Identifying molecular cancer drivers is critical for precision oncology. Multiple advanced
algorithms to identify drivers now exist, but systematic attempts to combine and optimize them on …

… 2b,c. The RIMA pipeline is useful for large-scale data processing and transcriptomic
characterization of the TME, thus offering insights into cancer genomics and immuno-oncology. …

PURPOSE The modern researcher is confronted with hundreds of published methods to
interpret genetic variants. There are databases of genes and variants, phenotype-genotype …

… We define eight exhaustive and disjoint sequence-based dinucleotide contexts: C in CpG,
G in CpG, C in TpC, G in GpA, and all other A, G, C, T. We represent the occurrences of each …

The Cancer Genome Atlas (TCGA) has catalyzed systematic characterization of diverse
genomic alterations underlying human cancers. At this historic junction marking the completion …

… (C) Number of predicted driver genes. Driver gene is defined as having Benjamini–Hochberg
adjusted … 2 B and C, p was set to 0.107, which is the fraction of inactivating mutations in our …

The functional impact of the vast majority of cancer somatic mutations remains unknown,
representing a critical knowledge gap for implementing precision oncology. Here, we report the …

… (C) Relative occurrence of variants in driver genes along MetTrunk in individual COSMIC
samples was 0.32% compared with 0.0016% along MetBranch (two-sided Wilcoxon rank-sum …

Background To determine genomic alterations in head and neck squamous cell carcinoma (HNSCC)
using formalin-fixed, paraffin-embedded (FFPE) tumors obtained through routine …

MHC-I loss or downregulation in cancer cells is a major mechanism of resistance to T cell–based
immunotherapies. Our study reveals that birinapant may be used for patients with low …