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Genomic Characterization of Invasive Lobular Breast Carcinoma Genomic Characterization of Invasive Lobular Breast Carcinoma

Genomic Characterization of Invasive Lobular Breast Carcinoma - PowerPoint Presentation

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Genomic Characterization of Invasive Lobular Breast Carcinoma - PPT Presentation

Michael L Gatza PhD TCGA Breast Cancer AWG Invasive Breast Carcinoma webmdcom Invasive Ductal Carcinoma IDC 5080 Mixed IDCILC 45 Ductal Lobular Invasive Lobular Carcinoma ILC ID: 811736

class ilc idc high ilc class high idc expression mike gatza unc mrna institute cancer genes luma maf dna

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Slide1

Genomic Characterization of Invasive Lobular Breast Carcinoma

Michael L. Gatza, Ph.D.

TCGA Breast Cancer AWG

Slide2

Invasive Breast Carcinoma

webmd.com

Invasive Ductal Carcinoma (IDC)

50-80%

Mixed IDC.ILC

4-5%

Ductal

Lobular

Invasive Lobular Carcinoma (ILC)

10-15%

Slide3

P

athology centrally re-reviewed

(Andy Beck, Harvard)

817

490

127

88

112

Summary of Data Freeze

Slide4

Identification of differentially expressed genes

Ductal

Lobular

2 Class SAM FDR=0

N=663 genes

LumA

Ductal

LumA

Lobular

ATM network

Immune signaling (multiple)

MAPK signaling

MYC targets (multiple)

E-cadherin stabilization

Normal

CDH1

Mike Gatza, UNC

Low High

mRNA Expression

Slide5

Development of Integrated MAF

Matt Wilkerson (UNC), Lisle

Mose (UNC)Giovanni Ciriello (MSKCC), Cyriac Kandoth

(MSKCC)Mike McLellan (Wash U)

DNA-based MAF

Integrated MAF

DNA Exome sequencing

UNCeqR

(

mRNAseq

/ DNAseq)ABRA (CDH1, TP53, GATA3, PTEN, RB1)Integrated MAF

DNA-based MAF

Integrated MAF

Slide6

Comparison of significant alterations: IDC vs. ILC

Giovanni Ciriello, MSKCC

Slide7

Identifying IDC

LumA

and ILC

LumA-specific alterations

Giovanni Ciriello, MSKCC

IDC ILC

GATA3 (p=0.0002)

Low High

Protein Expression

Slide8

PARADIGM analysis identifies IDC and ILC-associated signaling pathways

XBP1

MYC

p

53/DNA Damage Response

Immune Related

CDH1

Blue: ILC DOWN

Red: ILC UP

Christina Yau, Buck Institute

IDC ILC

mRNA

IDC ILC

Protein

Low High

mRNA Expression

Low High

Protein Expression

Slide9

Development of mRNA-based ILC classes

1 2 3

Centroid classifier (90genes)

ConsensusClusterPlus

to ID 3 ILC classes

TCGA ILC

LumA

(n=106)

Identified samples with positive

sil. width

TCGA ILC LumA (n=89)

ClaNC developed centroid predictor

TCGA ILC LumA (n=89)

Mike Gatza, UNC

Slide10

2 Class SAM identifies differentially expressed genes in ILC classes

Mike Gatza, UNC

988 genes (FDR=0)

Class1 C2 C3

N= 722 genes

EGFR

MET

GLI1

FGF17

WNT6

AREG

KITKRT 14, 15, 17, 32, 81KRK 1, 6-8

CLDN 8,10,11, 19 PTCH2TP63VIT

ID4

N= 268 genes

Immune-related genes: >100

LCKIFNG

Low High

mRNA Expression

Slide11

ILC class mRNA /

miRNA expression patterns correspond with IDC and Adjacent Normal

ILC

IDC

Norm

988 genes (FDR=0)

P<0.0001

miRNA

(

SAMseq

FDR<0.05)

