caArray_jacob-00182: Gene expression-based survival prediction in lung adenocarcinoma: a multi-site, blinded validation study
Here we report a large, training*testing, multi-site, blinded validation study to characterize the performance of several prognostic models based on gene expression for 442 lung adenocarcinomas. The hypotheses proposed examined whether microarray measurements of gene expression either alone or combined with basic clinical covariates (stage, age, sex) could be used to predict overall survival in lung cancer subjects. Several models examined produced risk scores that substantially correlated with...
Provenance — who produced it, who reused it
Linked to 128 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.
- Identification of CDK2-Related Immune Forecast Model and ceRNA i... 2021 · 247 cites
- Silencing of Long Noncoding RNA <i>MIR22HG</i> Triggers Cell Sur... 2018 · 144 cites
- A clonal expression biomarker associates with lung cancer mortal... 2019 · 135 cites
- Conservation of immune gene signatures in solid tumors and progn... 2016 · 126 cites
- By integrating single-cell RNA-seq and bulk RNA-seq in sphingoli... 2023 · 122 cites
- Macrophage-Related SPP1 as a Potential Biomarker for Early Lymph... 2021 · 111 cites
- Landscape and dynamics of single tumor and immune cells in early... 2021 · 110 cites
- ACTL6A promotes repair of cisplatin-induced DNA damage, a new me... 2021 · 79 cites
72 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