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Systemic inflammation response index correlates with survival and predicts oncological outcome of resected pancreatic cancer following neoadjuvant chemotherapy

Ji Su Kim, Munseok Choi, Sung Hyun Kim, Ho Kyoung Hwang, Woo Jung Lee, Chang Moo Kang

2022Pancreatology25 citationsDOIOpen Access PDF

Abstract

BACKGROUND: The Systemic Inflammation Response Index (SIRI) has been used to predict the prognosis of various cancers. This study examined SIRI as a prognostic factor in the neoadjuvant setting and determined whether it changing after chemotherapy is related to patient prognosis. METHODS: Patients who underwent pancreatic surgery following neoadjuvant chemotherapy for pancreatic cancer were retrospectively analyzed. To establish the cut-off values, SIRIpre-neoadjuvant, SIRIpost-neoadjuvant, and SIRIquotient (SIRIpost-neoadjuvant/SIRIpre-neoadjuvant) were calculated and significant SIRI values were statistically determined to examine their effects on survival rate. RESULTS: The study included 160 patients. Values of SIRIpost-neoadjuvant ≥ 0.8710 and SIRIquotient <0.9516 affected prognosis (hazard ratio [HR], 1.948; 95% confidence interval [CI], 1.210-3.135; ∗∗P = 0.006; HR, 1.548; 95% CI, 1.041-2.302; ∗∗P = 0.031). Disease-free survival differed significantly at values of SIRIpost-neoadjuvant < 0.8710 and SIRIpost-neoadjuvant ≥ 0.8710 (P = 0.0303). Overall survival differed significantly between SIRIquotient <0.9516 and SIRIquotient ≥0.9516 (P = 0.0368). CONCLUSIONS: SIRI can predict the survival of patients with pancreatic ductal adenocarcinoma after resection and neoadjuvant chemotherapy. Preoperative SIRI value was correlated with disease-free survival, while changes in SIRI values were correlated with overall survival.

Topics & Concepts

MedicineInternal medicineNeoadjuvant therapyHazard ratioPancreatic cancerOncologyChemotherapyConfidence intervalAdenocarcinomaOverall survivalGastroenterologyCancerBreast cancerInflammatory Biomarkers in Disease PrognosisCancer Immunotherapy and BiomarkersPancreatic and Hepatic Oncology Research