Genome-wide gene expression profiles of primary prostate cancer
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE141551 | GEO | 2019/12/06
REPOSITORIES: GEO
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Project description:The identification of biomarkers indicating the level of aggressiveness of prostate cancer (PCa) addresses an urgent clinical need to minimize the general over-treatment of patients with non-aggressive PCa, which account for the majority of PCa cases. In this study we combined N-glycopeptide isolation and SWATH-MS towards the molecular characterization of tumor malignancy and aggressiveness. Here, we isolated formerly N-linked glycopeptides from normal prostate (n=10), non-aggressive (n=22), aggressive (n=16) and metastatic PCa (n=25) tumor tissues and analyzed the samples by SWATH-MS, an emerging data independent mass spectrometric acquisition method that generates a single MS file containing fragment ion spectra of all ionized species of a sample. The resulting datasets were searched using a targeted data analysis strategy where a priori spectral reference library representing known N-glycosites of the human proteome was used to identify groups of signals in the SWATH-MS data. On-average we identified 1430 N-glycosites from each SWATH map of which 1057 were quantified across all samples. The 220 glycoproteins that showed significant quantitative changes associated diverse biological processes with the level of PCa aggressiveness and metastasis and indicated functional relationships with common PCa genomic mutations.
2014-04-23 | PXD000704 | Pride
Project description:Prostate cancer (PCa) is the second most prevalent malignancy in Western countries and the fifth leading cause of cancer-related death in men. The risk factors for PCa include obesity, age, and family history. Visceral fat has been linked to PCa risk, which has prompted researchers to investigate the influence of body composition and fat distribution on PCa prognosis. This study investigated the correlation between the composition of pelvic adipose tissue (PAT) and PCa aggressiveness to understand the role played by this tissue in PCa progression. Moreover, we prepared a periprostatic adipose tissue (PPAT)-conditioned medium (CM) to determine the influence of the PPAT secretome on the pathophysiology of PCa. This study included 60 patients with localized PCa who received robot-assisted radical prostatectomy. Medical records were collected, and magnetic resonance imaging scans were analyzed, and body compositions were calculated to identify the correlations between adipose tissue volume and clinical PCa aggressiveness. CM was prepared using PPAT and perivesical adipose tissue (PVAT) collected from 25 patients during surgery, and its influence was investigated using the PCa cell lines C4-2 and LNCaP and the prostate epithelial cell line PZ-HPV-7. Cell proliferation assays and RNA sequencing were performed. The initial prostate-specific antigen level was significantly correlated with pelvic and perirectal adipose tissue volumes. PPAT volume was significantly higher in patients with extracapsular tumor extension. PCa cells proliferated was significantly slower when cultured in PPAT-CM compared with when cultured in control- and PVAT-CM. RNA sequencing revealed that immune responses and the cell death and apoptosis pathways were enriched in PPAT-CM-cultured cells. The cytokines or other secreted factors in PPAT-CM induced PCa cell apoptosis. This in vitro study revealed that the PPAT secretome inhibits PCa cells proliferation by activating immune responses and promoting cancer cell apoptosis. This mechanism may act as a first-line defense during the early stages of PCa.
