The Mutational Landscape of Lethal Castrate Resistant Prostate Cancer
Characterization of the prostate cancer transcriptome and genome has identified chromosomal rearrangements and copy number gains/losses, including ETS gene fusions, PTEN loss and androgen receptor (AR) amplification, that drive prostate cancer development and progression to lethal, metastatic castrate resistant prostate cancer (CRPC)1. As less is known about the role of mutations2-4, here we sequenced the exomes of 50 lethal, heavily-pretreated metastatic CRPCs obtained at rapid autopsy (includ...
Provenance — who produced it, who reused it
Linked to 68 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.
- LncRNA HOTAIR Enhances the Androgen-Receptor-Mediated Transcript... 2015 · 341 cites
- An aberrant SREBP-dependent lipogenic program promotes metastati... 2018 · 296 cites
- Human DECR1 is an androgen-repressed survival factor that regula... 2020 · 200 cites
- Nuclear Pores Promote Lethal Prostate Cancer by Increasing POM12... 2018 · 157 cites
- TRIM28 protects TRIM24 from SPOP-mediated degradation and promot... 2018 · 153 cites
- MYBL2 disrupts the Hippo-YAP pathway and confers castration resi... 2021 · 136 cites
- Identification of hub genes in prostate cancer using robust rank... 2019 · 134 cites
- HOXB13 suppresses de novo lipogenesis through HDAC3-mediated epi... 2022 · 119 cites
- Dysregulation of spliceosome gene expression in advanced prostat... 2017 · 117 cites
- Impact of novel miR-145-3p regulatory networks on survival in pa... 2017 · 110 cites
- Divergent androgen regulation of unfolded protein response pathw... 2015 · 109 cites
- Histone methyltransferase DOT1L coordinates AR and MYC stability... 2020 · 109 cites
- The HDL receptor SR-BI is associated with human prostate cancer... 2015 · 79 cites
55 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.