A seven-gene signature aggregates a subgroup of stage II colon cancers with stage III.
Colorectal cancer is one of the most common cancers in the world. Histological staging is efficient but combination with molecular markers may improve tumors classification. Gene expression profiles have been defined as prognosis predictors among stage II and III tumors but their implementation in medical practice remains controversial. Stage-II tumors have been recognized as a heterogeneous group and high-risk morphologic features have been retained as justifying adjuvant chemotherapy. We propo...
Provenance — who produced it, who reused it
Linked to 60 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.
- CDX2 as a Prognostic Biomarker in Stage II and Stage III Colon C... 2016 · 480 cites
- LncRNA SATB2-AS1 inhibits tumor metastasis and affects the tumor... 2019 · 338 cites
- Cross-talk of four types of RNA modification writers defines tum... 2021 · 268 cites
- m<sup>6</sup>A regulator-based methylation modification patterns... 2020 · 261 cites
- Subtypes of primary colorectal tumors correlate with response to... 2012 · 257 cites
- DeepCC: a novel deep learning-based framework for cancer molecul... 2019 · 234 cites
- Tumor-selective proteotoxicity of verteporfin inhibits colon can... 2015 · 192 cites
- Significant Association of Oncogene YAP1 with Poor Prognosis and... 2014 · 162 cites
- Characterization of a p53/miR-34a/CSF1R/STAT3 Feedback Loop in C... 2020 · 107 cites
51 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.