Differential predictive value of baseline tumor size according to PD-L1 expression in advanced NSCLC treated with immune checkpoint inhibitors.
[BACKGROUND] The predictive role of baseline tumor size (BTS) in advanced NSCLC treated with immune checkpoint inhibitors (ICIs) is unclear.
- p-value p = 0.01
- p-value p < 0.001
APA
Ito H, Shirasawa M, et al. (2026). Differential predictive value of baseline tumor size according to PD-L1 expression in advanced NSCLC treated with immune checkpoint inhibitors.. Cancer treatment and research communications, 46, 101087. https://doi.org/10.1016/j.ctarc.2025.101087
MLA
Ito H, et al.. "Differential predictive value of baseline tumor size according to PD-L1 expression in advanced NSCLC treated with immune checkpoint inhibitors.." Cancer treatment and research communications, vol. 46, 2026, pp. 101087.
PMID
41544601
Abstract
[BACKGROUND] The predictive role of baseline tumor size (BTS) in advanced NSCLC treated with immune checkpoint inhibitors (ICIs) is unclear. We investigated its impact on ICI efficacy stratified by PD-L1 expression.
[METHODS] We retrospectively analyzed advanced NSCLC patients without driver mutations who received anti-PD-(L)1 therapy, with or without chemotherapy. The association between BTS and progression-free survival (PFS) was assessed according to tumor proportion score (TPS).
[RESULTS] A total of 423 patients were included, of whom 314 received ICI monotherapy, and 109 received chemoimmunotherapy. In the monotherapy group, patients with small tumors (<98 mm) exhibited significantly longer PFS compared to those with large tumors (≥98 mm) (7.1 vs. 2.3 months; p = 0.01). This trend was most pronounced in patients with TPS 1-49% receiving monotherapy (PFS: 4.9 vs. 1.3 months; p < 0.001). BTS was not significantly associated with PFS in the TPS ≥50% or <1% subgroups within the monotherapy cohort. However, in the chemoimmunotherapy group, PFS did not significantly differ between small and large tumors (7.1 vs. 5.5 months; p = 0.78). In the chemoimmunotherapy group, BTS significantly influenced PFS only in the TPS <1% subgroup (PFS 9.5 vs. 5.3 months; p = 0.03), but not in those with TPS ≥50% or 1-49%.
[DISCUSSION] BTS was a significant predictor of ICI monotherapy efficacy in patients with TPS 1-49%. Patients with large tumors and intermediate PD-L1 expression derived limited benefit from monotherapy, suggesting that chemoimmunotherapy may be more effective in this subgroup.
[METHODS] We retrospectively analyzed advanced NSCLC patients without driver mutations who received anti-PD-(L)1 therapy, with or without chemotherapy. The association between BTS and progression-free survival (PFS) was assessed according to tumor proportion score (TPS).
[RESULTS] A total of 423 patients were included, of whom 314 received ICI monotherapy, and 109 received chemoimmunotherapy. In the monotherapy group, patients with small tumors (<98 mm) exhibited significantly longer PFS compared to those with large tumors (≥98 mm) (7.1 vs. 2.3 months; p = 0.01). This trend was most pronounced in patients with TPS 1-49% receiving monotherapy (PFS: 4.9 vs. 1.3 months; p < 0.001). BTS was not significantly associated with PFS in the TPS ≥50% or <1% subgroups within the monotherapy cohort. However, in the chemoimmunotherapy group, PFS did not significantly differ between small and large tumors (7.1 vs. 5.5 months; p = 0.78). In the chemoimmunotherapy group, BTS significantly influenced PFS only in the TPS <1% subgroup (PFS 9.5 vs. 5.3 months; p = 0.03), but not in those with TPS ≥50% or 1-49%.
[DISCUSSION] BTS was a significant predictor of ICI monotherapy efficacy in patients with TPS 1-49%. Patients with large tumors and intermediate PD-L1 expression derived limited benefit from monotherapy, suggesting that chemoimmunotherapy may be more effective in this subgroup.
MeSH Terms
Humans; Carcinoma, Non-Small-Cell Lung; Immune Checkpoint Inhibitors; B7-H1 Antigen; Male; Female; Middle Aged; Retrospective Studies; Lung Neoplasms; Aged; Tumor Burden; Adult; Progression-Free Survival; Aged, 80 and over; Prognosis; Predictive Value of Tests
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