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A 3D Organotypic Melanoma Spheroid Skin Model
Published on: May 18, 2018
Leveraging single-cell sequencing analysis and bulk-RNA sequencing analysis to forecast necroptosis in cutaneous
Jiaheng Xie1, Pengpeng Zhang2, Qikai Tang3
1Department of Plastic Surgery, Xiangya Hospital, Central South University, Changsha, China.
Abstract:
Cutaneous melanoma, a malignancy of melanocytes, presents a significant challenge due to its aggressive nature and rising global incidence. Despite advancements in treatment, the variability in patient responses underscores the need for further research into novel therapeutic targets, including the role of programmed cell death pathways such as necroptosis. The melanoma datasets used for analysis, GSE215120, GSE19234, GSE22153 and GSE65904, were downloaded from the GEO database. The melanoma data from TCGA were downloaded from the UCSC website. Using single-cell sequencing, we assess the heterogeneity of necroptosis in cutaneous melanoma, identifying distinct cell clusters and necroptosis-related gene expression patterns. A combination of 101 machine learning algorithms was employed to construct a necroptosis-related signature (NRS) based on key genes associated with necroptosis. The prognostic value of NRS was evaluated in four cohorts (one TCGA and three GEO cohorts), and the tumour microenvironment (TME) was analysed to understand the relationship between necroptosis, tumour mutation burden (TMB) and immune infiltration. Finally, we focused on the role of key target TSPAN10 in the prognosis, pathogenesis, immunotherapy relevance and drug sensitivity of cutaneous melanoma. Our study revealed significant heterogeneity in necroptosis among melanoma cells, with a higher prevalence in epithelial cells, myeloid cells and fibroblasts. The NRS, developed through rigorous machine learning techniques, demonstrated robust prognostic capabilities, distinguishing high-risk patients with poorer outcomes in all cohorts. Analysis of the TME showed that high NRS scores correlated with lower TMB and reduced immune cell infiltration, indicating a potential mechanism through which necroptosis influences melanoma progression. Finally, TSPAN10 has been identified as a key target for cutaneous melanoma and is highly associated with poor prognosis. The findings highlight the complex role of necroptosis in cutaneous melanoma and introduce the NRS as a novel prognostic tool with potential to guide therapeutic decisions.
Insights
This study reveals significant heterogeneity in necroptosis, a cell death pathway, within cutaneous melanoma. A novel necroptosis-related signature (NRS) effectively predicts patient prognosis and highlights TSPAN10 as a key therapeutic target.
Area of Science:
- Oncology
- Molecular Biology
- Immunology
Background:
- Cutaneous melanoma poses a significant challenge due to its aggressive nature and increasing incidence.
- Variability in patient treatment response necessitates research into novel therapeutic targets, including programmed cell death pathways like necroptosis.
Purpose of the Study:
- To investigate the heterogeneity of necroptosis in cutaneous melanoma using single-cell sequencing.
- To develop and validate a necroptosis-related signature (NRS) for prognostic assessment.
- To analyze the tumor microenvironment (TME) and identify key targets like TSPAN10.
Main Methods:
- Utilized single-cell sequencing to analyze melanoma datasets (GEO and TCGA).
- Employed 101 machine learning algorithms to construct a necroptosis-related signature (NRS).
- Evaluated NRS prognostic value across four cohorts and analyzed TME, TMB, and immune infiltration.
Main Results:
- Identified significant necroptosis heterogeneity, with higher prevalence in epithelial cells, myeloid cells, and fibroblasts.
- The NRS demonstrated robust prognostic capability, distinguishing high-risk patients across all cohorts.
- High NRS scores correlated with lower tumor mutation burden (TMB) and reduced immune cell infiltration.
- TSPAN10 was identified as a key target associated with poor prognosis in cutaneous melanoma.
Conclusions:
- Necroptosis plays a complex role in cutaneous melanoma progression.
- The NRS serves as a novel prognostic tool for guiding therapeutic decisions.
- TSPAN10 represents a promising therapeutic target for cutaneous melanoma treatment.

