Targeted proteomics in urinary extracellular vesicles identifies biomarkers for diagnosis and prognosis of prostate cancer.

Rapid and reliable diagnosis of prostate cancer (PCa) is highly desirable as current used methods lack specificity. In addition, identification of PCa biomarkers that can classify patients into high- and low-risk groups for disease progression at early stage will improve treatment decision-making. Here, we describe a set of protein-combination panels in urinary extracellular vesicles (EVs), defined by targeted proteomics and immunoblotting techniques that improve early non-invasive detection and stratification of PCa patients.We report a two-protein combination in urinary EVs that classifies benign and PCa patients (ADSV-TGM4), and a combination of five proteins able to significantly distinguish between high- and low-grade PCa patients (CD63-GLPK5-SPHM-PSA-PAPP). Proteins composing the panels were validated by immunohistochemistry assays in tissue microarrays (TMAs) confirming a strong link between the urinary EVs proteome and alterations in PCa tissues. Moreover, ADSV and TGM4 abundance yielded a high diagnostic potential in tissue and promising TGM4 prognostic power. These results suggest that the proteins identified in urinary EVs distinguishing high- and low grade PCa are a reflection of histological changes that may be a consequence of their functional involvement in PCa development. In conclusion, our study resulted in the identification of protein-combination panels present in urinary EVs that exhibit high sensitivity and specificity for PCa detection and patient stratification. Moreover, our study highlights the potential of targeted proteomic approaches-such as selected reaction monitoring (SRM)-as diagnostic assay for liquid biopsies via urinary EVs to improve diagnosis and prognosis of suspected PCa patients.

Urinary biomarkers for the detection of prostate cancer in patients with high-grade prostatic intraepithelial neoplasia.

INTRODUCTION: High-grade prostatic intraepithelial neoplasia (HGPIN) is a recognized precursor stage of PCa. Men who present HGPIN in a first prostate biopsy face years of active surveillance including repeat biopsies. This study aimed to identify non-invasive prognostic biomarkers that differentiate early on between indolent HGPIN cases and those that will transform into actual PCa. METHODS: We measured the expression of 21 candidate mRNA biomarkers using quantitative PCR in urine sediment samples from a cohort of 90 patients with initial diagnosis of HGPIN and a posterior follow up of at least two years. Uni- and multivariate statistical analyses were applied to analyze the candidate biomarkers and multiplex models using combinations of these biomarkers. RESULTS: PSMA, PCA3, PSGR, GOLM, KLK3, CDH1, and SPINK1 behaved as predictors for PCa presence in repeat biopsies. Multiplex models outperformed (AUC = 0.81-0.86) the predictive power of single genes, including the FDA-approved PCA3 (AUC = 0.70). With a fixed sensitivity of 95%, the specificity of our multiplex models was of 41-58%, compared to the 30% of PCA3. The PPV of our models (30-38%) was also higher than the PPV of PCA3 (27%), suggesting that benign cases could be more accurately identified. Applying statistical models, we estimated that 33% to 47% of repeat biopsies could be prevented with a multiplex PCR model, representing an easy applicable and significant advantage over the current gold standard in urine sediment. DISCUSSION: Using multiplex RTqPCR-based models in urine sediment it is possible to improve the current diagnostic method of choice (PCA3) to differentiate between benign HGPIN and PCa cases.

Role of serum cholesterol and statin use in the risk of prostate cancer detection and tumor aggressiveness.

