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AhR-dependent ferroptosis as a therapeutic opportunity to counteract BRAFi-resistance in melanoma
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  • Published: 23 March 2026

AhR-dependent ferroptosis as a therapeutic opportunity to counteract BRAFi-resistance in melanoma

  • Cyrille Berra1,2,
  • Héloïse M. Leclair1,
  • Anthony Sebillot3,
  • Diane Schausi1,
  • Justine Guillo1,
  • Eleonora Leucci  ORCID: orcid.org/0000-0002-2898-748X4,5,
  • Marie-Dominique Galibert1,2 na1 &
  • …
  • Sébastien Corre  ORCID: orcid.org/0000-0003-1532-56601 na1 

Cell Death Discovery , Article number:  (2026) Cite this article

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Subjects

  • Cancer metabolism
  • Melanoma

Abstract

Drug resistance limits the achievement of persistent cures for the treatment of melanoma, despite the efficacy of targeted therapies. This study explored how transcriptional regulation governs metabolic adaptations that underlie resistance. Our analysis of the metabolic profiles revealed a distinct shift in resistant melanoma cells—from glycolytic metabolism in BRAFi-sensitive cells to oxidative phosphorylation (OXPHOS) dependence. This transition was accompanied by a reprogramming of transcriptional networks, marked by the downregulation of MITF transcription factor and a pronounced upregulation and activation of the Aryl hydrocarbon Receptor (AhR). AhR emerged as a key regulator of this resistant phenotype, contributing to the metabolic switch that enhances mitochondrial function, elevates reactive oxygen species (ROS) production, and drives lipid peroxidation. This reprogramming sensitizes resistant cells to ferroptosis, a regulated cell death driven by iron-dependent lipid peroxidation. Importantly, pharmacological activation or stabilization of AhR exacerbated this susceptibility, while its inhibition mitigated ferroptotic responses—highlighting AhR not only as a mediator of resistance-associated metabolic rewiring but also as a potential therapeutic target. Collectively, these findings position AhR as a central node linking metabolic plasticity to ferroptosis vulnerability, offering a novel axis for therapeutic intervention in drug-resistant melanoma.

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Data availability

The datasets generated and/or analyzed during the current study are available from the corresponding author upon reasonable request. Full-length western blots are provided as supplementary material file.

References

  1. Boroughs LK, DeBerardinis RJ. Metabolic pathways promoting cancer cell survival and growth. Nat Cell Biol. 2015;17:351–9.

    Google Scholar 

  2. Kroemer G, Pouyssegur J. Tumor cell metabolism: cancer’s Achilles’ heel. Cancer Cell. 2008;13:472–82.

    Google Scholar 

  3. Ward PS, Thompson CB. Metabolic reprogramming: a cancer hallmark even Warburg did not anticipate. Cancer Cell. 2012;21:297–308.

    Google Scholar 

  4. Zanotelli MR, Goldblatt ZE, Miller JP, Bordeleau F, Li J, VanderBurgh JA, et al. Regulation of ATP utilization during metastatic cell migration by collagen architecture. MBoC. 2018;29:1–9.

    Google Scholar 

  5. Leiter U, Keim U, Garbe C. Epidemiology of Skin Cancer: Update 2019. Adv Exp Med Biol. 2020;1268:123–39.

    Google Scholar 

  6. Baenke F, Chaneton B, Smith M, Van Den Broek N, Hogan K, Tang H, et al. Resistance to BRAF inhibitors induces glutamine dependency in melanoma cells. Mol Oncol. 2016;10:73–84.

    Google Scholar 

  7. Alicea GM, Rebecca VW, Goldman AR, Fane ME, Douglass SM, Behera R, et al. Changes in aged fibroblast lipid metabolism induce age-dependent melanoma cell resistance to targeted therapy via the fatty acid transporter FATP2. Cancer Discov. 2020;10:1282–95.

    Google Scholar 

  8. Vivas-García Y, Falletta P, Liebing J, Louphrasitthiphol P, Feng Y, Chauhan J, et al. Lineage-restricted regulation of SCD and fatty acid saturation by MITF controls melanoma phenotypic plasticity. Mol Cell. 2020;77:120–137.e9.

    Google Scholar 

  9. Liu Y, Zhang X, Wang G, Cui X. Triple combination therapy with PD-1/PD-L1, BRAF, and MEK inhibitor for stage III-IV melanoma: a systematic review and meta-analysis. Front Oncol. 2021;11:693655.

    Google Scholar 

  10. Larkin J. Combined vemurafenib and cobimetinib in BRAF-mutated melanoma. N Engl J Med. 2014;371:1867–76.

    Google Scholar 

  11. Koelblinger P, Thuerigen O, Dummer R. Development of encorafenib for BRAF-mutated advanced melanoma. Curr Opin Oncol. 2018;30:125–33.

