Expression data of diagnostic biopsy samples from Hodgkin lymphoma patients
Despite advances in Hodgkin lymphoma (HL) treatment, about 20% of patients still die due to progressive disease. Current prognostic models predict treatment outcome with imperfect accuracy, and clinically relevant biomarkers are yet to be established that improve upon the International Prognostic Scoring (IPS) system. We analyzed 130 frozen diagnostic lymph node biopsies from classical HL patients by gene expression profiling to describe cellular signatures correlated with treatment outcome.
Provenance — who produced it, who reused it
Linked to 8 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.
- Digital sorting of complex tissues for cell type-specific gene e... 2013 · 241 cites
- Weighted Frequent Gene Co-expression Network Mining to Identify... 2012 · 86 cites
6 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