Introduction
cancer, prostate, Prostate cancer, high-density lipoprotein, TG, prostate cancer
CANCER, PROSTATE CANCER, PROSTATE CANCER, PROSTATE
Prostate cancer (PCa) remains the most common cause of cancer-related mortality among men worldwide, and they were rapidly increasing in Asia as well [In clinical practice, prostate biopsy has long been recognized as the most reliable method for identifying and diagnosing prostate cancer, earning its status as the gold standard. The decision to perform a prostate biopsy is influenced by various factors, including the level of serum prostate-specific antigen (PSA) and its related factors, as well as the findings of a digital rectal examination (DRE) and imaging. However, the commonly employed methods for PCa screening, such as the PSA test, were subjective but not specific enough. It led to the increased risk of unnecessary invasive prostate biopsy. Then, alternate PCa diagnosis strategies were required to prevent men who are unlikely to have prostate cancer from undergoing potentially morbid or invasive procedures.To address these issues, clinical prediction models had been developed in some Western countries to help inform medical decisions by assessing the risk of cancer in a population individually, thereby reducing unnecessary punctures and increasing positive puncture rates, which were more accurate and scientific than traditional methods based on PSA and DRE. So far, more than a dozen models have been developed in Western countries to predict prostate cancer risk, with the PCPT-RC [Cholesterol was an essential component in the plasma membrane [Thus, an analysis of serum lipid profiles, such as TC (cholesterol), TG (triglyceride), HDL (high-density lipoprotein), LDL (low-density lipoprotein), apolipoprotein AI (apo AI), apolipoprotein B (apo B), and blood PSA levels was conducted retrospectively to determine if serum lipid profile may help optimize prostate cancer diagnosis.