mRNA expressions in pre-treatment melanomas undergoing anti-PD-1 checkpoint inhibition therapy
PD-1 immune checkpoint blockade provides significant clinical benefits for cancer patients. However, factors influencing innate sensitivity remain incompletely catalogued. We analyzed the somatic mutanomes and transcriptomes of pretreatment melanoma biopsies. Mutations in cell adhesion genes and the DNA repair gene BRCA2 were enriched in responding tumors, and a high mutational load associated with improved survival. Innately resistant tumors displayed frequent transcriptomic up-expression of ge...
Provenance — who produced it, who reused it
Linked to 142 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
- Proteomics of Melanoma Response to Immunotherapy Reveals Mitocho... 2019 · 336 cites
- PRMT5 control of cGAS/STING and NLRC5 pathways defines melanoma... 2020 · 224 cites
- Increased glycolysis correlates with elevated immune activity in... 2019 · 192 cites
- Ablation of the endoplasmic reticulum stress kinase PERK induces... 2022 · 155 cites
- Myosin II Reactivation and Cytoskeletal Remodeling as a Hallmark... 2020 · 154 cites
- T-cell exhaustion signatures characterize the immune landscape a... 2023 · 153 cites
- Blockade of the CD93 pathway normalizes tumor vasculature to fac... 2021 · 153 cites
- Genomic landscape associated with potential response to anti-CTL... 2017 · 140 cites
- Macitentan improves antitumor immune responses by inhibiting the... 2022 · 96 cites
- Tumor-intrinsic YTHDF1 drives immune evasion and resistance to i... 2023 · 95 cites
- SMARCAL1 is a dual regulator of innate immune signaling and PD-L... 2024 · 93 cites
- Sensitive Detection and Analysis of Neoantigen-Specific T Cell P... 2019 · 80 cites
- Integrated multiomics analysis and machine learning refine molec... 2023 · 79 cites
- A pan-cancer transcriptome analysis of exitron splicing identifi... 2021 · 74 cites
- An immune score reflecting pro- and anti-tumoural balance of tum... 2023 · 74 cites
- Pan-Cancer Analysis Reveals a Distinct Neutrophil Extracellular... 2022 · 71 cites
63 further papers cite this accession but reuse could not be confirmed.
Deep data QC
100/100 · AStandardized, field-standard QC computed by touching the data — every metric states how it was obtained · evidence: measured
Bulk RNA-seq (human). Grade A quality (100/100) with clean measured metrics throughout. Q30 of 93.4% and low duplication (18.21%) both achieve perfect scores; minimal adapter content. Highly reusable for expression analysis.
The A 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.