Abstract
BACKGROUND AND OBJECTIVE: Increasing evidence suggests that inflammation plays an essential role in cancer development and progression. The levels of inflammation-related indicators are correlated with prognosis across a wide variety of tumor types, including prostate cancer (PCa), but its diagnostic and prognostic value in PCa remains controversial. In the present review, the diagnostic and prognostic value of inflammation-related indicators in PCa patients is investigated. METHODS: A literature review was performed using the PubMed database, screening articles from English and Chinese journals published mainly from 2015 to 2022. KEY CONTENT AND FINDINGS: Inflammation-related indicators based on haematological tests have some diagnostic and prognostic value not only when used alone but also in combination with common clinical indicators such as prostate-specific antigen (PSA), and can significantly improve the accuracy of diagnostic results. Elevated neutrophil-to-lymphocyte-count ratio (NLR) is strongly associated with the detection of PCa in men with PSA levels of 4-10 ng/mL. Preoperative NLR levels in localized PCa patients affect their overall survival (OS), cancer-specific survival (CSS), and biochemical recurrence-free survival (BCRFS) after radical prostatectomy (RP). In patients with castration-resistant prostate cancer (CRPC), a high NLR is associated with poorer OS, progression-free survival (PFS), CSS, and radiographic PFS. Platelet-to-lymphocyte-count ratio (PLR) appears to have the greatest accuracy in predicting an initial diagnosis of clinically significant PCa. The PLR also has the potential to predict the Gleason score. Patients with higher PLR levels have a higher risk of death compared to those with a lower PLR. Elevated procalcitonin (PCT) is correlated with the development of PCa and may be useful in improving the diagnostic accuracy of PCa. Elevated C-reactive protein (CRP) levels are an independent predictor of poorer OS in metastatic PCa. CONCLUSIONS: Numerous studies have been conducted on the value of inflammation-related indicators in guiding the diagnosis and treatment of PCa. The value of inflammation-related indicators in predicting the diagnosis and prognosis of PCa patients is now becoming clear.