Evidence map›Paper›PMID 40892139›Full record

ArticleDiscover oncology2025

Preliminary study on SIRI dynamic changes for the efficacy prediction and prognosis evaluation of advanced cancer patients treated with immunotherapy.

Xiuzhen Wei, Yinghai Liu, Huijuan Wang, Qingqing Yang, Baihong Zhang, Qianyu Liu, Yuan Zhu, Lingling Zhu, Zhengjie Zhang

Abstract read
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Article in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Xiuzhen Wei *Department of Oncology, Wu Wei Liang Zhou Hospital, Wuwei, Gansu, China.
Yinghai Liu *Department of Oncology, Wu Wei Liang Zhou Hospital, Wuwei, Gansu, China.
Huijuan Wang *Department of Oncology, Wu Wei Liang Zhou Hospital, Wuwei, Gansu, China.
Qingqing Yang *Department of Oncology, Wu Wei Liang Zhou Hospital, Wuwei, Gansu, China.
Baihong ZhangDepartment of Oncology, 940th Hospital of Joint Logistics Support Force of People's Liberation Army, Lanzhou, Gansu, China.
Qianyu LiuDepartment of Oncology, Wu Wei Liang Zhou Hospital, Wuwei, Gansu, China.
Yuan ZhuDepartment of Oncology, Wu Wei Liang Zhou Hospital, Wuwei, Gansu, China.
Lingling ZhuDepartment of Oncology, 940th Hospital of Joint Logistics Support Force of People's Liberation Army, Lanzhou, Gansu, China.
Zhengjie ZhangDepartment of Gastroenterology, Wu Wei Liang Zhou Hospital, Wuwei, Gansu, China. 34628588@qq.com.

Funding

Wuwei Science and Technology Bureau WW24B01SF087
6 · The paper itself

Abstract

objectiveTo investigate the values of systemic inflammatory response index (SIRI) and its dynamic changes in predicting the efficacy and evaluating the prognosis of immunotherapy for advanced cancers.

methodsA retrospective analysis was conducted on the clinical data of 245 patients with locally advanced and advanced cancers who received immune checkpoint inhibitors (ICI) treatment at the 940 Hospital of the Joint Logistics Support Force from June 2020 to June 2023.The χ2-test was used to compare the clinical pathological characteristics of patients in the disease control group and the no-control group, and Kruskal-Wallis test was used to compare the differences in SIRI pre-treatment, disease remission, and disease progression. The correlation between SIRI and progression free survival (PFS) of patients was analyzed using Kaplan-Meier survival curve and Log-rank test; and factors affecting PFS in cancer patients receiving ICIs treatment were analyzed through univariate and multivariate COX regression analysis.

resultsThere was a significant difference in the number of treatment lines between the disease control group and no-control group (P = 0.042), but no significant differences were observed in gender, age, tumor differentiation, number of metastatic organs and treatment plan between the two groups (P > 0.05). Compared with pre-treatment, the SIRI decreased during disease remission and increased again during disease progressed. Kaplan- Meier survival curves indicated that patients with high SIRI had shorter PFS than those with low SIRI (P = 0.019, < 0.001, 0.012). Univariate and multivariate COX regression analysis revealed that pre-treatment high SIRI (HR = 2.804,95%CI 1.150 ~ 6.838, P = 0.023) and disease remission high SIRI (HR = 2.469,95%CI 1.513 ~ 4.029, P<0.001) were independent risk factors for PFS in cancer patients undergoing immunotherapy.

conclusionThe inflammatory index SIRI can be a dynamic biomarker for evaluating the efficacy and prognosis of advanced cancer patients receiving ICI treatment.

Indexed as

Advanced cancerEfficacy predictionImmunotherapyPrognosis predictionSystemic inflammatory response index

Identifiers

PMID40892139
PMCPMC12405111

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