Robust prediction of response to immune checkpoint blockade therapy in metastatic melanoma
Immune checkpoint blockade (ICB) therapy provides remarkable clinical gains, where melanoma is at the forefront of its success. However, only a subset of patients with advanced tumors currently benefit from these therapies, which at times incur considerable side-effects and costs. Constructing such predictors of patient’s response has remained a serious challenge due to the complexity of the immune response and the shortage of large ICB-treated patient cohorts including both omics and response d...
Provenance — who produced it, who reused it
Linked to 25 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.
- ImmuCellAI: A Unique Method for Comprehensive T‐Cell Subsets Abu... 2020 · 1,026 cites
- Comprehensive assessment of cellular senescence in the tumor mic... 2022 · 78 cites
22 further papers cite this accession but reuse could not be confirmed.
Deep data QC
69/100 · DStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
Bulk RNA-seq (human). Grade D quality (69/100) with borderline reusability. Q30 of 81.4% (57/100 score, primary constraint) and elevated duplication at 44.86% (67/100) together suggest PCR bias or over-amplification that will skew expression estimates. Reuse requires careful normalization for batch/duplication effects.
The D grade is a transparent weighted average. Each metric below scored from 0–100% against the published bulk-RNA-seq thresholds, weighted by its importance; nothing is hidden or subjective.
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0
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.