Transcriptome Analysis Identifies Tumor Immune Microenvironment Signaling Networks Supporting Metastatic Castration-Resistant Prostate Cancer
Lawrence P. McKinney, Rajesh Singh, I. King Jordan, Sooryanarayana Varambally, Eric B. Dammer, James W. Lillard

TL;DR
This study identifies 10 genes linked to bone metastasis in lethal prostate cancer, offering potential new targets for diagnosis and treatment.
Contribution
The study introduces a novel combination of WGCNA and gene ontology analyses to identify new biomarkers for mCRPC bone metastasis.
Findings
14 gene clusters were identified, with one strongly correlated to mCRPC bone metastasis.
10 hub genes were found, two of which are novel and may serve as biomarkers.
Key pathways related to bone metabolism and collagen processes were linked to mCRPC progression.
Abstract
Prostate cancer (PCa) is the second most common cause of cancer death in American men. Metastatic castration-resistant prostate cancer (mCRPC) is the most lethal form of PCa and preferentially metastasizes to the bones through incompletely understood molecular mechanisms. Herein, we processed RNA sequencing data from patients with mCRPC (n = 60) and identified 14 gene clusters (modules) highly correlated with mCRPC bone metastasis. We used a novel combination of weighted gene co-expression network analysis (WGCNA) and upstream regulator and gene ontology analyses of clinically annotated transcriptomes to identify the genes. The cyan module (M14) had the strongest positive correlation (0.81, p = 4 × 10−15) with mCRPC bone metastasis. It was associated with two significant biological pathways through KEGG enrichment analysis (parathyroid hormone synthesis, secretion, and action and…
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Taxonomy
TopicsProstate Cancer Treatment and Research · Inflammatory mediators and NSAID effects · Bone health and treatments
