<link rel="stylesheet" href="styles.f3b1fba60ec7970c.css">

A Composite Histopathologic Invasion Score Predicts Lymph Node Metastasis in Gastric Cancer

dc.contributor.authorKarci, Ebru
dc.contributor.authorYoushanlui, Mahya Ahmadpour
dc.contributor.authorOzden, Ferhat
dc.contributor.authorAcikgoz, Ozgur
dc.contributor.authorOlmez, Omer Fatih
dc.contributor.authorYildiz, Ozcan
dc.contributor.authorUzun, Hafize
dc.contributor.authorBilici, Ahmet
dc.date.accessioned2026-11-05T11:00:39Z
dc.date.issued2026
dc.description.abstractBackground: Lymph node metastasis (LNM) is a major determinant of prognosis in gastric adenocarcinoma. Although lymphovascular invasion (LVI) and perineural invasion (PNI) are established markers of aggressive tumor behavior, their combined association with nodal dissemination has not been systematically evaluated. This study investigated the relationship between invasive histopathologic features and LNM and developed a composite invasion score. Methods: This retrospective study included 395 patients with gastric adenocarcinoma. Clinicopathological analyses involving LNM were performed in the surgical resection cohort. A composite invasion score (0-2) was generated based on the presence of LVI and PNI. Associations with LNM, metastatic lymph node burden, and lymph node ratio (LNR) were evaluated using non-parametric tests and multivariable logistic regression. Predictive performance was assessed using receiver operating characteristic (ROC) analysis. An exploratory external transcriptomic analysis was performed using the GSE15459 dataset. Results: Both LVI and PNI were significantly associated with LNM (both p < 0.001). The composite invasion score showed a stepwise association with nodal dissemination, with median metastatic lymph node counts increasing from 0 in score-0 tumors to 3.5 in score-1 and 9 in score-2 tumors (p < 0.001). After adjustment for pathological T stage, histological grade, Lauren classification, age, and tumor location, the composite invasion score remained an independent predictor of LNM (OR = 4.53, 95% CI: 1.81-13.00, p = 0.002). LNR also increased significantly across score categories (p < 0.001). The composite invasion score demonstrated good discriminatory performance for LNM (AUC = 0.848, 95% CI: 0.773-0.923). The exploratory transcriptomic analysis demonstrated significant upregulation of MMP11, MMP14, and FAP in advanced-stage tumors, consistent with increased extracellular matrix remodeling and stromal activation. Conclusions: A simple composite invasion score integrating LVI and PNI is independently associated with lymph node metastasis and metastatic burden in gastric adenocarcinoma. The accompanying exploratory transcriptomic analysis provides biological context for these clinicopathological findings by demonstrating stage-associated extracellular matrix remodeling rather than direct molecular validation of the proposed score. These findings support the potential utility of the composite invasion score as a postoperative pathology-derived risk stratification tool.
dc.description.issue17
dc.description.pages6509
dc.description.volume15
dc.identifier.doi10.3390/jcm15176509
dc.identifier.issn2077-0383
dc.identifier.urihttps://doi.org/10.3390/jcm15176509
dc.identifier.urihttps://openaccess.acibadem.edu.tr/handle/11443/10512
dc.identifier.wosWOS:001874291600001
dc.language.isoen
dc.publisherMDPI
dc.relation.hasversion10.3390/jcm15176509
dc.relation.ispartofJOURNAL OF CLINICAL MEDICINE
dc.subjectgastric adenocarcinoma
dc.subjectlymph node metastasis
dc.subjectlymphovascular invasion
dc.subjectperineural invasion
dc.subjectextracellular matrix remodeling
dc.subjectMMP11
dc.subjectFAP
dc.subjectMedicine, General & Internal
dc.subjectGeneral & Internal Medicine
dc.titleA Composite Histopathologic Invasion Score Predicts Lymph Node Metastasis in Gastric Cancer
dc.typeArticle
oaire.citation.editionScience Citation Index Expanded (SCI-EXPANDED)
oaire.citation.issue17
oaire.citation.volume15
person.identifier.orcid0000-0002-0443-6966
person.identifier.ridHZK-7453-2023

Files

Collections