Prediction of Recurrence-Free Survival in Postoperative NSCLC Patients—a Useful Prospective Clinical Practice
Background: One of the main fields of lung cancer research is identifying patients who are at high risk of post-resection recurrence. Individual recurrence risk evaluation by accurate but simple and reproducible method is needed for the clinical practice. Results: The log-rank test and further selection by our criteria of assayability generated 87 genes from microarray data with significant level 5%. Of these, by PTQ-PCR, the expression of most significant 18 genes was obtained. Using these gen...
Provenance — who produced it, who reused it
Linked to 54 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.
- Ectopic Activation of Germline and Placental Genes Identifies Ag... 2013 · 619 cites
- Werner Syndrome Helicase Is Required for the Survival of Cancer... 2019 · 140 cites
- Metabolic and transcriptional profiling reveals pyruvate dehydro... 2014 · 138 cites
- A Transcriptional and Metabolic Signature of Primary Aneuploidy... 2013 · 107 cites
- Personalized identification of altered pathways in cancer using... 2014 · 85 cites
- FBXO11 promotes ubiquitination of the Snail family of transcript... 2015 · 83 cites
- USP12 downregulation orchestrates a protumourigenic microenviron... 2021 · 77 cites
- Epithelial tumor suppressor ELF3 is a lineage-specific amplified... 2019 · 71 cites
46 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