Molecular characterizaion of neuroendocrine-like bladder cancer
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ABSTRACT:
PROVIDER: PRJNA528581 | ENA |
REPOSITORIES: ENA
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Project description:Neuroendocrine bladder cancer is an aggressive variant of bladder cancer with significant metastatic potential and high risk of mortality. Diagnosis of these tumors is currently dependent on morphological criteria and staining for neuroendocrine markers. Using machine learning and multiple validation cohorts in different clinical settings, we developed a model that identifies tumors with transcriptomic profiles consistent with NE bladder cancers with an absence of NE features by morphological criteria. Early and accurate identification of these patients by genomic analysis may improve outcomes through treatment intensification and adaptation of standard treatment regimens.
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Project description:MicroRNAs play an important role in the pathogenesis of different types of cancer including bladder cancer. MiR-21 has been identified to have an oncogenic function, while its inhibition suppresses tumor growth. Here, we followed an integrated bioinformatics and molecular analyses to identify the molecular mediators of miR-21 oncogenic function in bladder cancer and evaluate the therapeutic potential of a chemically-modified miR-21 inhibitor in bladder xenografts. MiR-21 expression was found to up-regulated in human bladder cancers relative to normal tissues and miR-21 inhibition suppressed bladder cancer cell properties, including growth, invasiveness and anchorage-independence. Intravenous administration of an antisense oligonucleotide against miR-21 harboring locked-nucleic-acid (LNA-miR-21) modifications blocked bladder tumor growth in vivo. Transcriptomic analysis of 28 bladder cancer cell lines revealed a gene signature that negatively correlated with miR-21 expression levels. Bioinformatics and 3’UTR luciferase assay analyses revealed a direct interaction between miR-21 the 3’UTR of PPP2R2A gene. Inhibition of PPP2R2A expression induced bladder cancer growth, suggesting its tumor suppressor function. Gene profiling followed by IPA network analysis revealed that PPP2R2A regulates the ERK1/2 molecular network. Taken together, PPP2R2A is the functional mediator of miR-21 oncogenic activity on bladder cancer and LNA-miR-21 could have a therapeutic potential in bladder cancer patients.
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Project description:Neuroendocrine prostate cancer models
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Project description:Previous studies successfully revealed molecular characteristics of bladder cancers, dealing with non-muscle invasive bladder cancer and muscle invasive bladder cancer, separately. At the molecular level, however, there is a great need to aggregate these subtypes, which may share biological characteristics. This study aimed to identify distinct molecular subtypes of BC and the clinical and/or biological characteristics of each subtype. We used seven gene expression data sets for bladder cancer, which included data from 118 primary bladder cancer samples and 27 recurrent bladder tumor tissues from the Yonsei University Severance Hospital. Hierarchical clustering revealed four molecular subtypes of BC with different clinical outcomes: class 1 with low-grade NMIBC and the best prognosis; class 2 characterized by active FGFR3 and inhibited immune response pathways; class 3 with high-grade NMIBC and the worst progression-free survival; and class 4 mainly comprised of MIBC along with EMT activation. By applying the classifier based on these characteristics, we stratified all BC samples into newly identified molecular subtypes. When comparing previously reported subtypes, our subtypes well agreed with their molecular characteristics regardless of breast cancer-based biology, and showed a strong prognostic relevance in class 3. Integrative analysis of mutation and gene expression suggested that class 3 may have the potential benefit from anti-PD-L1 immunotherapy. Our classifier, constructed by NMIBC and MIBC integration, successfully stratified BC patients into distinct subtypes with different clinical outcomes and a possible treatment option.
2018-10-03 | GSE120736 | GEO
Project description:Bladder cancer (BCa) is one of the most common malignancy of the urinary tract. In order to improve the diagnosis, prevention and treatment of BCa, the details of molecular mechanisms underlying the tumorigenesis and development needs to be clarified. Results provide insight into molecular mechanisms underlying the mRNA and miRNA interactions in BCa. 3 human bladder cancer tissues and 3 normal bladder tissues were analyzed using microarray. The alteration of mRNA and miRNA expression between the 2 groups were detected.
2017-02-22 | GSE76211 | GEO
Project description:Patients with bladder cancer need frequent controls over long follow-up time due to high recurrence rate and risk of conversion to muscle invasive cancer with poor prognosis. We identified cancer-related molecular signatures in apparently healthy bladder in patients with subsequent muscular invasiveness during follow-up. Global proteomics of the normal tissue biopsies revealed specific proteome fingerprints in these patients prior to subsequent muscular invasiveness. In these presumed normal samples, we detected modulations of proteins previously associated with different cancer types. This study indicates that analyzing apparently healthy tissue of a cancer-invaded organ may predict disease progression.
2018-10-26 | PXD010260 | Pride
Project description:At diagnosis approximately 75% of bladder urothelial carcinomas are non muscle invasive bladder cancers (Ta, T1 and Tis), 20% are muscle invasive bladder cancer (T2-T4) and 5% are already metastatic. Non muscle invasive bladder cancers are characterized by tumor recurrence in 60% to 85% of cases and, therefore, long-term followup is needed. The current standard methods to detect and monitor bladder cancer are cystoscopy and cytology. Cystoscopy is an invasive method and cytology is hampered by low sensitivity, especially for low grade tumors. So there is need to develop reliable and noninvasive methods to detect and predict bladder cancer biological behavior. So we have performed high density oligonucleotide microarray for discovery of new molecular markers to diagnose and predict the outcome of bladder cancer. Under an ethical guideline of Chhatrapati Shahuji Maharaj Medical University, India histologically confirmed seven bladder cancer patients were recruited from Department of Urology, Chhatrapati Shahuji Maharaj Medical University, Lucknow, India. Total RNA was extracted from tumor biopsies and hybridized on affymetrix Human Gene ST 1.1 array to determine differentially expressed genes in urinary bladder cancer with muscle invasion in comparison of normal human urinary bladder.
2012-02-22 | E-GEOD-23732 | biostudies-arrayexpress
Project description:In this study we applied differential gene expression analysis to exfoliated human urothelia obtained from patients of known bladder disease status. Selected targets from the microarray data were validated in an independent set of samples using a quantitative PCR approach. Total RNA was extracted from 52 samples of human urothelial cancer cells (C) and from 40 samples of human non-cancer (NC) urothelial cells. Fragmented, biotinylated cRNA was hybridized to Affymetrix Human Genome U133 Plus 2.0 microarrays.
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