Evidence map›Paper›PMID 40123831›Full record

ArticleMedComm2025

Integrated Analysis of the Anoikis-Related Signature Identifies Rac Family Small GTPase 3 as a Novel Tumor-Promoter Gene in Hepatocellular Carcinoma.

Dong Wu, Ze-Kun Liu, Ying Sun, Chu-Heng Gou, Run-Ze Shang, Meng Lu, Ren-Yu Zhang, Hao-Lin Wei, Can Li, Ying Shi and 5 more

Abstract read
In one paragraph

Article in MedComm, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
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

15 authors.

Dong WuDepartment of Cell Biology National Translational Science Center for Molecular Medicine Fourth Military Medical University Xi'an China.
Ze-Kun LiuDepartment of Cell Biology National Translational Science Center for Molecular Medicine Fourth Military Medical University Xi'an China.
Ying SunDepartment of Cell Biology National Translational Science Center for Molecular Medicine Fourth Military Medical University Xi'an China.
Chu-Heng GouDepartment of Cell Biology National Translational Science Center for Molecular Medicine Fourth Military Medical University Xi'an China.
Run-Ze ShangDepartment of Cell Biology National Translational Science Center for Molecular Medicine Fourth Military Medical University Xi'an China.
Meng LuDepartment of Cell Biology National Translational Science Center for Molecular Medicine Fourth Military Medical University Xi'an China.
Ren-Yu ZhangDepartment of Cell Biology National Translational Science Center for Molecular Medicine Fourth Military Medical University Xi'an China.
Hao-Lin WeiDepartment of Cell Biology National Translational Science Center for Molecular Medicine Fourth Military Medical University Xi'an China.
Can LiDepartment of Cell Biology National Translational Science Center for Molecular Medicine Fourth Military Medical University Xi'an China.
Ying ShiDepartment of Cell Biology National Translational Science Center for Molecular Medicine Fourth Military Medical University Xi'an China.
Cong ZhangDepartment of Cell Biology National Translational Science Center for Molecular Medicine Fourth Military Medical University Xi'an China.
Yu-Tong WangDepartment of Cell Biology National Translational Science Center for Molecular Medicine Fourth Military Medical University Xi'an China.
Ding WeiDepartment of Cell Biology National Translational Science Center for Molecular Medicine Fourth Military Medical University Xi'an China.
Zhi-Nan ChenDepartment of Cell Biology National Translational Science Center for Molecular Medicine Fourth Military Medical University Xi'an China.
Huijie BianDepartment of Cell Biology National Translational Science Center for Molecular Medicine Fourth Military Medical University Xi'an China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anoikis resistance in hepatocellular carcinoma (HCC) cells boosts survival and metastasis. This study aimed to establish an anoikis-related genes (ARGs)-based model for predicting HCC patients' outcomes and investigate the clinicopathological significance and function of crucial ARGs. The transcriptional expression patterns for HCC cohorts were compiled from TCGA, GEO and ICGC. Univariate and LASSO multivariate analyses were performed to screen for prognostic ARGs. Gain- and loss-of-function studies, RNA sequencing, and mass spectrometry were employed to elucidate the underlying mechanisms of ARGs in HCC. We established a five-gene ARGs risk model for HCC prognosis, with an AUC value of 0.812 for 1-year survival. Among the five genes, Rac family small GTPase 3 (RAC3) was upregulated in HCC relative to adjacent normal tissues and negatively correlated to overall survival and disease-free survival of patients with HCC. Silence of RAC3 in HCC cells resulted in an increased cell apoptosis and diminished cell proliferation and invasion. Mechanistically, we uncovered that RAC3 binding with SOX6 propelled the advancement of HCC cells through NNMT-mediated stimulation of the cAMP/MAPK/Rap1 signaling. In particular, EHop-016, a small molecule inhibitor targeting RAC3, significantly suppressed HCC progression.

Indexed as

anoikishepatocellular carcinomaprognostic signatureRac family small GTPase 3risk model

Identifiers

PMID40123831
PMCPMC11928873

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.