Proteogenomic insights into the biology and treatment of pan-melanoma.
Hang XiangRongkui LuoYunzhi WangBing YangSha XuWen HuangShaoshuai TangRundong FangLingli ChenNa ZhuZixiang YuSujie AkesuChuanyuan WeiChen XuYuhong ZhouJianying GuJianyuan ZhaoYingyong HouChen DingPublished in: Cell discovery (2024)
Melanoma is one of the most prevalent skin cancers, with high metastatic rates and poor prognosis. Understanding its molecular pathogenesis is crucial for improving its diagnosis and treatment. Integrated analysis of multi-omics data from 207 treatment-naïve melanomas (primary-cutaneous-melanomas (CM, n = 28), primary-acral-melanomas (AM, n = 81), primary-mucosal-melanomas (MM, n = 28), metastatic-melanomas (n = 27), and nevi (n = 43)) provides insights into melanoma biology. Multivariate analysis reveals that PRKDC amplification is a prognostic molecule for melanomas. Further proteogenomic analysis combined with functional experiments reveals that the cis-effect of PRKDC amplification may lead to tumor proliferation through the activation of DNA repair and folate metabolism pathways. Proteome-based stratification of primary melanomas defines three prognosis-related subtypes, namely, the ECM subtype, angiogenesis subtype (with a high metastasis rate), and cell proliferation subtype, which provides an essential framework for the utilization of specific targeted therapies for particular melanoma subtypes. The immune classification identifies three immune subtypes. Further analysis combined with an independent anti-PD-1 treatment cohort reveals that upregulation of the MAPK7-NFKB signaling pathway may facilitate T-cell recruitment and increase the sensitivity of patients to immunotherapy. In contrast, PRKDC may reduce the sensitivity of melanoma patients to immunotherapy by promoting DNA repair in melanoma cells. These results emphasize the clinical value of multi-omics data and have the potential to improve the understanding of melanoma treatment.
Keyphrases
- dna repair
- signaling pathway
- poor prognosis
- cell proliferation
- end stage renal disease
- dna damage
- ejection fraction
- small cell lung cancer
- newly diagnosed
- pi k akt
- machine learning
- long non coding rna
- magnetic resonance
- skin cancer
- prognostic factors
- peritoneal dialysis
- magnetic resonance imaging
- big data
- dna damage response
- dna methylation
- endothelial cells
- genome wide
- endoplasmic reticulum stress
- risk assessment
- artificial intelligence
- drug induced
- data analysis
- smoking cessation