RAGE as a Novel Biomarker for Prostate Cancer: A Systematic Review and Meta-Analysis.
Catherine C ApplegateMichael B NelappanaElaine A NielsenBogusław NedoszytkoIwona T DobruckiLawrence W DobruckiPublished in: Cancers (2023)
The receptor for advanced glycation end-products (RAGE) has been implicated in driving prostate cancer (PCa) growth, aggression, and metastasis through the fueling of chronic inflammation in the tumor microenvironment. This systematic review and meta-analysis summarizes and analyzes the current clinical and preclinical data to provide insight into the relationships among RAGE levels and PCa, cancer grade, and molecular effects. A multi-database search was used to identify original clinical and preclinical research articles examining RAGE expression in PCa. After screening and review, nine clinical and six preclinical articles were included. The associations of RAGE differentiating benign prostate hyperplasia (BPH) or normal prostate from PCa and between tumor grades were estimated using odds ratios (ORs) and associated 95% confidence intervals (CI). Pooled estimates were calculated using random-effect models due to study heterogeneity. The clinical meta-analysis found that RAGE expression was highly likely to be increased in PCa when compared to BPH or normal prostate (OR: 11.3; 95% CI: 4.4-29.1) and that RAGE was overexpressed in high-grade PCa when compared to low-grade PCa (OR: 2.5; 95% CI: 1.8-3.4). In addition, meta-analysis estimates of preclinical studies performed by albatross plot generation found robustly positive associations among RAGE expression/activation and PCa growth and metastatic potential. This review demonstrates that RAGE expression is strongly tied to PCa progression and can serve as an effective diagnostic target to differentiate between healthy prostate, low-grade PCa, and high-grade PCa, with potential theragnostic applications.
Keyphrases
- prostate cancer
- low grade
- high grade
- poor prognosis
- systematic review
- benign prostatic hyperplasia
- radical prostatectomy
- lower urinary tract symptoms
- squamous cell carcinoma
- binding protein
- magnetic resonance imaging
- small cell lung cancer
- long non coding rna
- computed tomography
- randomized controlled trial
- bone marrow
- deep learning
- adverse drug
- squamous cell
- data analysis
- magnetic resonance
- study protocol
- open label
- drug induced
- lymph node metastasis