# Prognostic Impact of the Gustave Roussy Immune Score on Cancer-Specific Survival and Treatment Completion in Patients with Bladder Cancer

**Authors:** Neslihan Özyurt, Aykut Turhan

PMC · DOI: 10.3390/diagnostics16040574 · Diagnostics · 2026-02-14

## TL;DR

This study shows that the Gustave Roussy Immune Score (GRIm-score) predicts survival and treatment outcomes in bladder cancer patients better than traditional methods.

## Contribution

The study demonstrates the GRIm-score's independent prognostic value for bladder cancer patients undergoing curative treatment.

## Key findings

- High GRIm-score patients had significantly shorter cancer-specific survival, progression-free survival, and overall survival.
- High GRIm-score was independently linked to a 2.48-fold higher cancer-specific mortality risk.
- Patients with a high GRIm-score were less likely to complete their treatment.

## Abstract

Background: Bladder cancer has diverse clinical outcomes, even in patients receiving curative treatment. Traditional clinicopathological indicators inadequately assess individual risk. The Gustave Roussy Immune Score (GRIm-score), which combines albumin, lactate dehydrogenase (LDH), and neutrophil-to-lymphocyte ratio (NLR), is a prognostic factor for solid tumors; however, its role in bladder cancer remains unclear. Methods: In this retrospective cohort study, patients with bladder cancer confirmed through histopathology received bladder-preserving multimodal therapy or radical cystectomy between October 2010 and April 2025. Participants were grouped into low (0–1) and high (2–3) GRImS categories for analysis. The study examined cancer-specific survival (CSS) and the secondary outcomes of progression-free survival (PFS), overall survival (OS), and treatment completion. Survival analyses were performed using the Kaplan–Meier method and Cox proportional hazard regression. Results: A total of 89 patients participated in the study, with 73 (82.0%) and 16 (18.0%) having low and high GRIm-Score. During a median follow-up of 21.5 months, patients with a high GRIm-score had significantly shorter PFS, OS, and CSS than those with a low GRIm-score. The median CSS was 14.07 months for the high GRIm-score group and 27.75 months for the low GRIm-score group (p = 0.004). In multivariable Cox regression analysis, a high GRIm-score was independently associated with an increased cancer-specific mortality risk (hazard ratio [HR] 2.48, 95% confidence interval [CI], 1.31–4.67; p = 0.005). Treatment completion was lower in the high GRIm-score group (31.3% vs. 64.4%, p = 0.031). Conclusions: The GRIm-score serves as an independent prognostic indicator for cancer-specific survival in patients with bladder cancer undergoing curative treatment and is related to therapy completion.

## Linked entities

- **Diseases:** bladder cancer (MONDO:0004986)

## Full-text entities

- **Genes:** ALB (albumin) [NCBI Gene 213] {aka FDAHT, HSA, PRO0883, PRO0903, PRO1341}
- **Diseases:** hydronephrosis (MESH:D006869), LDH (MESH:C538133), toxicity (MESH:D064420), Immune (MESH:D007154), infection (MESH:D007239), colorectal cancer (MESH:D015179), urothelial cancer (MESH:D014523), atherosclerotic cardiovascular disease (MESH:D050197), HT (MESH:D006973), death (MESH:D003643), malnutrition (MESH:D044342), solid (MESH:D018250), Bladder Cancer (MESH:D001749), immune dysregulation (OMIM:614878), congestive heart failure (MESH:D006333), DM (MESH:D009223), diabetes mellitus (MESH:D003920), pulmonary adenocarcinoma (MESH:D000230), Cancer (MESH:D009369), small cell lung cancer (MESH:D055752), NLR (MESH:D015467), injury to (MESH:D014947), Inflammation (MESH:D007249), hypoalbuminemia (MESH:D034141), COPD (MESH:D029424), autoimmune disease (MESH:D001327)
- **Chemicals:** alcohol (MESH:D000438), prednisone (MESH:D011241), azathioprine (MESH:D001379), methotrexate (MESH:D008727)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

6 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12939023/full.md

## References

56 references — full list in the complete paper: https://tomesphere.com/paper/PMC12939023/full.md

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Source: https://tomesphere.com/paper/PMC12939023