Mike Gatza, UNC

Reanne Bowlby, BC Cancer Agency

Low High

miRNA

Expression

Low High

mRNA Expression

ILC

IDC

Normal

Class 1

61

49

94

Class 2

39

167

0

Class 3

27

274

0

Slide12

ILC Class1 corresponds with RPPA Reactive Subtype

ILC Class (n=127)

RPPA Subtype (n=70)

Reactive

Non-reactive

Missing data

Class1 Class2 Class3

Mike Gatza, UNC

Gordon Mills, MDACC

P<0.0001

Annexin1

Caveolin1

Collagen IV

Myh11

RMB15

RPPA

Low High

Protein Expression

Slide13

ILC

Class1 tumors exhibit altered PDGFR/ STAT3 and FoxM1 signaling

FOXM1 sub-network

PARAGIGM

RPPA

PDGFR

FoxM1

FoxM1

pSRC

Y527

pSTAT3 Y705

Christina Yau, Buck Institute

Mike

Gatza, UNC

Low High

Protein Expression

Slide14

ILC class 2 defined by high immune signaling and proliferation

Mike Gatza, UNC

Low High

Signature Score

B-cell

BCR

B-cell (CS)

CD8

CD8 (CS)

T-cell (CS)

LCK

T-cell (TNBC)

NKT-cell (Teschendo

)MΦ TH1 (CS)

MΦ CSF1

TCR

TCGA ILC (n=127)

Class1 Class2 Class3

P=1.39e-10

Proliferation Score (PAM50)

Class 1 Class 2 Class 3

Slide15

PARADIGM analysis identifies IFNG and FOXM1 as key pathways in ILC class 2 tumors

Christina Yau, Buck Institute

Slide16

Summary

Developed unique integrated MAF utilizing both DNA exome and mRNA sequencing

ILC vs. IDCFOXA1, CDH1 mutations associated with ILCGATA3 mutation associated with IDCAltered signaling: CDH1, Myc

, p53/DNA damage, immune signalingIdentified differentially expressed miRNA and methylationILC classesClass 1 associated with Reactive subtype

Class 2 immune component and highly proliferative

Slide17

TCGA Breast Cancer Analysis Working Group

Baylor College of Medicine

Chad Creighton

Xiaosong Wang

British Columbia Cancer AgencyAndy Chu

Elizabeth ChunAndy Mungall

Gordon RobertsonDominik Stoll

Broad Institute

Andrew Cherniack

Greater Poland Cancer CenterMaciej

WiznerowiczHarvard Medical School

Terrence WuYonghong Xiao

Institute for Systems BiologySheila ReynoldsIlya

ShmulevichLawrence Berkeley National Laboratory

Paul SpellmanMayo Clinic

Jim Ingle

The University of Texas

MD Anderson Cancer CenterRoel Verhaak

Rehan Akbani

Nancy ShihGordon Mills

Memorial Sloan-Kettering Cancer CenterGiovanni Ciriello

Niki Schultz

Ethan CeramiArthur Goldberg

Caitlin ByrneAnders JacobsenTari

KingChris Sander

Nationwide Children’s HospitalJay BowenJulie

Gastier-Foster

National Cancer InstituteChunhua

YanJohn DemchokLaura Dillon

Margi

Sheth

Peter Good

Jacqueline

Palchik

Heidi Sofia

Kenna Shaw

University of California Santa Cruz

Buck Institute

Chris Benz

David Haussler

Christina

Yau

Sam Ng

Ted Goldstein

Kyle

Ellrott

Charlie

Vaske

Josh Stuart

Jing Zhu

University of California,

San Francisco

Fred Waldman

University of Southern California

Peter Laird

Swapna

Mahurkar

Simeen Malik

Dan

Weisenberger

Windber Research Institute

Hai

Hu

Richard Mural

University of North Carolina

Chuck Perou (co-chair)

Katie Hoadley

Mike Gatza

Joel Parker

Xiaping He

Michael Iglesia

Grace Silva

Wei Zhao

The Genome Institute

at Washington University

Matthew Ellis (co-chair)

Li Ding

Lucinda Fulton

Daniel Koboldt

Elaine Mardis