:10.1111/pcmr.12368
Benes, C. H. (2015) · Molecular & Cellular Oncology · doi:10.1080/23723556.2014.999504
Metadata
- Authors
- Johannessen, C. M., Johnson, L. A., Piccioni, F., Townes, A., Frederick, D. T., Donahue, M. K., Narayan, R., Flaherty, K. T., Wargo, J. A., Root, D. E., & Garraway, L. A.
- Affiliations
- Broad Institute (US)
- Massachusetts General Hospital (US)
- Corresponding author
- Garraway, Levi A.
- ORCID
- Venue
- Nature
- Published
- 2013-11-03
- Volume
- 504
- Issue
- 7478
- Pages
- 138-142
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC4098832
- OpenAlex
- W2159220884
- Cited by
- 452
- References
- 28
- Citations by year
- 2026: 8 · 2025: 15 · 2024: 19 · 2023: 22 · 2022: 27 · 2021: 32 · 2020: 49 · 2019: 45 · 2018: 36 · 2017: 57 · 2016: 48 · 2015: 41 · 2014: 47 · 2013: 4
- FWCI
- 20.92
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- National Institutes of Health (DP2OD002750)
- National Human Genome Research Institute (U54HG006093, U01HG006492)
- National Cancer Institute (P50-CA-93683, R33CA155554, P50CA093683, P01CA163222)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Melanoma and MAPK Pathways
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Tyrosine Phosphatases
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Kinase Regulation and GTPase Signaling
- Keywords
- BRAF V600E mutation, cAMP signaling, CREB, MITF, melanocyte lineage, RAF inhibitors, MEK inhibitors, histone deacetylase inhibitors, G protein-coupled receptors, adenylate cyclase, c-fos, drug resistance mechanisms, therapeutic target
- MeSH terms
- Cyclic AMP, Antineoplastic Agents, Humans, Melanocytes, Melanoma, Transcription Factors, Signal Transduction, Gene Expression Regulation, Neoplastic, Drug Resistance, Neoplasm, Cell Lineage, Mitogen-Activated Protein Kinases, Cell Line, Tumor, Protein Kinase Inhibitors, CREB-Binding Protein, HEK293 Cells
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