Gene expression signature-based novel prognostic risk score in gastric cancer
Despite continual efforts to establish pre-operative prognostic model of gastric cancer by using clinical and pathological parameters, a staging system that reliably separates patients with early and advanced gastric cancer into homogeneous groups with respect to prognosis does not exist. With use of microarray and quantitative RT-PCR technologies, we exploited series of experiments in combination with complementary data analyses on tumor specimens from 161 gastric cancer patients. Various stati...
Provenance — who produced it, who reused it
Linked to 62 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.
- Significant Association of Oncogene YAP1 with Poor Prognosis and... 2014 · 162 cites
- HnRNPR-CCNB1/CENPF axis contributes to gastric cancer proliferat... 2019 · 124 cites
- HNF4α is a therapeutic target that links AMPK to WNT signalling... 2014 · 119 cites
- Estrogen-related receptor gamma functions as a tumor suppressor... 2018 · 106 cites
- The pseudogene derived long noncoding RNA DUXAP8 promotes gastri... 2016 · 99 cites
- MicroRNA-7 as a potential therapeutic target for aberrant NF-κB-... 2019 · 98 cites
- Overexpression of the M2 isoform of pyruvate kinase is an advers... 2012 · 87 cites
- H19 promotes aerobic glycolysis, proliferation, and immune escap... 2021 · 81 cites
54 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