    Google Scholar 

  12. Robert C, Karaszewska B, Schachter J, Rutkowski P, Mackiewicz A, Stroiakovski D, et al. Improved overall survival in melanoma with combined dabrafenib and trametinib. 2014. https://doi.org/10.1056/NEJMoa1412690.

  13. Bollag G, Hirth P, Tsai J, Zhang J, Ibrahim PN, Cho H, et al. Clinical efficacy of a RAF inhibitor needs broad target blockade in BRAF -mutant melanoma. Nature. 2010;467:596–9.

    Google Scholar 

  14. Hauschild A, Grob J-J, Demidov LV, Jouary T, Gutzmer R, Millward M, et al. Dabrafenib in BRAF-mutated metastatic melanoma: a multicentre, open-label, phase 3 randomised controlled trial. Lancet. 2012;380:358–65.

    Google Scholar 

  15. Dummer R, Ascierto PA, Gogas HJ, Arance A, Mandala M, Liszkay G, et al. Encorafenib plus binimetinib versus vemurafenib or encorafenib in patients with BRAF-mutant melanoma (COLUMBUS): a multicentre, open-label, randomised phase 3 trial. Lancet Oncol. 2018;19:603–15.

    Google Scholar 

  16. Shirley M. Encorafenib and binimetinib: first global approvals. Drugs. 2018;78:1277–84.

    Google Scholar 

  17. Hoek KS, Eichhoff OM, Schlegel NC, Döbbeling U, Kobert N, Schaerer L, et al. In vivo switching of human melanoma cells between proliferative and invasive states. Cancer Res. 2008;68:650–6.

    Google Scholar 

  18. Rambow F, Rogiers A, Marin-Bejar O, Aibar S, Femel J, Dewaele M, et al. Toward minimal residual disease-directed therapy in melanoma. Cell. 2018;174:843–855.e19.

    Google Scholar 

  19. Tsoi J, Robert L, Paraiso K, Galvan C, Sheu KM, Lay J, et al. Multi-stage differentiation defines melanoma subtypes with differential vulnerability to drug-induced iron-dependent oxidative stress. Cancer Cell. 2018;33:890–904.e5.

    Google Scholar 

  20. Müller J, Krijgsman O, Tsoi J, Robert L, Hugo W, Song C, et al. Low MITF/AXL ratio predicts early resistance to multiple targeted drugs in melanoma. Nat Commun. 2014;5:5712.

    Google Scholar 

  21. Goding CR, Arnheiter H. MITF-the first 25 years. Genes Dev. 2019;33:983–1007.

    Google Scholar 

  22. Carreira S, Goodall J, Denat L, Rodriguez M, Nuciforo P, Hoek KS, et al. Mitf regulation of Dia1 controls melanoma proliferation and invasiveness. Genes Dev. 2006;20:3426–39.

    Google Scholar 

  23. Cheli Y, Giuliano S, Fenouille N, Allegra M, Hofman V, Hofman P, et al. Hypoxia and MITF control metastatic behaviour in mouse and human melanoma cells. Oncogene. 2012;31:2461–70.

    Google Scholar 

  24. Falletta P, Sanchez-Del-Campo L, Chauhan J, Effern M, Kenyon A, Kershaw CJ, et al. Translation reprogramming is an evolutionarily conserved driver of phenotypic plasticity and therapeutic resistance in melanoma. Genes Dev. 2017;31:18–33.

    Google Scholar 

  25. Falletta P, Goding CR, Vivas-García Y. Connecting metabolic rewiring with phenotype switching in melanoma. Front Cell Dev Biol. 2022;10:930250.

    Google Scholar 

  26. Ferguson J, Smith M, Zudaire I, Wellbrock C, Arozarena I. Glucose availability controls ATF4-mediated MITF suppression to drive melanoma cell growth. Oncotarget. 2017;8:32946–59.

    Google Scholar 

  27. Louphrasitthiphol P, Ledaki I, Chauhan J, Falletta P, Siddaway R, Buffa FM, et al. MITF controls the TCA cycle to modulate the melanoma hypoxia response. Pigment Cell Melanoma Res. 2019;32:792–808.

    Google Scholar 

  28. Haq R, Shoag J, Andreu-Perez P, Yokoyama S, Edelman H, Rowe GC, et al. Oncogenic BRAF regulates oxidative metabolism via PGC1α and MITF. Cancer Cell. 2013;23:302–15.

    Google Scholar 

  29. Corre S, Tardif N, Mouchet N, Leclair HM, Boussemart L, Gautron A, et al. Sustained activation of the aryl hydrocarbon receptor transcription factor promotes resistance to BRAF-inhibitors in melanoma. Nat Commun. 2018;9:4775.

