A Prognostic Gene Expression Index in Ovarian Cancer
Ovarian carcinoma has the highest mortality rate among gynecological malignancies. In this project, we investigated the hypothesis that molecular markers are able to predict outcome of ovarian cancer independently of classical clinical predictors, and that these molecular markers can be validated using independent data sets. We applied a semi-supervised method for prediction of patient survival. Microarrays from a cohort of 80 ovarian carcinomas (TOC cohort) were used for the development of a...
Provenance — who produced it, who reused it
Linked to 47 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.
- TRRUST: a reference database of human transcriptional regulatory... 2015 · 492 cites
- Functional genomics identifies five distinct molecular subtypes... 2013 · 291 cites
- curatedOvarianData: clinically annotated data for the ovarian ca... 2013 · 213 cites
- Angiogenic mRNA and microRNA Gene Expression Signature Predicts... 2012 · 150 cites
- Downregulation of MYPT1 increases tumor resistance in ovarian ca... 2020 · 121 cites
- EZH2 activates CHK1 signaling to promote ovarian cancer chemores... 2020 · 100 cites
- WNT7A/β-catenin signaling induces FGF1 and influences sensitivit... 2014 · 91 cites
40 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.