Revealing Causal Protein Biomarkers and Potential Therapeutic Targets for Histologic‐Specific Lung Cancer

Considering the distinct etiological pathways and molecular characteristics of different lung cancer subtypes, it is crucial to develop subtype-specific prevention strategies and therapeutic targets. This study aimed to identify protein biomarkers and potential therapeutic targets for specific subtypes of lung cancer by integrating population-based observational studies and Mendelian randomisation (MR) analyses. The cohort study was conducted in the UK Biobank, including about 47,000 participants whose blood samples were measured for 2,923 unique proteins and who were followed for the development of lung cancer. Two-sample MR was performed leveraging publicly available data from genome-wide association studies (GWAS) and protein quantitative trait loci (pQTL). Proteins were prioritised based on consistent associations across logistic regression, MR, transcriptomic validation and sensitivity analyses. Tier 1 proteins passed all evaluations, including GP1BA (squamous cell carcinoma) and ACADSB (small cell carcinoma). Tier 2 proteins, supported by transcriptomic evidence but not sensitivity analyses, included AGRN, ITGB2, SEPTIN3 (adenocarcinoma) and DPP10 (squamous cell carcinoma). Tier 3 proteins, supported by logistic regression and MR only, included CD5L, GNPDA, ACAN, C7, DMP1, HEPH, CEACAM6, COX6B1, CPXM2 and IL12RB2. Druggability evaluation suggests that existing drugs targeting ITGB2, GP1BA, ACADSB and COX6B1 could potentially be repurposed for the treatment of specific lung cancer subtypes.

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Publication Details

Journal
Journal of Cellular and Molecular Medicine
Published
2025-12-01
DOI
https://doi.org/10.1111/jcmm.70866
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00

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article

Revealing Causal Protein Biomarkers and Potential Therapeutic Targets for Histologic‐Specific Lung Cancer

Deqiang Zheng, Jiayan Li, Changwei Li, Jianguang Ji et al.
Journal of Cellular and Molecular Medicine
Genetic Associations and Epidemiology
article

Revealing Causal Protein Biomarkers and Potential Therapeutic Targets for Histologic‐Specific Lung Cancer

Deqiang Zheng, Jiayan Li, Changwei Li, Jianguang Ji, Lijuan Wu, Ning Li, Xiao Wang, Xiaoyu Zhang, Yan He, Wen Sun, Li Zhang, Jingyang Liu
article en

Abstract

Considering the distinct etiological pathways and molecular characteristics of different lung cancer subtypes, it is crucial to develop subtype-specific prevention strategies and therapeutic targets. This study aimed to identify protein biomarkers and potential therapeutic targets for specific subtypes of lung cancer by integrating population-based observational studies and Mendelian randomisation (MR) analyses. The cohort study was conducted in the UK Biobank, including about 47,000 participants whose blood samples were measured for 2,923 unique proteins and who were followed for the development of lung cancer. Two-sample MR was performed leveraging publicly available data from genome-wide association studies (GWAS) and protein quantitative trait loci (pQTL). Proteins were prioritised based on consistent associations across logistic regression, MR, transcriptomic validation and sensitivity analyses. Tier 1 proteins passed all evaluations, including GP1BA (squamous cell carcinoma) and ACADSB (small cell carcinoma). Tier 2 proteins, supported by transcriptomic evidence but not sensitivity analyses, included AGRN, ITGB2, SEPTIN3 (adenocarcinoma) and DPP10 (squamous cell carcinoma). Tier 3 proteins, supported by logistic regression and MR only, included CD5L, GNPDA, ACAN, C7, DMP1, HEPH, CEACAM6, COX6B1, CPXM2 and IL12RB2. Druggability evaluation suggests that existing drugs targeting ITGB2, GP1BA, ACADSB and COX6B1 could potentially be repurposed for the treatment of specific lung cancer subtypes.

Journal of Cellular and Molecular MedicineVol. 29(23)
Tulane University (US), Malmö University (SE), Capital Medical University (CN), Chinese Academy of Medical Sciences & Peking Union Medical College (CN), University of Macau (MO), Skåne University Hospital (SE), Beijing Tsinghua Chang Gung Hospital (CN), Beijing Center for Disease Prevention and Control (CN)
United Mitochondrial Disease Foundation, Universidade de Macau, Beijing Municipal Health Commission
Openalex Percentile: Top 60%
Genetic Associations and Epidemiology
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