A modified nutritional inflammation score to predict prognosis in patients with unresectable esophageal squamous cell carcinoma receiving first-line immunotherapy

Abstract Objectives While biomarkers related to nutrition and inflammation have been widely recognized as reliable prognostic indicators for esophageal squamous cell carcinoma (ESCC), their combined predictive efficacy in unresectable ESCC patients undergoing first-line immunotherapy has not been fully verified. Moreover, there is still a shortage of simple and specialized combined prognostic scoring tools for these patients. This study aims to construct a novel modified nutrition-inflammation index to predict the clinical prognosis of patients with unresectable ESCC treated with first-line immunotherapy. Methods A total of 330 individuals were included in this retrospective analysis. The random forest algorithm was applied to assess the prognostic significance of baseline nutritional and inflammatory markers, facilitating the development of a comprehensive nutritional-inflammation score (NIS). Differences in overall survival (OS) across risk groups were evaluated using Kaplan-Meier survival analysis with log-rank tests. Subsequently, the prognostic performance of the NIS across various clinical subgroups was further examined. Cox hazard model was utilized to verify the predictive impact of the NIS on OS, followed by the construction of a nomogram based on significant independent predictors to systematically evaluate its predictive ability. Results Patients with a high NIS demonstrated significantly prolonged OS in both the overall cohort and all predefined subgroups. Multivariate analysis identified Eastern Cooperative Oncology Group Performance Status (ECOG PS) score, distant organ metastasis, immunotherapy modality, and NIS as independent prognostic factors (all p<0.001). The nomogram exhibited robust predictive performance, yielding a C-index of 0.734 (95 % CI: 0.688–0.780). Conclusions The novel NIS serves as an effective prognostic indicator for patients with unresectable ESCC undergoing first-line immunotherapy.

Authors

Institutions

Publication Details

Journal
ONCOLOGIE
Published
2026-05-18
DOI
https://doi.org/10.1515/oncologie-2025-0574
Primary Topic
Inflammatory Biomarkers in Disease Prognosis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A modified nutritional inflammation score to predict prognosis in patients with unresectable esophageal squamous cell carcinoma receiving first-line immunotherapy

Xuan Yang, Wei Geng, Yuhan Zhang, Liu Gui et al.
ONCOLOGIE
Inflammatory Biomarkers in Disease Prognosis
article

A modified nutritional inflammation score to predict prognosis in patients with unresectable esophageal squamous cell carcinoma receiving first-line immunotherapy

Xuan Yang, Wei Geng, Yuhan Zhang, Liu Gui, Haiping Liu, Fen Wen, Min Xu, Zini Zhou
article en

Abstract

Abstract Objectives While biomarkers related to nutrition and inflammation have been widely recognized as reliable prognostic indicators for esophageal squamous cell carcinoma (ESCC), their combined predictive efficacy in unresectable ESCC patients undergoing first-line immunotherapy has not been fully verified. Moreover, there is still a shortage of simple and specialized combined prognostic scoring tools for these patients. This study aims to construct a novel modified nutrition-inflammation index to predict the clinical prognosis of patients with unresectable ESCC treated with first-line immunotherapy. Methods A total of 330 individuals were included in this retrospective analysis. The random forest algorithm was applied to assess the prognostic significance of baseline nutritional and inflammatory markers, facilitating the development of a comprehensive nutritional-inflammation score (NIS). Differences in overall survival (OS) across risk groups were evaluated using Kaplan-Meier survival analysis with log-rank tests. Subsequently, the prognostic performance of the NIS across various clinical subgroups was further examined. Cox hazard model was utilized to verify the predictive impact of the NIS on OS, followed by the construction of a nomogram based on significant independent predictors to systematically evaluate its predictive ability. Results Patients with a high NIS demonstrated significantly prolonged OS in both the overall cohort and all predefined subgroups. Multivariate analysis identified Eastern Cooperative Oncology Group Performance Status (ECOG PS) score, distant organ metastasis, immunotherapy modality, and NIS as independent prognostic factors (all p<0.001). The nomogram exhibited robust predictive performance, yielding a C-index of 0.734 (95 % CI: 0.688–0.780). Conclusions The novel NIS serves as an effective prognostic indicator for patients with unresectable ESCC undergoing first-line immunotherapy.

ONCOLOGIE
Jiangsu University (CN), Xuzhou Medical College (CN), Nantong University (CN), Yancheng First People's Hospital (CN)
Zero hunger
Openalex Percentile: Top 7%
Inflammatory Biomarkers in Disease Prognosis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.