Evidence map›Paper›PMID 42518818›Full record

ArticleFrontiers in oncology2026

From proteome-wide Mendelian randomization and multi-omics integration to functional validation: TGFB3 as a prioritized candidate in gastric adenocarcinoma.

Luming Zhao, Chenxi Mao, Yimeng Xu, Kangjie Zhou, Mingtong Liang, Yiqian Han, Jingzhou Zhang, Yidong Hong, Nan Hu, Fenglei Wu

Abstract read
In one paragraph

Article in Frontiers in oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Luming Zhao *Department of Oncology, The Affiliated Lianyungang Hospital of Xuzhou Medical University/The First People's Hospital of Lianyungang, Lianyungang, China.
Chenxi Mao *Department of Oncology, The Affiliated Lianyungang Hospital of Xuzhou Medical University/The First People's Hospital of Lianyungang, Lianyungang, China.
Yimeng XuLianyungang Clinical College of Nanjing Medical University/The First People's Hospital of Lianyungang, Lianyungang, China.
Kangjie ZhouLianyungang Clinical College of Nanjing Medical University/The First People's Hospital of Lianyungang, Lianyungang, China.
Mingtong LiangLianyungang Clinical College of Nanjing Medical University/The First People's Hospital of Lianyungang, Lianyungang, China.
Yiqian HanLianyungang Clinical College of Nanjing Medical University/The First People's Hospital of Lianyungang, Lianyungang, China.
Jingzhou ZhangDepartment of Oncology, The Affiliated Lianyungang Hospital of Xuzhou Medical University/The First People's Hospital of Lianyungang, Lianyungang, China.
Yidong HongDepartment of Oncology, The Affiliated Lianyungang Hospital of Xuzhou Medical University/The First People's Hospital of Lianyungang, Lianyungang, China.
Nan HuDepartment of Oncology, The Affiliated Lianyungang Hospital of Xuzhou Medical University/The First People's Hospital of Lianyungang, Lianyungang, China.
Fenglei WuDepartment of Oncology, The Affiliated Lianyungang Hospital of Xuzhou Medical University/The First People's Hospital of Lianyungang, Lianyungang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Gastric adenocarcinoma lacks robust circulating biomarkers and tractable targets. We assessed whether genetically predicted plasma protein levels influence disease risk and sought druggable candidates using a proteome-wide Mendelian randomization (MR) framework. Methods: We integrated deCODE plasma protein quantitative trait loci (pQTLs) with gastric cancer GWAS in a proteome-wide two-sample MR framework to identify circulating proteins causally associated with gastric cancer. Protein-protein interaction topology was used to prioritize eight hub proteins, which were further evaluated in an eight-gene artificial neural network (ANN) classifier. Single-cell and spatial transcriptomics, together with multiplex immunofluorescence, mapped hub-gene expression across tumor, stromal and immune compartments. Finally, we focused on TGFB3 as a genetically and spatially prioritized target, combining in silico ligand screening with Results: Proteome-wide MR highlighted 29 circulating proteins with putative causal effects on gastric cancer, of which eight (ERBB3, LGR4, BMP4, CD248, MGP, TGFB3, GRP and ETS2) occupied central positions in the interaction network. The corresponding eight-gene ANN showed robust discrimination between gastric cancer and non-tumor tissue across multiple cohorts and improved diagnostic performance beyond clinical variables. Single-cell, spatial and multiplex immunofluorescence analyses localized these hubs to epithelial, fibroblast and endothelial compartments, with TGFB3 enriched at tumor-stroma interfaces and associated with poor survival. Virtual screening nominated TGFB3-binding ligands and proflavine hemisulfate formed a stable complex with TGFB3 in silico while attenuating TGFB3-driven proliferation, migration and PI3K-dependent survival signaling in AGS cells. Conclusion: Our proteome-wide MR framework identifies genetically supported circulating proteins that contribute to gastric carcinogenesis and converges on TGFB3 as a tractable stromal signaling axis. Proflavine hemisulfate functions as a mechanistically informative chemical probe of TGFB3-PI3K survival signaling in gastric cancer cells, providing a starting scaffold for future TGFB3-targeted therapeutic strategies.

Indexed as

drug screeninggastric cancerMendelian randomizationplasma proteomicstranscriptome analysis

Identifiers

PMID42518818
PMCPMC13381258

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.