期刊
JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM
卷 106, 期 12, 页码 E4956-E4968出版社
ENDOCRINE SOC
DOI: 10.1210/clinem/dgab516
关键词
prostate cancer; obesity; metabolism; In1-ghrelin; diagnostic tool
资金
- Ministry of Science and Innovation [PID2019-105564RB-I00, PID2019105201RB-I00]
- Instituto de Salud Carlos III
- European Union (ERDF/ESF, Investing in Your Future) [DTS20/00050, PI16/00264, PI20/01301]
- Spanish Ministry of Universities [FPU16-05059, FPU18-02485]
- Junta de Andalucia [BIO-0139, PI-0094-2020]
- CIBERobn
- European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant [847468]
- University of Cordoba (Programa Operativo FEDER Andalucia) [27416]
- Marie Curie Actions (MSCA) [847468] Funding Source: Marie Curie Actions (MSCA)
Urine In1-ghrelin levels are associated with obesity-related factors and PCa risk and aggressiveness, serving as a novel and valuable noninvasive PCa biomarker. High In1-ghrelin levels are linked to increased PCa risk and aggressiveness.
Context: Recent studies emphasize the importance of considering the metabolic status to develop personalized medicine approaches. This is especially relevant in prostate cancer (PCa), wherein the diagnostic capability of prostate-specific antigen (PSA) dramatically drops when considering patients with PSA levels ranging from 3 to 10 ng/ mL, the so-called grey zone. Hence, additional noninvasive diagnostic and/or prognostic PCa biomarkers are urgently needed, especially in the metabolic-status context. Objective: To assess the potential relation of urine In1-ghrelin (a ghrelin-splicing variant) levels with metabolic-related/pathological conditions (eg, obesity, diabetes, body mass index, insulin and glucose levels) and to define its potential clinical value in PCa (diagnostic/ prognostic capacity) and relationship with PCa risk in patients with PSA in the grey zone. Methods: Urine In1-ghrelin levels were measured by radioimmunoassay in a clinically, metabolically, pathologically well-characterized cohort of patients without (n = 397) and with (n = 213) PCa with PSA in the grey zone. Results: Key obesity-related factors associated with PCa risk (BMI, diabetes, glucose and insulin levels) were strongly correlated to In1-ghrelin levels. Importantly, In1-ghrelin levels were higher in PCa patients compared to control patients with suspect of PCa but negative biopsy). Moreover, high In1-ghrelin levels were associated with increased PCa risk and linked to PCa aggressiveness (eg, tumor stage, lymphovascular invasion). In1-ghrelin levels added significant diagnostic value to a clinical model consisting of age, suspicious digital rectal exam, previous biopsy, and PSA levels. Furthermore, a multivariate model consisting of clinical and metabolic variables, including In1-ghrelin levels, showed high specificity and sensitivity to diagnose PCa (area under the receiver operating characteristic curve = 0.740). Conclusions: Urine In1-ghrelin levels are associated with obesity-related factors and PCa risk and aggressiveness and could represent a novel and valuable noninvasive PCa biomarker, as well as a potential link in the pathophysiological relationship between obesity and PCa.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据