Hepatic regeneration gene expression signature predicts late recurrence of hepatocellular carcinoma
While we and others have uncovered and validated several genomic predictors for metastatic recurrences, a molecular or genomic predictor that can reliably identify high-risk patients for late de novo recurrence has not been firmly established. We analyzed previously reported gene expression data from human livers that underwent partial hepatectomy or transplantation, which were representative physiological conditions that trigger liver regeneration signals. We generated gene expression data from...
Provenance — who produced it, who reused it
Linked to 44 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 the Consistently Altered Metabolic Targets in... 2017 · 156 cites
- Exosomal S100A4 derived from highly metastatic hepatocellular ca... 2021 · 122 cites
- Genomic Predictors for Recurrence Patterns of Hepatocellular Car... 2014 · 120 cites
- Early Diagnosis of Hepatocellular Carcinoma Using Machine Learni... 2020 · 97 cites
- MiR-126 negatively regulates PLK-4 to impact the development of... 2018 · 86 cites
- DNA topoisomerase 1 and 2A function as oncogenes in liver cancer... 2018 · 83 cites
38 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