Table · dataset · 2026
Table 1_Early time-of-day infusion of PD-1 inhibitor improves prognosis in advanced gastric cancer: a multicenter real-world study.docx
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Background<p>Whether the time-of-day administration (ToDA) of programmed cell death 1 (PD-1) inhibitor infusion influences survival in advanced gastric cancer (AGC) remains unclear.
Description
This research aimed to evaluate the impact of ToDA on the prognosis of AGC patients.</p>Methods<p>This multicenter retrospective study enrolled 416 AGC patients receiving PD-1 inhibitor therapy, who were divided into early and late ToDA groups based on sensitivity analyses using 30-minute intervals of the administration time window.
After 1:2 propensity score matching (PSM), progression-free survival (PFS) and overall survival (OS) were compared between groups, and subgroup analyses were conducted. Subsequently, prognostic risk score models were established based on independent prognostic factors.</p>Results<p>A cutoff time of 15:00 was established via sensitivity analyses in the overall cohort. Patients were categorized into early and late ToDA groups.
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After PSM, multivariable Cox analyses identified late ToDA as an independent risk factor for both PFS (P < 0.001) and OS (P = 0.004). Kaplan–Meier curves demonstrated significantly better PFS (P = 0.003) and OS (P = 0.003) for the early ToDA group. In the overall cohort, prognostic risk score models incorporating ToDA, metastasis sites, treatment lines, neutrophil-to-lymphocyte ratio (NLR), human epidermal growth factor receptor 2 (HER-2) status and programmed cell death ligand 1 (PD-L1) status effectively stratified patients into low-, middle-, and high-risk groups with distinct survival (P < 0.001).
The detrimental effect was observed across most major subgroups, though several subgroup analyses were not statistically significant.</p>Conclusions<p>This research provides real-world evidence that early ToDA of PD-1 inhibitors is associated with improved prognosis in AGC patients, providing a rationale for chronotherapy optimization and introducing a preliminary risk stratification model for AGC immunotherapy. The risk scoring model requires prospective validation.</p>
Links
Where it is published
- DOI doi.org/10.3389/fimmu.2026.1945065.s001 ↗
DOI / persistent id · from figshare com
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from figshare com
Topics
- From keywords
- Astronomy & Astrophysics · Chemistry · Computer Science & AI · Earth & Environmental Science · Economics & Finance · Engineering · Humanities · Life Sciences · Medicine & Health · Ocean & Atmospheric Science · Social Science
- Inferred from text
- Cancer 75% · Oncology and carcinogenesis 69% · Tabular 65%
Provenance · 1 source records, 19 field assertions
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