Multiomic profiling of a unique in-transit melanoma cohort identifies melanoma differentiation as predictor of tumor progression and therapy response

Tarantino, G.; Zaremba, A.; Vallius, T.; Woodnorth, M.; Hua, Y.; Pelletier, R.; Lopez Leon, M.; Shi, Y.; Maliga, Z.; Makhzami, S.; Aprati, T. J.; Karlas, B.; Glutsch, V.; Schilling, B.; Hassel, J.; Berking, C.; Utikal, J.; Meier, F.; Meiss, F.; Heinzerling, L.; Kahler, K.; Chen, J.; Zimmer, L.; Sucker, A.; Livingstone, E.; Hadaschik, E.; Lian, C.; Murphy, G.; Semenov, Y. R.; Boland, G. M.; Sorger, P. K.; Rambow, F.; Liu, D.; Schadendorf, D.

doi:10.1101/2025.10.01.679282

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bioRxiv · 10.1101/2025.10.01.679282

Multiomic profiling of a unique in-transit melanoma cohort identifies melanoma differentiation as predictor of tumor progression and therapy response

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Abstract

Melanoma patients with in-transit metastasis (ITM), a stage of disease where melanoma has metastasized to sites in between the primary lesion and draining lymph node, vary significantly in their clinical outcomes, but the biology driving differential outcomes in ITM is poorly understood. To elucidate the mechanisms of differential outcomes, we utilized multimodal molecular profiling (WES, RNA-seq, highly multiplexed immunofluorescence, spatial transcriptomics) in 1) evolutionary analysis of longitudinal tumor samples and 2) identifying prognostic tumor intrinsic and microenvironmental features in a unique cohort of patients with unresectable ITM. Among other findings, we observed a persistent dedifferentiated AXL/NGFR clonal lineage pre-existing and following immune checkpoint blockade in in-transit and distant metastases. Concordantly, we found that low pigmentation and high T cell exhaustion signatures were independently associated with distant progression. Our findings highlight tumor cell state and immune dysfunction as key predictors and potential biomarkers of metastatic risk in ITM. STATEMENT OF SIGNIFICANCEWhat drives distant progression in melanoma is unclear. Analyzing tumor and immune features in a rare in-transit melanoma patient cohort, we identify biological signals highlighting how immune and tumor states observable in pre-distant metastasis melanomas shape long-term outcomes, and nominate potential prognostic biomarkers.

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Tarantino, G., Zaremba, A., Vallius, T., Woodnorth, M., Hua, Y., Pelletier, R., Lopez Leon, M., Shi, Y., Maliga, Z., Makhzami, S., Aprati, T. J., Karlas, B., Glutsch, V., Schilling, B., Hassel, J., Berking, C., Utikal, J., Meier, F., Meiss, F., Heinzerling, L., Kahler, K., Chen, J., Zimmer, L., Sucker, A., Livingstone, E., Hadaschik, E., Lian, C., Murphy, G., Semenov, Y. R., Boland, G. M., Sorger, P. K., Rambow, F., Liu, D., Schadendorf, D.. 2025-10-02. Multiomic profiling of a unique in-transit melanoma cohort identifies melanoma differentiation as predictor of tumor progression and therapy response. https://doi.org/10.1101/2025.10.01.679282

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