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. 2016 Feb 29;16:170. doi: 10.1186/s12885-016-2209-1

Table 2.

Comparison of candidate driving genes of same cancer type from AYAs with those from all age group

Prostate cancer HNSCC
AYA01 Barbieri, et al. AYA04 TCGA
Sequencing platform WES (n = 1) WES (n = 112) WES (n = 1) WES (n = 279)
 Exome capture kit Agilent SureSelect Agilent SureSelect Agilent SureSelect Agilent SureSelect
 Sequencing instrument Illumina HiSeq Illumina HiSeq Illumina HiSeq Illumina HiSeq
Depth (mean) 138X 118X 198X 95X
Age (median) 30 63 33 61
Bioinformatic pipeline
 Alignment bwa (hg19)
 Deduplication Picard
 Realignment GATK
 Recalibration GATK
 Variant calling
  SNVs MuTect
  Indels Somatic Indel Detector/Indelocator
Selection of candidate SNV/Indels Heuristic annotation MutSig Heuristic annotation MutSig
CNVs detection AffymetrixOncoScan Affymetrix SNP 6.0 AffymetrixOncoScan Affymetrix SNP 6.0
Selection of candidate CNVs Heuristic annotation GISTIC Heuristic annotation GISTIC
Candidate driving genes
 SNVs/Indels NF1 SPOP TP53 CDKN2A
RASA2 TP53 FAT1 FAT1
ATAD5 PTEN MSX1 TP53
FOXA1 USP6 CASP8
CDKN1B ANK2 AJUBA
ZNF595 CHD5 PIK3CA
THSD7B FOXL2 NOTCH1
MED12 ITGB4 KMT2D
NIPA2 LECT1 NSD1
PIK3CA HLA-A
C14orf9 TGFBR2
SCN11A
 CNVsa NF1 NAb NOTCH1 FADD
SUZ12 SMAD4 CDKN2A
SETD2 CSMD1
PTCH1 SOX2
AXIN1 LRP1B
BAP1 EGFR
CDH1 FAT1

aEmphasized results from published paper (q < 0.0001)

bThere was not available emphasized result of CNVs