Evidence map›Paper›PMID 38608280›Full record

ArticleGigaScience2024

Proteome-wide association study and functional validation identify novel protein markers for pancreatic ductal adenocarcinoma.

Jingjing Zhu, Ke Wu, Shuai Liu, Alexandra Masca, Hua Zhong, Tai Yang, Dalia H Ghoneim, Praveen Surendran, Tanxin Liu, Qizhi Yao and 10 more

Open access · goldAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 5 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors at 8 institutions in 3 countries.

Jingjing ZhuDepartment of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawai'i at Mānoa, Honolulu, HI 96813, USA.
Ke WuDivision 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.
Shuai LiuCancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawai'i Cancer Center, University of Hawai'i at Mānoa, Honolulu, HI 96813, USA.
Alexandra MascaCancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawai'i Cancer Center, University of Hawai'i at Mānoa, Honolulu, HI 96813, USA.
Hua ZhongCancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawai'i Cancer Center, University of Hawai'i at Mānoa, Honolulu, HI 96813, USA.
Tai YangDepartment of Biostatistics, University of Michigan-Ann Arbor, Ann Arbor, MI 48109, USA.
Dalia H GhoneimCancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawai'i Cancer Center, University of Hawai'i at Mānoa, Honolulu, HI 96813, USA.
Praveen SurendranMRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB2 0SR, UK.
Tanxin LiuDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA.
Qizhi YaoDivision of Surgical Oncology, Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, TX 77030, USA.
Tao LiuBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA.
Sarah FahleMRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB2 0SR, UK.
Adam ButterworthMRC/BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB2 0SR, UK.
Md Ashad AlamTulane Center for Biomedical Informatics and Genomics, Division of Biomedical Informatics and Genomics, Deming Department of Medicine, Tulane University, New Orleans, LA 70112, USA.
Jaydutt V VadgamaDivision 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.
Youping DengDepartment of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawai'i at Mānoa, Honolulu, HI 96813, USA.ORCID 0000-0002-5951-8213
Hong-Wen DengTulane Center for Biomedical Informatics and Genomics, Division of Biomedical Informatics and Genomics, Deming Department of Medicine, Tulane University, New Orleans, LA 70112, USA.ORCID 0000-0002-0387-8818
Chong WuDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Yong WuDivision 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.
Lang WuCancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawai'i Cancer Center, University of Hawai'i at Mānoa, Honolulu, HI 96813, USA.ORCID 0000-0001-9938-3627
University of Hawaiʻi at Mānoa · USCharles R. Drew University of Medicine and Science · USUniversity of Cambridge · GBPacific Northwest National Laboratory · USTulane University · USMichael E. DeBakey VA Medical Center · USThe University of Texas MD Anderson Cancer Center · USUniversity of Michigan · US

Funding

UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
UH Hilo COP A&RP20GM103466 · NIGMS · UNIVERSITY OF HAWAII AT MANOA · PI Peter R Hoffmann · 2012 to 2026
$60.3M
Workshop for Junior Biostatisticians in Health ResearchU54MD007598 · NIMHD · CHARLES R. DREW UNIVERSITY OF MED & SCI · PI Yanyuan Wu · 2012 to 2026
$60.0M
The Role of gp120 on Cardiovascular Disease in People Living with HIVU54MD007601 · NIMHD · UNIVERSITY OF HAWAII AT MANOA · PI Gehan Devendra · 2017 to 2026
$59.5M
UCLA Clinical and Translational Science InstituteUL1TR000124 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2012 to 2015
$57.0M
Pacific Center for Genome ResearchU54HG013243 · NHGRI · UNIVERSITY OF HAWAII AT MANOA · PI Youping Deng · 2023 to 2026
$10.8M
Validation and Fine-Scale Mapping of Pancreatic Cancer Susceptibility Loci (Study)R01CA154823 · NCI · JOHNS HOPKINS UNIVERSITY · PI KLEIN, ALISON P · 2011 to 2020
$5.7M
Uncovering causal protein markers to improve prostate cancer etiology understanding and risk prediction in Africans and EuropeansR01CA263494 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI Chong Wu, Lang Wu · 2022 to 2026
$3.5M
The Hawaii Advanced Training in Artificial Intelligence for Precision Nutrition Science Research (AIPrN)T32DK137523 · NIDDK · UNIVERSITY OF HAWAII AT MANOA · PI Youping Deng, RACHEL NOVOTNY · 2023 to 2026
$1.7M
A novel metabolic reprograming strategy for the treatment of diabetes-associated breast cancerSC1GM135050 · NIGMS · CHARLES R. DREW UNIVERSITY OF MED & SCI · PI WU, YONG · 2020 to 2023
$1.4M
Mechanisms behind hyperglycemia-associated breast cancer risk and progressionSC1CA200517 · NCI · CHARLES R. DREW UNIVERSITY OF MED & SCI · PI WU, YONG · 2015 to 2018
$1.4M
Cohort Study of Biochemical and Genetic Risk Factors for Pancreatic CancerK07CA140790 · NCI · DANA-FARBER CANCER INST · PI WOLPIN, BRIAN MATTHEW · 2009 to 2013
$890k
British Heart Foundation RG/13/13/30194British Heart Foundation RG/18/13/33946British Heart Foundation SP/09/002CSRD VA I01 CX001822Howard Hughes Medical InstituteMedical Research Council UK MR/L003120/1NCATS NIH HHS UL1 TR000124NCATS NIH HHS UL1 TR001881NCI NIH HHS K07 CA140790NCI NIH HHS R00 CA218892NCI NIH HHS R01 CA154823NCI NIH HHS R01 CA263494NCI NIH HHS R01CA263494NCI NIH HHS SC1 CA200517NHGRI NIH HHSNHGRI NIH HHS U54 HG013243NIDDK NIH HHS T32 DK137523NIGMS NIH HHS SC1 GM135050NIMHD NIH HHS U54HG013243NIMHD NIH HHS U54 MD007598
6 · The paper itself

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.

Indexed as

Carcinoma, Pancreatic DuctalPancreatic NeoplasmsBiomarkersGlycosyltransferasesHumansMembrane ProteinsProteomeBiomarkersGlycosyltransferasesGOLM1 protein, humanMembrane ProteinsProteomebiomarkersgeneticspancreatic cancerproteinrisk

Identifiers

PMID38608280
PMCPMC11010651
OpenAlexW4394772118

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Registered trials

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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.