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Table 2 Comparison of candidate driving genes of same cancer type from AYAs with those from all age group

From: Clinical application of genomic profiling to find druggable targets for adolescent and young adult (AYA) cancer patients with metastasis

 

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

  1. aEmphasized results from published paper (q < 0.0001)
  2. bThere was not available emphasized result of CNVs