Genomic Medicine and Breast Cancer Past, Present, and Future...Genomic Medicine and Breast Cancer...
Transcript of Genomic Medicine and Breast Cancer Past, Present, and Future...Genomic Medicine and Breast Cancer...
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Genomic Medicine and Breast Cancer Past, Present, and Future
Stan Lipkowitz Senior Investigator Laboratory of Cellular and Molecular Biology, CCR Attending Physician, MOB, NCI and Oncology, NNMC February 3, 2012
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Genomic Medicine and Breast Cancer
Genomic Medicine Definition The use of molecular Genotype (DNA) and Phenotype (mRNA) to predict disease incidence, outcome, and/or to dictate treatment
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Genomic Medicine and Breast Cancer
Genomic Medicine Definition The use of molecular Genotype (DNA) and Phenotype (mRNA) to predict disease incidence, outcome, and/or to dictate treatment
In cancer biology there are two genomes Tumor (somatic) Patient (germline)
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Genomic Medicine and Breast Cancer Past
Treatment based on: Clinical features of the tumor (size, pathologic grade, nodal metastasis) Expression and/or genetic abnormalities of one
or a few genes in the tumor
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The First Therapy Based on Tumor Phenotype Estrogen Receptor
Beatson, Lancet 148: 104, 1896
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Case History 33 year old premenopausal woman presented with a 11 X 8 cm left breast tumor with skin involvement Patient underwent radical mastectomy 3 months later presented with diffuse chest wall and skin involvement with tumor and apparent metastatic disease in her thyroid Patient underwent oophorectomy 1 month later and had a complete remission of her tumor and survived for 4 years
The First Therapy Based on Tumor Phenotype Estrogen Receptor
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Cytosol Nucleus
E2
ER
E2
ER ER
ER ER E2
mRNA DNA
The First Therapy Based on Tumor Phenotype Estrogen Receptor
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Slamon et al., Science 235: 177, 1987
The First Therapy Based on Tumor Genotype HER2/Neu amplification
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Slamon et al., Science 235: 177, 1987
The First Therapy Based on Tumor Genotype HER2/Neu amplification
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TK TKTK
EGFR(HER-1, ERBB-1)
HER-2(ERBB-2, Neu)
HER-3(ERBB-3)
HER-4(ERBB-4)
EGFTGFα
β- CellulinEpiregulin
AmphiregulinHB-GF NRG-1
HB-GFNRG-1NRG-2NRG-3NRG-4
TK
The First Therapy Based on Tumor Genotype HER2/Neu amplification
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TK
EGFR/HER-2 HER-3/HER-2 HER-4/HER-2
TKTK TK TK
HER-3 Ligands
HER-4 Ligands
TK
EGFR Ligands
ProliferationAnti-apoptosisInvasionMigrationAdhesionAngiogenesisDifferentiation
SOSGRB2
RASMEK
MAPK
PI3KAKT
The First Therapy Based on Tumor Genotype HER2/Neu amplification
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Genomic Medicine and Breast Cancer Present
Treatment based on: Clinical features of the tumor (size, pathologic grade, nodal metastasis) Expression and/or genetic abnormalities of multiple
genes in the tumor Estrogen Receptor and Progesterone Receptor HER2/Neu Amplification Recurrence Score Gene Expression Microarrays
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Recurrence Score
Developed to stratify the risk of relapse and/or need for chemotherapy Early stage Hormone receptor positive tumors Node negative Tamoxifen treated 21 Gene set developed from literature and array experiments Designed to use Quantitative Reverse Transcription PCR (qRT-PCR) of RNA from formalin fixed paraffin-embedded tumor tissue
Paik et al., N Engl J Med 351: 2817, 2004
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Recurrence Score Quantitative Reverse Transcription PCR
5’ 3’ mRNA
5’ 3’ cDNA 3’ 5’
3’ 5’ 5’ 3’
Bind Molecular Probe
R Q
Reverse Transcribe RNA
Molecular Probe
Perform PCR
3’ 5’ 3’
R
Q
Probe cleavage and release of reporter
Multiple Rounds of PCR
R R
R
R
R
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PROLIFERATION Ki-67 STK15 Survivin Cyclin B1 MYBL2
OTHER GSTM1 CD68 BAG1
HER2 GRB7 HER2
INVASION Stromolysin 3 Cathepsin L2
ESTROGEN ER PR Bcl2 SCUBE2
REFERENCE Beta-actin GAPDH RPLPO GUS TFRC
Recurrence Score mRNA Targets
Paik et al., N Engl J Med 351: 2817, 2004
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Paik et al., N Engl J Med 351: 2817, 2004
Continuous Predictor of Recurrence
Recurrence Score
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Paik et al., N Engl J Med 351: 2817, 2004
Prognosis
RS≤17
RS 18-30
RS≥31
Score RR at 10y % Pts
51
22
27
6.8
14.3
30.5
Low (338)
Intermediate (149)
High (181)
Risk
p<0.00001
Recurrence Score
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A:<= 1cm B:1.1-2.0cm C:2.1-4.0cm D:>= 4.1cmClinical.Tumor.Size
0
20
40
60
80
100
Rec
urre
nce.
Sco
reR
ecur
renc
e Sc
ore
≤ 1 cm 1.1 - 2 cm 2.1 - 4 cm > 4 cm
Clinical Tumor Size
16% 25% 30% 33%
20% 19% 23% 21%
64% 56% 46% 46%
N=110 N=318 N=196 N=24
p=0.001
A:<= 1cm B:1.1-2.0cm C:2.1-4.0cm D:>= 4.1cmClinical.Tumor.Size
0
20
40
60
80
100
Rec
urre
nce.
Sco
reR
ecur
renc
e Sc
ore
≤ 1 cm 1.1 - 2 cm 2.1 - 4 cm > 4 cm
Clinical Tumor Size
16% 25% 30% 33%
20% 19% 23% 21%
64% 56% 46% 46%
N=110 N=318 N=196 N=24
A:<= 1cm B:1.1-2.0cm C:2.1-4.0cm D:>= 4.1cmClinical.Tumor.Size
0
20
40
60
80
100
Rec
urre
nce.
Sco
reR
ecur
renc
e Sc
ore
≤ 1 cm 1.1 - 2 cm 2.1 - 4 cm > 4 cm
Clinical Tumor Size
16% 25% 30% 33%
20% 19% 23% 21%
64% 56% 46% 46%
N=110 N=318 N=196 N=24
p=0.001
Recurrence Score Tumor Size
Paik et al., J Clin Oncol 24: 3726, 2006
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A:Well B:Moderate C:PoorTumor.Grade.A
0
20
40
60
80
100
Rec
urre
nce.
Scor
eR
ecur
renc
e Sc
ore
Well
Tumor Grade (Site)
Moderate Poor
12% 22% 42%
16% 22% 22%
73% 56% 36%
N=77 N=339 N=163
p<0.001
A:Well B:Moderate C:PoorTumor.Grade.A
0
20
40
60
80
100
Rec
urre
nce.
Scor
eR
ecur
renc
e Sc
ore
Well
Tumor Grade (Site)
Moderate Poor
12% 22% 42%
16% 22% 22%
73% 56% 36%
N=77 N=339 N=163
A:Well B:Moderate C:PoorTumor.Grade.A
0
20
40
60
80
100
Rec
urre
nce.
Scor
eR
ecur
renc
e Sc
ore
Well
Tumor Grade (Site)
Moderate Poor
12% 22% 42%
16% 22% 22%
73% 56% 36%
N=77 N=339 N=163
p<0.001
Paik, S: ASCO 2006
Recurrence Score Tumor Grade
Paik et al., J Clin Oncol 24: 3726, 2006
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Oncotype Risk Group
HER2/Neu Amplified
HER2/Neu Not Amplified
Total
Low Risk 0 334 334
Intermediate Risk 5 142 147
High Risk 50 129 179
Total 55 605 660
Paik S: ASCO 2006
Recurrence Score HER2/Neu Amplification
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Recurrence Score Node Positive Tumors
Dowsett et al., J Clin Oncol 28: 1829, 2010
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Dowsett et al., J Clin Oncol 28: 1829, 2010
Recurrence Score Node Positive Tumors
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Recurrence Score and Chemotherapy Node Negative Tumors
All Patients
Intermediate Risk RS 18-30
Low Risk RS≤17
High Risk RS ≥31
(424) (227)
(117) (47)
(84) (45)
(218) (135)
Paik et al., J Clin Onc 24: 3726, 2006
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Gene Expression Microarrays MammaPrint
Developed to predict risk of relapse in early stage patients Early stage Hormone receptor postive and negative Node positive and negative 70 gene set developed from cDNA microarray of ~25,000 genes
van’t Veer et al., Nature, 415, 530, 2002 Van der Vijvir et al., N Engl J Med 347, 1999, 2002
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Feero WG et al., N Engl J Med 362: 2001, 2010
Gene Expression Microarrays Microarray Technology
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Van der Vijvir et al., N Engl J Med 347: 1999, 2002
Gene Expression Microarrays Mammaprint
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Van der Vijvir et al., N Engl J Med 347, 1999, 2002
Gene Expression Microarrays Mammaprint
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Van der Vijvir et al., N Engl J Med 347, 1999, 2002
Gene Expression Microarrays Mammaprint
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Comparison of Molecular Classifications of Breast Cancer
Fan et al., N Engl J Med 355: 560, 2006
21 genes 70 genes
476 genes 442 genes
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Genomic Medicine and Breast Cancer Future
Treatment based on: Clinical features of the tumor (size, pathologic grade, nodal metastasis) Expression and/or genetic abnormalities of multiple
genes in the tumor Estrogen Receptor and Progesterone Receptor HER2/Neu Amplification Measures of multiple gene expression Pharmacogenomics Whole genome sequencing
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Expression Profiling of Breast Cancer Intrinsic subtypes
Sorlie et al., Proc Natl Acad Sci U S A. 98:10869, 2001
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Molecular Profiling of Breast Cancer Triple Negative Breast Cancer
Lehmann et al., J Clin Invest 121: 2767, 2011
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Using genetic information (genotype or phenotype) to predict drug efficacy or toxicity
Pharmacogenomics
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Using genetic information (genotype or phenotype) to predict drug efficacy or toxicity
In Cancer Biology there are two genomes Tumor (somatic) Patient (germline)
Pharmacogenomics
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Tumor Pharmacogenomics: Presence of the therapeutic target predicts treatment benefit Estrogen Receptor HER2/Neu amplification
Pharmacogenomics
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Tumor Pharmacogenomics: Presence of the therapeutic target predicts treatment benefit Estrogen Receptor HER2/Neu amplification
Anti-hormonal agents
Anti-HER2/Neu agents
Pharmacogenomics
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Tumor Pharmacogenomics: Genetic abnormality that predicts a treatment benefit BRCA1 and BRCA2 mutations
Pharmacogenomics
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DNA damage Double Strand DNA Breaks DNA Repaired
Homologous Recombination BRCA1 and BRCA2
Alternative Repair e.g., PARP
Pharmacogenomics
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DNA damage Double Strand DNA Breaks DNA Repaired
Homologous Recombination BRCA1 and BRCA2
Alternative Repair e.g., PARP
Pharmacogenomics
X
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DNA damage Double Strand DNA Breaks
Homologous Recombination BRCA1 and BRCA2
Alternative Repair e.g., PARP
Pharmacogenomics
X PARP inhibitors Cell Death
XX
X
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Patient Pharmacogenomics: Presence of genotypic or phenotypic markers in the patient that predict a drugs efficacy or toxicity
Pharmacogenomics
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Patient Pharmacogenomics Phenotype and Hormonal Treatment
Hypothalamus
Pituitary
Ovary
E2
LHRH
LH FSH
Adrenal Gland
A
E2
Aromatase
FatSkin
Breast CancerBreast Cancer
ER
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Patient Pharmacogenomics Phenotype and Hormonal Treatment
Hypothalamus
Pituitary
Ovary
E2
LHRH
LH FSH
Adrenal Gland
A
E2
Aromatase
FatSkin
Breast CancerBreast Cancer
ER
Premenopausal Women Postmenopausal Women
Both
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Patient Pharmacogenomics: Presence of genotypic or phenotypic markers in the patient that predict a drugs efficacy Metabolic enzyme isotypes may affect metabolism of
drugs e.g., cytochrome p450 enzymes Most commonly single nucleotide polymorphisms (SNPs)
Pharmacogenomics
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Genomic Sequence Variation Single Nucleotide Polymorphism (SNP) Arrays
Feero WG et al. N Engl J Med 362: 2001, 2010
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Feero WG et al. N Engl J Med 362: 2001, 2010
Genomic Sequence Variation Whole Genome Sequencing
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Wood et al., Science 318: 1108, 2007
Genomic Sequence Variation Whole Genome Sequencing
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Wood et al., Science 318: 1108, 2007
Genomic Sequence Variation Whole Genome Sequencing
PI3K Pathway Mutations
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Genomic Medicine and Breast Cancer Past, Present, and Future
Prognostic determination and treatment decisions Past: Tumor characteristics (size, grade, nodal metastasis) Expression or mutation of a few genes e.g., ER, PR, HER2/Neu Present: Tumor characteristics (size, grade, nodal metastasis) Expression or mutation of a multiple genes primarily in the tumor e.g., Recurrence Score, Microarrays Future: Tumor characteristics (size, grade, nodal metastasis) Expression or mutation of many (perhaps hundreds) of genes in the
tumor and the patient e.g., Whole genome sequencing, SNP arrays
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