ArticleFrontiers in genetics2021
Four Novel Prognostic Genes Related to Prostate Cancer Identified Using Co-expression Structure Network Analysis.
Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 25 citations in OpenAlex.
- Multifaceted mechanisms by which environmental endocrine-disrupting chemicals promote cancer progression: crosstalk among carcinogenesis, immunity, and metabolic reprogramming: narrative mini-review.Frontiers in molecular biosciences · 2026Review
- Exosomal circ_0001583 Drives Glioblastoma Cell Advancement Through the miR-647/CKAP2L Pathway.Molecular neurobiology · 2025Article
- Using machine learning to discover DNA metabolism biomarkers that direct prostate cancer treatment.Scientific reports · 2025Article
- The role and therapeutic value of NUSAP1 in human cancers.Journal of translational medicine · 2025Review
- RNA-Seq Uncovers Association of Endocrine-Disrupting Chemicals with Hub Genes and Transcription Factors in Aggressive Prostate Cancer.International journal of molecular sciences · 2025Article
- Exploring the interaction between immune cells in the prostate cancer microenvironment combining weighted correlation gene network analysis and single-cell sequencing: An integrated bioinformatics analysis.Discover oncology · 2024Article
- Transcriptome-wide association analysis identifies candidate susceptibility genes for prostate-specific antigen levels in men without prostate cancer.HGG advances · 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
- NUSAP1 Binds ILF2 to Modulate R-Loop Accumulation and DNA Damage in Prostate Cancer.International journal of molecular sciences · 2023Article
- Endocrine Disrupting Chemicals Influence Hub Genes Associated with Aggressive Prostate Cancer.International journal of molecular sciences · 2023Article
- An in-silico approach leads to explore six genes as a molecular signatures of lung adenocarcinoma.American journal of cancer research · 2023Article
- Evaluate the diagnostic and prognostic value of NUSAP1 in papillary thyroid carcinoma and identify the relationship with genes, proteins, and immune factors.World journal of surgical oncology · 2022Article
- Environmental Phenol and Paraben Exposure Risks and Their Potential Influence on the Gene Expression Involved in the Prognosis of Prostate Cancer.International journal of molecular sciences · 2022Article
- The Predictive Competing Endogenous RNA Regulatory Networks and Potential Prognostic and Immunological Roles of Cyclin A2 in Pan-Cancer Analysis.Frontiers in molecular biosciences · 2022Article
- Screening a novel six critical gene-based system of diagnostic and prognostic biomarkers in prostate adenocarcinoma patients with different clinical variables.American journal of translational research · 2022Article
- Identification of the Key Genes Involved in the Tumorigenesis and Prognosis of Prostate Cancer.Computational and mathematical methods in medicine · 2022Article
- Prognostic significance of CKAP2L expression in patients with clear cell renal cell carcinoma.Frontiers in genetics · 2022Article
- Development of a Gene Risk Signature for Patients of Pancreatic Cancer.Journal of healthcare engineering · 2022Article
- Enzalutamide-Resistant Progression of Castration-Resistant Prostate Cancer Is Driven via the JAK2/STAT1-Dependent Pathway.Frontiers in molecular biosciences · 2021Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Prostate cancer (PCa) is one of the most common malignancies for males, but very little is known about its pathogenesis. This study aimed to identify novel biomarkers associated with PCa prognosis and elucidate the underlying molecular mechanism. First, The Cancer Genome Atlas (TCGA) RNA-sequencing data were utilized to identify differentially expressed genes (DEGs) between tumor and normal samples. The DEGs were then applied to construct a co-expression and mined using structure network analysis. The magenta module that was highly related to the Gleason score (
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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.