Unique MicroRNA Expression Signature Predicts Survival, Metastases and Recurrence of HCC
In this study we investigated the miRNA expression profile of Hepatocellular carcinoma (HCC) specimens from radical resection. We developed a unique 20 miRNA signature that could significantly distinguish HCC venous metastasis from metastasis-free HCC. In contrast to HCC staging systems, this signature was capable of predicting survival and recurrence of HCC patients with multinodular or solitary tumors, including those with early-stage disease. Moreover, the signature was an independent and sig...
Provenance — who produced it, who reused it
Linked to 25 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.
- Integrated Metabolite and Gene Expression Profiles Identify Lipi... 2013 · 247 cites
- miR-192-5p Silencing by Genetic Aberrations Is a Key Event in He... 2018 · 98 cites
- Differential combinatorial regulatory network analysis related t... 2012 · 83 cites
- CASC2/miR-24/miR-221 modulates the TRAIL resistance of hepatocel... 2018 · 72 cites
21 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