IRCC GC Targetted NGS Protocol

This document summarizes procedures for generating 243-GEA gene panel mutation and copy number data output. Data analysis has been performed by Adam Bass informatics group at the Dana-Farber Cancer Institute (Boston, MA).

Mutation and Copy Number Alteration Analysis

DNA extracted from PDX models along with a sample of normal germline DNA from each patient were utilized for targeted next generation sequencing of a bait set of 243 genes selected based upon their alteration in prior studies of gastroesophageal cancer (the “243-GEA gene panel” was designed using SureSelect DNA platform; Agilent genomics). Additionally, hybrid capture using the human bait set followed by sequencing was performed on a NOD-SCID mouse germline DNA sample.

NGS was performed on an Illumina HiSeq2500 sequencer. 250-bp read pairs were aligned to the hg19 reference sequence using the BWA and data were sorted and duplicate-marked using Picard tools. The alignments were further refined using the Genome Analysis Toolkit (GATK) for localized realignment around indel sites . Recalibration of quality scores was also performed using the GATK.

Somatic events were identified with MuTect v1.1.4 and annotated using Variant Effect Predictor v79 (VEP). We used the SomaticIndelDetector tool that is part of the GATK for indel calling. Variants detected in PDXs that were also identified in murine DNA were filtered and removed. Only non-synonymous mutations were considered (missense, nonsense, splice donor, splice acceptor, start/stop lost, frameshift mutations, in-frame insertions/deletions).

RobustCNV was used for the identification of copy number variants. Read depth at informative capture targets in tumor samples was calibrated to estimate the copy ratio using depths observed in a panel of normal (non-cancer) diploid genomes. The copy-ratio profiles were then segmented using the circular binary segmentation (CBS) algorithm. Segments were assigned gain, loss, or normal-copy calls using a cutoff derived from the within-segment standard deviation of post-normalized mapping depths and a tuning parameter which was set based on comparisons to array-CGH calls in separate validation experiments.

243-GEA GENE PANEL
Gene

AKT1

AKT2

AKT3

ALK

ALPK2

APC

AR

ARAF

ARHGAP26

ARHGAP6

ARID1A

ARID1B

ARID2

ATM

AXL

B2M

BAK1

BCL2

BCL2A1

BCL2L1

BCL2L12

BCL2L2

BCL6

BCL9

BCOR

BCORL1

BIRC5

BLM

BRAF

BRCA1

BRCA2

BRD4

CA9

CACNA2D3

CASP3

CASZ1

CCND1

CCND2

CCND3

CCNE1

CD274

CD44

CDH1

CDK1

CDK12

CDK2

CDK4

CDK5

CDK6

CDK8

CDK9

CDKN1A

CDKN1B

CDKN1C

CDKN2A

CDKN2B

CDKN2C

CHL1

CHRD

CIC

CLDN18

CRIP1

CRKL

CSMD1

CTNNA1

CTNNA3

CTNNB1

CTSB

CXCL10

DOCK2

E2F1

E2F3

EGFR

ELF3

ELMO1

EP300

EPHB3

EPHB6

ERBB2

ERBB2IP

ERBB3

ERBB4

ETV4

EYA4

FAM190A

FAT1

FAT2

FAT3

FAT4

FBXW7

FGF19

FGF3

FGF4

FGFR1

FGFR2

FGFR3

FGFR4

FHIT

FRS2

GAB1

GAB2

GATA4

GATA6

GLI3

GLIPR1

GNAS

HES1

HGF

HLA-A

HLA-B

ID1

IDH1

IDH2

IGF1R

IGF2

IGF2BP3

IGF2R

IL8

ING5

IRF2

JAK2

KDM6A

KEAP1

KIF13A

KIT

KLF12

KLF5

KMT2D

KRAS

LARP4B

LRP1B

LRP6

MACF1

MACROD2

MAGI3

MAP2K1

MAP2K2

MAP2K2

MAP2K4

MAP3K1

MAP3K5

MAP3K7

MAP3K8

MAP3K9

MAPK1

MAPK3

MCL1

MDM2

MECOM

MET

MLL3

MSH2

MSH6

MTOR

MUTYH

MYB

MYC

MYD88

NEGR1

NEIL2

NF1

NFE2L2

NKX2-1

NOTCH1

NOTCH2

NOTCH3

NOTCH4

NR2F2

NRAS

PAK1

PALB2

PARD3B

PARK2

PAX9

PBRM1

PCGF6

PDCD1LG2

PDE4D

PDGFRA

PDGFRB

PGM5

PHLDA1

PIK3CA

PIK3CG

PIK3R1

PLK2

POLB

POU5F1B

PREX2

PRKCi

PTCH1

PTCH2

PTEN

PTPN23

PTPRD

RASA1

RASSF7

RB1

RBPJ

RhoA

RICTOR

RNF43

RPTOR

RUNX1

RUNX1T1

RUNX3

SFRP4

SMAD2

SMAD3

SMAD4

SMARCA4

SMARCA5

SMO

SMURF1

SOHLH2

SOX2

SOX9

SRC

STAT3

STAT6

STK11

SYNE1

TCF7L1

TCF7L2

TERC

TERT

TGFBR2

TLN1

TLR4

TP53

TP63

TP73

TRAF2

TSC1

TSC2

USP9X

VEGFA

VPS13A

WT1

WWOX

YAP1

ZNF217

ZNF750

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