The Ghrelin-system is a complex, pleiotropic family composed of several peptides, including native-ghrelin and its In1-ghrelin splicing variant, and receptors (GHSR 1a/b), which are dysregulated in various endocrine-related tumors, where they associate to pathophysiological features, but the presence, functional role, and mechanisms of actions of In1-ghrelin splicing variant in prostate-cancer (PCa), is completely unexplored. Herein, we aimed to determine the presence of key ghrelin-system components (native-ghrelin, In1-ghrelin, GHSR1a/1b) and their potential pathophysiological role in prostate cancer (PCa). In1-ghrelin and native-ghrelin expression was evaluated by qPCR in prostate tissues from patients with high PCa-risk (n = 52; fresh-tumoral biopsies), and healthy-prostates (n = 12; from cystoprostatectomies) and correlated with clinical parameters using Spearman-test. In addition, In1-ghrelin and native-ghrelin was measured in plasma from an additional cohort of PCa-patients with different risk levels (n = 30) and control-healthy patients (n = 20). In vivo functional (proliferation/migration) and mechanistic (gene expression/signaling-pathways) assays were performed in PCa-cell lines in response to In1-ghrelin and native-ghrelin treatment, overexpression and/or silencing. Finally, tumor progression was monitored in nude-mice injected with PCa-cells overexpressing In1-ghrelin, native-ghrelin and empty vector (control). In1-ghrelin, but not native-ghrelin, was overexpressed in high-risk PCa-samples compared to normal-prostate (NP), and this expression correlated with that of PSA. Conversely, GHSR1a/1b expression was virtually absent. Remarkably, plasmatic In1-ghrelin, but not native-ghrelin, levels were also higher in PCa-patients compared to healthy-controls. Furthermore, In1-ghrelin treatment/overexpression, and to a much lesser extent native-ghrelin, increased aggressiveness features (cell-proliferation, migration and PSA secretion) of NP and PCa cells. Consistently, nude-mice injected with PC-3-cells stably-transfected with In1-ghrelin, but not native-ghrelin, presented larger tumors. These effects were likely mediated by ERK1/2-signaling activation and involved altered expression of key oncogenes/tumor suppressor genes. Finally, In1-ghrelin silencing reduced cell-proliferation and PSA secretion from PCa cells. Altogether, our results indicate that In1-ghrelin levels (in tissue) and circulating levels (in plasma) are increased in PCa where it can regulate key pathophysiological processes, thus suggesting that In1-ghrelin may represent a novel biomarker and a new therapeutic target in PCa.

Sst5TMD4, a splice variant of the sst5 gene, is overexpressed and associated with aggressiveness in various endocrine‐related tumors, but its presence, functional role, and mechanisms of actions in prostate cancer (PCa)—the most common cancer type in males—is completely unexplored. In this study, formalin‐fixed, paraffin‐embedded prostate pieces from patients with localized PCa, which included tumoral and nontumoral adjacent regions ( n = 45), fresh biopsies from patients with high‐risk PCa ( n = 52), and healthy fresh prostates from cystoprostatectomies ( n = 14) were examined. In addition, PCa cell lines and xenograft models were used to determine the presence and functional role of sst5TMD4. Results demonstrated that sst5TMD4 is overexpressed (mRNA/protein) in PCa samples, and this is especially drastic in metastatic and/or high Gleason score tumor samples. Remarkably, sst5TMD4 expression was associated with an altered frequency of 2 single‐nucleotide polymorphisms: rs197055 and rs12599155. In addition, PCa cell lines and xenograft models were used to demonstrate that sst5TMD4 overexpression increases cell proliferation and migration in PCa cells and induces larger tumors in nude mice, whereas its silencing decreased proliferation and migration. Remarkably, sst5TMD4 overexpression activated multiple intracellular pathways (ERK/JNK, MYC/MAX, WNT, retinoblastoma), altered oncogenes and tumor suppressor gene expression, and disrupted the normal response to somatostatin analogs in PCa cells. Altogether, we demonstrate that sst5TMD4 is overexpressed in PCa, especially in those patients with a worse prognosis, and plays an important pathophysiologic role in PCa, which suggesting its potential as a biomarker and/or therapeutic target.—Hormaechea‐Agulla, D., Jiménez‐Vacas, J. M., Gómez‐Gómez, E., L.‐López, F., Carrasco‐Valiente, J., Valero‐Rosa, J., Moreno, M. M., Sánchez‐Sánchez, R., Ortega‐Salas, R., Gracia‐Navarro, F., Culler, M. D., Ibáñez‐Costa, A., Gahete, M. D., Requena, M. J., Castaño, J. P., Luque, R. M. The oncogenic role of the spliced somatostatin receptor sst5TMD4 variant in prostate cancer. FASEB J. 31, 4682–4696 (2017). www.fasebj.org

Background Prostate cancer progresses slowly when present in low risk forms but can be lethal when it progresses to metastatic disease. A non-invasive test that can detect significant prostate cancer is needed to guide patient management. Methods Capillary electrophoresis/mass spectrometry has been employed to identify urinary peptides that may accurately detect significant prostate cancer. Urine samples from 823 patients with PSA (<15 ng/ml) were collected prior to biopsy. A case–control comparison was performed in a training set of 543 patients (n_Sig = 98; n_non-Sig = 445) and a validation set of 280 patients (n_Sig = 48, n_non-Sig = 232). Totally, 19 significant peptides were subsequently combined by a support vector machine algorithm. Results Independent validation of the 19-biomarker model in 280 patients resulted in a 90% sensitivity and 59% specificity, with an AUC of 0.81, outperforming PSA (AUC = 0.58) and the ERSPC-3/4 risk calculator (AUC = 0.69) in the validation set. Conclusions This multi-parametric model holds promise to improve the current diagnosis of significant prostate cancer. This test as a guide to biopsy could help to decrease the number of biopsies and guide intervention. Nevertheless, further prospective validation in an external clinical cohort is required to assess the exact performance characteristics.

The existing clinical biomarkers for prostate cancer (PCa) diagnosis are far from ideal (e.g., the prostate specific antigen (PSA) serum level suffers from lack of specificity, providing frequent false positives leading to over-diagnosis). A key step in the search for minimum invasive tests to complement or replace PSA should be supported on the changes experienced by the biochemical pathways in PCa patients as compared to negative biopsy control individuals. In this research a comprehensive global analysis by LC–QTOF was applied to urine from 62 patients with a clinically significant PCa and 42 healthy individuals, both groups confirmed by biopsy. An unpaired t-test (p-value < 0.05) provided 28 significant metabolites tentatively identified in urine, used to develop a partial least squares discriminant analysis (PLS-DA) model characterized by 88.4 and 92.9% of sensitivity and specificity, respectively. Among the 28 significant metabolites 27 were present at lower concentrations in PCa patients than in control individuals, while only one reported higher concentrations in PCa patients. The connection among the biochemical pathways in which they are involved (DNA methylation, epigenetic marks on histones and RNA cap methylation) could explain the concentration changes with PCa and supports, once again, the role of metabolomics in upstream processes.