Integrated Multi-omics Profiling Elucidates Bladder Cancer Aggressiveness through Proteomic, Phosphoproteomic, and Metabolomic Metrics
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ABSTRACT:
ORGANISM(S): Homo Sapiens
SUBMITTER: 
Xianliang Hou
PROVIDER: PXD063012 | iProX | Wed Oct 29 00:00:00 GMT 2025
REPOSITORIES: iProX
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Project description:Non-muscle-invasive bladder cancer (NMIBC) has a high recurrence rate and muscle-invasive bladder cancer (MIBC) has unfavorable outcomes in urothelial bladder cancer (UBC) patients. Complex UBC-related protein biomarkers for outcome prediction may provide a more efficient management approach with an improved clinical outcome. The aim of this study is to recognize tumor-associated proteins, which are differentially expressed in different stages of UBC patients compared non-cancerous tissues. Methods: The proteome of tissue samples of 42 UBC patients (NMIBC n=25 and MIBC n=17) was subjected to two-dimensional electrophoresis (2-DE) combined with Liquid chromatography–mass spectrometry (LC–MS) system to identify differentially expressed proteins. The intensity of protein spots was quantified and compared with SameSpots software. Functional, pathway, and interaction analyses of identified proteins were performed using geneontology (GO), PANTHER, Reactome, Gene MANIA, and STRING databases. Results: Twelve proteins identified by LC-MS showed differential expression (over 1.5-fold, p<0.05), including 9 up-regulated in NMIBC and 3 up-regulated in MIBC patients. Proteins involved in the detoxification of reactive oxygen species and cellular responses to oxidative stress showed the most significant changes in UBC patients. Additionally, the most potential functions related to these detected proteins were associated with the peroxidase, oxidoreductase, and antioxidant activity.
2025-05-06 | PXD043456 | Pride
Project description:This study aimed to identify the genetic signatures associated with disease prognosis in bladder cancer. We used 165 primary bladder cancer samples, 23 recurrent non-muscle invasive tumor tissues, 58 normal looking bladder mucosae surrounding cancer and 10 normal bladder mucosae for microarray analysis. Hierarchical clustering was used to stratify the prognosis-related gene classifiers. For validation, real-time reverse-transcriptase polymerase chain reaction (RT-PCR) of top-ranked 14 genes was performed. On unsupervised hierarchical clustering using prognosis related gene-classifier, tumors were divided into 2 groups. The high risk gene signatures had significantly poor prognosis compared to low risk gene signatures (P<0.001 by the log-rank test, respectively). The prognosis-related gene classifiers correlated significantly with recurrence of non-muscle invasive bladder cancer (hazard ratio, 4.09; 95% confidence interval [CI], 1.94 to 8.64; P<0.001), and progression (hazard ratio, 23.68; 95% confidence interval [CI], 4.91 to 114.30; P<0.001), cancer-specific survival (hazard ratio, 29.25; 95% confidence interval [CI], 3.47 to 246.98; P=0.002) and overall survival (hazard ratio, 23.33; 95% confidence interval [CI], 4.97 to 109.50; P<0.001) of muscle invasive bladder cancer (p < 0.001, respectively). No patient with non-muscle invasive bladder cancer experienced cancer progression in low risk gene signature group. Prognosis-related gene classifiers validated by RT- PCR showed identical results. Prognosis related gene-classifiers provided strong predictive value for disease outcome. These gene classifiers could assist in selecting patients who might benefit from more aggressive therapeutic intervention or surveillance. Keywords: Gene expression, Bladder cancer, Prognosis 165 primary bladder cancer samples and 23 recurrent non-muscle invasive tumor tissues from 14 patients were taken in the Chungbuk National University Hospital. Only histologically verified transitional cell carcinoma samples were selected. Simultaneously 58 normal looking bladder mucosae surrounding cancer were obtained during the operation, which were histologically confirmed normal. Also, 10 normal bladder mucosae were obtained from patients with benign disease. The normal controls were determined to be free of cancer after revealing no malignant cells on urine cytology and no observable bladder cancer on cystoscopic examination during operation for their diseases, and were histologically reconfirmed normal.
