Cargando…

Metabolic Syndrome Components are Associated with Increased Prostate Cancer Risk

BACKGROUND: Our study investigated the associations of metabolic syndrome (MS) and metabolic indicators with prostate cancer (PCa) risk in the Chinese Han ethnic population. MATERIAL/METHODS: We studied 101 PCa patients (without/with MS) and 120 healthy controls. Clinical data, including waist circu...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Jian-Qin, Geng, Hui, Ma, Mao, Nan, Xun-Yi, Sheng, Bin-Wu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Scientific Literature, Inc. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4548704/
https://www.ncbi.nlm.nih.gov/pubmed/26275075
http://dx.doi.org/10.12659/MSM.893442
Descripción
Sumario:BACKGROUND: Our study investigated the associations of metabolic syndrome (MS) and metabolic indicators with prostate cancer (PCa) risk in the Chinese Han ethnic population. MATERIAL/METHODS: We studied 101 PCa patients (without/with MS) and 120 healthy controls. Clinical data, including waist circumference, BMI, TG, FINS, FBG, and PCa-related indicators, were collected. The correlations between MS and PCa were analyzed. RESULTS: Compared to PCa, PV and Gleason scores increased and PSA levels decreased in PCa with MS group (all P<0.001). PV was positively correlated with BMI, FINS, and HOMA-IR (r=0.459, P<0.001; r=0.421, P=0.001; r=0.490, P=0.003, respectively), and was negatively correlated with HDL-C (r=−0.378, P<0.001). PSA level in MS patients was negatively correlated with BMI (r=−0.125, P<0.001), TG (r=−0.256, P<0.001) and FBG (r=−0.183, P<0.001). Large PV, high TG, low HDL-C, high LDL-C, and high FBG were associated with an increased risk of PCa (P<0.001, OR=1.10, 95%CI: 1.009–3.304; P<0.001, OR=2.91, 95%CI: 1.612–5.241; P<0.001, OR=7.89, 95%CI: 3.908–15.947; P=0.015, OR=1.87, 95%CI: 1.131–3.077; P=0.004, OR=2.17, 95%CI: 1.280–3.686, respectively). MS-related indicators showed a positive relationship with PCa (P<0.001, OR=1.90, 95%CI: 1.107–10.629). CONCLUSIONS: Our study shows that MS and metabolic indicators are associated with an increased risk of PCa, pointing to a novel therapeutic approach for PCa management.