Integrative Genomic and Proteomic Analysis of Prostate Cancer Reveals Signatures of Metastatic Progression
An integrative analysis of this compendium of proteomic alterations and transcriptomic data was performed revealing only 48-64% concordance between protein and transcript levels. Importantly, differential proteomic alterations between metastatic and clinically localized prostate cancer that mapped concordantly to gene transcripts served as predictors of clinical outcome in prostate cancer as well as other solid tumors.
Provenance — who produced it, who reused it
Linked to 67 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.
- Androgen-induced Long Noncoding RNA (lncRNA) SOCS2-AS1 Promotes... 2016 · 151 cites
- Histone Methyltransferase NSD2/MMSET Mediates Constitutive NF-κB... 2012 · 143 cites
- Chitosan nanoparticle-mediated delivery of miRNA-34a decreases p... 2015 · 131 cites
- <scp>FAM</scp>83 family oncogenes are broadly involved in human... 2017 · 128 cites
- Histone methyltransferase DOT1L coordinates AR and MYC stability... 2020 · 109 cites
- Downregulation of the FTO m6A RNA demethylase promotes EMT-media... 2021 · 78 cites
- Epithelial tumor suppressor ELF3 is a lineage-specific amplified... 2019 · 71 cites
60 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
Scientific quality
Based on hands-on reproduction of the papers that use this dataset. A reproducible paper that stands on this data is positive evidence; a flagged one is a prompt to look closer — never a verdict on the dataset itself without the evidence.