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

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...

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Detalles Bibliográficos
Autores principales: Sun, Ke-Xin, Xu, Ru-Qin, Rong, Huan, Pang, Hua-Yang, Xiang, Ting-Xiu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10586078/
https://www.ncbi.nlm.nih.gov/pubmed/37851510
http://dx.doi.org/10.1080/07853890.2023.2236640
Descripción
Sumario: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; I(2) = 62%) and progression-free survival (HR = 1.42; 95%CI: 1.22–1.66; p < 0.0001; I(2) = 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.