Corpus 1,277 assessed · 1,178 scored · 644 reproduced ≥75 · 170 flagged ·∅ 74/100
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GSE12102

GEO first seen 2014

Overcoming resistance to conventional drugs in Ewing’s sarcoma and identification of molecular predictors of outcome.

Organism
Homo sapiens
Samples
37
Type
Expression profiling by arra...
Submitted
2008-07-14

The improvement of Ewing's sarcoma (EWS) therapy is currently linked to find strategies to select patients with poor and good prognosis at diagnosis and to generate modified treatment regimens. In this study, we analyze the molecular factors governing EWS response to chemotherapy in order to identify genetic signatures that may be used for risk-adapted therapy.

Provenance — who produced it, who reused it

Linked to 11 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.

Deposited / produced by
K ScotlandiD RemondiniG CastellaniM C ManaraF NardiL CantianiM FrancesconiM MercuriA M CaccuriM SerraS KnuutilaP Picci
Reused by

7 further papers cite this accession but reuse could not be confirmed.

Deep data QC

metadata only · no data-level QC for this type

Standardized, 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.

QC cost 22 s compute

measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently