bioRxivCancer BiologyPreprint
Multiomic profiling of a unique in-transit melanoma cohort identifies melanoma differentiation as predictor of tumor progression and therapy response
Giuseppe TarantinoiD, Anne ZarembaiD, Tuulia ValliusiD, Mark Woodnorth, Yichao HuaiD, Roxanne J. PelletieriD, Mariana Lopez LeoniD, Yingxiao ShiiD, Zoltan MaligaiD, Samira MakhzamiiD, Tyler J. ApratiiD, Bojan KarlašiD, Valerie GlutschiD, Bastian SchillingiD, Jessica C. HasseliD, Carola BerkingiD, Jochen Sven UtikaliD, Friedegund Elke MeieriD, Frank MeißiD, Lucie HeinzerlingiD, Katharina Charlotte KähleriD, Jiajia CheniD, Lisa ZimmeriD, Antje SuckeriD, Elisabeth LivingstoneiD, , Dirk SchadendorfiD
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.
- organism: human
- assay: bulk RNA-seq
- assay: spatial transcriptomics
- assay: whole-exome sequencing
- research focus: cell type annotation
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: statistical model
- Citations
- 0
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