    Google Scholar 

  30. Paris A, Tardif N, Baietti FM, Berra C, Leclair HM, Leucci E, et al. The AhR-SRC axis as a therapeutic vulnerability in BRAFi-resistant melanoma. EMBO Mol Med. 2022;14:e15677.

    Google Scholar 

  31. Granados K, Poelchen J, Novak D, Utikal J. Cellular reprogramming-a model for melanoma cellular plasticity. Int J Mol Sci. 2020;21:E8274.

    Google Scholar 

  32. Dietrich C. Antioxidant functions of the aryl hydrocarbon receptor. Stem Cells Int. 2016;2016:e7943495.

    Google Scholar 

  33. Barretina J, Caponigro G, Stransky N, Venkatesan K, Margolin AA, Kim S, et al. The cancer cell line encyclopedia enables predictive modelling of anticancer drug sensitivity. Nature. 2012;483:603–7.

    Google Scholar 

  34. Westermann B. Bioenergetic role of mitochondrial fusion and fission. Biochim Biophys Acta. 2012;1817:1833–8.

    Google Scholar 

  35. Ghaffarian-Bahraman A, Arabnezhad M-R, Keshavarzi M, Davani-Davari D, Jamshidzadeh A, Mohammadi-Bardbori A. Influence of cellular redox environment on aryl hydrocarbon receptor ligands induced melanogenesis. Toxicol Vitro. 2022;79:105282.

    Google Scholar 

  36. Turner JA, Paton EL, Van Gulick R, Stefanoni D, Cendali F, Reisz J, et al. BRAF modulates lipid use and accumulation. Cancers. 2022;14:2110.

    Google Scholar 

  37. Zhou N, Bao J. FerrDb: a manually curated resource for regulators and markers of ferroptosis and ferroptosis-disease associations. Database. 2020;2020:baaa021.

    Google Scholar 

  38. Vendramin R, Katopodi V, Cinque S, Konnova A, Knezevic Z, Adnane S, et al. Activation of the integrated stress response confers vulnerability to mitoribosome-targeting antibiotics in melanoma. J Exp Med. 2021;218:e20210571.

    Google Scholar 

  39. Zhang Y, Tan H, Daniels JD, Zandkarimi F, Liu H, Brown LM, et al. Imidazole ketone erastin induces ferroptosis and slows tumor growth in a mouse lymphoma model. Cell Chem Biol. 2019;26:623–633.e9.

    Google Scholar 

  40. Talty R, Bosenberg M. The role of ferroptosis in melanoma. Pigment Cell Melanoma Res. 2021. https://doi.org/10.1111/pcmr.13009.

  41. Ubellacker JM, Tasdogan A, Ramesh V, Shen B, Mitchell EC, Martin-Sandoval MS, et al. Lymph protects metastasizing melanoma cells from ferroptosis. Nature. 2020;585:113–8.

    Google Scholar 

  42. Wang H, Zhang H, Chen Y, Wang H, Tian Y, Yi X, et al. Targeting Wnt/β-catenin signaling exacerbates ferroptosis and increases the efficacy of melanoma immunotherapy via the regulation of MITF. Cells. 2022;11:3580.

    Google Scholar 

  43. Liu X, Li Z, Li M, Chai J, He S, Wu J, et al. Icariside II overcomes BRAF inhibitor resistance in melanoma by inducing ROS production and inhibiting MITF. Oncol Rep. 2020;44:360–70.

    Google Scholar 

  44. Shao H, Teramae D, Wells A. Axl contributes to efficient migration and invasion of melanoma cells. PLoS ONE. 2023;18:e0283749.

    Google Scholar 

  45. Cui J-X, Xu X-H, He T, Liu J-J, Xie T-Y, Tian W, et al. L-kynurenine induces NK cell loss in gastric cancer microenvironment via promoting ferroptosis. J Exp Clin Cancer Res. 2023;42:52.

    Google Scholar 

  46. Eleftheriadis T, Pissas G, Filippidis G, Liakopoulos V, Stefanidis I. Reoxygenation induces reactive oxygen species production and ferroptosis in renal tubular epithelial cells by activating aryl hydrocarbon receptor. Mol Med Rep. 2021;23:41.

    Google Scholar 

  47. Kwon O-S, Kwon E-J, Kong H-J, Choi J-Y, Kim Y-J, Lee E-W et al. Systematic identification of a nuclear receptor-enriched predictive signature for erastin-induced ferroptosis. Redox Biol. 2020;37:101719.

  48. Gagliardi M, Saverio V, Monzani R, Ferrari E, Piacentini M, Corazzari M. Ferroptosis: a new unexpected chance to treat metastatic melanoma? Cell Cycle. 2020;19:2411–25.

