ArticleJournal of inflammation research2025
Efficacy Assessment and Prognostic Value of Inflammatory Markers in Patients with Stage IV Acral and Cutaneous Melanoma Receiving PD-1 Inhibitors.
Article in Journal of inflammation research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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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
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Who cites it
2 citing papers in PubMed.
- The Prognostic Value of Serum Inflammatory Markers in Nasopharyngeal Carcinoma Patients Treated With Immune Checkpoint Inhibitors: A Multicenter Study.Cancer medicine · 2026Article
- Clinical, Dermatoscopic, Histological and Molecular Prognostic and Predictive Factors of Metastatic Melanoma Response to Immunotherapy: A Systematic Review and Drug Class Meta-Analysis.Journal of clinical medicine · 2026Review
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Malignant melanoma (MM) is a highly aggressive cancer. Different subtypes have different sensitivities to immunotherapy and lack peripheral blood markers. Few studies have examined the role of inflammatory markers in predicting the overall survival (OS) in stage IV acral melanoma (AM) and cutaneous melanoma (CM) patients receiving immunotherapy. Purpose: This study aimed to investigate the value of inflammatory markers in efficacy and prognosis for stage IV melanoma patients who underwent immunotherapy. Patients and Methods: This multicenter study reviewed the clinicopathological characteristics and inflammatory markers of 94 stage IV AM and CM patients receiving PD-1 inhibitors therapy. Pearson's chi-squared test or Fisher's exact test was used to compare baseline characteristics. The optimal cut-off values for these markers were stratified using time-dependent receiver operating characteristic curves (t-ROC). Kaplan-Meier (KM) curves and Log rank test were used to explore the relationship between inflammatory markers and survival outcomes. Cox regression analysis was performed to screen for independent prognostic factors and a nomogram was constructed. The model ability was tested by the C-index, t-ROC, calibration curves, and decision curve analysis curves. Results: High NLR level was significantly correlated with lymph node metastasis and 3 or above metastatic sites (P=0.009, P=0.012). High PNI level favored a better ECOG PS (P=0.023). According to the KM curves, patients with baseline NLR>2.37, PNI<=42.65, and RLR>11.08 had worse OS (P<0.001, P<0.001, P<0.001). Cox regression analysis based on P<0.05 showed that M1c/M1d (P<0.001), NLR (P=0.003), and PNI (P<0.001) were significantly correlated with OS, and were visualized in a nomogram. C-index, t-ROC, area under the curve (AUC), and calibration curves revealed promising discrimination and accuracy of the nomogram. Decision curve analysis curves showed good clinical utility. Conclusion: We established a prognostic predictive model based on distant metastatic sites, NLR, and PNI, and verified its superior performance and potential for clinical application.
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