2024-05-15 | GSE267084 | GEO
Project description:Medulloblastoma (MB) is the most common pediatric brain tumor and is an aggressive neoplasia arising in the cerebellum. MB includes four major histological subsets commonly subdivided in: classic, desmoplastic, anaplastic or large-cell, and nodular. The current patients risk stratification is based on the age at diagnosis (> or < 3 years at diagnosis), the extent of residual tumor mass post-operative, and disease dissemination. An average risk is assigned to patients older than 3 years of age with minimal or no tumor residual. These patients are more than 60% of overall MBs and have an overall survival between 50-70% at 5 years. It is widely accepted that tumor aggressiveness and progression depend on genetic abnormalities. We performed the genome-wide study, focused on classic MB belonging to pediatric patients at standard risk. We analyzed 31 MB samples using high resolution oligonucleotide Human Genome CGH 244K (Agilent Technologies). The present study may help to identify novel molecular prognostic markers useful to refining current criteria of patientsM-BM-4 relapse risk estimation in this subgroup of patients. We analyzed 31 samples of classic medulloblastoma from patients older than 3 years of age at diagnosis
2011-01-01 | E-GEOD-23005 | biostudies-arrayexpress
Project description:Accurate estimation of recurrence risk is needed for optimal treatment of clinically localized prostate cancer (PCa) patients. We combined classical clinicopathological predictors of biochemical recurrence (BCR) and molecular markers into a new risk score for predicting BCR after radical prostatectomy (RP). A retrospective study which included 122 PCa patients who attended our department between 2000 and 2007 was conducted. Total RNA was isolated from formalin-fixed paraffin embedded PCa tissue. Gene expression patterns were analyzed in 21 selected samples from 7 localized, 6 locally advanced, and 8 metastatic PCa patients using Illumina microarrays. Expression levels of 41 genes were validated by quantitative PCR in an independent retrospective series of 101 patients with ≥ 10 years follow-up who underwent RP for clinically localized PCa. Univariate and multivariate logistic regression analysis were used to identify individual predictors of BCR. A risk score (RS) for predicting BCR including clinicopathological and gene expression data was developed and Kaplan-Meier curves were generated. Interaction networks between the genes of the model were built by GeneMANIA Cytoscape plugin. In a median follow-up of 120 months (range 3-190), 37 patients developed BCR (36.6%). Expression levels of 7,930 transcripts differed between clinically localized and locally advanced-metastatic PCa groups (FDR<0.1). A set of 41 genes were validated by quantitative PCR. Regression analysis showed that expression of ASF1B and MCL1 as well as Gleason score, extracapsular extension, seminal vesicle invasion and positive margins were independent prognostic factors of BCR. A RS generated using these gene expression and clinicopathological variables was able to discriminate between two groups of patients with a significantly different probability of BCR (HR 6.24; CI 3.23-12.4, p<0.01), improving the individual discriminative performance of each of these variables on their own. Direct interactions between the two genes of the model were not found. In conclusion, identification of new gene expression patterns associated with a high probability of BCR in clinically localized PCa patients treated with RP, and their combination with clinicopathological variables in a robust, easy-to-use and reliable classifier may contribute to improve PCa risk stratification and, consequently, to tailor treatment and surveillance strategies in these patients.
2024-04-23 | GSE149226 | GEO
Project description:Background: Aldo-keto reductase (AKR) 1C family member 3 (AKR1C3), one of four identified human AKR enzymes, catalyzes steroid, prostaglandin, and xenobiotic metabolism. In the prostate, AKR1C3 is up-regulated in localized and advanced prostate adenocarcinoma, and is associated with prostate cancer (PCa) aggressiveness. Here we provide initial evidence for potential roles of AKR1C3 in PCa progression. Methods: Spatial distribution of AKR1C3 was analyzed using immunohistochemical staining in prostate adenocarcinoma tissue array. Human PCa PC-3 cells were stably transfected with AKR1C3 cDNA to establish PC3-AKR1C3 transfectants. Microarray and bioinformatics analyses were performed to identify pathways that are activated by elevated AKR1C3 expression in PCa cells. Functional confirmation of microarray and bioinformatics results was performed by immunoblot analysis and an in vitro Matrigel angiogenesis assay. Results: Elevated AKR1C3 expression was specifically limited to human prostate adenocarcinoma. Microarray and bioinformatics analysis suggested that elevated AKR1C3 expression in PC-3 cells modulates estradiol and androgen metabolism and activates insulin growth factor (IGF)-1 and Akt signaling pathways. Immunoblots confirmed that phosphorylated levels of IGF-1 receptor (IGF-1R) and Akt are significantly up-regulated in PC3-AKR1C3 as compared to mock transfectants. PC3-AKR1C3 transfectants promoted endothelial cell tube formation in Matrigel as compared to parental PC-3 cells and mock transfectants. Conclusion: Microarray and bioinformatics data followed by biological analyses suggest that elevated AKR1C3 expression in PC-3 cells promotes PCa angiogenesis and aggressiveness. These results suggest AKR1C3 can promote the aggressiveness of PCa through modulating estrogen and androgen metabolism with subsequent activation of growth factor IGF-1 and cytoplasmic Akt signaling pathways. Total RNA from mock- and ACR1C3 transfected PC-3 cells was isolated, with 2 or 3 biological replicates each. Gene expression data from AKR1C3 transfected PC-3 cells were compared with mock-transfected data.
