Expression data for non-small-cell lung cancer
Purpose Prospectively identifying who will benefit from adjuvant chemotherapy (ACT) would improve clinical decisions for individual non-small-cell lung cancer (NSCLC) patients. Most current molecular signatures for lung cancer are prognostic only and provide limited information with regard to the functional importance of the genes selected. In this study, we aim to develop and validate a functional gene set that predicts the clinical benefit of ACT in NSCLC. Experimental Design An 18-hub-gene...
Provenance — who produced it, who reused it
Linked to 73 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.
- CD38-Mediated Immunosuppression as a Mechanism of Tumor Cell Esc... 2018 · 471 cites
- SOX9 drives the epithelial–mesenchymal transition in non-small-c... 2019 · 139 cites
- Metabolic and transcriptional profiling reveals pyruvate dehydro... 2014 · 138 cites
- Characterization of the Immune Landscape of EGFR-Mutant NSCLC Id... 2020 · 124 cites
- By integrating single-cell RNA-seq and bulk RNA-seq in sphingoli... 2023 · 122 cites
- DNA Repair Pathway Gene Expression Score Correlates with Repair... 2014 · 100 cites
- Leveraging mitochondrial-programmed cell death dynamics to enhan... 2024 · 72 cites
66 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
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently