ArticleBMC cancer2024
Prognostic value of immuno-inflammatory biomarkers in esophageal squamous cell carcinoma patients receiving immunotherapy combined with chemoradiotherapy and its association with immuno-genomic landscape.
Article in BMC cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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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.
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Who cites it
3 citing papers in PubMed.
- Article
- Integrating Blood-Based Immune-Inflammation Biomarkers into Artificial Intelligence-Driven Prognostic Models in Oncology.International journal of molecular sciences · 2026Review
- Editorial for "a predictive model for irAEs in ESCC patients treated with PD-1 inhibitors based on blood indicators".Future science OA · 2025Article
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Authors and funding
7 authors.
Funding
Abstract
backgroundThe clinical significance of immuno-inflammatory indicators and the underlying biological basis in patients with esophageal squamous cell carcinoma (ESCC) who receive chemoradiotherapy (CRT) combined with immunotherapy remains unclear. This study aims to evaluate the prognostic value of immuno-inflammatory biomarkers, develop a prognostic model, and explore the underlying mechanisms.
methodsThis study included 212 ESCC patients who received CRT and anti-PD-1 immunotherapy. Association between progression-free survival (PFS) and immuno-inflammatory biomarkers, including absolute lymphocyte count (ALC), neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), lymphocyte-monocyte ratio was analyzed. A nomogram was built based on the independent prognostic factors identified using multivariable Cox regression model. Pre-treatment tumor samples from 47 patients were collected for RNA sequencing to investigate the immune-related tumor microenvironment.
resultsPatients experienced significant changes in immuno-inflammatory biomarkers during CRT, which gradually recovered after radiotherapy. Body mass index < 18.5 (HR, 1.85; P = 0.032), N3 stage (HR, 2.41; P = 0.002), high pre-CRT PLR (HR, 1.53; P = 0.037), low ALC nadir (HR, 1.84; P = 0.006), and high post-CRT NLR (HR, 2.12; P = 0.002) were independent prognostic factors for unfavorable PFS, which were incorporated into a nomogram with a concordance index of 0.70 (95% CI, 0.67-0.72). High-risk patients stratified by the nomogram had worse survival and were associated with lower levels of leukocyte and T cell activation, proliferation, and migration and less intratumoral immune cell infiltration.
conclusionsPre-CRT PLR, ALC nadir during CRT, and post-CRT NLR were significantly associated with PFS in patients with ESCC receiving CRT and immunotherapy. A nomogram model with good prognostic ability was developed.
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