2010-08-10 | E-GEOD-20956 | biostudies-arrayexpress
Project description:Medulloblastoma (MB) is the most common pediatric brain tumor and is an aggressive neoplasia arising in the cerebellum. MB includes four major histological subsets commonly subdivided in: classic, desmoplastic, anaplastic or large-cell, and nodular. The current patients risk stratification is based on the age at diagnosis (> or < 3 years at diagnosis), the extent of residual tumor mass post-operative, and disease dissemination. An average risk is assigned to patients older than 3 years of age with minimal or no tumor residual. These patients are more than 60% of overall MBs and have an overall survival between 50-70% at 5 years. It is widely accepted that tumor aggressiveness and progression depend on genetic abnormalities. We performed the genome-wide study, focused on classic MB belonging to pediatric patients at standard risk. We analyzed 31 MB samples using high resolution oligonucleotide Human Genome CGH 244K (Agilent Technologies). The present study may help to identify novel molecular prognostic markers useful to refining current criteria of patients´ relapse risk estimation in this subgroup of patients.
2011-01-01 | GSE23005 | GEO
Project description:Treatment-induced neuroendocrine transdifferentiation (NEtD) complicates therapies for metastatic prostate cancer (PCa). We propose that NEtD requires first an intermediary reprogramming to metastable cancer stem-like cells (CSCs) and showed that AR+/PSA+ PCa cell lines were efficiently reprogrammed to and maintained as CSCs by growth in androgen-free neural/neural crest (N/NC) stem medium. Such reprogrammed CSCs overexpressed stem genes, had features of N/NC stem cells, high tumor-initiating potential, resistance to anti-androgen and an EMT phenotype. Serum-containing mediums allowed re-differentiation to N-/NC-derived cell lineages or return back to PCa-like cancer cells. Once returned, the cells had increased resistance to androgen signaling inhibition. Finally, a 62-gene signature derived from reprogrammed PCa cell lines distinguished tumors from PCa patients with adverse outcomes. Gene expression profiles were obtained for RNAs extracted from biological replicates of parental LNCaP cells or from Neuroendocrine-like LNCaP (LNCaP-NE) cells grown for 15 days in CSS-media with no androgen.
2016-03-11 | E-GEOD-66851 | biostudies-arrayexpress
Project description:Treatment-induced neuroendocrine transdifferentiation (NEtD) complicates therapies for metastatic prostate cancer (PCa). We propose that NEtD requires first an intermediary reprogramming to metastable cancer stem-like cells (CSCs) and showed that AR+/PSA+ PCa cell lines were efficiently reprogrammed to and maintained as CSCs by growth in androgen-free neural/neural crest (N/NC) stem medium. Such reprogrammed CSCs overexpressed stem genes, had features of N/NC stem cells, high tumor-initiating potential, resistance to anti-androgen and an EMT phenotype. Serum-containing mediums allowed re-differentiation to N-/NC-derived cell lineages or return back to PCa-like cancer cells. Once returned, the cells had increased resistance to androgen signaling inhibition. Finally, a 62-gene signature derived from reprogrammed PCa cell lines distinguished tumors from PCa patients with adverse outcomes. To compare gene expression between parental PCa cells and STM-reprogrammed cells (LNCaP, VCaP, CWR-22rv1 and LAPC4), RNAs from biological triplicate samples of parental cells and corresponding STM-reprogrammed cells (>14 days in STM) were extracted.