The aim of this study was to analyze the relationship between statin use along with serum cholesterol levels and prostate cancer (PCa) detection and aggressiveness. Statin users of three years or more and serum cholesterol levels (SC) were assessed in 2408 men scheduled for prostate biopsy. SC was classified as normal (NSC: <200 mg/dL) or high (HSC: >200 mg/dL). High-grade PCa (HGPCa) was considered if the Gleason score was greater than 7. Statin users comprised 30.9% of those studied. The PCa detection rate was 31.2% of men on statins and 37% of non-statin users (p<0.006). The PCa detection rate was 26.3% in men with NSC and 40.6% in those with HSC (p<0.001). In the subset of NSC men, the PCa rate was 26.5% for statin users and 26.2% for non-users (p=0.939), while in men with HSC, the PCa rate was 36.4% for statin users and 42.0% for non-statin users (p=0.063). The HGPCa rate was 41.8% for statin users and 32.5% for non-users (p=0.012). NSC men had a 53.8% rate of HGPCa, while the rate was only 27.6% in HSC men (p<0.001). NSC men on statins had an HGPCa rate of 70.2%, while non-statin users had a rate of 41.2% (p<0.001). The HGPCa rate for HSC men on statins was 18.8%, while the rate was 30.0% (p=0.011) for non-users. Logistic regression analysis suggested that serum cholesterol levels could serve as an independent predictor of PCa risk, OR 1.87 (95% CI 1.56-2.24) and HGPCa risk, OR 0.31 (95% CI 0.23-0.44), while statin usage could not. Statin treatment may prevent PCa detection through serum cholesterol-mediated mechanisms. A disturbing increase in the HGPCa rate was observed in statin users who normalized their serum cholesterol.

MicroRNAs as prognostic markers in ovarian cancer.

Ovarian cancer (OC) is the most lethal gynecological malignancy among women. Over 70% of women with OC are diagnosed in advanced stages and most of these cases are incurable. Although most patients respond well to primary chemotherapy, tumors become resistant to treatment. Mechanisms of chemoresistance in cancer cells may be associated with mutational events and/or alterations of gene expression through epigenetic events. Although focusing on known genes has already yielded new information, previously unknown non-coding RNAs, such as microRNAs (miRNAs), also lead insight into the biology of chemoresistance. In this review we summarize the current evidence examining the role of miRNAs as biomarkers of response and survival to therapy in OC. Beside their clinical implications, we also discuss important differences between studies that may have limited their use as clinical biomarkers and suggest new approaches.

Cyclooxygenase-2 inhibitor suppresses tumour progression of prostate cancer bone metastases in nude mice.

OBJECTIVE: To assess whether celecoxib, a selective cyclooxygenase-2 (COX-2) inhibitor with anti-cancer properties, has an inhibitory effect on tumour establishment and progression of prostate cancer (PCa) bone metastases. MATERIALS AND METHODS: PC-3 stable luciferase-expressing cells were injected into male nude mice by intracardiac (i.c.) and intratibial (i.t.) injections, and the effect of celecoxib on bone metastases was then recorded using bioluminescence image analysis. In cases of chemoprevention, mice received 3 mg/kg celecoxib from 1 week before cell implantation until the end of the study, and to test the therapeutic effect, mice received celecoxib 1 week after cell implantation until the end of the study. Tumour tissue samples were histologically examined and COX-2 expression was quantified at the protein level. RESULTS: Celecoxib significantly decreased cell viability and the proliferation of human PCa cells in vitro in a dose-dependent manner. Bone metastases were detected after i.c. injection in nude mice. Celecoxib (15 ppm) administered before i.c. injection did not inhibit the cellular metastatic potential, as the numbers of bone metastases were similar in both groups. However, celecoxib did decrease metastatic progression in the osseous environment when cells were injected directly into the tibia (P < 0.05). At the protein level, COX-2 expression was significantly decreased in the celecoxib treatment group (P < 0.01). CONCLUSION: In a preclinical mice model, celecoxib administered orally at the standard human dose inhibits the progression of established PCa bone metastases.

Molecular markers for prostate cancer in formalin-fixed paraffin-embedded tissues.

Prostate cancer (PCa) is the most frequently diagnosed type of cancer in developed countries. The decisive method of diagnosis is based on the results of biopsies, morphologically evaluated to determine the presence or absence of cancer. Although this approach leads to a confident diagnosis in most cases, it can be improved by using the molecular markers present in the tissue. Both miRNAs and proteins are considered excellent candidates for biomarkers in formalin-fixed paraffin-embedded (FFPE) tissues, due to their stability over long periods of time. In the last few years, a concerted effort has been made to develop the necessary tools for their reliable measurement in these types of samples. Furthermore, the use of these kinds of markers may also help in establishing tumor grade and aggressiveness, as well as predicting the possible outcomes in each particular case for the different treatments available. This would aid clinicians in the decision-making process. In this review, we attempt to summarize and discuss the potential use of microRNA and protein profiles in FFPE tissue samples as markers to better predict PCa diagnosis, progression, and response to therapy.

