Integration of the GRIm Score with Pathologic Immune and Stromal Markers to Develop a Combined Prognostic Model in Gastric Cancer: A Retrospective Single-Center Study

<i>Background and Objectives</i>: The Gustave Roussy Immune (GRIm) score, reflecting systemic inflammation and nutritional status, has emerged as a simple and reproducible prognostic biomarker in various malignancies. However, its prognostic interaction with tumor microenvironmental factors remains unclear in gastric cancer. The primary aim of this study was to evaluate the prognostic value of the GRIm score in patients with resectable gastric adenocarcinoma, while the secondary aim was to determine whether integrating the GRIm score with tumor microenvironment-related pathological markers could improve prognostic stratification. <i>Materials and Methods</i>: This retrospective study analyzed 188 patients with resectable gastric adenocarcinoma treated at the Trakya University Faculty of Medicine between 2007 and 2018. GRIm scores were calculated from preoperative lactate dehydrogenase (LDH), albumin, and neutrophil-to-lymphocyte ratio (NLR) values. Pathologic parameters, including programmed death-ligand 1 (PD-L1) expression (combined positive score [CPS] ≥ 1 vs. <1), tumor-stroma ratio (TSR; stromal component ≥ 50% vs. <50%), and tumor-infiltrating lymphocyte (TIL) density (CD8+ ≥ 10% vs. <10%), were evaluated on surgical specimens. Survival outcomes were assessed using Kaplan-Meier and multivariate Cox analyses. <i>Results</i>: The study population had a mean age of 61.8 years and was predominantly male (72.3%). Patients with low GRIm scores had significantly longer disease-free survival (DFS; 24 vs. 12 months; <i>p</i> = 0.004) and overall survival (OS; 32 vs. 19 months; <i>p</i> = 0.006). In multivariate analysis, the GRIm score remained an independent predictor for both disease-free survival (<i>p</i> = 0.035) and overall survival (<i>p</i> = 0.044). Among combined models, the GRIm-TSR classification provided the most pronounced stratification (median DFS = 35 vs. 12 months; OS = 45 vs. 19 months; <i>p</i> = 0.014 and 0.001, respectively), retaining independent prognostic significance (hazard ratio [HR] = 1.23; <i>p</i> = 0.005). Integrating GRIm with PD-L1 and TIL density also improved prognostic discrimination. <i>Conclusions</i>: The GRIm score is a robust and cost-effective biomarker that independently predicts disease-free survival and overall survival in resectable gastric adenocarcinoma. Its combination with microenvironmental markers-PD-L1, TIL, and TSR-captures complementary biological dimensions of tumor aggressiveness, offering an integrative and clinically feasible framework for individualized risk assessment and postoperative management. Prospective multicenter validation is warranted.

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Journal
Medicina
Published
2026-01-16
DOI
https://doi.org/10.3390/medicina62010192
Primary Topic
Inflammatory Biomarkers in Disease Prognosis
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article

Integration of the GRIm Score with Pathologic Immune and Stromal Markers to Develop a Combined Prognostic Model in Gastric Cancer: A Retrospective Single-Center Study

Muhammet Bekir Hacıoğlu, Ahmet Küçükarda, Ebru Taştekin, Bülent Erdoğan et al.
Medicina
Inflammatory Biomarkers in Disease Prognosis
article

Integration of the GRIm Score with Pathologic Immune and Stromal Markers to Develop a Combined Prognostic Model in Gastric Cancer: A Retrospective Single-Center Study

Muhammet Bekir Hacıoğlu, Ahmet Küçükarda, Ebru Taştekin, Bülent Erdoğan, Tayyip İlker Aydın, Sernaz Topaloğlu, Gökhan Öztürk, Canberk Topuz, Aysun Fatma Akkuş
article en

Abstract

<i>Background and Objectives</i>: The Gustave Roussy Immune (GRIm) score, reflecting systemic inflammation and nutritional status, has emerged as a simple and reproducible prognostic biomarker in various malignancies. However, its prognostic interaction with tumor microenvironmental factors remains unclear in gastric cancer. The primary aim of this study was to evaluate the prognostic value of the GRIm score in patients with resectable gastric adenocarcinoma, while the secondary aim was to determine whether integrating the GRIm score with tumor microenvironment-related pathological markers could improve prognostic stratification. <i>Materials and Methods</i>: This retrospective study analyzed 188 patients with resectable gastric adenocarcinoma treated at the Trakya University Faculty of Medicine between 2007 and 2018. GRIm scores were calculated from preoperative lactate dehydrogenase (LDH), albumin, and neutrophil-to-lymphocyte ratio (NLR) values. Pathologic parameters, including programmed death-ligand 1 (PD-L1) expression (combined positive score [CPS] ≥ 1 vs. <1), tumor-stroma ratio (TSR; stromal component ≥ 50% vs. <50%), and tumor-infiltrating lymphocyte (TIL) density (CD8+ ≥ 10% vs. <10%), were evaluated on surgical specimens. Survival outcomes were assessed using Kaplan-Meier and multivariate Cox analyses. <i>Results</i>: The study population had a mean age of 61.8 years and was predominantly male (72.3%). Patients with low GRIm scores had significantly longer disease-free survival (DFS; 24 vs. 12 months; <i>p</i> = 0.004) and overall survival (OS; 32 vs. 19 months; <i>p</i> = 0.006). In multivariate analysis, the GRIm score remained an independent predictor for both disease-free survival (<i>p</i> = 0.035) and overall survival (<i>p</i> = 0.044). Among combined models, the GRIm-TSR classification provided the most pronounced stratification (median DFS = 35 vs. 12 months; OS = 45 vs. 19 months; <i>p</i> = 0.014 and 0.001, respectively), retaining independent prognostic significance (hazard ratio [HR] = 1.23; <i>p</i> = 0.005). Integrating GRIm with PD-L1 and TIL density also improved prognostic discrimination. <i>Conclusions</i>: The GRIm score is a robust and cost-effective biomarker that independently predicts disease-free survival and overall survival in resectable gastric adenocarcinoma. Its combination with microenvironmental markers-PD-L1, TIL, and TSR-captures complementary biological dimensions of tumor aggressiveness, offering an integrative and clinically feasible framework for individualized risk assessment and postoperative management. Prospective multicenter validation is warranted.

MedicinaVol. 62(1)
Trakya University (TR)
Zero hunger
Openalex Percentile: Top 86%
Inflammatory Biomarkers in Disease Prognosis
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