Integrinated Omic analysis of lung cancer reveals metabolism proteome signatures with prognostic impact
Cancer results from processes prone to selective pressure and dysregulation acting along the sequence-to-phenotype continuum DNA→RNA→Protein→Disease. However, the extent to which cancer is a manifestation of the proteome is unknown. Here we present an integrated omic map representing non-small cell lung carcinoma. Dysregulated proteins not previously implicated as cancer drivers are encoded throughout the genome including but not limited to regions of recurrent DNA amplification/deletion. Cluste...
Provenance — who produced it, who reused it
Linked to 9 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.
- Transcriptomic and functional network features of lung squamous... 2018 · 136 cites
- Identification of Candidate Biomarkers Correlated With the Patho... 2018 · 124 cites
7 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