Deciphering the Transcription Factor Landscape in Neuroendocrine Prostate Cancer Progression: A Novel Approach to...

Area of Science:

• Oncology
• Molecular Biology
• Bioinformatics

Background:

• Prostate cancer (PCa) is a major cause of cancer mortality in men.
• Neuroendocrine prostate cancer (NEPC) is a resistant subtype, and the role of transcription factors (TFs) in its development is unclear.
• Understanding TF dynamics is crucial for deciphering PCa progression to NEPC.

Approach:

• Developed a novel algorithmic approach to assess weighted TF expression in patient samples.
• Analyzed TF landscapes and dynamic shifts during NE transdifferentiation.
• Utilized enrichment and functional analyses across multiple clinical cohorts.

Key Points:

• Identified distinct TF profiles for prostatic adenocarcinoma (PRAD) and NEPC, including shared, PRAD-specific, and NEPC-specific TFs.
• Confirmed lineage specificity and clinical relevance of identified TF signatures.
• Uncovered novel TF candidates implicated in cell development, differentiation, and lineage determination, offering potential therapeutic targets.

Conclusions:

• Characterized lineage-specific TF profiles in PRAD and NEPC, highlighting dynamic TF landscape shifts during PCa progression.
• Proposed a three-phase hypothesis for NE transdifferentiation: de-differentiation, dormancy, and re-differentiation.
• Provided novel insights into the mechanisms driving PCa progression and NEPC development.