Characterization of gene expression profiles of gastric cancer in the Korea University cohort
Clinical heterogeneity of gastric cancer reflected in unequal outcome of treatment is poorly defined in molecular level, and molecular subtypes and their associated biomarkers have not been established to improve prognostification and treatment of gastric cancer. Using microarray technologies, we analyzed gene expression profiling data from gastric cancer patients and uncovered potential prognostic subtypes and identify gene expression signature associated with prognosis and response to adjuvant...
Provenance — who produced it, who reused it
Linked to 46 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.
- Estrogen-related receptor gamma functions as a tumor suppressor... 2018 · 106 cites
- Expression Status And Prognostic Value Of M6A-associated Genes i... 2020 · 97 cites
- Prognostic Prediction Using a Stemness Index-Related Signature i... 2020 · 87 cites
- DNA methylation regulator-mediated modification patterns and tum... 2021 · 78 cites
42 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