Evidence map›Paper›PMID 41670757›Full record

ArticleDiscover oncology2026

A composite immune-nutritional and tumor marker score predicts outcomes in LA-ESCC treated with neoadjuvant chemoimmunotherapy and surgery.

Yiwei Fan, Jiang Zhou, Xiaotian Liu, Qianhe Ren, Shichun Lu, Weiguo Jin

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Article in Discover oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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6 authors.

Yiwei Fan *Northern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou, 225001, China.
Jiang Zhou *Northern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou, 225001, China.
Xiaotian LiuNorthern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou, 225001, China.
Qianhe RenNorthern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou, 225001, China.
Shichun LuNorthern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou, 225001, China.
Weiguo JinNorthern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou, 225001, China. doctorjin1231@outlook.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNeoadjuvant chemoimmunotherapy (nCIT) has improved outcomes in patients with locally advanced esophageal squamous cell carcinoma (LA-ESCC). However, accessible and reliable biomarkers to predict survival and pathological response remain limited. This study assessed the prognostic and predictive value of the Global Immune-Nutrition Index (GINI), cytokeratin-19 fragment (CYFRA 21 - 1), fibrinogen-albumin ratio index (FARI), and a composite score combining these markers-the GINI-CYFRA 21 - 1-FARI (GCF) score.

methodsA retrospective analysis was conducted on 138 LA-ESCC patients who received nCIT followed by radical esophagectomy between 2021 and 2023. Optimal cut-off values for GINI, CYFRA 21 - 1, and FARI were determined using X-tile software. The composite GCF score was developed accordingly. Associations with disease-free survival (DFS) were evaluated using Kaplan-Meier analysis and multivariable Cox regression. Predictive performance was assessed via time-dependent ROC curves. Tumor regression grade (TRG) was analyzed using logistic regression, and a nomogram was constructed to predict pathological response.

resultsElevated levels of GINI (median DFS: 20 vs. not estimable [NE] months; p = 0.001), CYFRA 21 - 1 (19 vs. NE months; p < 0.001), FARI (11 vs. 26 months; p < 0.001), and higher GCF scores (0 vs. 1 vs. ≥2: 18 vs. 22 vs. NE months; p < 0.001) were associated with worse DFS. The GCF score was independently predictive of DFS (low vs. high: HR = 0.264; p = 0.028) and demonstrated consistent discriminative capacity. For pathological response, the GCF score showed predictive value for TRG (AUC = 0.625; p = 0.004) and was independently associated with poor TRG (high vs. low: OR = 2.170; p = 0.048). A nomogram incorporating the GCF score outperformed models excluding it (AUC: 0.787 vs. 0.662; p < 0.05).

conclusionsThe GCF score-a composite of GINI, CYFRA 21 - 1, and FARI-independently predicts DFS and pathological response following nCIT and surgery in LA-ESCC, and may hold potential as a practical, blood-based biomarker. Its integration significantly enhances predictive model performance and may aid in individualized patient risk stratification.

Indexed as

Esophageal cancerGCFNeoadjuvantSurvivalTumor regression grade

Identifiers

PMID41670757
PMCPMC12996501

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