Evidence map›Paper›PMID 42251241›Full record

ArticleDiscover oncology2026

Construction of a nomogram for preoperative prediction of occult peritoneal metastasis in advanced gastric cancer based on circulating tumor cells and fibrinogen to albumin ratio.

Zhipeng Wu, Cheng Zuo, Changlei Wu, Huakai Tian, Zhengming Zhu, Wenjie Zhu, Liang Sun, Zitao Liu

Abstract read
In one paragraph

Article in Discover oncology, 2026. 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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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Zhipeng Wu *Department of Hepatobiliary Surgery, Jiangxi Province Hospital of Integrated Chinese & Western Medicine, Nanchang, Jiangxi, China.
Cheng Zuo *Department of General Surgery, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, 1 MinDe Road, Nanchang, 330006, Jiangxi, China.
Changlei Wu *Department of General Surgery, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, 1 MinDe Road, Nanchang, 330006, Jiangxi, China.
Huakai TianDepartment of General Surgery, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.
Zhengming ZhuDepartment of General Surgery, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, 1 MinDe Road, Nanchang, 330006, Jiangxi, China.
Wenjie ZhuDepartment of General Surgery, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, 1 MinDe Road, Nanchang, 330006, Jiangxi, China. 754024713@qq.com.
Liang SunDepartment of General Surgery, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, 1 MinDe Road, Nanchang, 330006, Jiangxi, China. sunliang960724@163.com.
Zitao LiuDepartment of General Surgery, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, 1 MinDe Road, Nanchang, 330006, Jiangxi, China. zitaoliu28@163.com.

Funding

Jiangxi Provincial Natural Science Foundation Key Project 20232ACB206032
6 · The paper itself

Abstract

backgroundOccult peritoneal metastasis (OPM) represents a type of distant metastasis that is often overlooked during the preoperative diagnosis of advanced gastric cancer (AGC).

methodsWe employed the negative enrichment combined with immunofluorescence in situ hybridization (imFISH) technique to detect the number of circulating tumor cells (CTC) in the peripheral blood of patients with AGC. 523 AGC patients were randomly divided into a training set (N = 367) and a validation set (N = 156) in a 7:3 ratio. We constructed a nomogram for predicting OPM risk through multivariate logistic regression. Finally, we evaluated the performance of the nomogram using multi-index cross-validation and clinical decision curve analysis (DCA).

resultsThe number of CTC and the level of the fibrinogen-to-albumin ratio (FAR) in patients with OPM positivity were significantly higher than those in OPM-negative patients. Multivariate logistic regression analysis revealed that CTC > 4/5 mL, FAR > 0.094, CA125 > 35.000 U/mL, and tumor invasion of the serosal layer were identified as independent risk factors for OPM in AGC. The areas under the ROC curve of the nomogram in the training and validation sets were 0.898 and 0.823, respectively. After performing 100 iterations of 10-fold cross-validation, the goodness of fit (R²), area under the curve (AUC), Brier score, and maximum and minimum deviations from the ideal model (Emax and Eavg) all indicated that the nomogram exhibited good performance.

conclusionsThe nomogram developed using CTCs and FAR enhances the early diagnosis of OPM and supports the formulation of personalized treatment plans for patients.

Indexed as

Advanced gastric cancerCirculating tumor cells countsFAROccult peritoneal metastasis

Identifiers

PMID42251241
PMCPMC13462019

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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.