Introduction: Metastatic colorectal cancer (mCRC) presents significant clinical challenges due to its heterogeneous nature and variable treatment responses. The Gustave Roussy Immune Score (GRIm-Score) has emerged as a potential biomarker for prognostication and prediction in mCRC, although its precise role remains under investigation.

Methods: We conducted a retrospective study that included 173 patients diagnosed with mCRC. The patients were treated in the first line with 5-fluorouracil (5-FU)-based chemotherapy (CHT) and a molecular agent based on their eligibility. We assessed the overall survival (OS) time, progression-free survival (PFS) time, and the overall response rate (ORR), utilizing the GRIm-score measured at baseline (referred to as GRImT0) and the variance between GRImT0 and the GRIm score measured three months after treatment initiation (referred to as GRIm∆). We also performed a subgroup analysis based on the type of treatment received.

Results: Our analysis revealed that the GRIm-Score holds promise as a prognostic marker in mCRC, with high scores correlating with poorer survival outcomes. However, in the subgroup analysis, this prognostic value remained relevant only for patients treated with CHT and anti-EGFR (epidermal growth factor receptor) agents, such as cetuximab and panitumumab. GRIm-Score exhibited no predictive value irrespective of the treatment received.

Conclusion: The GRIm-Score shows potential as a prognostic mCRC, although we believe that this potential is limited. Integration of the GRIm-Score into clinical practice should be done with caution and is not recommended at this time. However, further research is needed to fully elucidate its clinical utility and optimize its incorporation into routine clinical care.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11116742PMC
http://dx.doi.org/10.7759/cureus.58935DOI Listing

Publication Analysis

Top Keywords

gustave roussy
8
roussy immune
8
immune score
8
score grim-score
8
metastatic colorectal
8
colorectal cancer
8
patients treated
8
subgroup analysis
8
grim-score
7
mcrc
5

Similar Publications

Classification of germline non-truncating variants: a new approach to interpretation.

J Med Genet

November 2024

Cancer Genetics Unit, Institut Bergonié, Bordeaux, Aquitaine, France.

Article Synopsis
  • PTEN hamartoma tumour syndrome (PHTS) includes syndromes like Cowden syndrome, with missense variants making up 30% of PHTS cases, yet their classification is complex.
  • A study from the Bergonie Institute identified 76 non-truncating variants in 166 patients, developing a new classification method using criteria like functional analysis, phenotypic features, and familial patterns.
  • The new approach successfully reclassifies 25 variants, revealing the need to update current classification standards based on multiple factors, and it requires further validation in future research.
View Article and Find Full Text PDF

Background: The ICON7 trial previously reported improved progression-free survival in women with ovarian cancer with the addition of bevacizumab to standard chemotherapy, with the greatest effect in patients at high risk of disease progression. We report the final overall survival results of the trial.

Methods: ICON7 was an international, phase 3, open-label, randomised trial undertaken at 263 centres in 11 countries across Europe, Canada, Australia and New Zealand.

View Article and Find Full Text PDF

Methodological aspects of estimating rare cancer prevalence in Europe: the experience of the RARECARE project.

Cancer Epidemiol

December 2013

Department of Cancer Epidemiology, Istituto Superiore di Sanità, Rome, Italy. Electronic address:

This paper describes the usage and the performance evaluation of the completeness index method in the 'Surveillance of Rare Cancers in Europe project' (RARECARE) for estimating rare cancer prevalence in Europe. The 15-year prevalence at 1st January 2003 for 255 cancers is obtained from a pool of 22 RARECARE cancer registries (CRs). Incidence and survival models are applied to the RARECARE database to estimate the parameters from which the completeness indices are calculated.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!