Granzyme B PET/CT predicts chemo-immunotherapy outcomes in microsatellite stable gastric cancers.
retrospective_cohort · Level III
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- Record sourced from PubMed, PMID 41540242.
- Also identified by DOI 10.1007/s00259-025-07734-w.
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Abstract
Prognostic stratification for microsatellite stable (MSS) gastric cancer (GC) remains challenging. This study evaluated the predictive and prognostic value of [<sup>68</sup>Ga]Ga-NOTA-GSI PET/CT imaging in a large cohort of MSS GC patients receiving chemo-immunotherapy. In this retrospective study, 145 patients with MSS GC underwent [<sup>68</sup>Ga]Ga-NOTA-GSI PET/CT after two or three cycles of chemo-immunotherapy. Measurements included SUVmax, SUVmean, GSI tumor volume (GSI-TV), total lesion uptake (TLU), tumor-liver ratio (TLR), and tumor-blood ratio (TBR). The study analyzed associations between short-term treatment response (RECIST 1.1 or tumor regression grade score) and progression-free survival (PFS) using receiver operating characteristic (ROC) curves, logistic regression, and Cox proportional hazards models. Responders exhibited significantly higher uptake of [<sup>68</sup>Ga]Ga-NOTA-GSI than non-responders, including SUVmax, sumSUVmax, and TBR (all P < 0.05) across all patients and various subgroups, while volumetric parameters (GSI-TV, TLU) showed no notable difference. SUVmax was a reliable predictor of response (AUC = 0.755 for all patients; AUC = 0.882 for the neoadjuvant subgroup). In survival analysis, an SUVmax ≥ 2.6 independently predicted significantly longer PFS (median PFS of 14.0 vs. 9.0 months; hazard ratio, 0.673; P = 0.016). The study highlighted the significant value of [<sup>68</sup>Ga]Ga-NOTA-GSI PET/CT in assessing the effectiveness of chemo-immunotherapy and predicting outcomes in MSS gastric cancer patients. Subgroup analysis confirmed its reliable predictive power across neoadjuvant, palliative, and adjuvant treatments, supporting the potential for its broad clinical application.
Medical subject headings
- Stomach Neoplasms
- Positron Emission Tomography Computed Tomography
- Granzymes
- Immunotherapy