Gene Expression in Fixed Tissues and Outcome in Hepatocellular Carcinoma
Background: It is a challenge to identify those patients who, after undergoing potentially curative treatments for hepatocellular carcinoma, are at greatest risk of recurrence. Such high-risk patients could receive novel interventional measures. An obstacle to the development of genome-based predictors of outcome in patients with hepatocellular carcinoma has been the lack of a means to carry out genomewide expression profiling of fixed, as opposed to frozen, tissues. Methods: We aimed to demonst...
Provenance — who produced it, who reused it
Linked to 40 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.
- HCCDB: A Database of Hepatocellular Carcinoma Expression Atlas 2018 · 305 cites
- PKCλ/ι Loss Induces Autophagy, Oxidative Phosphorylation, and NR... 2020 · 153 cites
- Histone Deacetylase Expressions in Hepatocellular Carcinoma and... 2019 · 123 cites
- POSTN<sup>+</sup> cancer-associated fibroblasts determine the ef... 2024 · 95 cites
- MiR-126 negatively regulates PLK-4 to impact the development of... 2018 · 86 cites
- APEX1 is a novel diagnostic and prognostic biomarker for hepatoc... 2020 · 71 cites
34 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