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Changes in AXL And/or MITF Melanoma Subpopulations in Patients Receiving Immunotherapy

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Date 2024 Dec 19
PMID 39697983
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Abstract

Background: Tumor heterogeneity is a hurdle to effective therapy, as illustrated by the 'mixed responses' frequently seen in immunotherapy-treated patients. Previously, AXL+ tumor cells were identified to be highly resistant to targeted therapy, whereas more differentiated MITF+ tumor cells do respond to RAF and MEK inhibitors.

Patients And Methods: In this study, we analyzed tumor heterogeneity and explored the presence of the previously described AXL+ or MITF+ melanoma subpopulations in metastatic tissues by NanoString gene expression analysis, single-cell RNA sequencing and multiplex immunofluorescence. Furthermore, we analyzed how these subpopulations correlate with immunological pressure and response to immunotherapy by immunomodulating antibodies or autologous tumor lysate-loaded dendritic cell vaccination.

Results: Our data demonstrate large interpatient variability and variable therapy-induced changes independent of the type of therapy. We identify the presence of previously described AXL+ and MITF+ subpopulations in metastatic tissues both at the mRNA level and at the protein level, and demonstrate that MITF+ melanoma cells are significantly decreased upon immunotherapy, while AXL+ melanoma cell numbers are stable. MITF+ tumor cells showed the most significant inverse correlation with CD8+ T cells. Our patient cohort also shows that immunotherapy-induced changes in the abundance of AXL+ or MITF+ tumor cells did not correlate with improved survival.

Conclusions: Overall, this study suggests that more differentiated MITF+ tumors are efficiently targeted by immunotherapy, while AXL+ tumor cells may be more resistant, analogous to their response to targeted therapy.

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References
1.
Bulgarelli J, Tazzari M, Granato A, Ridolfi L, Maiocchi S, De Rosa F . Dendritic Cell Vaccination in Metastatic Melanoma Turns "Non-T Cell Inflamed" Into "T-Cell Inflamed" Tumors. Front Immunol. 2019; 10:2353. PMC: 6794451. DOI: 10.3389/fimmu.2019.02353. View

2.
Kress T, Sabo A, Amati B . MYC: connecting selective transcriptional control to global RNA production. Nat Rev Cancer. 2015; 15(10):593-607. DOI: 10.1038/nrc3984. View

3.
Quaglino P, Fava P, Tonella L, Rubatto M, Ribero S, Fierro M . Treatment of Advanced Metastatic Melanoma. Dermatol Pract Concept. 2021; 11(Suppl 1):e2021164S. PMC: 8366308. DOI: 10.5826/dpc.11S1a164S. View

4.
Yin T, Wang G, Wang L, Mudgal P, Wang E, Pan C . Breaking NGF-TrkA immunosuppression in melanoma sensitizes immunotherapy for durable memory T cell protection. Nat Immunol. 2024; 25(2):268-281. PMC: 11377935. DOI: 10.1038/s41590-023-01723-7. View

5.
Bankhead P, Loughrey M, Fernandez J, Dombrowski Y, McArt D, Dunne P . QuPath: Open source software for digital pathology image analysis. Sci Rep. 2017; 7(1):16878. PMC: 5715110. DOI: 10.1038/s41598-017-17204-5. View