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Showing papers by "Jaume Reventós published in 2014"


Journal ArticleDOI
TL;DR: In this paper, the presence and phenotypic features of Circulating Tumor Cells (CTC) in high-risk endometrial cancer patients were investigated in the framework of the European Network for Individualized Treatment in EC (ENITEC), and the results indicated a remarkable plasticity phenotype defined by the expression of the EMT markers ETV5, NOTCH1, SNAI1, TGFB1, ZEB1 and ZEB2.
Abstract: Background: About 20% of patients diagnosed with endometrial cancer (EC) are considered high-risk with unfavorable prognosis. In the framework of the European Network for Individualized Treatment in EC (ENITEC), we investigated the presence and phenotypic features of Circulating Tumor Cells (CTC) in high-risk EC patients. Methods: CTC isolation was carried out in peripheral blood samples from 34 patients, ranging from Grade 3 Stage IB to Stage IV carcinomas and recurrences, and 27 healthy controls using two methodologies. Samples were subjected to EpCAM-based immunoisolation using the CELLection™ Epithelial Enrich kit (Invitrogen, Dynal) followed by RTqPCR analysis. The phenotypic determinants of endometrial CTC in terms of pathogenesis, hormone receptor pathways, stem cell markers and epithelial to mesenchymal transition (EMT) drivers were asked. Kruskal-Wallis analysis followed by Dunn’s post-test was used for comparisons between groups. Statistical significance was set at p < 0.05. Results: EpCAM-based immunoisolation positively detected CTC in high-risk endometrial cancer patients. CTC characterization indicated a remarkable plasticity phenotype defined by the expression of the EMT markers ETV5, NOTCH1, SNAI1, TGFB1, ZEB1 and ZEB2. In addition, the expression of ALDH and CD44 pointed to an association with stemness, while the expression of CTNNB1, STS, GDF15, RELA, RUNX1, BRAF and PIK3CA suggested potential therapeutic targets. We further recapitulated the EMT phenotype found in endometrial CTC through the up-regulation of ETV5 in an EC cell line, and validated in an animal model of systemic dissemination the propensity of these CTC in the accomplishment of metastasis. Conclusions: Our results associate the presence of CTC with high-risk EC. Gene-expression profiling characterized a CTC-plasticity phenotype with stemness and EMT features. We finally recapitulated this CTC-phenotype by over-expressing ETV5 in the EC cell line Hec1A and demonstrated an advantage in the promotion of metastasis in an in vivo mouse model of CTC dissemination and homing.

89 citations


Journal ArticleDOI
TL;DR: The current evidence examining the role of miRNAs as biomarkers of response and survival to therapy in OC is summarized and important differences between studies that may have limited their use as clinical biomarkers are discussed.

29 citations


Journal ArticleDOI
TL;DR: A disturbing increase in the HGPCa rate was observed in statin users who normalized their serum cholesterol, suggesting that statin treatment may prevent PCa detection through serum cholesterol-mediated mechanisms.
Abstract: 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). 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.

28 citations


Journal ArticleDOI
TL;DR: An internally and externally validated 9-protein biomarker signature is proposed to predict the histologic type of EC (EEC or SC) by IHC and suggests that mixed EEC-SC is molecularly ambiguous.

20 citations


Journal ArticleDOI
01 May 2014-BJUI
TL;DR: 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, a large number of animals were vaccinated against PCa.
Abstract: 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.

19 citations


Journal ArticleDOI
TL;DR: In men who met criteria for prostate biopsy an association between sedentary and overweight exist, and a sedentary lifestyle is associated with increased risk of PC detection while sedentaryand overweight were associated with more aggressive tumors.
Abstract: Objective To analyze the influence of sedentary (SE) and overweight (OW) in the risk of prostate cancer detection (CP) and aggressiveness. Materials and methods We performed prostate biopsy (PB) to 2408 consecutive male, 5 ARIs untreated, because of elevated serum PSA above 4.0 ng/mL (91%) or suspicious digital rectal examination (9%). In all ultrasound guided PB, 10 cores were obtained plus 2–8 additionals, according to age and prostate volume. Physical activity was assessed using a survey (SE vs. non-SE) and calculated body mass index (normal vs. OW > 25 kg/cm2). The tumor aggressiveness was evaluated according to the Gleason score (high grade «HG»: Gleason > 7) and D’Amico risk (high risk «HR»: T > 3a or PSA > 20 or Gleason score > 7). Results We found a significant association between SE (52.5%) and OW (72.9%); p Conclusions In men who met criteria for prostate biopsy an association between sedentary and overweight exist. A sedentary lifestyle is associated with increased risk of PC detection while sedentary and overweight were associated with more aggressive tumors.

17 citations


Journal ArticleDOI
01 Jan 2014-Oncology
TL;DR: An overview of the current knowledge of p53 pathway distortions in patients with uterine CSs is given, supporting the monoclonal nature of most but not all of these neoplasms.
Abstract: Carcinosarcomas (CSs; malignant mixed Mullerian tumors) of the uterus are highly malignant neoplasms characterized by an unfavorable outcome. They represent less than 5% of all uterine malignancies, and the median patient survival rate is only 21 months. p53 pathway alterations have been studied in CSs originating from the uterus, supporting the monoclonal nature of most but not all of these neoplasms. This paper gives an overview of the current knowledge of p53 pathway distortions in patients with uterine CSs. The survival of patients with uterine CSs in relation to p53 pathway alterations is also briefly summarized.

10 citations


Journal ArticleDOI
TL;DR: In this article, a breast cancer GWAS dataset identified significant overlaps with complex (non-linear) gene co-expression in breast tumors, showing functional interplay between lipoma-preferred partner and transforming growth factorβ signaling in the MCF10A non-tumorigenic mammary epithelial cell model.
Abstract: Dozens of common genetic variants associated with cancer risk have been identified through genome-wide association studies (GWASs). However, these variants only explain a modest fraction of the heritability of disease. The missing heritability has been attributed to several factors, among them the existence of genetic interactions (G × G). Systematic screens for G × G in model organisms have revealed their fundamental influence in complex phenotypes. In this scenario, G × G overlap significantly with other types of gene and/or protein relationships. Here, by integrating predicted G × G from GWAS data and complex- and context-defined gene coexpression profiles, we provide evidence for G × G associated with cancer risk. G × G predicted from a breast cancer GWAS dataset identified significant overlaps [relative enrichments (REs) of 8-36%, empirical P values < 0.05 to 10(-4)] with complex (non-linear) gene coexpression in breast tumors. The use of gene or protein data not specific for breast cancer did not reveal overlaps. According to the predicted G × G, experimental assays demonstrated functional interplay between lipoma-preferred partner and transforming growth factor-β signaling in the MCF10A non-tumorigenic mammary epithelial cell model. Next, integration of pancreatic tumor gene expression profiles with pancreatic cancer G × G predicted from a GWAS corroborated the observations made for breast cancer risk (REs of 25-59%). The method presented here can potentially support the identification of genetic interactions associated with cancer risk, providing novel mechanistic hypotheses for carcinogenesis.

2 citations