Oral tongue cancer gene expression profiling: Identification of novel potential prognosticators
Background: The present study is aimed at identifying potential candidate genes as prognostic markers in human oral tongue squamous cell carcinoma (SCC) by large scale gene expression profiling. Methods: The gene expression profile of patients (n=37) with oral tongue SCC were analyzed using Affymetrix HG_U95Av2 high-density oligonucleotide arrays. Hierarchical clustering analyses failed to show significant segregation of patients. In patients (n=20) with available tumor and matched normal muco...
Provenance — who produced it, who reused it
Linked to 41 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.
- TRIP13 promotes error-prone nonhomologous end joining and induce... 2014 · 153 cites
- Expression profiles analysis identifies a novel three-mRNA signa... 2018 · 93 cites
- New DNA Methylation Markers and Global DNA Hypomethylation Are A... 2015 · 78 cites
- CrossNorm: a novel normalization strategy for microarray data in... 2016 · 76 cites
37 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.