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Article

An integrated multimodal model for early prediction of high-risk recurrence phenotype indicative of poor disease-free survival in stage IA NSCLC: a multicenter study.

Frontiers in immunology - 1 Jan 2026

Lai Linqiang, Wang Yanji, Jiang Jiangle, Yang Dengfa, Wu Jinying, Xie Liangjun, Wu Jiahao, Mao Ruolan, Zhang Dengke, Wang Xiangxue, Ming Wenlong, Tu Jianfei

Abstract excerpt

Objectives: To develop and validate a preoperative multimodal model that predicts a high-risk recurrence phenotype indicative of poor disease-free survival (DFS), in order to stratify patients with stage IA non-small cell lung cancer (NSCLC). Materials and methods: This retrospective multicenter study enrolled 342 stage IA NSCLC patients from three independent centers. The high-risk recurrence phenotype...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 42625643
DOI: 10.3389/fimmu.2026.1915946
PMCID: PMC13489873

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

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