Comprehensive multi omics profiling and Mendelian randomization assessment of lipid metabolites in lung cancer prognosis

This study successfully developed robust machine learning-based prognostic models for LUSC with clinical utility for risk stratification and provided evidence that lipid alterations in lung cancer are likely downstream consequences rather than causal drivers of tumorigenesis.

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Publication Details

Journal
Discover Oncology
Published
2026-03-23
DOI
https://doi.org/10.1007/s12672-026-04893-6
Primary Topic
Ferroptosis and cancer prognosis
Type
article
Field-Weighted Citation Impact
0.00
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article

Comprehensive multi omics profiling and Mendelian randomization assessment of lipid metabolites in lung cancer prognosis

Jingjing Li, Zhiwei Xu
Discover Oncology
Ferroptosis and cancer prognosis
article

Comprehensive multi omics profiling and Mendelian randomization assessment of lipid metabolites in lung cancer prognosis

Jingjing Li, Zhiwei Xu
article en

Abstract

This study successfully developed robust machine learning-based prognostic models for LUSC with clinical utility for risk stratification and provided evidence that lipid alterations in lung cancer are likely downstream consequences rather than causal drivers of tumorigenesis.

Discover Oncology
Wenzhou Medical University (CN), Wenzhou Hospital of Traditional Chinese Medicine (CN)
Good health and well-being
Openalex Percentile: Top 12%
Ferroptosis and cancer prognosis
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