Evidence map›Paper›PMID 42597715›Full record

ArticleOncology letters2026

Role of lipid-associated fibroblasts and their signature genes FABP4, CD36 and ABCA8 in gastric cancer progression.

Junqun Liao, Lin Wu, Li Zhou, Qiao Ling, Piyun Zhang

Abstract read
In one paragraph

Article in Oncology letters, 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

5 authors.

Junqun LiaoDepartment of Laboratory Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, P.R. China.
Lin WuDepartment of Hepatobiliary Surgery, Chongqing Emergency Medical Center, Chongqing University Central Hospital, School of Medicine, Chongqing University, Chongqing 400014, P.R. China.
Li ZhouDepartment of Gastroenterology, Chongqing Emergency Medical Center, Chongqing University Central Hospital, School of Medicine, Chongqing University, Chongqing 400014, P.R. China.
Qiao LingDepartment of General Practice, Chongqing Dadukou District Maternal and Child Health Hospital, Chongqing 400037, P.R. China.
Piyun ZhangDepartment of Gastroenterology, Chongqing Emergency Medical Center, Chongqing University Central Hospital, School of Medicine, Chongqing University, Chongqing 400014, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer-associated fibroblasts (CAFs) serve key roles in gastric cancer progression, however, the role of specific CAF subsets, particularly lipid-rich CAFs (lipo-CAFs), remains unclear. Therefore, the present study aimed to investigate whether lipo-CAFs are associated with gastric cancer progression. A total of 28 lipo-CAF-associated genes was used to classify patients with gastric cancer in The Cancer Genome Atlas Stomach Adenocarcinoma dataset. Differential expression analysis was subsequently performed to identify biological processes and pathways associated with the lipo-CAF phenotype. Validation analyses were conducted using the GSE84437 dataset and expression and survival analyses of the signature genes were performed using data from the Human Protein Atlas database and Tumor-Immune System Interaction Database. Finally, NIH-3T3 cells were transduced with lentiviral vectors to knock down the candidate genes and were co-cultured with mouse gastric cancer MFC cells to evaluate the fibroblast-mediated effects of these genes on gastric cancer cell behavior

Indexed as

cancer associated fibroblastgastric cancerlipid metabolismprognostic

Identifiers

PMID42597715
PMCPMC13470306

What OpenQuestion holds

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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.