Evidence mapPaperPMID 41234884Full record

ArticleTranslational cancer research2025

The systemic immune-inflammation index in the efficacy prediction of neoadjuvant chemotherapy in patients with endometrial cancer.

Jing Lin, Lingli Gu, Filomena Marino Carvalho, Luigi Della Corte, Jie Dang

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Article in Translational cancer research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 authors.

Jing Lin *Department of Gynecology and Obstetrics, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China.
Lingli Gu *Department of Clinical Laboratory, The Second People's Hospital of Nantong, Nantong, China.
Filomena Marino CarvalhoDepartment of Pathology, Faculdade de Medicina FMUSP, Universidade de São Paulo, São Paulo, SP, Brazil.
Luigi Della CorteDepartment of Neuroscience, Reproductive Sciences and Dentistry, University of Naples Federico II, Naples, Italy.
Jie DangDepartment of Gynecology, Nuclear Industry 215 Hospital of Shaanxi Province, Xianyang, China.

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6 · The paper itself

Abstract

Background: Patients with advanced endometrial cancer (EC) who undergo surgery after neoadjuvant chemotherapy have improved progression-free survival and overall survival rates. The systemic immune-inflammation index (SII), a novel comprehensive inflammatory biomarker, is associated with the development of various non-oncologic diseases and can predict the treatment efficacy and prognosis of cancer. The aim of this study was to determine the predictive value of SII for the efficacy of neoadjuvant chemotherapy in patients with inoperable EC or with surgical contraindications. Methods: Patients with EC treated with neoadjuvant chemotherapy in Xiang'an Hospital of Xiamen University and Nuclear Industry 215 Hospital of Shaanxi Province from January 2019 to January 2022 were selected as the research participants. According to the efficacy of neoadjuvant chemotherapy, patients with complete or partial response were assigned to the remission group, and those with stable or progressive disease were assigned to the non-remission group. The receiver operating characteristic (ROC) curve and area under the curve (AUC) were used to assess the predictive parameters for response and to define the independent variables to apply in a multiple logistic regression model. Results: A total of 150 patients with EC were included in this study, with 113 in the remission group and 37 in the non-remission group, representing an objective response rate of 75.33%. Moreover, 42 (28.00%) patients achieved complete response, 71 (47.33%) achieved partial response, 30 (20%) had stable disease, and 7 (4.67%) had progressive disease. After 3 years of follow-up, 42 (28.00%) patients died, including 25 in the remission group and 17 in the non-remission group. The results of multiple logistic regression model showed that hyperlipidemia, SII ≥494.26, non-endometrioid histological type, advanced Federation of Gynecology and Obstetrics staging, and high tumor grade were independently significant for ineffective neoadjuvant chemotherapy in patients with EC. Conclusions: SII levels in patients with EC can predict the efficacy of neoadjuvant chemotherapy.

Indexed as

endometrial cancer (EC)neoadjuvant chemotherapySystemic immune-inflammation index (SII)

Identifiers

PMID41234884
PMCPMC12605239

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.