Evidence map›Paper›PMID 38954354›Full record

ArticleMolecular biotechnology2025

Comprehensive Bioinformatics Analysis and Machine Learning of TTK as a Transhepatic Arterial Chemoembolization Resistance Target in Hepatocellular Carcinoma.

Yangyang Xiao, Youwen Hu

Abstract read
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In one paragraph

Article in Molecular biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Yangyang XiaoDepartment of Gerontology, Jiangxi University of Traditional Chinese Medicine Affiliated Hospital, Nanchang, Jiangxi Province, China.
Youwen HuDepartment of Gastroenterology, The Second Affiliated Hospital of Nanchang University, No.1 Minde Rd, Nanchang, 330006, Jiangxi Province, China. hyw953490917@163.com.ORCID http://orcid.org/0000-0002-6688-2355

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transhepatic arterial chemoembolization (TACE) is the standard treatment for intermediate-stage hepatocellular carcinoma (HCC). However, a significant proportion of patients are non-responders or poor responders to TACE. Therefore, our aim is to identify the targets of TACE responders or non-responders. GSE104580 was utilized to identify differentially expressed genes (DEGs) in TACE responders and non-responders. Following the protein-protein interaction (PPI) analysis, hub genes were identified using the MCC and MCODE plugins in Cytoscape software, as well as LASSO regression analysis. Gene set enrichment analysis (GSEA) was performed to investigate potential mechanisms. Subsequently, the hub genes were validated using data from The Cancer Genome Atlas (TCGA), the Cancer Cell Line Encyclopedia (CCLE), and The Human Protein Atlas (HPA) database. To evaluate the clinical significance of the hub genes, Kaplan-Meier (KM) survival and Cox regression analysis were employed. A total of 375 DEGs were identified, with 126 remaining following PPI analysis, and TTK, a dual-specificity protein kinase associated with cell proliferation, was ultimately identified as the hub gene through multiple screening methods. Data analysis from TCGA, CCLE, and HPA databases revealed elevated TTK expression in HCC tissues. GSEA indicated that the cell cycle, farnesoid X receptor pathway, PPAR pathway, FOXM1 pathway, E2F pathway, and ferroptosis could be potential mechanisms for TACE non-responders. Analysis of immune cell infiltration showed a significant correlation between TTK and Th2 cells. KM and Cox analysis suggested that HCC patients with high TTK expression had a worse prognosis. TTK may play a pivotal role in HCC patients' response to TACE therapy and could be linked to the prognosis of these patients.

Indexed as

Carcinoma, HepatocellularCell Cycle ProteinsChemoembolization, TherapeuticComputational BiologyDrug Resistance, NeoplasmLiver NeoplasmsMachine LearningBiomarkers, TumorDatabases, GeneticGene Expression ProfilingGene Expression Regulation, NeoplasticHumansKaplan-Meier EstimatePrognosisProtein Interaction MapsBiomarkers, TumorCell Cycle ProteinsHepatocellular carcinomaPrognosisTranshepatic arterial chemoembolizationTTK

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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.