Expression profiling of 83 matched pairs of lung adenocarcinomas and non-malignant adjacent tissue
Background: Non-small cell lung cancers (NSCLCs) consist of adenocarcinoma (ADC), squamous cell carcinoma (SCC) and other types. Since most NSCLCs are now diagnosed from small biopsies or cytology materials, classification is not always accurate. This is a problem as many therapy regimens and clinical trials are histology-dependent. Specific Aim: To develop an RNA expression signature as an adjunct test for routine histo-pathological classification of NSCLCs. Methods: A microarray dataset of r...
Provenance — who produced it, who reused it
Linked to 71 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.
- SMARCA4 loss is synthetic lethal with CDK4/6 inhibition in non-s... 2019 · 189 cites
- OTUB2 stabilizes U2AF2 to promote the Warburg effect and tumorig... 2018 · 143 cites
- Hyperactivation of ERK by multiple mechanisms is toxic to RTK-RA... 2018 · 114 cites
67 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