Evidence map›Paper›PMID 40927650›Full record

ArticleJournal of hepatocellular carcinoma2025

Newly Established Anoikis-Associated Genes Predict the Prognosis of Hepatocellular Carcinoma.

Yuyao Li, Er Li, Wenlan Zheng, Jia Shi, Shihan Yu, Xuemei Zhang, Liming Zheng, Wurong Du, Hao Liu, Hai Feng and 2 more

Abstract read
In one paragraph

Article in Journal of hepatocellular carcinoma, 2025. 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

12 authors.

Yuyao Li *Department of Liver Disease, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, People's Republic of China.
Er Li *Institute of Infectious Disease, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, People's Republic of China.
Wenlan ZhengDepartment of Liver Disease, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, People's Republic of China.
Jia ShiDepartment of Liver Disease, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, People's Republic of China.
Shihan YuDepartment of Liver Disease, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, People's Republic of China.
Xuemei ZhangDepartment of Liver Disease, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, People's Republic of China.
Liming ZhengDepartment of Liver Disease, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, People's Republic of China.
Wurong DuDepartment of Liver Disease, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, People's Republic of China.
Hao LiuDepartment of Liver Disease, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, People's Republic of China.
Hai FengInstitute of Infectious Disease, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, People's Republic of China.
Jianfeng GuoSchool of Pharmaceutical Sciences, Jilin University, Changchun, 130021, People's Republic of China.
Zhuo YuDepartment of Liver Disease, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, People's Republic of China.ORCID 0000-0003-4100-8415

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Anoikis is an anchorage-dependent programmed cell death implicated in multiple pathological processes of cancers; however, the prognostic value of anoikis-related genes (ANRGs) in hepatocellular carcinoma (HCC) remains unclear. Our study aims to develop an ANRGs-based prediction model to improve prognostic assessment in HCC patients. Methods: The RNA-seq profile was performed to estimate the expression of ANRGs in HCC patients. The univariate Cox regression and the least absolute shrinkage and selection operator (LASSO) Cox regression analysis were applied in the model construction to predict the prognosis in terms of differentially expressed ANRGs in the Cancer Genome Atlas (TCGA) training cohort. The TCGA test cohort and the International Cancer Genome Consortium (ICGC)-originated cohort were set to verify the predictive capacity. Nomogram was built on the basis of risk score (RS), gender, age, grade, and T_stage, with the hope of extending the predictive ability of ANRGs to evaluate the HCC prognosis. The expression of differentially expressed ANRGs was assessed in HCC cell lines and orthotopic tumor-bearing mice. Results: Six ANRGs ( Conclusion: Despite the lack of mechanistic validation, our anoikis-linked

Indexed as

anoikisliver cancernomogramrisk modeltumor prognosisvalidation

Identifiers

PMID40927650
PMCPMC12415389

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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.