ArticleJournal of Cancer2020
Weighted gene co-expression network analysis identifies CCNA2 as a treatment target of prostate cancer through inhibiting cell cycle.
Article in Journal of Cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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.
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.
Who cites it
30 citing papers in PubMed, 45 citations in OpenAlex.
- CCNA2, MAD2L1, AURKA, and PTTG1 promote proliferation and migration in hepatocellular carcinoma.BMC gastroenterology · 2026Article
- Data-Driven Discovery of a Key Regulator Cyclin A2 as a Promising Therapeutic Target in Hormone-Sensitive Cancers.Molecular biotechnology · 2026Article
- Experimental Validation of an Immune Cell Infiltration Signature in Psoriasis: Translating Computational Modeling to In Vivo Efficacy.Journal of clinical laboratory analysis · 2026Article
- Computational Identification and Validation of Metabolic Cell Death-Related Prognostic Biomarkers for Personalized Treatment Strategies in Prostate Cancer.Cell biochemistry and biophysics · 2025Article
- DiCE: differential centrality-ensemble analysis based on gene expression profiles and protein-protein interaction network.Nucleic acids research · 2025Article
- Prognostic Significance ofCancer genomics & proteomics · 2025Article
- Targeting PCNA/AR interaction inhibits AR-mediated signaling in castration resistant prostate cancer cells.Oncotarget · 2025Article
- Article
- Transcriptome-wide association analysis identifies candidate susceptibility genes for prostate-specific antigen levels in men without prostate cancer.HGG advances · 2024Article
- Computational Modeling to Identify Drugs Targeting Metastatic Castration-Resistant Prostate Cancer Characterized by Heightened Glycolysis.Pharmaceuticals (Basel, Switzerland) · 2024Article
- Multi-omics analysis and experimental validation of the value of monocyte-associated features in prostate cancer prognosis and immunotherapy.Frontiers in immunology · 2024Article
- Transcriptome-Wide Association Analysis Identifies Novel Candidate Susceptibility Genes for Prostate-Specific Antigen Levels in Men Without Prostate Cancer.medRxiv : the preprint server for health sciences · 2023Article
- Up-regulation of PRKDC was associated with poor renal dysfunction after renal transplantation: A multi-centre analysis.Journal of cellular and molecular medicine · 2023Article
- ARPC1A correlates with poor prognosis in prostate cancer and is up-regulated by glutamine metabolism to promote tumor cell migration, invasion and cytoskeletal changes.Cell & bioscience · 2023Article
- Gene dysregulation in acute HIV-1 infection - early transcriptomic analysis reveals the crucial biological functions affected.Frontiers in cellular and infection microbiology · 2023Article
- Comprehensive analysis of the progression mechanisms of CRPC and its inhibitor discovery based on machine learning algorithms.Frontiers in genetics · 2023Article
- A compendium of Androgen Receptor Variant 7 target genes and their role in Castration Resistant Prostate Cancer.Frontiers in oncology · 2023Review
- Characterization of Fatty Acid Metabolism-Related Genes Landscape for Predicting Prognosis and Aiding Immunotherapy in Glioma Patients.Frontiers in immunology · 2022Article
- Up-Regulation of TRIM32 Associated With the Poor Prognosis of Acute Myeloid Leukemia by Integrated Bioinformatics Analysis With External Validation.Frontiers in oncology · 2022Article
- E2F1 transcriptionally regulates CCNA2 expression to promote triple negative breast cancer tumorigenicity.Cancer biomarkers : section A of Disease markers · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Prostate cancer is a malignant tumor disease that seriously harms the lives of middle-aged and elderly men. Weighted gene co-expression analysis can be used to construct gene co-expression networks to explore gene sets and genes that are significantly correlated with clinical features. In this study, the transcriptome data of prostate cancer on TCGA was analyzed by weighted gene co-expression network, and the gene with a significant correlation with disease Gleason stage and tumor T stage was identified: CCNA2. CCNA2 was significantly associated with biochemical recurrence, disease-free survival and overall survival rate of prostate cancer. The ability of cancer cell proliferation, invasion and metastasis was decreased after down-regulated expression of CCNA2 in prostate cancer cell lines. Flow cytometry revealed that tumor cells were arrested in the S phase after down-regulated the expression of CCNA2. Taken together, we used WGCNA and obtain a gene CCNA2 which is significantly associated with the prognosis of prostate cancer, which may be an indicator of the prognosis of prostate cancer and a new therapeutic target.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.