2016-03-11 | E-GEOD-66850 | biostudies-arrayexpress
Project description:Background: Aldo-keto reductase (AKR) 1C family member 3 (AKR1C3), one of four identified human AKR enzymes, catalyzes steroid, prostaglandin, and xenobiotic metabolism. In the prostate, AKR1C3 is up-regulated in localized and advanced prostate adenocarcinoma, and is associated with prostate cancer (PCa) aggressiveness. Here we provide initial evidence for potential roles of AKR1C3 in PCa progression. Methods: Spatial distribution of AKR1C3 was analyzed using immunohistochemical staining in prostate adenocarcinoma tissue array. Human PCa PC-3 cells were stably transfected with AKR1C3 cDNA to establish PC3-AKR1C3 transfectants. Microarray and bioinformatics analyses were performed to identify pathways that are activated by elevated AKR1C3 expression in PCa cells. Functional confirmation of microarray and bioinformatics results was performed by immunoblot analysis and an in vitro Matrigel angiogenesis assay. Results: Elevated AKR1C3 expression was specifically limited to human prostate adenocarcinoma. Microarray and bioinformatics analysis suggested that elevated AKR1C3 expression in PC-3 cells modulates estradiol and androgen metabolism and activates insulin growth factor (IGF)-1 and Akt signaling pathways. Immunoblots confirmed that phosphorylated levels of IGF-1 receptor (IGF-1R) and Akt are significantly up-regulated in PC3-AKR1C3 as compared to mock transfectants. PC3-AKR1C3 transfectants promoted endothelial cell tube formation in Matrigel as compared to parental PC-3 cells and mock transfectants. Conclusion: Microarray and bioinformatics data followed by biological analyses suggest that elevated AKR1C3 expression in PC-3 cells promotes PCa angiogenesis and aggressiveness. These results suggest AKR1C3 can promote the aggressiveness of PCa through modulating estrogen and androgen metabolism with subsequent activation of growth factor IGF-1 and cytoplasmic Akt signaling pathways.
2010-08-10 | GSE20956 | GEO
Project description:Men with African ancestry have the highest incidence and mortality rates of prostate cancer (PCa) worldwide. This study aimed to identify differentially methylated genes between tumor vs. adjacent normal and aggressive vs. indolent PCa in 121 African American patients. Epigenome-wide DNA methylation patterns in tumor DNA were assessed using the human Illumina Methylation EPIC V1 array. Around 5,139 differentially methylated CpG-sites (q<0.01, lΔβl>0.2) were identified when comparing normal vs. tumor, with an overall trend of hypermethylation in prostate tumors. Multiple representatives differentially methylated regions (DMRs), including immune-related genes, such as CD40, Galectin3, OX40L, and STING, were detected in prostate tumors when compared to adjacent normal tissues. Based on an epigenetic clock model, we observed that tumors' total number of stem cell divisions and the stem cell division rate were significantly higher than adjacent normal tissues. Regarding aggressiveness, 2,061 differentially methylated CpG-sites (q<0.05, lΔβl>0.05) were identified when the grade group (GG)1 was compared with GG4/5. Among these 2,061 CpG sites, 155 probes were consistently significant in more than one comparison. Among these genes, several immune system genes, such as COL18A1, S100A2, ITGA4, HLA-C, and ADCYAP1, have previously been linked to tumor progression in PCa. Several differentially methylated genes involved in immune-oncologic pathways associated with disease risk or aggressiveness were identified. In addition, 261 African American-specific differentially methylated genes related to the risk of PCa were identified. These results can shed light on potential mechanisms contributing to PCa disparities in the African American population.
2024-08-01 | GSE269244 | GEO