Work

136eP Artificial intelligence–driven nomogram integrating hematological indices and clinical features for predicting distant metastasis in gastric cancer

Year: 2026

Type: article

Abstract: Gastric cancer (GC) remains a major global malignancy with a poor prognosis, largely due to late-stage presentation. Early identification of distant metastasis (DM) is therefore crucial. Given the recognized role of systemic inflammation in tumor progression, this study aimed to develop an interpretable DM prediction model using clinicopathological features and inflammatory indices, including the Neutrophil-to-Lymphocyte Ratio (NLR) and Platelet-to-Lymphocyte Ratio (PLR).

Source: ESMO Open

DOI: 10.1016/j.esmoop.2026.106278

Authors: N. Tran, D.N.L. Tran, Q. Nguyen Hoang

Institution: University of Medicine and Pharmacy at Ho Chi Minh City

Language: English

Topic: Inflammatory Biomarkers in Disease Prognosis

Subfield: Oncology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $3,910