The present and future of prostate cancer urine biomarkers.

In order to successfully cure patients with prostate cancer (PCa), it is important to detect the disease at an early stage. The existing clinical biomarkers for PCa are not ideal, since they cannot specifically differentiate between those patients who should be treated immediately and those who should avoid over-treatment. Current screening techniques lack specificity, and a decisive diagnosis of PCa is based on prostate biopsy. Although PCa screening is widely utilized nowadays, two thirds of the biopsies performed are still unnecessary. Thus the discovery of non-invasive PCa biomarkers remains urgent. In recent years, the utilization of urine has emerged as an attractive option for the non-invasive detection of PCa. Moreover, a great improvement in high-throughput "omic" techniques has presented considerable opportunities for the identification of new biomarkers. Herein, we will review the most significant urine biomarkers described in recent years, as well as some future prospects in that field.

[Molecular biology of bone metastases]. / Biología molecular de las metástasis óseas.

Bone metastases are a frequent and devastating complication in cancer patients. Recently, significant advances in our understanding of the molecular mechanisms responsible for both osteolytic and osteoblastic bone metastases have occurred. The use of OMICS and the availability of appropriate preclinical animal models of bone metastasis have permitted the identification of factors produced by the tumor or by the host stroma in response to the tumor. These types of studies should result in a decrease of the serious skeletal morbidities associated with metastatic prostate cancer and may in the future improve overall survival. In this review the next generation of molecular targets in bone metastasis will be summarized.

Biología molecular de la metástasis óseas / Molecular biology of bone metastases

Las metástasis óseas son complicaciones frecuentes y a menudo desvastadoras de los pacientes con cáncer. Recientemente se han producido avances significativos en nuestra comprensión de los mecanismos moleculares responsables de metástasis tanto osteolíticas como osteoblásticas. El uso de las “OMICAS” y la disponibilidad de modelos animales preclínicos de metástasis óseas adecuados han permitido la identificación de los factores producidos por el tumor o por el estroma en respuesta al tumor. Este tipo de estudios deberían resultar en una disminución de las morbilidades esqueléticas graves asociadas con el cáncer de próstata metastásico y pueden en el futuro mejorar la supervivencia general. En esta revisión, se resumirá las dianas moleculares en las metástasis óseas de nueva generación (AU)

Bone metastases are a frequent and devastating complication in cancer patients. Recently, significant advances in our understanding of the molecular mechanisms responsible for both osteolytic and osteoblastic bone metastases have occurred. The use of OMICS and the availability of appropriate preclinical animal models of bone metastasis have permitted the identification of factors produced by the tumor or by the host stroma in response to the tumor. These types of studies should result in a decrease of the serious skeletal morbidities associated with metastatic prostate cancer and may in the future improve overall survival. In this review the next generation of molecular targets in bone metastasis will be summarized (AU)

Molecular diagnosis of endometrial cancer from uterine aspirates.

Rapid and reliable diagnosis of endometrial cancer (EC) in uterine aspirates is highly desirable. Current sensitivity and failure rate of histological diagnosis limit the success of this method and subsequent hysteroscopy is often necessary. Using quantitative reverse transcriptase-polymerase chain reaction on RNA from uterine aspirates samples, we measured the expression level of 20 previously identified genes involved in EC pathology, created five algorithms based on combinations of five genes and evaluated their ability to diagnose EC. The algorithms were tested in a prospective, double-blind, multicenter study. We enlisted 514 patients who presented with abnormal uterine bleeding. EC was diagnosed in 60 of the 514 patients (12%). Molecular analysis was performed on the remnants of aspirates and results were compared to the final histological diagnoses obtained through biopsies acquired by aspiration or guided by hysteroscopy, or from the specimens resected by hysterectomy. Algorithm 5 was the best performing molecular diagnostic classifier in the case-control and validation study. The molecular test had a sensitivity of 81%, specificity of 96%, positive predictive value (PPV) of 75% and negative predictive value (NPV) of 97%. A combination of the molecular and histological diagnosis had a sensitivity of 91%, specificity of 97%, PPV of 79% and NPV of 99% and the cases that could be diagnosed on uterine aspirate rose from 76 to 93% when combined with the molecular test. Incorporation of the molecular diagnosis increases the reliability of a negative diagnosis, reduces the need for hysteroscopies and helps to identify additional cases.

