March 16, 2026Open Access

Noninvasive assessment of core metastatic genes in lung adenocarcinoma: development of a predictive model integrating single-cell transcriptomics and radiomics

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Abstract

This study reveals that the synergistic expression pattern of PSMB5, PSMB7 and SLC16A3 is closely associated with lung adenocarcinoma metastasis and poor prognosis, confirming their potential value as prognostic biomarkers and therapeutic targets. The CT radiomics model offers a noninvasive tool for molecular phenotyping, aiding in preoperative precision assessment and advancing noninvasive clinical decision-making for LUAD.

Noninvasive assessment of core metastatic genes in lung adenocarcinoma: development of a predictive model integrating single-cell transcriptomics and radiomics

Key Points

Abstract

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