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Updated: Jan 20, 2026

Injection of Syngeneic Murine Melanoma Cells to Determine Their Metastatic Potential in the Lungs
Published on: May 24, 2016
The new identified biomarkers determine sensitivity to immune check-point blockade therapies in melanoma
Hao Chen1, Meng Yang2, Qinghua Wang1
1Department of Epidemiology and Biostatistics, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy of Tianjin, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
Abstract:
Immune checkpoint blockade (ICB) therapy has achieved remarkable clinical benefit in melanoma. However, our understanding of biomarkers that predict response to ICB remained obscure. Here we systematically analyzed the association between somatic mutations profile and clinicopathologic information from 336 melanoma patients treated by ICB (CTLA-4/PD-1). We identified eight new significantly mutated genes including COL5A1, SEMA3E, COL28A1, DGKG, RAPGEF5, GLDN, NCF2 and RCAN2. A mutational signature featured by enrichment of T > C mutations was identified to be associated with immune resistance (logistic regression model, OR, 2.59 [95%CI, 1.07 to 7.00], P = .043). High neoantigen quality was associated with prolonged immunotherapy survival (log-rank test, P = .009). This association remained significant after controlling for age, gender, stage and hypermutation (Cox proportional hazards model, HR, 0.56 [95%CI, 0.38 to 0.82], P = .003). Our findings shed new insights on biomarkers that are useful to predict melanoma patients who may benefit from ICB treatment; however, these biomarkers need to be validated in future studies.
Insights
Predicting response to immune checkpoint blockade (ICB) in melanoma is crucial. This study identifies new gene mutations and a T>C mutation signature associated with ICB resistance, while high neoantigen quality predicts longer survival.
Area of Science:
- Oncology
- Immunology
- Genetics
Background:
- Immune checkpoint blockade (ICB) therapy, including CTLA-4 and PD-1 inhibitors, offers significant clinical benefits for melanoma patients.
- Predictive biomarkers for ICB response in melanoma remain incompletely understood, necessitating further investigation.
Purpose of the Study:
- To systematically analyze the association between somatic mutation profiles and clinicopathologic information in melanoma patients treated with ICB.
- To identify novel biomarkers that predict response and survival outcomes in melanoma patients undergoing ICB therapy.
Main Methods:
- Analysis of somatic mutation profiles and clinicopathologic data from 336 melanoma patients treated with ICB (CTLA-4/PD-1).
- Identification of significantly mutated genes using statistical association.
- Evaluation of mutational signatures and neoantigen quality in relation to treatment response and survival using logistic regression, log-rank tests, and Cox proportional hazards models.
Main Results:
- Eight novel significantly mutated genes (COL5A1, SEMA3E, COL28A1, DGKG, RAPGEF5, GLDN, NCF2, and RCAN2) were identified.
- A mutational signature characterized by T>C mutations was associated with immune resistance (OR, 2.59; P = .043).
- High neoantigen quality correlated with prolonged immunotherapy survival (P = .009), a finding robust after controlling for covariates (HR, 0.56; P = .003).
Conclusions:
- The study provides new insights into potential biomarkers for predicting ICB treatment benefit in melanoma.
- Identified gene mutations and neoantigen quality represent promising avenues for future biomarker development.
- Further validation studies are required to confirm the clinical utility of these biomarkers for melanoma patients.
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