Combination of a novel gene expression signature with a clinical nomogram improves the prediction of survival in high-risk bladder cancer
Urothelial carcinoma of the bladder is characterized by significant variability in clinical outcomes depending on stage and grade. The addition of molecular information may improve our understanding of such heterogeneity and enhance prognostic prediction. The purpose of this study was to validate and improve published prognostic signatures for high-risk bladder cancer.
Provenance — who produced it, who reused it
Linked to 102 papers in the literature. Roles are inferred factual signals (who deposited the data vs who reused it), with counts — never a judgement about any author.
- Intrinsic subtypes of high-grade bladder cancer reflect the hall... 2014 · 888 cites
- Tumour-suppressive miRNA-26a-5p and miR-26b-5p inhibit cell aggr... 2016 · 180 cites
- PHGDH Inhibits Ferroptosis and Promotes Malignant Progression by... 2022 · 159 cites
- The MicroRNA Expression Signature of Bladder Cancer by Deep Sequ... 2014 · 154 cites
- Tumour-suppressive microRNA-144-5p directly targets CCNE1/2 as p... 2015 · 143 cites
- Dual tumor‐suppressors <i>miR‐139‐5p</i> and <i>miR‐139‐3p</i> t... 2016 · 126 cites
- Multi-omics Integration Analysis Robustly Predicts High-Grade Pa... 2019 · 122 cites
- Comparative Gene Expression Analyses Identify Luminal and Basal... 2015 · 104 cites
- Regulation of<i>UHRF1</i>by dual-strand tumor-suppressor<i>micro... 2016 · 102 cites
- Dual regulation of receptor tyrosine kinase genes EGFR and c-Met... 2014 · 86 cites
- Increased AURKA promotes cell proliferation and predicts poor pr... 2018 · 85 cites
- Integrated multiomics analysis and machine learning refine molec... 2023 · 79 cites
68 further papers cite this accession but reuse could not be confirmed.
Deep data QC
metadata only · no data-level QC for this typeStandardized, field-standard QC computed by touching the data — every metric states how it was obtained
No quantitative QC rubric exists for this data type yet, so it is deliberately left unscored — this is an honest "not applicable", not a poor rating.
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently
Scientific quality
Based on hands-on reproduction of the papers that use this dataset. A reproducible paper that stands on this data is positive evidence; a flagged one is a prompt to look closer — never a verdict on the dataset itself without the evidence.