Relapse-related molecular signature in lung adenocarcinomas identifies patients with dismal prognosis
We identified a relapse-related molecular signature represented by 82 probes (RRS-82) through genome-wide expression profiling analysis of a training set of 60 patients. The robustness of RRS-82 in the selection of patients with a high probability of relapse was then validated with a completely blinded test set of 27 adenocarcinoma patients, showing a clear association of high risk RRS-82 with very poor patient prognosis regardless of disease stage. The discriminatory power of RRS-82 was further...
Provenance — who produced it, who reused it
Linked to 102 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.
- Identifying phenotype-associated subpopulations by integrating b... 2021 · 518 cites
- Identification of CDK2-Related Immune Forecast Model and ceRNA i... 2021 · 247 cites
- OTUB2 stabilizes U2AF2 to promote the Warburg effect and tumorig... 2018 · 143 cites
- By integrating single-cell RNA-seq and bulk RNA-seq in sphingoli... 2023 · 122 cites
- Super-enhancer hijacking LINC01977 promotes malignancy of early-... 2022 · 97 cites
- Weighted Gene Coexpression Network Analysis of Features That Con... 2020 · 80 cites
- Bioinformatics analysis of the serine and glycine pathway in can... 2014 · 79 cites
- Comprehensive molecular analyses of a TNF family-based signature... 2020 · 72 cites
- FBXO22 mediates polyubiquitination and inactivation of LKB1 to p... 2019 · 72 cites
- Leveraging mitochondrial-programmed cell death dynamics to enhan... 2024 · 72 cites
70 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.