Trial reportClinical cancer research : an official journal of the American Association for Cancer Research2025
Integrative Immune Signature of Complementary Circulating and Tumoral Biomarkers Maximizes the Predictive Power of Adjuvant Immunotherapeutic Benefits in High-risk Melanoma.
Trial report in Clinical cancer research : an official journal of the American Association for Cancer Research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Predicting immune-related thyroiditis using polygenic risk scores in patients with advanced melanoma.Journal for immunotherapy of cancer · 2026Article
- Toward Personalized Response Monitoring in Melanoma Patients Treated with Immunotherapy and Target Therapy.Diagnostics (Basel, Switzerland) · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors.
Funding
Abstract
purposeIpilimumab (IPI) improved outcomes for patients with high-risk melanoma compared with IFN-α2b in E1609, a phase III adjuvant trial. We hypothesized that combining candidate immune biomarkers in both tumor and circulating blood could generate a superior predictive biomarker signature. EXPERIMENTAL
designWe conducted gene expression profiling on baseline tumors of patients treated with IPI and IFN. We also performed multicolor flow cytometry to compare cellular marker expression on thawed peripheral blood mononuclear cells and Luminex multiplex assay to measure serum biomarkers. We tested the expression levels of 31 genes and 40 circulating biomarkers in relation to survival outcomes. We then developed two separate multivariate Least Absolute Shrinkage and Selection Operator (LASSO) Cox regression models followed by integrative modeling of risk prediction using the prioritized biomarkers.
resultsIn blood, enriched populations of CXCR3+CD4+ T cells, CXCR3+CD8+ T cells, CTLA4+IFN-γ+CD8+ T cells, and higher levels of CCL3 and CXCL11 were associated with significantly improved overall survival and relapse-free survival, whereas high levels of CTLA4+ regulatory T cells (CD3+CD4+CD25hi+CD152+) and monocytic myeloid-derived suppressor cells (Lin-CD33+HLA-DrloCD14+CD15+) correlated with worse overall survival and relapse-free survival. In tumor, CXCL9, CD8A, CXCL10, and inositol polyphosphate-5-phosphatase D were identified as tier-1 (P < 0.05) and indoleamine 2, 3-dioxygenase 1, Igκ constant, and IL2RB as tier-2 (P < 0.1) biomarkers of survival. Multivariate survival analysis identified that ∼50% of the risk groups were defined by circulating and tumor biomarker models, indicating complementary features of defining risk groups in IPI-treated but not in IFN-treated patients.
conclusionsIntegrating candidate blood and tumor immune-related biomarkers generated a baseline signature that maximizes the prediction of immunotherapeutic benefits in reference to the compartmental biomarker signatures.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.