Metabolic syndrome increases the risk of aggressive prostate cancer detection.

UNLABELLED: WHAT'S KNOWN ON THE SUBJECT? AND WHAT DOES THE STUDY ADD?: Metabolic syndrome can identify patients at high risk of cardiovascular disease. The prevalence of metabolic syndrome is increasing worldwide and is associated with increased age, obesity and hypogonadism. The association between metabolic syndrome and prostate cancer development has not been studied comprehensively, and published studies report divergent results. This study indicates that tumours detected in men with metabolic syndrome are more aggressive than those detected in men without this condition. OBJECTIVE: To further examine the association between metabolic syndrome (MS), prostate cancer (PC) detection risk and tumour aggressiveness. PATIENTS AND METHODS: From 2006 to 2010, 2408 men not receiving 5α-reductase inhibitors were scheduled for prostatic biopsy due to PSA above 4 ng/mL and/or abnormal digital rectal examination. MS was evaluated according to the National Cholesterol Education Program Expert Panel on Detection, Evaluation and Treatment of High Blood Cholesterol in Adults, Adult Treatment Panel III definition. Tumour aggressiveness was evaluated through biopsy Gleason score, clinical stage and risk of biochemical recurrence after primary treatment. RESULTS: The rates of PC detection were 34.5% and 36.4% respectively in men with and without MS, P = 0.185. High grade PC rates (Gleason score 8-10) were 35.9% and 23.9% respectively, P < 0.001. The advanced disease rates (cT3-4 N0-1 M0-1) were 17% and 12.7% respectively, P = 0.841. The high risk PC rates (cT2c-4 or Gleason score 8-10 or PSA > 20) were 38.5% and 33.0% respectively, P = 0.581. Multivariate analysis confirmed that MS was not associated with the risk of PC detection but it was associated with an increased risk of high grade tumours (odds ratio 1.75, 95% CI 1.26-2.41), P < 0.001. CONCLUSION: MS seems not be associated with an increased risk of PC detection but it is associated with an increased risk of more aggressive tumours.

The EMT signaling pathways in endometrial carcinoma.

Endometrial cancer (EC) is the most common gynecologic malignancy of the female genital tract and the fourth most common neoplasia in women. In EC, myometrial invasion is considered one of the most important prognostic factors. For this process to occur, epithelial tumor cells need to undergo an epithelial to mesenchymal transition (EMT), either transiently or stably, and to differing degrees. This process has been extensively described in other types of cancer but has been poorly studied in EC. In this review, several features of EMT and the main molecular pathways responsible for triggering this process are investigated in relation to EC. The most common hallmarks of EMT have been found in EC, either at the level of E-cadherin loss or at the induction of its repressors, as well as other molecular alterations consistent with the mesenchymal phenotype-like L1CAM and BMI-1 up-regulation. Pathways including progesterone receptor, TGFß, ETV5 and microRNAs are deeply related to the EMT process in EC.

A logistic model for the detection of circulating tumour cells in human metastatic colorectal cancer.

The accuracy in the diagnosis of metastatic colorectal cancer (mCRC) represents one of the challenges in the clinical management of patients. The detection of circulating tumour cells (CTC) is becoming a promising alternative to current detection techniques, as it focuses on one of the players of the metastatic disease and it should provide with more specific and sensitive detection rates. Here, we describe an improved method of detection of CTC from mCRC patients by combining immune-enrichment, optimal purification of RNA from very low cell numbers, and the selection of accurate PCR probes. As a result, we obtained a logistic model that combines GAPDH and VIL1 normalized to CD45 rendering powerful results in the detection of CTC from mCRC patients (AUROC value 0.8599). We further demonstrated the utility of this model at the clinical setting, as a reliable prognosis tool to determine progression-free survival in mCRC patients. Overall, we developed a strategy that ameliorates the specificity and sensitivity in the detection of CTC, resulting in a robust and promising logistic model for the clinical management of metastatic colorectal cancer patients.

