Integrative metabolomic and transcriptomic analysis for the non-invasive study of bladder cancer
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PROVIDER: PRJNA498202 | ENA |
REPOSITORIES: ENA
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Project description:In this study has been carried out an integrative metabolomic and transcriptomic analysis of tumoral and non-tumoral bladder tissues using exactly the same samples to determine the possible links between metabolism and gene expression in this tumoral context.
2019-06-19 | GSE121711 | GEO
Project description:Integrative Transcriptomic, Lipidomic, and Metabolomic Analysis Reveals Potential Biomarkers of Basal and Luminal Muscle Invasive Bladder Cancer Subtypes
| PRJNA743809 | ENA
Project description:Muscle invasive bladder cancer (MIBC) is a heterogeneous disease with a high recurrence rate and poor clinical outcomes. Molecular subtype provides a new framework for the study of MIBC heterogeneity. Clinically, MIBC can be classified as basal and luminal subtypes, they display different clinical and pathological characteristics, but the molecular mechanism is still unclear. Lipidomic and metabolomic molecules have recently been considered to play an important role in the genesis and development of tumors, especially as potential biomarkers. Their different expression profiles in basal and luminal subtypes provide clues for the molecular mechanism of basal and luminal subtypes and the discovery of new biomarkers. Herein, we stratified MIBC patients into basal and luminal subtype using a MIBC classifier based on transcriptome expression profiles. We qualitatively and quantitatively analyzed the lipids and metabolites of basal and luminal MIBC subtypes, and identified differential lipid and metabolite profiles of them. Our results suggest that free fatty acids (FFA) and sulfatides (SL), which are closely associated with immune and stromal cell types, can contribute to the diagnosis of basal and luminal subtypes of MIBC. Moreover, we showe that glycerophosphocholine (GCP)/imidazoles and nucleosides/imidazoles ratios can accurately distinguish the basal and luminal tumors. Overall, by integrating transcriptomic, lipidomic, and metabolomic data, our study reveals specific biomarkers to differentially diagnose basal and luminal MIBC subtypes and may provide a basis for precision therapy of MIBC.
2021-07-08 | GSE179440 | GEO
Project description:Gene expression profiling of 82 human non-muscle invasive bladder carcinoma and 4 normal bladder samples, for a total of 86 tissues. A Cartes díIdentite des Tumeurs (CIT) study from the 'Institut Curie' and the french 'Ligue Nationale Contre le Cancer' (http://cit.ligue-cancer.net/).
2015-01-01 | E-MTAB-1940 | biostudies-arrayexpress
Project description:The biological behaviors, clinical treatment, prognosis of nonmuscle-invasive bladder cancers (NMIBCs) and muscle-invasive bladder cancers (MIBCs) are distinct. Therefore, we performed high-through microarray screening of mRNA expression in 30 bladder tumors, to filter out some of the differential expression genes in NMIBCs and MIBCs.A total of 11 Genes in MIBCs versus in NMIBCs were considered differentially transcribed if they were transcribed ≤2.0 fold change and p<0.001 by unpaired T-test, including 9 up-regulated genes and 2 down-regulated genes in MIBCs (NR4A2, PLK3, CYR61, APOLD1, C13ORF33, LIG4, RBMS3, PCK2, AK098422, HSD17B3, RTN4). These candidate genes were validated in further and provide further insight into the discovery of new putative markers to identify MIBCs preoperatively.
2018-12-01 | GSE77952 | GEO
Project description:Although non muscle-invasive bladder cancer can be treated successfully by surgical resection, there is a high rate of recurrence, which frequently develops into an invasive form of cancer. Due to the lack of marker molecules to predict recurrence, it is currently recommended that after resection each patient is screened via cystoscopy at least twice a year. This results in a psychic burden to the patient and substantial economic costs to the health care system. Using antibody microarrays targeting 724 different cancer-related proteins, we studied protein profiles of patients with and without recurrence. The analysis revealed 255 proteins of differential abundance. Most are involved in the regulation and execution of apoptosis and cell proliferation. For prognosis, a signature of 20 proteins was determined that predicts bladder cancer recurrence with 100% sensitivity and 80% specificity. As a measure of overall accuracy, the area under the curve (AUC) value was found to be 90%. This is well within a clinically relevant window of quality and should support decision making about the stringency of surveillance or even different treatment options.
2014-04-07 | E-MEXP-3625 | biostudies-arrayexpress
Project description:This RNA-sequencing cohort includes 52 Non-muscle Invasive Bladder cancer (NMIBC) samples and 6 Muscle Invasive Bladder cancer (MIBC) samples.
| EGAS00001004358 | EGA
Project description:Objective was to identify urine cell-free microRNAs enabling early non-invasive detection of bladder cancer. Total RNA enriched for fraction of short RNAs was isolated using Urine microRNA purification kit (Norgen corp.). miRNA profiles were determined using the Affymetrix GeneChip miRNA 3.0 array and analyzed to identify differentially deregulated miRNA in bladder cancer patients compared with helathy controls.
2017-10-29 | E-MTAB-6102 | biostudies-arrayexpress
Project description:Non-muscle-invasive bladder cancer (NMIBC) patients receive frequent monitoring because ≥ 70% will have recurrent disease. However, screening is invasive, expensive, and associated with significant morbidity making bladder cancer the most expensive cancer to treat per capita. There is an urgent need to expand the understanding of markers related to recurrence and survival outcomes of NMIBC. Our results expand on the knowledge of immune profiles and methylation alteration associated with NMIBC outcomes and represent a first step toward the development of DNA methylation-based biomarkers of tumor recurrence.
2022-02-01 | GSE183920 | GEO
Project description:Background Clinically useful molecular markers predicting the clinical course of patients diagnosed with non-muscle invasive bladder cancer are needed to improve treatment outcome. Methods We used custom designed oligonucleotide microarrays to validate four previously reported gene expression signatures for molecular diagnosis of disease stage and carcinoma in situ, and for predicting disease recurrence and progression. We analyzed tumors from 404 patients diagnosed with bladder cancer in hospitals in Denmark, Sweden, England, Spain and France. Molecular classifications were compared to pathological diagnosis and clinical outcome. The median follow-up time for the patients was 3.5 years. Results Classification of disease stage using a 52-gene classifier was found to be highly significantly correlated with pathological stage (P<0.001). Furthermore, the classifier added information regarding future disease progression of Ta or T1 tumors (P<0.001). The molecular 77-gene progression classifier was highly significantly correlated with progression free survival (P<0.001) and cancer specific survival (P=0.001). Furthermore, multivariate Cox´s regression analysis showed the progression classifier to be an independently significant variable associated with disease progression after adjustment for age, sex, stage, grade and treatment (hazard ratio 2.4, P=0.005). The diagnosis of carcinoma in situ (CIS) using a 68-gene classifier showed a highly significant correlation with histopathological CIS diagnosis (odds ratio 5.8, P<0.001) in multivariate logistic regression analysis. Conclusions We conclude that this multicenter validation study confirms the clinical utility of molecular classifiers to guide treatment decisions for patients initially diagnosed with non-muscle invasive bladder cancer. Keywords: Multi center validation study of gene expression signatures
2007-06-15 | GSE5479 | GEO