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Meta-Analysis
. 2023;55(2):2236640.
doi: 10.1080/07853890.2023.2236640. Epub 2023 Oct 18.

Prognostic significance of the Gustave Roussy immune (GRIm) score in cancer patients: a meta-analysis

Ke-Xin Sun  1 , Ru-Qin Xu  1 , Huan Rong  2 , Hua-Yang Pang  2 , Ting-Xiu Xiang  1   2
Affiliations
Meta-Analysis

Prognostic significance of the Gustave Roussy immune (GRIm) score in cancer patients: a meta-analysis

Ke-Xin Sun et al. Ann Med. 2023.

Abstract

Background: The prognostic value of the Gustave Roussy immune (GRIm) score in cancer patients has been widely reported but remains inconsistent. The aim of this study is to systematically investigate the relationship between the GRIm score and survival outcomes in cancer patients.

Methods: Relevant literature was identified using electronic databases including Web of Science, PubMed, and Embase from the inception to March 2023. The primary endpoints were long-term oncological outcomes. Subgroup analysis and sensitivity analysis were conducted during the meta-analysis.

Results: Fifteen studies (20 cohorts) including 4997 cancer patients were enrolled. The combined results revealed that patients in the high GRIm group had a deteriorated overall survival (HR = 2.07 95%CI: 1.73-2.48; p < 0.0001; I2 = 62%) and progression-free survival (HR = 1.42; 95%CI: 1.22-1.66; p < 0.0001; I2 = 36%). The prognostic values of GRIm on overall survival and progression-free survival were observed across various tumour types and tumour stages. Sensitivity analysis supported the stability and reliability of the above results.

Conclusion: Our evidence suggested that the GRIm score could be a valuable prognostic marker in cancer patients, which can be used by clinicians to stratify patients and formulate individualized treatment plans.

Keywords: Cancers; Gustave Roussy immune score; meta-analysis; survival outcomes.

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Conflict of interest statement

No conflict of interest was reported by the author(s).

Figures

Figure 1.
Figure 1.
The PRISMA flowchart of study selection.
Figure 2.
Figure 2.
Quality assessment of included studies.
Figure 3.
Figure 3.
Forest plot Assessing the relationship between the GRIm and OS.
Figure 4.
Figure 4.
Forest plot Accessing the relationship between the GRIm and PFS.
See this image and copyright information in PMC

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