    Google Scholar 

  49. Wang H-C, Liu K-Y, Wang L-T, Hsu S-H, Wang S-C, Huang S-K. Aryl hydrocarbon receptor promotes lipid droplet biogenesis and metabolic shift in respiratory Club cells. Hum Cell. 2021;34:785–99.

    Google Scholar 

  50. Tang F, Li S, Liu D, Chen J, Han C. Sorafenib sensitizes melanoma cells to vemurafenib through ferroptosis. Transl Cancer Res. 2020;9:1584–93.

    Google Scholar 

  51. Wang M, Li S, Wang Y, Cheng H, Su J, Li Q. Gambogenic acid induces ferroptosis in melanoma cells undergoing epithelial-to-mesenchymal transition. Toxicol Appl Pharmacol. 2020;401:115110.

    Google Scholar 

  52. Talebi A, de Laat V, Spotbeen X, Dehairs J, Rambow F, Rogiers A, et al. Pharmacological induction of membrane lipid poly-unsaturation sensitizes melanoma to ROS inducers and overcomes acquired resistance to targeted therapy. J Exp Clin Cancer Res. 2023;42:92.

    Google Scholar 

  53. Vergani E, Beretta GL, Aloisi M, Costantino M, Corno C, Frigerio S, et al. Targeting of the lipid metabolism impairs resistance to BRAF kinase inhibitor in melanoma. 2022;10:927118.

  54. Rahman I, Kode A, Biswas SK. Assay for quantitative determination of glutathione and glutathione disulfide levels using enzymatic recycling method. Nat Protoc. 2006;1:3159–65.

    Google Scholar 

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Acknowledgements

The authors would like to thank the Gene Expression and Oncogenesis team for helpful discussions and technical and administrative support (Anne-Gaëlle Rio), CNRS UMR6290, and Rennes FHU CAMIn team. The authors acknowledge the SFR Biosit core facilities of Rennes University, along with the Histo pathology High precision (H2P2, BIOSIT, Biogenouest), member of the national infrastructure France-BioImaging supported by the French National Research Agency (ANR-24-INBS-0005 FBI BIOGEN); the Cell Imaging ImPACcell, Cytometry, Microscopy Rennes Imaging Center (MRIC), and FAIIA Core Facility, from UAR Biosit, Rennes. This study was financially supported by the following: Association Contre le Cancer (ARC); Ligue Nationale Contre le Cancer (LNCC), Départements du Grand-Ouest; FHU CAMIn-CHU Rennes, Région Bretagne; University of Rennes 1; CNRS; and Inserm. C.B. was a recipient of an FHU CAMIn doctoral fellowship.

Author information

Author notes
  1. These authors contributed equally: Marie-Dominique Galibert, Sébastien Corre.

Authors and Affiliations

  1. ERL U1305, CNRS, INSERM, IGDR (Institut de Génétique et Développement de Rennes)—UMR6290, University of Rennes, Rennes, France

    Cyrille Berra, Héloïse M. Leclair, Diane Schausi, Justine Guillo, Marie-Dominique Galibert & Sébastien Corre

  2. Department of Molecular Genetics and Genomics, Hospital University of Rennes (CHU Rennes), Rennes, France

    Cyrille Berra & Marie-Dominique Galibert

  3. CNRS, Inserm, Biosit UAR 3480 US_S 018, France-BioImaging (ANR-10-INBS-0005 FBI BIOGEN), Core Facility H2P2, University of Rennes, Rennes, France

    Anthony Sebillot

  4. Laboratory for RNA Cancer Biology, Department of Oncology, LKI, KU Leuven, Leuven, Belgium

    Eleonora Leucci

  5. Department of Oncology, LKI, Trace PDX Platform, KU Leuven, Leuven, Belgium

    Eleonora Leucci

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Contributions

CB, HLM, DS, and JG were responsible for conducting the search, extracting, and analyzing data. AS was responsible for designing, performing and analyzing microscopic analysis. EL was responsible for performing in vivo experiment in mouse models. SC contributed to the design of the review protocol, writing the report, arbitrating potentially eligible studies, extracting and analyzing data, and interpreting results. MDG provided feedback on the report.

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Correspondence to Marie-Dominique Galibert or Sébastien Corre.

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Berra, C., Leclair, H.M., Sebillot, A. et al. AhR-dependent ferroptosis as a therapeutic opportunity to counteract BRAFi-resistance in melanoma. Cell Death Discov. (2026). https://doi.org/10.1038/s41420-026-03057-3

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  • Received: 03 September 2025

  • Revised: 09 February 2026

  • Accepted: 09 March 2026

  • Published: 23 March 2026

  • DOI: https://doi.org/10.1038/s41420-026-03057-3

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