Evidence map›Paper›PMID 38858729›Full record

ArticleJournal of translational medicine2024

Integrating plasma protein-centric multi-omics to identify potential therapeutic targets for pancreatic cancer.

Siyu Zhou, Baian Tao, Yujie Guo, Jichun Gu, Hengchao Li, Caifeng Zou, Sichong Tang, Shuheng Jiang, Deliang Fu, Ji Li

Abstract read
In one paragraph

Article in Journal of translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

10 authors.

Siyu Zhou *Department of Pancreatic Surgery, Huashan Hospital, Fudan University, Shanghai, 200040, China.
Baian Tao *Department of Pancreatic Surgery, Huashan Hospital, Fudan University, Shanghai, 200040, China.
Yujie Guo *Department of Pancreatic Surgery, Huashan Hospital, Fudan University, Shanghai, 200040, China.
Jichun GuDepartment of Pancreatic Surgery, Huashan Hospital, Fudan University, Shanghai, 200040, China.
Hengchao LiDepartment of Pancreatic Surgery, Huashan Hospital, Fudan University, Shanghai, 200040, China.
Caifeng ZouDepartment of Pancreatic Surgery, Huashan Hospital, Fudan University, Shanghai, 200040, China.
Sichong TangSchool of Medicine, Fudan University, Shanghai, 200240, China.
Shuheng JiangState Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200240, China. shjiang@shsci.org.
Deliang FuDepartment of Pancreatic Surgery, Huashan Hospital, Fudan University, Shanghai, 200040, China. surgeonfu@163.com.
Ji LiDepartment of Pancreatic Surgery, Huashan Hospital, Fudan University, Shanghai, 200040, China. liji@huashan.org.cn.

Funding

Chinesisch-Deutsche Kooperationsgruppe: Precision Medicine in Pancreatic Cancer GZ1456Science and Technology Innovation Plan Of Shanghai Science and Technology Commission 22511106203
6 · The paper itself

Abstract

backgroundDeciphering the role of plasma proteins in pancreatic cancer (PC) susceptibility can aid in identifying novel targets for diagnosis and treatment.

methodsWe examined the relationship between genetically determined levels of plasma proteins and PC through a systemic proteome-wide Mendelian randomization (MR) analysis utilizing cis-pQTLs from multiple centers. Rigorous sensitivity analyses, colocalization, reverse MR, replications with varying instrumental variable selections and additional datasets, as well as subsequent meta-analysis, were utilized to confirm the robustness of significant findings. The causative effect of corresponding protein-coding genes' expression and their expression pattern in single-cell types were then investigated. Enrichment analysis, between-protein interaction and causation, knock-out mice models, and mediation analysis with established PC risk factors were applied to indicate the pathogenetic pathways. These candidate targets were ultimately prioritized upon druggability and potential side effects predicted by a phenome-wide MR.

resultsTwenty-one PC-related circulating proteins were identified in the exploratory phase with no evidence for horizontal pleiotropy or reverse causation. Of these, 11 were confirmed in a meta-analysis integrating external validations. The causality at a transcription level was repeated for neutrophil elastase, hydroxyacylglutathione hydrolase, lipase member N, protein disulfide-isomerase A5, xyloside xylosyltransferase 1. The carbohydrate sulfotransferase 11 and histo-blood group ABO system transferase exhibited high-support genetic colocalization evidence and were found to affect PC carcinogenesis partially through modulating body mass index and type 2 diabetes, respectively. Approved drugs have been established for eight candidate targets, which could potentially be repurposed for PC therapies. The phenome-wide investigation revealed 12 proteins associated with 51 non-PC traits, and interference on protein disulfide-isomerase A5 and cystatin-D would increase the risk of other malignancies.

conclusionsBy employing comprehensive methodologies, this study demonstrated a genetic predisposition linking 21 circulating proteins to PC risk. Our findings shed new light on the PC etiology and highlighted potential targets as priorities for future efforts in early diagnosis and therapeutic strategies of PC.

Indexed as

Blood ProteinsMendelian Randomization AnalysisPancreatic NeoplasmsAnimalsGene Expression Regulation, NeoplasticGenetic Predisposition to DiseaseGenomicsHumansMolecular Targeted TherapyMultiomicsProteomicsQuantitative Trait LociReproducibility of ResultsBlood ProteinsMendelian randomizationPancreatic cancerPlasma proteomeTherapeutic target

Identifiers

PMID38858729
PMCPMC11165868

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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.