Evidence map›Paper›PMID 42210102›Full record

ArticleBMC gastroenterology2026

CCNA2, MAD2L1, AURKA, and PTTG1 promote proliferation and migration in hepatocellular carcinoma.

Wang Jinli, Hu Shiping

Abstract read
In one paragraph

Article in BMC gastroenterology, 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

2 authors.

Wang JinliDepartment of Hepatology, Beijing University of Chinese Medicine Affiliated Shenzhen Hospital, Shenzhen, 518172, China.
Hu ShipingDepartment of Hepatology, Beijing University of Chinese Medicine Affiliated Shenzhen Hospital, Shenzhen, 518172, China. smu8772022@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liver hepatocellular carcinoma (LIHC) is a leading cause of cancer-related mortality worldwide, with limited therapeutic options and poor prognosis, particularly at advanced stages. Identifying key molecular drivers involved in LIHC progression is critical for improving diagnosis and treatment strategies. In this study, we performed an integrated bioinformatics analysis using four independent GEO datasets (GSE19665, GSE54236, GSE55092, and GSE84598) to identify differentially expressed genes (DEGs) associated with LIHC. A total of 147 common DEGs were identified, and protein-protein interaction network analysis revealed CCNA2, MAD2L1, AURKA, and PTTG1 as central hub genes. Functional enrichment analyses indicated that these genes are primarily involved in cell cycle regulation, mitosis, and chromosomal stability. Expression analyses using TCGA-based databases demonstrated significant upregulation of these hub genes at both mRNA and protein levels in LIHC tissues compared with normal liver tissues. Elevated expression was associated with advanced tumor stage, poor overall survival, immune cell infiltration, and altered drug sensitivity, highlighting their clinical relevance. Promoter methylation analysis suggested that epigenetic regulation may contribute to gene dysregulation, while genetic alterations were infrequent. Experimental validation using RT-qPCR confirmed overexpression of hub genes in LIHC cell lines. Furthermore, siRNA-mediated knockdown of these genes significantly suppressed proliferation, colony formation, and migration in HepG2 and Huh7 cells. Collectively, these findings identify CCNA2, MAD2L1, AURKA, and PTTG1 as key oncogenic drivers and potential biomarkers and therapeutic targets in LIHC.

Indexed as

Aurora Kinase ACarcinoma, HepatocellularLiver NeoplasmsMad2 ProteinsSecurinCell Line, TumorCell MovementCell ProliferationComputational BiologyGene Expression Regulation, NeoplasticHumansProtein Interaction MapsAURKA protein, humanAurora Kinase AMAD2L1 protein, humanMad2 Proteinspituitary tumor-transforming protein 1, humanSecurinDiagnosisHub geneLIHCPrognosisTreatment

Identifiers

PMID42210102
PMCPMC13419025

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.