ArticleFrontiers in oncology2023
Prognostic value of inflammatory markers and clinical features for survival in advanced or metastatic esophageal squamous cell carcinoma patients receiving anti-programmed death 1 treatment.
Article in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 4 of them syntheses that pooled it.
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Who cites it
18 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Prognostic value of the systemic immune-inflammation index in gastrointestinal cancers treated with immune checkpoint inhibitors: a systematic review and meta-analysis.BMC gastroenterology · 2026Pooled it
- Platelet-to-lymphocyte ratio for prognostication in immune checkpoint inhibitor-treated cancer patients: a meta-analysis of 13027 patients highlighting nivolumab-responsive renal cell carcinoma.Frontiers in immunology · 2026Pooled it
- Monocyte-related markers as predictors of immune checkpoint inhibitor efficacy and immune-related adverse events: a systematic review and meta-analysis.Cancer metastasis reviews · 2025Pooled it
- The prognostic value of pretreatment neutrophil-lymphocyte ratio and platelet-lymphocyte ratio in patients with esophageal cancer undergoing immunotherapy: a systematic review and meta-analysis.Frontiers in oncology · 2025Pooled it
- Global research trends of cell death in diabetic cardiomyopathy from 2000 to 2024: a bibliometric analysis and integrative overview.Journal of cardiothoracic surgery · 2026Review
- Prognostic Value of the C-PLAN Index in Advanced Esophageal Squamous Cell Carcinoma Patients Treated With Immune Checkpoint Inhibitors.The Kaohsiung journal of medical sciences · 2026Article
- Construction and validation of a prognostic nomogram for advanced esophageal squamous cell carcinoma patients treated with PD-1 inhibitor-based therapy.Discover oncology · 2026Article
- Pretreatment emotional distress and peripheral biomarkers predict immune checkpoint inhibitor response in people with advanced inoperable gastroesophageal cancer.Communications medicine · 2026Article
- A prognostic nomogram for elderly patients with inoperable esophageal cancer undergoing intensity-modulated radiotherapy.BMC cancer · 2026Article
- Interpretable machine learning integrating intra-/peritumoral CT radiomics and serum indicators for predicting poorly differentiated esophageal squamous cell carcinoma.Frontiers in oncology · 2026Article
- Prognostic Value of the PILE Score in Esophageal Squamous Cell Carcinoma Treated with Neoadjuvant Chemoradiotherapy.Diagnostics (Basel, Switzerland) · 2025Article
- Efficacy of combined immunotherapy and predictive role of inflammatory markers in elderly ESCC patients.Future science OA · 2025Article
- Low pre-treatment neutrophil-to-lymphocyte ratio predicted a better survival in recurrent/metastatic cervical cancer treated with PD-1/PD-L1 inhibitors.Discover oncology · 2025Article
- Article
- Downregulation of SMAD2 and SMAD4 is associated with poor prognosis and shorter survival in esophageal squamous cell carcinoma.Molecular biology reports · 2025Article
- Real-world first-line serplulimab therapy for advanced esophageal cancer: effectiveness, safety, and clinical implications.Frontiers in medicine · 2025Article
- Peripheral immune biomarkers for immune checkpoint inhibition of solid tumours.Clinical and translational medicine · 2024Review
- Predictive Value of NLR and PLR in Driver-Gene-Negative Advanced Non-Small Cell Lung Cancer Treated with PD-1/PD-L1 Inhibitors: A Single Institutional Cohort Study.Technology in cancer research & treatmentArticle
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7 authors.
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Abstract
Purpose: This study aims to assess the prognostic value of inflammatory markers and clinical features in advanced or metastatic esophageal squamous cell carcinoma (ESCC) patients receiving anti-programmed death 1 (PD-1) treatment. Methods: Based on receiver operating characteristic curve (ROC) analysis, Youden's indexes were applied to determine the cut-off values for inflammatory markers, including neutrophil-to-lymphocyte ratio (NLR), derived neutrophil-to-lymphocye ratio (dNLR), monocyte-to-lymphocyte ratio (MLR), platelet-to-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII). Wilcoxon test was conducted to evaluate the changes in above inflammatory markers. Kaplan-Meier method was utilized to estimate progression-free survival (PFS) and overall survival (OS), and the Log-rank test was used to compare the different survival between groups. Univariate and multivariate Cox regression analyses were performed to assess the prognostic value of inflammatory markers and clinical features. Results: 162 advanced or metastatic ESCC patients receiving anti-PD-1 treatment were enrolled in this retrospective study. The cut-off values of NLR, dNLR, MLR, PLR, and SII were 4.748, 2.214, 0.309, 250.505, and 887.895, respectively. NLR, dNLR, PLR, and SII declined significantly among the partial response (PR) (P<0.001, P<0.001, P=0.036, P<0.001), objective response rate (ORR) (P<0.001, P<0.001, P=0.036, P<0.001), and disease control rate (DCR) (P<0.001, P<0.001, P=0.038, P<0.001) groups, respectively. Significant increases were found in NLR (P<0.001), dNLR (P<0.001), MLR (P=0.001), and SII (P=0.024) when anti-PD-1 treatment failed. Multivariate Cox regression analysis indicated that NLR (P<0.001, P=0.002), lymph node metastasis (P=0.013, P=0.001), Eastern Cooperative Oncology Group Performance Status (ECOG PS) (P=0.008, P=0.002), and treatment lines (P=0.037, P=0.048) were significant prognostic indicators of PFS and OS. Additionally, SII (P=0.016) was also significantly related to OS in ESCC patients. The risk score model showed that low risk patients prolonged PFS and OS than those with middle or high risk (P<0.001, P<0.001). Conclusion: Inflammatory markers can reflect short-term outcomes of anti-PD-1 treatment for ESCC patients. NLR, lymph node metastases, ECOG PS, and treatment lines are significant prognostic indicators for PFS and OS. And the risk score model constructed based on the above factors has favourable prognostic predictive value.
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