ArticleMedical oncology (Northwood, London, England)2014
Heterogeneity research in muscle-invasive bladder cancer based on differential protein expression analysis.
Article in Medical oncology (Northwood, London, England), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed, 18 citations in OpenAlex.
- Article
- MTX-211 Inhibits GSH Synthesis through Keap1/NRF2/GCLM Axis and Exerts Antitumor Effects in Bladder Cancer.International journal of molecular sciences · 2023Article
- Anti-cancer effect of LINC00478 in bladder cancer correlates with KDM1A-dependent MMP9 demethylation.Cell death discovery · 2022Article
- Mesenchymal stem cells-derived exosomal microRNA-139-5p restrains tumorigenesis in bladder cancer by targeting PRC1.Oncogene · 2021Article
- Integrative Analysis Identified MCT4 as an Independent Prognostic Factor for Bladder Cancer.Frontiers in oncology · 2021Article
- Identifying the mRNAs associated with Bladder cancer recurrence.Cancer biomarkers : section A of Disease markers · 2020Article
- Bioinformatics Analysis to Screen the Key Prognostic Genes in Tumor Microenvironment of Bladder Cancer.BioMed research international · 2020Article
- Pim1 promotes cell proliferation and regulates glycolysis via interaction with MYC in ovarian cancer.OncoTargets and therapy · 2018Article
- Proteomics analysis of bladder cancer invasion: Targeting EIF3D for therapeutic intervention.Oncotarget · 2017Article
- Bladder cancer cells re-educate TAMs through lactate shuttling in the microfluidic cancer microenvironment.Oncotarget · 2015Article
- A bladder cancer microenvironment simulation system based on a microfluidic co-culture model.Oncotarget · 2015Article
- Developing proteomic biomarkers for bladder cancer: towards clinical application.Nature reviews. Urology · 2015Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The aim of this study was to study the expression profiles of muscle-invasive bladder cancer (MIBC) cells of different risk groups and to explore the crucial role of biological pathway change in heterogeneity of MIBC cells. Thirty individual samples (cancer and non-cancerous specimens) were obtained from patients with MIBC. Laser capture microdissection was employed to harvest the homogeneous MIBC cells and normal urothelial cells. iTRAQ and 2D-LC-MS/MS were used to quantify and identify the differently expressed proteins. Then, the significantly changed proteins were further analyzed using Arraytrack ™ software. The interested proteins were compared with the published literatures to discuss the exact functions. A total of 3,073 non-redundant proteins were identified in this research; therefore, 855/2,210/633 (fold change >1.5 relative to normal group) presented in high-/median-/low-risk groups, respectively. 617/1,620/463 proteins with SWISS-ACC number output from Arraytrack ™ software and presented in high-/median-/low-risk groups, respectively. Pathway analysis revealed that the mainly changed pathways (top-10, p < 0.05) in Genetic information processing category were similar in high- and median-risk groups, including Kyoto Encyclopedia of Genes and Genomes (KEGG) spliceosome, protein export, ribosome pathways. The mainly altered pathways in Metabolism category included glycolysis/gluconeogenesis, pentose phosphate, pyruvate metabolism pathway for high-risk group, and glutathione metabolism, citrate cycle, oxidative phosphorylation pathways for median-risk group. The major changed pathways for low-risk group included focal adhesion pathway and ECM-receptor interaction pathway. The changed biological pathways are closely related to the regulation of heterogeneity for MIBC. The KEGG pathways of Genetic information processing category and Metabolism (anaerobic or aerobic) category play a crucial role in determining the malignant phenotype of MIBC cells. The quantification analysis of proteins combining with the KEGG pathway analysis contributes to screening candidate biomarkers and guides the biological molecular therapy of MIBC.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.