Evidence map›Paper›PMID 40109873›Full record

ArticleOncology research2025

Dong Jiang, Zhi Qi, Zhiying Xu, Yiran Li

Abstract read
In one paragraph

Article in Oncology research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Oncology research · 2025
    Article
  2. Article
  3. 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

4 authors.

Dong JiangDepartment of Ultrasound, Eastern Hepatobiliary Surgery Hospital, The Third Affiliated Hospital of Naval Medical University, Shanghai, 200433, China.
Zhi QiDepartment of Neurology, Eastern Hepatobiliary Surgery Hospital, The Third Affiliated Hospital of Naval Medical University, Shanghai, 200433, China.
Zhiying XuDepartment of Hepatic Surgery IV, Shanghai Eastern Hepatobiliary Surgery Hospital, Third Affiliated Hospital of Naval Medical University, Shanghai, 200433, China.
Yiran LiDepartment of Ultrasound, Eastern Hepatobiliary Surgery Hospital, The Third Affiliated Hospital of Naval Medical University, Shanghai, 200433, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hepatocellular carcinoma (HCC) is a prevalent liver malignancy. This study examined the roles of transforming growth factor beta ( Methods: Key modules and prognostic genes were identified by analyzing the GSE101685 dataset by weighted gene co-expression network analysis (WGCNA) and Least absolute shrinkage and selection operator (LASSO) Cox regression. The expression levels of Results: In this study, WGCNA identified the turquoise module as significantly associated with HCC, containing 452 DEGs. LASSO Cox regression analysis revealed 9 key prognostic genes, with Conclusion: The tumor suppressor function of

Indexed as

Carcinoma, HepatocellularEpithelial-Mesenchymal TransitionLiver NeoplasmsTransforming Growth Factor betaAnimalsBiomarkers, TumorCell Line, TumorCell MovementCell ProliferationDisease ProgressionFemaleGene Expression Regulation, NeoplasticHumansMaleMiceMice, NudeBiomarkers, TumorTransforming Growth Factor betaCytochrome b5 domain containing 2 (CYB5D2)Epithelial-mesenchymal transition (EMT)Hepatocellular carcinoma (HCC)Malignant progressionTransforming growth factor beta (TGF-β)

Identifiers

PMID40109873
PMCPMC11915040

What OpenQuestion holds

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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.