Exploring the role of CDCA4 in liver hepatocellular carcinoma using bioinformatics analysis and experiments.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:38701314", "kind": "science-record", "revision": 4, "content_hash": "sha256:7e2bdbb725f88fb17e2073ed153134cbc858a55f108c222829d26672843d4ed7", "created_at": "2026-11-01T19:20:40Z", "updated_at": "2026-11-01T22:11:48Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Exploring the role of CDCA4 in liver hepatocellular carcinoma using bioinformatics analysis and experiments.", "doi": "10.1097/MD.0000000000038028", "pmid": "38701314", "authors": ["Changfu Liang", "Kaijun Long", "Wenhao Zheng", "Riqiang Zhong", "Zhangrui Li", "Shengwei Zhu", "Shijing Gu", "Chuangshi Zhu", "Yan Yang"], "journal": "Medicine", "year": 2024, "abstract": "Liver hepatocellular carcinoma (LIHC) encompasses diverse therapeutic approaches, among which targeted therapy has gained significant prominence in recent years. The identification of numerous targets and the increasing clinical application of targeted drugs have greatly improved LIHC treatment. However, the precise role of CDCA4 (Cell Division Cycle Associated 4), as well as its underlying mechanisms and prognostic implications in LIHC, remains unclear. CDCA4 expression levels in LIHC were analyzed using multiple databases including the cancer genome atlas (TCGA), gene expression profiling interactive analysis (GEPIA), and ULCAN, as well as the datasets E_TABM_36, GSE144269, GSE14520, and GSE54236. The prognostic value of CDCA4 was then evaluated. Subsequently, the association between CDCA4 and immune cells was investigated. Enrichment analysis (GSEA) was utilized to investigate the functional roles and pathways linked to CDCA4. Additionally, the methylation patterns and drug sensitivity of CDCA4 were examined. A predictive model incorporating immune genes related to CDCA4 was developed. The TISCH dataset was used to investigate the single-cell expression patterns of CDCA4. Finally, validation of CDCA4 expression levels was conducted through RT-PCR, Western blotting, and immunohistochemistry. CDCA4 exhibited significant overexpression in LIHC and demonstrated significant correlations with clinical features. High expression of CDCA4 is associated with a poorer prognosis. Analysis of immune infiltration and enrichment revealed its association with the immune microenvironment. Furthermore, its expression is correlated with methylation and mutation patterns. CDCA4 is associated with 19 drugs. Prognostic models utilizing CDCA4 demonstrate favorable effectiveness. T cell subtypes were found to be associated with CDCA4 through single-cell analysis. The conclusive experiment provided evidence of significant upregulation of CDCA4 in LIHC. The high expression of CDCA4 in LIHC is associated with prognostic significance and is highly expressed in T cell subtypes, providing a new therapeutic target and potential therapeutic strategy for LIHC.", "claims": [{"id": "claim-method", "statement": "Univariate Cox regression analysis was carried out to assess the impact of CDCA4 on patient prognosis, specifically in LIHC. The association between CDCA4 and overall survival (OS) was investigated using the Kaplan–Meier method.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:38701314", "locator": "sections[4] \"2.2. Prognostic analysis of CDCA4\" paragraph 2", "quote": "Univariate Cox regression analysis was carried out to assess the impact of CDCA4 on patient prognosis, specifically in LIHC. The association between CDCA4 and overall survival (OS) was investigated using the Kaplan–Meier method."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Data sharing not applicable to this article as no datasets were generated or analyzed during the current study.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:38701314", "locator": "sections[34] \"fn-group\" paragraph 1", "quote": "Data sharing not applicable to this article as no datasets were generated or analyzed during the current study."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "", "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:38701314"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. 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