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Insights Into Infections and Inflammation in Prostate Cancer Development and Management: An Overview
Ensiyeh Bahadoran1, Abouzar Babaei2, Shahla Shahbazi3
1Cellular and Molecular Research Center, Research Institute for Prevention of Non-Communicable Disease, Qazvin University of Medical Sciences, Qazvin, Iran, qums.ac.ir.
Infection-associated chronic inflammation, including prostatitis and STIs, drives prostate cancer (PCa) development. Targeting inflammatory pathways offers new strategies for PCa prevention and treatment.
Area of Science:
- Oncology
- Urology
- Immunology
Background:
- Prostate cancer (PCa) is a leading cause of cancer mortality in men, with increasing incidence.
- Established risk factors do not fully explain PCa development, highlighting the need for novel insights.
- Chronic inflammation, particularly infection-associated, is increasingly recognized as a key factor in prostate tumorigenesis.
Purpose of the Study:
- To review epidemiological and experimental evidence linking infection-associated inflammation to PCa.
- To identify key inflammatory signaling pathways involved in prostate cancer initiation and progression.
- To discuss potential therapeutic strategies targeting these inflammatory pathways for PCa management.
Main Methods:
- Systematic review of current epidemiological findings.
- Synthesis of experimental evidence on inflammation and PCa.
- Analysis of signaling pathways including NF-κB, STAT3, COX-2/PGE2, IL-6/IL-8, TLRs, and NLRP3 inflammasome.
Main Results:
- Chronic inflammation from prostatitis, BPH, UTIs, STIs, and catheterization is linked to malignant transformation.
- Prostate microbiome alterations may sustain inflammatory signaling, promoting tumor growth.
- Specific inflammatory pathways (NF-κB, STAT3, COX-2/PGE2, IL-6/IL-8, TLRs, NLRP3) are implicated in PCa.
Conclusions:
- Infection-driven chronic inflammation is a significant contributor to prostate cancer development.
- Modulating specific inflammatory pathways presents promising therapeutic targets for PCa.
- Understanding these interactions can lead to improved PCa biomarkers, risk stratification, and treatment.
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