Evidence map›Paper›PMID 42630560›Full record

ArticleAmerican journal of translational research2026

A risk prediction model for metachronous peritoneal metastasis after radical gastrectomy in gastric cancer based on peripheral blood inflammatory markers and tumor pathological features.

Li Dong, Ruihao Zhang, Chenchang Xu, Lei Chen

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Article in American journal of translational research, 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 authors.

Li DongDepartments of Intervention, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital Suzhou 215001, Jiangsu, China.
Ruihao ZhangDepartments of Medical Oncology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital Suzhou 215001, Jiangsu, China.
Chenchang XuDepartments of Intervention, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital Suzhou 215001, Jiangsu, China.
Lei ChenDepartments of Intervention, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital Suzhou 215001, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo develop a prognostic scoring system for metachronous peritoneal dissemination (MPM) in gastric cancer patients following radical gastrectomy, based on preoperative peripheral blood inflammatory markers and postoperative tumor histological features. METHODOLOGY: A total of 522 gastric cancer patients who underwent radical gastrectomy were retrospectively analyzed, including 364 patients without MPM and 158 patients with MPM. Peripheral blood samples were collected within 7 days before surgery to measure neutrophil and lymphocyte counts, platelets, C-reactive protein (CRP), carcinoembryonic antigen (CEA), carbohydrate antigen 19-9 (CA19-9), and CA125. Four inflammatory indices were calculated: neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), systemic immune-inflammation index (SII), and systemic inflammation response index (SIRI). Histopathological features of the excised tissue were assessed postoperatively.

resultCompared with the non-MPM group, patients in the MPM group exhibited significantly larger tumors, a higher prevalence of diffuse-type Lauren patterns, poorly differentiated histology, deeper tumor invasion, more frequent lymph node metastasis, and elevated rates of perineural and lymphovascular infiltration (all P < 0.05). Neutrophil count, platelet count, CRP, NLR, PLR, SII, SIRI, CEA, CA19-9 and CA125 were all increased, whereas lymphocyte counts were reduced in the MPM group (all P < 0.05). Multivariate logistic regression analysis identified tumor size (OR=1.475), depth of invasion (OR=2.602), lymph node metastasis (OR=3.536), NLR (OR=2.457), PLR (OR=1.009), CA19-9 (OR=1.079), and CA125 (OR=1.156) as independent risk factors for MPM. A combined predictive model incorporating these seven parameters demonstrated an area under the receiver operating characteristic curve (AUC) of 0.952.

conclusionA prognostic model integrating preoperative peripheral blood inflammatory indices and postoperative tumor histopathology can accurately predict the risk of metachronous peritoneal metastases in gastric cancer patients after radical gastrectomy.

Indexed as

Gastric cancerinflammatory markersmetachronous peritoneal metastasispathological featuresprediction model

Identifiers

PMID42630560
PMCPMC13494257

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