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Sequencing Small Non-coding RNA from Formalin-fixed Tissues and Serum-derived Exosomes from Castration-resistant Prostate Cancer Patients
Published on: November 19, 2019
Integrated Transcriptomic Analysis Identifies Potential Biomarkers in Castration-Resistant Prostate Cancer
Abdulghani A Naeem1,2,3, Saud A Abdulsamad1,2,3, Ateequllah Hayat4
1Department of Basic Sciences, College of Science and Health Professions, King Saud bin Abdulaziz University for Health Sciences, King Abdulaziz Medical City, Jeddah 21423, Saudi Arabia.
World Journal of Oncology
|July 23, 2026
Summary
Castration-resistant prostate cancer (CRPC) involves significant gene expression changes. Understanding these transcriptional programs reveals new therapeutic targets for advanced prostate cancer.
Area of Science:
- Molecular Oncology
- Transcriptomics
- Cancer Genomics
Background:
- Castration-resistant prostate cancer (CRPC) is an aggressive form of prostate cancer developing after androgen deprivation therapy.
- While androgen receptor (AR) signaling drives progression, other molecular mechanisms contribute to therapeutic resistance.
- Identifying CRPC's transcriptional programs is crucial for novel biomarker and therapeutic target discovery.
Purpose of the Study:
- To compare transcriptomic profiles of non-malignant prostate epithelial cells with CRPC cells.
- To identify key genes and pathways involved in CRPC progression.
- To validate candidate gene expression in clinical prostate adenocarcinoma samples.
Main Methods:
- RNA sequencing for transcriptomic profiling of PNT2 (non-malignant) and 22Rv1 (CRPC) models.
- Differential gene expression analysis (DESeq2), Gene Ontology (GO), and KEGG pathway analyses.
- Gene co-expression network analysis and clinical validation using GEPIA2 (TCGA and GTEx data).
Main Results:
- Extensive transcriptional remodeling observed in CRPC, with significant dysregulation of genes including MALAT1, FASN, PARP1, SET, ENSG00000214719, and IGF1.
- Enrichment analyses revealed activated metabolic processes, ribosome pathways, nucleic acid binding, and PI3K-Akt signaling.
- An AR-centered network module identified key regulators (PARP1, KDM6B, BAZ2A, RANGAP1, NFAT5, MAP4); FASN, PARP1, SET, and ENSG00000214719 validated in tumors.
Conclusions:
- Integrated transcriptomic and network analyses highlight coordinated metabolic, epigenetic, and DNA damage response pathways in CRPC.
- These findings suggest potential combinatorial therapeutic vulnerabilities in advanced prostate cancer.
- The study identifies key molecular drivers and potential therapeutic targets for CRPC.
