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Identification of biomarkers and potential therapeutic targets for pancreatic cancer by proteomic analysis in two prospective cohorts.
- Source :
-
Cell genomics [Cell Genom] 2024 Jun 12; Vol. 4 (6), pp. 100561. Date of Electronic Publication: 2024 May 15. - Publication Year :
- 2024
-
Abstract
- Pancreatic cancer (PC) is the deadliest malignancy due to late diagnosis. Aberrant alterations in the blood proteome might serve as biomarkers to facilitate early detection of PC. We designed a nested case-control study of incident PC based on a prospective cohort of 38,295 elderly Chinese participants with ∼5.7 years' follow-up. Forty matched case-control pairs passed the quality controls for the proximity extension assay of 1,463 serum proteins. With a lenient threshold of p < 0.005, we discovered regenerating family member 1A (REG1A), REG1B, tumor necrosis factor (TNF), and phospholipase A2 group IB (PLA2G1B) in association with incident PC, among which the two REG1 proteins were replicated using the UK Biobank Pharma Proteomics Project, with effect sizes increasing steadily as diagnosis time approaches the baseline. Mendelian randomization analysis further supported the potential causal effects of REG1 proteins on PC. Taken together, circulating REG1A and REG1B are promising biomarkers and potential therapeutic targets for the early detection and prevention of PC.<br />Competing Interests: Declaration of interests The authors declare no competing interests.<br /> (Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.)
- Subjects :
- Humans
Prospective Studies
Male
Female
Aged
Case-Control Studies
Middle Aged
Pancreatitis-Associated Proteins metabolism
Pancreatitis-Associated Proteins genetics
Pancreatic Neoplasms blood
Pancreatic Neoplasms genetics
Pancreatic Neoplasms diagnosis
Biomarkers, Tumor blood
Biomarkers, Tumor genetics
Biomarkers, Tumor metabolism
Proteomics methods
Lithostathine genetics
Lithostathine blood
Lithostathine metabolism
Subjects
Details
- Language :
- English
- ISSN :
- 2666-979X
- Volume :
- 4
- Issue :
- 6
- Database :
- MEDLINE
- Journal :
- Cell genomics
- Publication Type :
- Academic Journal
- Accession number :
- 38754433
- Full Text :
- https://doi.org/10.1016/j.xgen.2024.100561