Systemic Immune-Inflammation Index as a Prognostic Marker in Gastric and Gastroesophageal Junction Cancers Receiving Perioperative FLOT Therapy.
1/5 보강
PICO 자동 추출 (휴리스틱, conf 3/4)
유사 논문P · Population 대상 환자/모집단
168 patients with histologically confirmed gastric or GEJ cancer who received perioperative FLOT therapy were included.
I · Intervention 중재 / 시술
perioperative FLOT therapy were included
C · Comparison 대조 / 비교
추출되지 않음
O · Outcome 결과 / 결론
: Elevated baseline SII is an independent predictor of worse OS and DFS in gastric and GEJ cancer patients receiving perioperative FLOT chemotherapy. SII may serve as a practical and inexpensive biomarker to support risk stratification and personalized treatment decisions.
: The systemic immune-inflammation index (SII), derived from peripheral blood parameters, has emerged as a novel marker reflecting the balance between host immunity and tumor-related inflammatory burd
- p-value p = 0.039
- 95% CI 0.558-0.747
- HR 1.88
APA
Peker P, Geçgel A, et al. (2025). Systemic Immune-Inflammation Index as a Prognostic Marker in Gastric and Gastroesophageal Junction Cancers Receiving Perioperative FLOT Therapy.. Medicina (Kaunas, Lithuania), 61(9). https://doi.org/10.3390/medicina61091614
MLA
Peker P, et al.. "Systemic Immune-Inflammation Index as a Prognostic Marker in Gastric and Gastroesophageal Junction Cancers Receiving Perioperative FLOT Therapy.." Medicina (Kaunas, Lithuania), vol. 61, no. 9, 2025.
PMID
41011005
Abstract
: The systemic immune-inflammation index (SII), derived from peripheral blood parameters, has emerged as a novel marker reflecting the balance between host immunity and tumor-related inflammatory burden. This study aimed to investigate the prognostic impact of baseline SII on survival outcomes in patients with gastric or gastroesophageal junction (GEJ) cancer undergoing perioperative FLOT (5-fluorouracil, leucovorin, oxaliplatin, and docetaxel) chemotherapy. : In this retrospective study, 168 patients with histologically confirmed gastric or GEJ cancer who received perioperative FLOT therapy were included. SII was calculated using the formula: SII = (Platelets × Neutrophils)/Lymphocytes. ROC curve analysis determined the optimal SII cutoff for predicting mortality. Patients were categorized into low (SII ≤685) and high (SII >685) groups. Overall survival (OS) and disease-free survival (DFS) were evaluated using Kaplan-Meier analysis and compared via the log-rank test. Cox proportional hazards regression models were used for univariate and multivariate analysis. : The optimal cutoff value for SII was determined to be 685 (AUC: 0.652, 95% CI: 0.558-0.747, = 0.003). High SII was significantly shorter OS (17.4 vs. 28.2 months, = 0.001) Multivariate analysis identified high SII (HR = 1.88, 95% CI: 1.36-2.89, p = 0.039), advanced T stage (HR = 3.693, < 0.001), poor treatment response (HR = 0.36, < 0.001), and ECOG-PS ≥1 (HR = 3.297, < 0.001) as independent predictors of mortality. : Elevated baseline SII is an independent predictor of worse OS and DFS in gastric and GEJ cancer patients receiving perioperative FLOT chemotherapy. SII may serve as a practical and inexpensive biomarker to support risk stratification and personalized treatment decisions.
MeSH Terms
Humans; Male; Female; Middle Aged; Retrospective Studies; Stomach Neoplasms; Esophagogastric Junction; Aged; Prognosis; Leucovorin; Fluorouracil; Inflammation; Oxaliplatin; Docetaxel; Antineoplastic Combined Chemotherapy Protocols; Esophageal Neoplasms; ROC Curve; Proportional Hazards Models; Adult; Biomarkers; Kaplan-Meier Estimate
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