2018
DOI: 10.1016/j.cell.2018.02.060
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Comprehensive Characterization of Cancer Driver Genes and Mutations

Abstract: 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 large datasets are few. We report a PanCancer and PanSoftware analysis spanning 9,423 tumor exomes (comprising all 33 of The Cancer Genome Atlas projects) and using 26 computational tools to catalog driver genes and mutations. We identify 299 driver genes with implications regarding their anatomical sites and cancer/cell typ… Show more

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Cited by 1,857 publications
(1,742 citation statements)
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References 90 publications
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“…Mutation hotspots were assigned according to Chang et al (2016). CTNNB1 mutation frequencies were assessed in 10 100 common cancers from The Cancer Genome Atlas (TCGA) (Bailey et al, 2018;Gao et al, 2013), including 175 pancreatic ADCs. In addition, mutational data from 8 SPNs from Wu et al (2011) and 344 non-SPN pancreatic tumors, including 23 acinar cell carcinomas from Jiao et al (2014), 98 PNETs from Scarpa et al (2017), and 24 cystic tumors of the pancreas Wu et al (2011).…”
Section: Whole-exome Sequencing Analysismentioning
confidence: 99%
“…Mutation hotspots were assigned according to Chang et al (2016). CTNNB1 mutation frequencies were assessed in 10 100 common cancers from The Cancer Genome Atlas (TCGA) (Bailey et al, 2018;Gao et al, 2013), including 175 pancreatic ADCs. In addition, mutational data from 8 SPNs from Wu et al (2011) and 344 non-SPN pancreatic tumors, including 23 acinar cell carcinomas from Jiao et al (2014), 98 PNETs from Scarpa et al (2017), and 24 cystic tumors of the pancreas Wu et al (2011).…”
Section: Whole-exome Sequencing Analysismentioning
confidence: 99%
“…Pan-cancer efforts by The Cancer Genome Atlas (TCGA) and others have shown that cancers originating from different tissues share similar genomic signatures (Bailey et al, 2018; Hoadley et al, 2018). Certain breast and bladder cancers display a basal-like molecular profile characterized by p63 activation and the expression of specific basal cell cytokeratins (Damrauer et al, 2014).…”
Section: Introductionmentioning
confidence: 99%
“…13 Meanwhile, these tumors have significant high level expressions of immune checkpoint proteins, including PD-1 and PD-L1, enabling them to survive from immune eradication. 14,15 However, the TIL and tumor molecular features remains largely unknown in CRC. Therefore, understanding the expression and clinical patterns of immunologic molecules will be critical in characterizing and selecting patient populations to benefit from their application in CRC.…”
Section: Introductionmentioning
confidence: 99%