ETV5 transcription factor is overexpressed in ovarian cancer and regulates cell adhesion in ovarian cancer cells.

Epithelial ovarian cancer is the most lethal gynecological malignancy and the fifth leading cause of cancer deaths in women in the Western world. ETS transcription factors are known to act as positive or negative regulators of the expression of genes that are involved in various biological processes, including those that control cellular proliferation, differentiation, apoptosis, tissue remodeling, angiogenesis and transformation. ETV5 belongs to the PEA3 subfamily. PEA3 subfamily members are able to activate the transcription of proteases, matrix metalloproteinases and tissue inhibitor of metalloproteases, which is central to both tumor invasion and angiogenesis. Here, we examined the role of the ETV5 transcription factor in epithelial ovarian cancer and we found ETV5 was upregulated in ovarian tumor samples compared to ovarian tissue controls. The in vitro inhibition of ETV5 decreased cell proliferation in serum-deprived conditions, induced EMT and cell migration and decreased cell adhesion to extracellular matrix components. ETV5 inhibition also decreased cell-cell adhesion and induced apoptosis in anchorage-independent conditions. Accordingly, upregulation of ETV5 induced the expression of cell adhesion molecules and enhanced cell survival in a spheroid model. Our findings suggest that the overexpression of ETV5 detected in ovarian cancer cells may contribute to ovarian tumor progression through the ability of ETV5 to enhance proliferation of ovarian cancer cells. In addition, upregulation of ETV5 would play a role in ovarian cancer cell dissemination and metastasis into the peritoneal cavity by protecting ovarian cancer cells from apoptosis and by increasing the adhesion of ovarian cancer cells to the peritoneal wall through the regulation of cell adhesion molecules.

Regional distribution of neuroendocrine cells in the urogenital duct system of the male rat.

BACKGROUND: Neuroendocrine (NE) cells are frequently present in the human prostate and urethra, whereas they are lacking in the other urogenital organs. This study was undertaken as there are only few detailed studies available on the distribution, form and function of NE cells and the structure of excretory ducts of the accessory sex organs in the male rat. METHODS: Systematic gross anatomical dissections were combined with immunohistochemical and electron microscopic studies of the excretory ducts of the urogenital glands in male rats, with particular focus on the distribution and ultrastructure of the NE cells. RESULTS: The topography and structure of the excretory ducts of the different glands were characterized in detail and analyzed for the distribution of NE cells. These are present (in falling frequencies) in the ducts of seminal vesicles and ventral and lateral prostate and are rare in ducts of coagulating gland, dorsal prostate, urethral epithelium, and excretory ducts of the (bulbo) urethral glands. They are absent in the respective glands proper, the deferent duct and ejaculatory ampulla. Approximately 40% of the NE cells of the ventral prostate ducts are of the "open" type, whereas these are less frequent (14%) in the seminal vesicle ducts, where the "closed" type prevails. CONCLUSIONS: NE cells are present in unequal quantities in the excretory ducts of the accessory sex glands, but they are absent in the glands proper and the deferent ducts. This distribution pattern points to a strictly localized function and differentiation potency of NE precursor cells.

Generation and characterization of orthotopic murine models for endometrial cancer.

We describe the generation of two orthotopic murine models for endometrial cancer (EC).The first model is generated from endometrial Hec-1A cancer cells transfected with luciferase and injected directly into the uterus of female mice. This model allows a follow-up with bioluminescence imaging (BLI) along the experiment and generates abdominal dissemination and lymphatic and hematogenous metastases in high percentages, also detectables with BLI. The dissemination pattern of this model imitates the advanced stages of EC in patients, and its molecular profile corresponds to aggressive type 2 EC (p53 positive, hormone receptors negative, high percentage of Ki67 positive cells). The second model is derived from endometrioid human tissue collected from surgical pieces. By injecting this tissue inside the uterine cavity of a mouse we obtain orthotopic growth with pelvic dissemination and lymph node metastasis. The molecular pattern observed in human type 1 endometrioid EC (p53 negative, low Ki67 index, presence of hormone receptors) is conserved after the murine growth in orthotopic tumor and metastases. This model supposes a singular pre-clinical tool to study therapeutic agents, though it mimics clinical and molecular behavior of endometrioid EC, which is the most common histology in the patient.

