Combining Clinical, Pathology, and Gene Expression Data to Predict Recurrence of Hepatocellular Carcinoma
Background: Hepatocellular carcinoma (HCC) is among the top-five cancer killers worldwide. Here, we describe our analysis of 20 gene signatures with reported prognostic value in a cohort of patients with early stage HCC treated with surgical resection. Methods: We performed gene-expression profiling of 164 formalin-fixed, paraffin-embedded HCC from three hepatology centers participating the HCC Genomic Consortium. We utilized Illumina’s whole-genome DASL assay measuring ~24,000 annotated human g...
Provenance — who produced it, who reused it
Linked to 14 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.
- Identification of an Immune-specific Class of Hepatocellular Car... 2017 · 1,036 cites
13 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