Robust prognostic biomarkers for EAC identified by systems-level characterization of tumor transcriptome
Despite continual efforts to rationalize a prognostic stratification of patients with esophageal adenocarcinoma (EAC) before treatment, current staging system only shows limited success owing to the lack of molecular and genetic markers that reflect prognostic features of the tumor. To develop molecular predictors of prognosis, we used systems-level characterization of tumor transcriptome. Using DNA microarray, genome-wide gene expression profiling was performed on 75 biopsy samples from patient...
Provenance — who produced it, who reused it
Linked to 19 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.
- SOX4 interacts with EZH2 and HDAC3 to suppress microRNA-31 in in... 2015 · 139 cites
- Elevated expression of the <i>IGF2</i> mRNA binding protein 2 (I... 2016 · 72 cites
17 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
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently