The molecular diversity of Luminal A breast tumors
Giovanni Ciriello Computational Biology, MSKCC TCGA Annual Symposium Washington DC, 2012 Breast'Cancer'Heterogeneity
Breast Cancer Intrinsic Subtypes '
Breast Cancer '
Her2-negative Her2 - positive PAM50: Her2-enriched
ER - negative PAM50: Basal ER-positive
PAM50: Luminal B
PAM50: Luminal A ' Breast'Cancer'Heterogeneity
Breast Cancer Intrinsic Subtypes '
Breast Cancer '
Her2-negative Her2 - positive PAM50: Her2-enriched
ER - negative ' PAM50: Basal ' ER-positive
PAM50: Luminal B '
PAM50: Luminal A ' Breast'Cancer'Heterogeneity
Breast Cancer Intrinsic Subtypes '
Breast Cancer '
Her2-negative Her2 - positive PAM50: Her2-enriched
ER - negative PAM50: Basal ER-positive
PAM50: Luminal B PAM50 (Perou et al., 2000) PAM50: Luminal A Luminal(Heterogeneity
Integrated data from: TCGA 2012, Ellis et al. 2012, Banerji et al. 2012 Curtis et al. 2012 Russnes et al. 2010
~ 1500 Luminal tumors
Copy Number Alterations Somatic Mutations mRNA expression Luminal(Molecular(Heterogeneity
PAM50 vs CNA-clusters (Curtis et al., TCGA) Integrated data from: TCGA 2012,
Ellis et al. 2012, Basal Her2 LumA LumB Normal Banerji et al. 2012 IC10
Curtis et al. 2012 IC5
Russnes et al. 2010 IC3
IC1
IC4
IC8 ~ 1500 Luminal tumors
Curtis datset IC7
IC9
IC6
IC2
Copy Number Alterations CNA1
Somatic Mutations CNA3
mRNA expression CNA2
CNA5 TCGA datset CNA4
p < 10- 4 10 - 4 < p < 0.05 Luminal(Molecular(Heterogeneity
CNA-clusters Somatic Mutations (Curtis et al., TCGA) (TCGA, Ellis et al., Banerji et al) Integrated data from: TCGA 2012,
Ellis et al. 2012, Basal Her2 LumA LumB Normal Banerji et al. 2012 IC10 Her2- Curtis et al. 2012 IC5 enriched Russnes et al. 2010 IC3
IC1 Basal-like IC4
IC8 ~ 1500 Luminal tumors
Curtis datset IC7 Luminal B IC9
IC6
IC2 # of mutations Luminal A per sample Copy Number Alterations CNA1 # of SigGenes ( q<0.05) Somatic Mutations CNA3 0 20 40 60 80 mRNA expression CNA2
CNA5 TCGA datset CNA4
p < 10- 4 10 - 4 < p < 0.05 Luminal(A(Clinical(Heterogeneity
• Luminal A tumors have heterogenous outcome
METABRIC Dataset (Curtis et al.) 7 Haque et al., 2012 Days at death death at Days 0 2000 4000 6000 8000
Basal Her2 LumB LumA Luminal(Heterogeneity
• Luminal A tumors have heterogenous outcome
METABRIC Dataset (Curtis et al.) Haque et al., 2012 Days at death death at Days 0 2000 4000 6000 8000
Basal Her2 LumB LumA
Luminal A is molecularly and clinically heterogeneous Can we link outcome variability to molecular diversity? Luminal(A(Heterogeneity Figure 1
A) B) Luminal A Breast Tumors (TCGA Dataset) 50% T: TCGA data * C: Curtis data 40% a 30% * 20% %Samples 1q/16q b * * 10% * c 0 T C T C T C T C T C d * IGP p-value < 0.001 Quiet C) Copy Number e Copy NumberOverall survival Alterations (Curtis Dataset) f
Chr.8 identify five major subgroups
associated g
h High Copy Number % Surviving i
Mixed Copy Number Quiet 20 40 60 80 100 1q/16q Chr.8-associated Mixed Overlall Log-rank p = 0.015 Copy Number High CNH Log-rank p = 0.001 0
0 50 100 150 Chromosomes Months Survival Luminal(A(Heterogeneity Figure 1
A) B) Luminal A Breast Tumors (TCGA Dataset) 50% T: TCGA data * C: Curtis data 40% a 30% * 20% %Samples 1q/16q b * * 10% * c 0 T C T C T C T C T C d * IGP p-value < 0.001 Quiet C) Copy Number e Overall survival (Curtis Dataset) f Chr.8
associated g
h High Copy Number % Surviving i
Mixed Copy Number Quiet 20 40 60 80 100 1q/16q Chr.8-associated Mixed Overlall Log-rank p = 0.015 Copy Number High CNH Log-rank p = 0.001 0
0 50 100 150 Chromosomes Months Survival Genomic(Instability(correlates( with(poor(prognosis
A) B) CNH survival (Curtis et al.) CNH Survival (Russnes et al.)
CNH Others % Surviving % Surviving
CNH Others Log-rank p = 4.6E-05 Log-rank p = 0.003 0 20 40 60 80 100 0 20 40 60 80 100
0 2 4 6 8 10 12 14 , 0 2 4 6 8 10 12 14 , Years Survival , Years Survival , Genomic(Instability(correlates( with(poor(prognosis
A) B) CNH survival (Curtis et al.) CNH Survival (Russnes et al.)
CNH Others % Surviving % Surviving
CNH Others Log-rank p = 4.6E-05 Log-rank p = 0.003 0 20 40 60 80 100 0 20 40 60 80 100
0 2 4 6 8 10 12 14 , 0 2 4 6 8 10 12 14 , Years Survival , Years Survival ,
What are the molecular features of these tumors? CNH$Molecular$Features
A) 60% ** * Luminal A 50% ** Copy Number High 40% Other 30% ** ** p < 0.01 ** p < 0.05 20% * %Samples 10%
0% 5q 20q TP53 MYC (mut) (amp) (gain) (loss) PIK3CA(mut) B) C) Luminal A Samples AURKA
8q.24 PLK1 AURKA CDC25B CCNA2 AURKB CDK1 CCNA1 CDC25B/C BIRC5 PLK1
TP53BP1 POLH
POLI CDK1
MLH3 Cyclin-A/B POLK Differentially Expressed Genes Differentially Copy Number High Low High Mitosis CNH$Molecular$Features
A) 60% ** * Luminal A 50% ** Copy Number High 40% Other 30% ** ** p < 0.01 ** p < 0.05 20% * %Samples 10%
0% 5q 20q TP53 MYC (mut) (amp) (gain) (loss) PIK3CA(mut) B) C) Luminal A Samples AURKA
8q.24 PLK1 AURKA CDC25B CCNA2 AURKB CDK1 CCNA1 CDC25B/C BIRC5 PLK1
TP53BP1 POLH
POLI CDK1
MLH3 Cyclin-A/B POLK Differentially Expressed Genes Differentially Copy Number High Low High Mitosis
What characterizes the other Luminal A subtypes? Luminal(A(Somatic(Mutations
A) CNA-Quiet 1q/16q Chr.8-associated CNH Mixed
PIK3CA GATA3 AKT1 MAP3K1 TP53 Samples Somatic mutations
Chr. 8 - associated B) Co-occurrent (p<0.05) Copy Number Loss D) Chr. 8 Chr.16 Mutually Exclusive (p<0.05) Copy Number Gain Mutated genes PIK3CA MAP3K1 GATA3 Samples CNA 1p12 1q21 1q32 6p23 6q27 7p12 9p21 11p13 11q14 10p13 10q23 12q15 13q12 14q13 14q24 16q12 16q23 17p12 17q12 17q21 19q12 19q13 20p13 3p25.1 4p16.3 4q13.3 6q14.2 8p21.3 8p11.22 8p11.21 11p15.5 11q13.2 17p11.2 21q11.2 8q24.21 10q22.3 12p13.3 13q14.2 15q26.3 16q24.2 20q13.2 Chromosomes 8p11
Somatic mutations Amplification MAP3K1 C) PIK3CA Mutations GATA3 Mutations E) 25 20 MAP3K1 mutations
15 Mutation Type 10 10 Missense Splice-site
#mutations 5 5 In Frame Del. Nonsense 0 0 1q/16q Quiet Chr.8 CNH Mixed 1q/16q Quiet Chr.8 CNH Mixed #mutations Frame-shift PIK3CA Hotspots (E545K, H1047R/L) GATA3 Hotspots (e4-2 , P409fs) Other MAP3K1 mutated samples Luminal(A(Somatic(Mutations
A) CNA-Quiet 1q/16q Chr.8-associated CNH Mixed
PIK3CA GATA3 AKT1 MAP3K1 TP53 Samples Somatic mutations
Chr. 8 - associated B) Co-occurrent (p<0.05) Copy Number Loss D) Chr. 8 Chr.16 Mutually Exclusive (p<0.05) Copy Number Gain Mutated genes PIK3CA MAP3K1 GATA3 Samples CNA 1p12 1q21 1q32 6p23 6q27 7p12 9p21 11p13 11q14 10p13 10q23 12q15 13q12 14q13 14q24 16q12 16q23 17p12 17q12 17q21 19q12 19q13 20p13 3p25.1 4p16.3 4q13.3 6q14.2 8p21.3 8p11.22 8p11.21 11p15.5 11q13.2 17p11.2 21q11.2 8q24.21 10q22.3 12p13.3 13q14.2 15q26.3 16q24.2 20q13.2 Chromosomes 8p11
Somatic mutations Amplification MAP3K1 C) PIK3CA Mutations GATA3 Mutations E) 25 20 MAP3K1 mutations
15 Mutation Type 10 10 Missense Splice-site
#mutations 5 5 In Frame Del. Nonsense 0 0 1q/16q Quiet Chr.8 CNH Mixed 1q/16q Quiet Chr.8 CNH Mixed #mutations Frame-shift PIK3CA Hotspots (E545K, H1047R/L) GATA3 Hotspots (e4-2 , P409fs) Other MAP3K1 mutated samples Luminal(A(Somatic(Mutations
A) CNA-Quiet 1q/16q Chr.8-associated CNH Mixed
PIK3CA GATA3 AKT1 MAP3K1 TP53 Samples Somatic mutations
Chr. 8 - associated B) Co-occurrent (p<0.05) Copy Number Loss D) Chr. 8 Chr.16 Mutually Exclusive (p<0.05) Copy Number Gain Mutated genes PIK3CA MAP3K1 GATA3 Samples CNA 1p12 1q21 1q32 6p23 6q27 7p12 9p21 11p13 11q14 10p13 10q23 12q15 13q12 14q13 14q24 16q12 16q23 17p12 17q12 17q21 19q12 19q13 20p13 3p25.1 4p16.3 4q13.3 6q14.2 8p21.3 8p11.22 8p11.21 11p15.5 11q13.2 17p11.2 21q11.2 8q24.21 10q22.3 12p13.3 13q14.2 15q26.3 16q24.2 20q13.2 Chromosomes 8p11
Somatic mutations Amplification MAP3K1 C) PIK3CA Mutations GATA3 Mutations E) 25 20 MAP3K1 mutations
15 Mutation Type 10 10 Missense Splice-site
#mutations 5 5 In Frame Del. Nonsense 0 0 1q/16q Quiet Chr.8 CNH Mixed 1q/16q Quiet Chr.8 CNH Mixed #mutations Frame-shift PIK3CA Hotspots (E545K, H1047R/L) GATA3 Hotspots (e4-2 , P409fs) Other MAP3K1 mutated samples
Which pathways are most de-regulated? MEMo:%Mutual%Exclusivity%Modules
Mutations CNA User Defined Set
● Homdel Hetloss Diploid Genes connected by Gain
C24 Q1756 ● Amp ● ● Mutated ● ● ● Normal ● ● ● ● ● ● network proximity ● ● ●● ● ● ● ●● ● ● ● ● ●● ● ●●●●● ● ● ● ● ● ● ● ●● ● ●● ● BRCA1
Cases Genes
Altered Not Altered .
G S G S G S
Gene A 54% Module t t + 1 Gene B Gene C 8% 8.5% Genes Samples
MCMC Switching Permutation Gene D - preserves #alterations per sample 30.5%t - preserves #alterations per gene
Ciriello et al., Genome Res. 2012 Mutual Exclusivity Module www.cbio.mskcc.org/memo Luminal(A(Pathways((MEMo)
A) 2 IGF1R ERBB2 4% 4%
PTEN NF1 6% 3%
PIK3CA KRAS 1% 49%
PIK3R1 2% MAP3K1 AKT1 14% 4% PAK1 8% MAP2K4 MAP2K3/6 MAP2K1/2 11%
JNK p38 ERK Survival Apoptosis Proliferation
Activating interaction Inhibiting interaction Inactivating Activating Alterations+to+NCor/SMRT+components
NCOR1 NCOR2 GPS2 ANKRD11 TBL1XR1 NCOR1 NCOR2 GPS2 ANKRD11 TBL1XR1
Fingerprint mRNA Heatmap CNA - Clusters 1q/16q Hom. Del Copy Number Quiet Chr.8-associated Somatic Low High mutation Copy Number High Mixed Alterations+to+NCor/SMRT+components
NCOR1 NCOR2 GPS2 ANKRD11 TBL1XR1 NCOR1 NCOR2 GPS2 ANKRD11 TBL1XR1
Fingerprint mRNA Heatmap CNA - Clusters 1q/16q Hom. Del Copy Number Quiet Chr.8-associated Somatic Low High mutation Copy Number High Mixed
Why are co-repressor complexes important in ER+ tumors? NCor/SMRT*are*required* for*Tamoxifen*effects
Co-repressors
Tamoxifen NCOR1 ER Proliferation NCOR2 GPS2 ANKRD11 TBL1XR1 NCOR1 NCOR2 GPS2 ANKRD11 TBL1XR1
Fingerprint mRNA Heatmap CNA - Clusters 1q/16q Hom. Del Copy Number Quiet Chr.8-associated Somatic Low High mutation Copy Number High Mixed NCor/SMRT*are*required* for*Tamoxifen*effects
Co-repressors Co-activators
Tamoxifen Tamoxifen NCOR1 ER ER Proliferation NCOR2 GPS2 ANKRD11 TBL1XR1 NCOR1 NCOR2 GPS2 ANKRD11 TBL1XR1
Fingerprint mRNA Heatmap CNA - Clusters 1q/16q Hom. Del Copy Number Quiet Chr.8-associated Somatic Low High mutation Copy Number High Mixed Loss$of$NCor/SMRT$predicts$resistance
Co-repressors Co-activators
Tamoxifen Tamoxifen NCOR1 ER ER Proliferation NCOR2 GPS2 ANKRD11 TBL1XR1 N-Cor ANKRD11 NCOR1 TBL1XR1 NCOR2 2% 3% GPS2 ANKRD11 NCOR1 GPS2 TBL1XR1 5% 2% p160/SRC
Fingerprint mRNA Heatmap CNA - Clusters SMRT 1q/16q Hom. Del Copy Number Quiet NCOR2 Chr.8-associated Somatic Low High mutation Copy Number High 1% Mixed ER Proliferation Conclusions
We dissected the genomics of Luminal A tumors in multiple datasets to explain their molecular and clinical heterogeneity Four major subtypes of Luminal A tumors Atypical Luminal subtype characterized by: • high genomic instability • p53 mutations • Aurora kinases up-regulation • poor prognosis Luminal A hallmark mutations are prevalent in tumors characterized by low copy number alterations We identified multiple rare, but mutually exclusive alterations associated with loss NCor/SMRT - These alterations may predict lack of response to endocrine therapy Thanks!
Chris Sander Chuck Perou Niki Schultz Katie Hoadley Rileen Sinha Anders Jacobsen Boris Reva Xiaohong Jing Wei-Qing Wang
...and the whole TCGA Breast AWG! Appendix(A
Luminal A Recurrently Mutated Genes (q < 0.05) data from TCGA, Ellis et al., Banerji et al
Her2- enriched
Basal-like
PIK3CA RUNX1 DGKG MAP3K1 CTCF SMCHD1 Luminal B GATA3 CBFB KRAS TP53 SF3B1 CCND3 # of mutations CDH1 MED23 NKAIN4 Luminal A per sample MLL3 WNT7A HIST2H2BE # of SigGenes ( q<0.05) MAP2K4 TBL1XR1 HIST1H3B NCOR1 TBX3 SHD 0 20 40 60 80 AKT1 GPS2 GPR32 PTEN FOXA1 Appendix(B
ER Positive Targets (BRCA_ER_POS) 0.8 A) 60% ** * Luminal A 50% ** Copy Number High 40% Other 30% ** ** p < 0.01 ** p < 0.05 20% * %Samples CNH tumors are ER+ 10% Enrichment score (ES) 0.0 0% 5q 20q TP53 MYC (mut) (amp) (gain) (loss) PIK3CA(mut) B) C) ClassA (positively correlated) ClassB (negatively correlated) Luminal A Samples -3 AURKA p < 10 , FDR = 0.03
8q.24 PLK1 AURKA CDC25B CCNA2 AURKB CDK1 CCNA1 CDC25B/C BIRC5 PLK1
TP53BP1 POLH
POLI CDK1
MLH3 Cyclin-A/B POLK Differentially Expressed Genes Differentially Copy Number High Low High Mitosis Appendix(B
ER Positive Targets (BRCA_ER_POS) 0.8 A) 60% ** * Luminal A 50% ** Copy Number High 40% Other 30% ** ** p < 0.01 ** p < 0.05 20% * %Samples CNH tumors are ER+ 10% Enrichment score (ES) 0.0 0% 5q 20q TP53 MYC (mut) (amp) (gain) (loss) PIK3CA(mut) B) C) ClassA (positively correlated) ClassB (negatively correlated) Luminal A Samples -3 AURKA p < 10 , FDR = 0.03
8q.24 PLK1 AURKA CDC25B CCNA2 AURKB CDK1 CDC25B/C Luminal B have similar subgroup CCNA1 BIRC5 PLK1
TP53BP1 POLH Copy Number POLI CDK1
MLH3 Cyclin-A/B POLK High Differentially Expressed Genes Differentially 80% * Copy Number High Low High Mitosis 70% ** ... 60% E2F1 BCAT1 50% AURKA AURKB 40% ** * KIF2C * CENPA 30% CCNA2 CDCA5 %Samples 20% CDCA3 TAF2 10% CDC20 CDC25B 0% PLK1 5q ... 20q TP53 MYC (mut) (amp) (gain) (loss) PIK3CA(mut)
Luminal B Expressed Genes Differentialy High Copy Number High Other Low ** p < 0.01 Luminal B Samples * p < 0.05