Adaptation During Ovarian Cancer Metastasis Reveals a Predictive Gene Signature
We characterized the genetic copy number and expression differences between matched ovarian primary tumors and omental metastases. Differentially expressed genes revealed that metastases proliferate more and are less apoptotic. Differentially expressed genes revealed a predictive expression signature when applied to other gene expression datasets.
Provenance — who produced it, who reused it
Linked to 10 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.
- Collagen Remodeling in the Hypoxic Tumor-Mesothelial Niche Promo... 2019 · 134 cites
- TAGLN mediated stiffness-regulated ovarian cancer progression vi... 2021 · 98 cites
- The RNA binding protein SORBS2 suppresses metastatic colonizatio... 2018 · 96 cites
- Identification of Ovarian Cancer Metastatic miRNAs 2013 · 96 cites
6 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