Evidence map›Paper›PMID 40950267›Full record

ArticleAmerican journal of translational research2025

Clinical efficacy and predictive indicators of cindilizumab combined with XELIRI protocol in advanced colorectal carcinoma patients.

Weigeng Liu, Huhu Xue, Qian Lei, Ziyuan Jia, Shuang He, Guorui Ma

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Article in American journal of translational 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Weigeng LiuDepartment of Proctology II, Xi'an Daxing Hospital Xi'an 710082, Shaanxi, China.
Huhu XueDepartment of Proctology II, Xi'an Daxing Hospital Xi'an 710082, Shaanxi, China.
Qian LeiDepartment of Anorectal Surgery in Central Digestive Disease Ward, Baoji High-Tech Hospital Baoji 721000, Shaanxi, China.
Ziyuan JiaDepartment of Proctology II, Xi'an Daxing Hospital Xi'an 710082, Shaanxi, China.
Shuang HeTumor Diagnosis and Treatment Center, The First Hospital of Yulin Yulin 719000, Shaanxi, China.
Guorui MaDepartment of General Surgery I, Dingxi People's Hospital No. 22 Anding Road, Anding District, Dingxi 743000, Gansu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the therapeutic efficacy of adding cindilizumab to the Xeloda-Irinotecan (XELIRI) regimen in patients with advanced colorectal cancer and to identify clinical and molecular biomarkers predictive of treatment response.

methodsA retrospective analysis was conducted on 197 patients with advanced colorectal carcinoma treated between January 2019 and June 2023. Patients were divided into two cohorts: the standard treatment group receiving XELIRI alone (n=103) and the combined treatment group receiving XELIRI with cindilizumab (n=94). Treatment response was assessed according to RECIST criteria and classified as responsive (complete response [CR] or partial response [PR]) or non-responsive (stable disease [SD] or progressive disease [PD]). Logistic regression analysis was performed to identify independent predictors of treatment response. Adverse events were recorded throughout the treatment course.

resultsThe experimental cohort demonstrated statistically higher objective response rate (ORR) and disease control rate (DCR) compared to the standard treatment cohort (ORR: 38.30% versus 22.33%, P=0.015; DCR: 80.85% versus 66.02%, P=0.019). The incidence of hypothyroidism and renal impairment was significantly higher in the combination group (P=0.002). Logistic regression identified carcinoembryonic antigen (CEA) (OR=1.336, P<0.001), tumor diameter (OR=2.818, P=0.001), KRAS/NRAS gene status (OR=6.229, P=0.001), and treatment regimen (OR=0.079, P<0.001) as independent predictors of treatment response. Receiver operating characteristic (ROC) curve analysis showed that their combined prediction significantly improved predictive efficacy (AUC=0.881), with high sensitivity and specificity.

conclusionCindilizumab combined with XELIRI regimen improves ORR and DCR in patients with advanced colorectal cancer but may increase the risk of hypothyroidism and renal impairment. CEA, tumor diameter, KRAS/NRAS gene, and treatment regimen are independent predictors of treatment response. The combined predictive model demonstrates robust diagnostic performance.

Indexed as

advanced colorectal cancerCindilizumabKRAS/NRAS genelymphatic metastasisXELIRI

Identifiers

PMID40950267
PMCPMC12432697

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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 OpenQuestion graph.