Molecular bases of endometrial cancer: new roles for new actors in the diagnosis and the therapy of the disease.

Endometrial carcinoma (EC) is the most commonly diagnosed gynecologic malignancy in the western world. The majority of these cancers are curable, but a subset about 15-20% of endometrial tumors exhibits an aggressive phenotype. Based on clinic-pathological and molecular characteristics, EC has been classified into two groups: Type I estrogen-dependent adenocarcinomas, which have a good prognosis and an endometrioid histology, and Type II or non-estrogen-dependent EC associated with poor prognosis and non-endometrioid histology. EC develops as a result of a stepwise accumulation of alterations that seem to be specific of each histological type. However, more knowledge is needed to better understand the differences in the biology and the clinical outcome of EC. We would like to highlight the need to explore new potential biomarkers of EC as a tool for the detection and monitoring of aggressive endometrial tumors that, at the same time, will allow us to develop novel and more selective molecular targeted therapies against EC.

A three-gene panel on urine increases PSA specificity in the detection of prostate cancer.

BACKGROUND: Several studies have demonstrated the usefulness of monitoring an RNA transcript, such as PCA3, in post-prostate massage (PM) urine for increasing the specificity of prostate-specific antigen (PSA) in the detection of prostate cancer (PCa). However, a single marker may not necessarily reflect the multifactorial nature of PCa. METHODS: We analyzed post-PM urine samples from 154 consecutive patients, who presented for prostate biopsies because of elevated serum PSA (>4 ng/ml) and/or abnormal digital rectal exam. We tested whether the putative PCa biomarkers PSMA, PSGR, and PCA3 could be detected by quantitative real-time PCR in post-PM urine sediment. We combined these findings to test if a combination of these biomarkers could improve the specificity of actual diagnosis. Afterwards, we specifically tested our model for clinical usefulness in the PSA diagnostic "gray zone" (4-10 ng/ml) on a target subset of 82 men with no prior biopsy. RESULTS: By univariate analysis, we found that the PSMA, PSGR, and PCA3 scores were significant predictors of PCa. Using a multiplex model, the area under the multi receiver-operating characteristic curve was 0.74 versus 0.82 in the diagnostic "gray zone." Fixing the sensitivity at 96%, we obtained a specificity of 34% and 50% in the gray zone. CONCLUSIONS: Taken together, these results provide a strategy for the development of a more accurate model for PCa diagnosis. In the future, a multiplexed, urine-based diagnostic test for PCa with a higher specificity, but the same sensitivity as the serum-PSA test, could be used to determine better which patients should undergo biopsy.

Molecular markers of endometrial carcinoma detected in uterine aspirates.

Endometrial cancer (EC) is the most frequent of the invasive tumors of the female genital tract. Although usually detected in its initial stages, a 20% of the patients present with advanced disease. To date, no characterized molecular marker has been validated for the diagnosis of EC. In addition, new methods for prognosis and classification of EC are needed to combat this deadly disease. We thus aimed to identify new molecular markers of EC and to evaluate their validity on endometrial aspirates. Gene expression screening on 52 carcinoma samples and series of real-time quantitative PCR validation on 19 paired carcinomas and normal tissue samples and on 50 carcinoma and noncarcinoma uterine aspirates were performed to identify and validate potential biomarkers of EC. Candidate markers were further confirmed at the protein level by immunohistochemistry and Western blot. We identified ACAA1, AP1M2, CGN, DDR1, EPS8L2, FASTKD1, GMIP, IKBKE, P2RX4, P4HB, PHKG2, PPFIBP2, PPP1R16A, RASSF7, RNF183, SIRT6, TJP3, EFEMP2, SOCS2 and DCN as differentially expressed in ECs. Furthermore, the differential expression of these biomarkers in primary endometrial tumors is correlated to their expression level in corresponding uterine fluid samples. Finally, these biomarkers significantly identified EC with area under the receiver-operating-characteristic values ranging from 0.74 to 0.95 in uterine aspirates. Interestingly, analogous values were found among initial stages. We present the discovery of molecular biomarkers of EC and describe their utility in uterine aspirates. These findings represent the basis for the development of a highly sensitive and specific minimally invasive method for screening ECs.