2010-05-28 | E-GEOD-13507 | biostudies-arrayexpress
Project description:Cystoscopic bladder biopsies were obtained from 19 patients and 11 controls between 2004 and 2005. Whole transcript based arrays were used to identify differences in expression profile between cancer and normal, muscle-invasive or non-muscle invasive cancer and normal, grade 1 and grade 3 bladder cancer.
2014-07-01 | E-MTAB-1560 | biostudies-arrayexpress
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:Given the heterogeneity of disease evident from study of the presentation, histomorphology, disease course, and molecular lesions of bladder cancer, a cohort of 8 non-muscle invasive and 11 muscle invasive bladder cancers were profiled for gene expression using the Affymetrix HG-U133A platform. Under an IRB-approved protocol, snap frozen tissues for 19 cases of bladder cancer were procured and profiled for gene expression using Affymetrix HG-U133A microarrays.
2012-12-24 | E-GEOD-37317 | biostudies-arrayexpress
Project description:This study aimed to identify the genetic signatures associated with disease prognosis in bladder cancer. We used 165 primary bladder cancer samples, 23 recurrent non-muscle invasive tumor tissues, 58 normal looking bladder mucosae surrounding cancer and 10 normal bladder mucosae for microarray analysis. Hierarchical clustering was used to stratify the prognosis-related gene classifiers. For validation, real-time reverse-transcriptase polymerase chain reaction (RT-PCR) of top-ranked 14 genes was performed. On unsupervised hierarchical clustering using prognosis related gene-classifier, tumors were divided into 2 groups. The high risk gene signatures had significantly poor prognosis compared to low risk gene signatures (P<0.001 by the log-rank test, respectively). The prognosis-related gene classifiers correlated significantly with recurrence of non-muscle invasive bladder cancer (hazard ratio, 4.09; 95% confidence interval [CI], 1.94 to 8.64; P<0.001), and progression (hazard ratio, 23.68; 95% confidence interval [CI], 4.91 to 114.30; P<0.001), cancer-specific survival (hazard ratio, 29.25; 95% confidence interval [CI], 3.47 to 246.98; P=0.002) and overall survival (hazard ratio, 23.33; 95% confidence interval [CI], 4.97 to 109.50; P<0.001) of muscle invasive bladder cancer (p < 0.001, respectively). No patient with non-muscle invasive bladder cancer experienced cancer progression in low risk gene signature group. Prognosis-related gene classifiers validated by RT- PCR showed identical results. Prognosis related gene-classifiers provided strong predictive value for disease outcome. These gene classifiers could assist in selecting patients who might benefit from more aggressive therapeutic intervention or surveillance. Keywords: Gene expression, Bladder cancer, Prognosis
2010-05-06 | GSE13507 | GEO
Project description:miRNAs are involved in cancer development and progression,acting as tumor suppressors or oncogenes. Half of the human miRNAs are located in cancer-associated genomic regions and can function as tumor suppressor genes or oncogenes depending on their targets miRNA profiling was performed on paired bladder cancer tissues and differentially expressed miRNAs were identified in BC and adjacent noncancerous tissues of any disease stage/grade. Ten paired bladder cancer tissues (5 low-grade non-muscle-invasive bladder cancer[NMIBC] and 5 high-grade muscle-invasive bladder cancer[MIBC]) were sent to CapitalBio Corp. (Beijing) for noncoding RNA microarray analysis. The microarray analysis was done as described on the Web site of CapitalBio. NMIBC samples include 07A, 19A, 23A, 24A and T63 while coresponding pairs include 07B, 19B, 23B, 24B and 63. MIBC samples include 10A, 20A, 21A, 34A and 49A while coresponding pairs include 10B, 20B, 21B, 34B and 49B.
2012-07-06 | E-GEOD-39093 | 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: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: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.
2012-02-22 | GSE23732 | GEO