Integrative Transcriptome Analysis Reveals Common Molecular Subtypes of Human Hepatocellular Carcinoma
Hepatocellular carcinoma (HCC) is a highly heterogeneous disease, and prior attempts to develop genomic-based classification for HCC have yielded highly divergent results, indicating difficulty in identifying unified molecular anatomy. We performed a meta-analysis of gene expression profiles in data sets from eight independent patient cohorts across the world. In addition, aiming to establish the real world applicability of a classification system, we profiled 118 formalin-fixed, paraffin-embedd...
Provenance — who produced it, who reused it
Linked to 16 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
- ZIC2-dependent OCT4 activation drives self-renewal of human live... 2015 · 173 cites
- Clinicopathological indices to predict hepatocellular carcinoma... 2015 · 103 cites
- POSTN<sup>+</sup> cancer-associated fibroblasts determine the ef... 2024 · 95 cites
- The pyroptosis-related gene signature predicts prognosis and ind... 2022 · 92 cites
- Xmrk, Kras and Myc Transgenic Zebrafish Liver Cancer Models Shar... 2014 · 74 cites
10 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