Evidence map›Paper›PMID 39833419›Full record

ArticleJournal of gastrointestinal cancer2025

Identification of Metabolic Characteristic-Pancreatic Ductal Adenocarcinoma Associations Using Mendelian Randomization and Metabolomics.

Yaoxian Xiang, Chan Zhang, Jing Wang, Yurong Cheng, Kangjie Wang, Li Wang, Yingying Tong, Dong Yan

Abstract read
In one paragraph

Article in Journal of gastrointestinal cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Review
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

8 authors.

Yaoxian Xiang *Department of Oncology, Beijing Luhe Hospital Affiliated to Capital Medical University, Beijing, 101149, China.
Chan Zhang *Department of Oncology, Beijing Luhe Hospital Affiliated to Capital Medical University, Beijing, 101149, China.
Jing WangDepartment of Oncology, Beijing Luhe Hospital Affiliated to Capital Medical University, Beijing, 101149, China.
Yurong ChengDepartment of Oncology, Beijing Luhe Hospital Affiliated to Capital Medical University, Beijing, 101149, China.
Kangjie WangDepartment of Oncology, Beijing Luhe Hospital Affiliated to Capital Medical University, Beijing, 101149, China.
Li WangDepartment of Oncology, Beijing Luhe Hospital Affiliated to Capital Medical University, Beijing, 101149, China.
Yingying TongDepartment of Oncology, Beijing Luhe Hospital Affiliated to Capital Medical University, Beijing, 101149, China.
Dong YanDepartment of Oncology, Beijing Luhe Hospital Affiliated to Capital Medical University, Beijing, 101149, China. yd15yt88@163.com.

Funding

Natural Science Foundation of Beijing Municipality 7222100
6 · The paper itself

Abstract

backgroundMetabolic reprogramming is increasingly recognized as a crucial factor influencing the development, progression, and prognosis of pancreatic ductal adenocarcinoma (PDAC). Despite this, the potential association of specific metabolic characteristics and PDAC remains ambiguous due to the variability introduced by individual patient differences. In this study, we aimed to find out metabolic pathways that may be associated with the overall survival (OS) of PDAC patients.

methodsWe utilized Mendelian randomization (MR) to assess the associations between 1400 metabolites and metabolite ratios and PDAC. We performed functional annotation and pathway enrichment analysis on both significant metabolites and the shared proteins corresponding to the significant metabolite ratios. Additionally, we analyzed peripheral blood metabolites from 32 PDAC patients to correlate metabolites with clinicopathological features and OS. Functional enrichment analysis was also conducted on the significant metabolites.

resultsOur MR analysis revealed 55 metabolites/metabolite ratios associated with PDAC. Among the top 20 enriched metabolic pathways involving proteins related to significant metabolite ratios, seven were associated with amino acid metabolism, three with carbohydrate metabolism, and two with lipid metabolism. Serum metabolomics of PDAC patients highlighted significant upregulation in pathways related to primary bile acid biosynthesis, as well as taurine and hypotaurine metabolism, which correlated negatively with OS. Conversely, pathways involved in arginine biosynthesis, arginine and proline metabolism, and aminoacyl-tRNA biosynthesis were notably downregulated and positively associated with OS. Both upregulated and downregulated differential metabolites were notably enriched in the pyrimidine metabolism pathway, which was linked to poorer OS. These associations were corroborated by MR analysis.

conclusionThe study provides valuable insights into the metabolic characteristics associated with PDAC, offering a reference point for improving diagnosis and treatment for PDAC.

Indexed as

Biomarkers, TumorCarcinoma, Pancreatic DuctalMetabolomicsPancreatic NeoplasmsAgedFemaleHumansMaleMendelian Randomization AnalysisMetabolic Networks and PathwaysMiddle AgedPrognosisBiomarkers, TumorAssociationMendelian randomization(MR)Metabolic characteristicsOverall survival (OS)Pancreatic ductal adenocarcinoma (PDAC)

Identifiers

PMID39833419
PMCPMC11753325

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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.