Related Experiment Video
Updated: Jan 13, 2026

Predictive Immune Modeling of Solid Tumors
Published on: February 25, 2020
Prognostic Significance of the Modified Glasgow Prognostic Score in Patients With Stage IV Melanoma Receiving Immune
Ken Horisaki1,2, Shusuke Yoshikawa1, Wataru Omata1
1Department of Dermatology, Shizuoka Cancer Center, Shizuoka, Japan.
Abstract:
Immune checkpoint inhibitors (ICIs) have transformed the treatment landscape for malignant melanoma (MM). However, given variable response rates and potential toxicities, identifying robust biomarkers is crucial. We investigated whether the modified Glasgow Prognostic Score (mGPS) predicts treatment efficacy and toxicity in Asian patients with advanced MM receiving first-line ICIs. We retrospectively analyzed 132 patients with stage IV MM treated at Shizuoka Cancer Center between 2012 and 2024. Patients were stratified by mGPS, which integrates C-reactive protein and albumin levels. Outcomes included objective response rate (ORR), progression-free survival (PFS), overall survival (OS), and the incidence of severe adverse events. The cohort was distributed as mGPS0 (70.5%), mGPS1 (12.9%), and mGPS2 (16.7%). Treatment efficacy declined notably with higher scores: ORR was 28.0% for mGPS0 and 23.5% for mGPS1, but dropped to 4.5% for mGPS2. Survival analysis revealed a clear prognostic stratification; median PFS was 6.2, 2.5, and 1.5 months, and median OS was 23.5, 14.6, and 1.9 months for mGPS0, mGPS1, and mGPS2, respectively. The mGPS2 group demonstrated significantly worse survival outcomes compared to the mGPS0 group. Conversely, the incidence of grade ≥ 3 adverse events did not differ significantly among the categories. The mGPS is a simple, accessible biomarker reflecting systemic inflammation and nutritional status. It effectively predicts ICI treatment outcomes in patients with advanced MM, particularly identifying those with mGPS2 as having a significantly poor prognosis.
More Related Videos
07:32Author Spotlight: Investigating Immune Cell Dynamics in the Tumor Microenvironment — Challenges and Innovations in Cancer Prognosis
Published on: April 12, 2024
06:05Author Spotlight: Multiplex Immunofluorescence Combined with Spatial Image Analysis for the Clinical and Biological Assessment of the Tumor Microenvironment
Published on: June 2, 2023