Plasma proteometabolome in lung cancer: exploring biomarkers through bidirectional Mendelian randomization and colocalization analysis
- Bo Dong 1, Mengyao Wang 1, Kaixiu Li 1, Zuwei Li 1, Lunxu Liu 1, Shensi Shen 1
- Bo Dong 1, Mengyao Wang 1, Kaixiu Li 1
- 1Department of Thoracic Surgery and Institute of Thoracic Oncology, National Clinical Research Centre for Geriatrics, West China Hospital, Sichuan University, Chengdu 610041, China.
- 0Department of Thoracic Surgery and Institute of Thoracic Oncology, National Clinical Research Centre for Geriatrics, West China Hospital, Sichuan University, Chengdu 610041, China.
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View abstract on PubMed
Summary
This summary is machine-generated.This study identifies novel plasma protein and metabolite biomarkers for lung cancer detection. These non-invasive markers could improve early diagnosis and management for at-risk individuals.
Area Of Science
- Genetics
- Oncology
- Biomarker Discovery
Background
- Lung cancer screening involves invasive biopsies with significant complications.
- Non-invasive diagnostic biomarkers are crucial for improving lung cancer management in at-risk populations.
Purpose Of The Study
- To investigate plasma proteome and metabolome for novel lung cancer biomarkers using Mendelian Randomization (MR).
- To identify potential non-invasive diagnostic and etiological insights for lung cancer subtypes.
Main Methods
- Employed bidirectional Mendelian Randomization (MR) and co-localization analyses.
- Investigated associations between plasma proteins (SFTPB, KDELC2, TCL1A, CNTN1) and metabolites (theobromine, paraxanthine, caffeine, arachidonate) with lung cancer subtypes.
- Utilized single-cell sequencing data of normal lung tissue to explore SFTPB's role.
Main Results
- Identified inverse associations of SFTPB and KDELC2 with lung adenocarcinoma (LUAD).
- Found positive associations of TCL1A with lung squamous cell carcinoma (LUSC) and CNTN1 with small cell lung cancer (SCLC).
- Revealed significant correlations of specific metabolites and their ratios with LUAD and LUSC, including negative correlations for theobromine and paraxanthine.
Conclusions
- Novel plasma protein and metabolite biomarkers for lung cancer (LUAD, LUSC, SCLC) have been identified.
- Findings suggest potential for developing non-invasive diagnostic tools and offer insights into lung cancer etiology.
- The study highlights SFTPB's potential role in lung carcinogenesis.
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