ArticleGigaScience2024
Proteome-wide association study and functional validation identify novel protein markers for pancreatic ductal adenocarcinoma.
Article in GigaScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed, 5 citations in OpenAlex.
- Nonlinear Modeling Reveals Novel Associations Between Genetically Predicted Protein Levels and Pancreatic Cancer Risk.Molecular carcinogenesis · 2026Article
- Decoding Complex Traits in Goats Through Genome-Wide Association Studies: Progress, Challenges, and Perspectives.International journal of molecular sciences · 2026Review
- Mediterranean diet adherence is associated with antiviral, neuroimmune, and cardiometabolic proteomic profiles in people with HIV.Frontiers in nutrition · 2026Article
- Bioinformatics Research at University of Hawai'i: an Overview and Undergraduate Student Perspective.Hawai'i journal of health & social welfare · 2026Article
- Proteome-wide association study of prostate cancer risk across populations.Nature communications · 2025Article
- Unveiling CTRB2, RSPO3, KLOTB, and ROR1 as obesity-pancreatic disease association proteins: a comprehensive Mendelian randomization study.Gastroenterology report · 2025Article
- Proteome-wide association study and functional validation identify novel protein markers for pancreatic ductal adenocarcinoma.GigaScience · 2024Article
Corrections and comments
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Authors and funding
20 authors at 8 institutions in 3 countries.
Funding
Abstract
Pancreatic ductal adenocarcinoma (PDAC) remains a lethal malignancy, largely due to the paucity of reliable biomarkers for early detection and therapeutic targeting. Existing blood protein biomarkers for PDAC often suffer from replicability issues, arising from inherent limitations such as unmeasured confounding factors in conventional epidemiologic study designs. To circumvent these limitations, we use genetic instruments to identify proteins with genetically predicted levels to be associated with PDAC risk. Leveraging genome and plasma proteome data from the INTERVAL study, we established and validated models to predict protein levels using genetic variants. By examining 8,275 PDAC cases and 6,723 controls, we identified 40 associated proteins, of which 16 are novel. Functionally validating these candidates by focusing on 2 selected novel protein-encoding genes, GOLM1 and B4GALT1, we demonstrated their pivotal roles in driving PDAC cell proliferation, migration, and invasion. Furthermore, we also identified potential drug repurposing opportunities for treating PDAC. SIGNIFICANCE: PDAC is a notoriously difficult-to-treat malignancy, and our limited understanding of causal protein markers hampers progress in developing effective early detection strategies and treatments. Our study identifies novel causal proteins using genetic instruments and subsequently functionally validates selected novel proteins. This dual approach enhances our understanding of PDAC etiology and potentially opens new avenues for therapeutic interventions.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.