Your browser doesn't support javascript.
loading
Proteome-wide association study and functional validation identify novel protein markers for pancreatic ductal adenocarcinoma.
Zhu, Jingjing; Wu, Ke; Liu, Shuai; Masca, Alexandra; Zhong, Hua; Yang, Tai; Ghoneim, Dalia H; Surendran, Praveen; Liu, Tanxin; Yao, Qizhi; Liu, Tao; Fahle, Sarah; Butterworth, Adam; Alam, Md Ashad; Vadgama, Jaydutt V; Deng, Youping; Deng, Hong-Wen; Wu, Chong; Wu, Yong; Wu, Lang.
Afiliação
  • Zhu J; Department of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawai'i at Manoa, Honolulu, HI 96813, USA.
  • Wu K; Division of Cancer Research and Training, Department of Internal Medicine, Charles R. Drew University of Medicine and Science, David Geffen UCLA School of Medicine and UCLA Jonsson Comprehensive Cancer Center, Los Angeles, CA 90095, USA.
  • Liu S; Cancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawai'i Cancer Center, University of Hawai'i at Manoa, Honolulu, HI 96813, USA.
  • Masca A; Cancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawai'i Cancer Center, University of Hawai'i at Manoa, Honolulu, HI 96813, USA.
  • Zhong H; Cancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawai'i Cancer Center, University of Hawai'i at Manoa, Honolulu, HI 96813, USA.
  • Yang T; Department of Biostatistics, University of Michigan-Ann Arbor, Ann Arbor, MI 48109, USA.
  • Ghoneim DH; Cancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawai'i Cancer Center, University of Hawai'i at Manoa, Honolulu, HI 96813, USA.
  • Surendran P; MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB2 0SR, UK.
  • Liu T; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA.
  • Yao Q; Division of Surgical Oncology, Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, TX 77030, USA.
  • Liu T; Center for Translational Research on Inflammatory Diseases (CTRID), Michael E. DeBakey VA Medical Center, Houston, TX 77030, USA.
  • Fahle S; Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA.
  • Butterworth A; MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB2 0SR, UK.
  • Alam MA; MRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB2 0SR, UK.
  • Vadgama JV; NIHR Blood and Transplant Research Unit in Donor Health and Genomics, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB2 0SR, UK.
  • Deng Y; Tulane Center for Biomedical Informatics and Genomics, Division of Biomedical Informatics and Genomics, Deming Department of Medicine, Tulane University, New Orleans, LA 70112, USA.
  • Deng HW; Division of Cancer Research and Training, Department of Internal Medicine, Charles R. Drew University of Medicine and Science, David Geffen UCLA School of Medicine and UCLA Jonsson Comprehensive Cancer Center, Los Angeles, CA 90095, USA.
  • Wu C; Department of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawai'i at Manoa, Honolulu, HI 96813, USA.
  • Wu Y; Tulane Center for Biomedical Informatics and Genomics, Division of Biomedical Informatics and Genomics, Deming Department of Medicine, Tulane University, New Orleans, LA 70112, USA.
  • Wu L; Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Gigascience ; 132024 01 02.
Article em En | MEDLINE | ID: mdl-38608280
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.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Pancreáticas / Carcinoma Ductal Pancreático Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Pancreáticas / Carcinoma Ductal Pancreático Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article