pet biomarkers: beyond fdg - eortc
TRANSCRIPT
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PET Biomarkers: Beyond FDG
David A. MankoffSeattle Cancer Care Alliance and
University of WashingtonSeattle, WA, USA
work supported by NIH Grants CA42045, CA72064, MH63641, CA90771, S10 RR17229
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Cautions
• Many of the imaging methods presented are considered investigational
• Discussion of results and possible applications is not a claim of clinical efficacy
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Imaging to Direct Cancer Therapy:Outline
• Clinical questions and biologic targets• Examples of applications to cancer care
• Assess the therapeutic targets• Identify resistance factors• Measure early response to treatment• Relate treatment response to patient
outcome
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Existing Paradigm for Cancer Imaging:Find the Cancer
• Established role:• Detect cancer• Find how far cancer has spread
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Existing Cancer Imaging Paradigm:Targets for Detecting Tumor CellsHigher in Tumor than Normal Tissue
Protein Synthesis
Amino Acids
DNA Synthesis
Thymidine & Analogs
Energy Metabolism
FDGFDG, Acetate
Membrane Synthesis
Choline, Acetate
Blood Flow
Water, Sestamibi
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Internal Mammary Nodal Uptake on FDG PET:Locally Advanced Breast Cancer Pre-Therapy
Breast Tumor IM Node
Emission
Transmission
(Bellon, Am J Clin Oncol, 2004)
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A New Paradigm for Cancer Imaging:Help Direct Cancer Treatment
• New role for imaging:• Guide cancer treatment selection• Evaluate early treatment response
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Imaging and Targeted TherapyHelp Match Therapy to Tumor Biology
• Goals in cancer treatment• Characterize tumor biology pre-Rx• Individualized, specific therapy• Static response may be acceptable
• The implied needs for cancer imaging• Characterize in vivo tumor biology• Identify targets, predict response• Measure tumor response (early!)• Pick treatments most likely to prolong survival
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Emerging Cancer Imaging Paradigm:Measure Factors Affecting Response
Variable Levels in Tumor
Surface Receptors
Octreotide
Proliferative Rate
Thymidine & Analogs
Glycolytic Rate
FDG
Hypoxia
FMISO, ATSM
Drug TransportMIBI, Verapamil,
F-Paclitaxel
Nuclear Receptors
FES, FDHT
Angiogenesis
Water RGD Peptides
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Imaging Requirement for Biomarker Imaging:Simultaneously Localize and Characterize Disease Sites
FDG PET
PET/CT Fusion
FESFDG
Glucose Metabolism
Estradiol Binding
Functional/Anatomic Imaging
Functional Imaging Combinations
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Imaging Requirement for Biomarker Imaging:Image Acquisition and Quantitative Analysis
Time
Dynamic Imaging
Blood
Tissue
Region-of-Interest Analysis
Time-Activity Curves
Parameter Estimates
Kinetic Modeling
TumorVentricle
Inject Tracer
Static ImageStatic
Uptake Measure
(SUV)
• Dynamic protocols• Allows kinetic modeling• Full range of analysis
options• But … not for everyone
• Static protocols• Clinically feasible, robust• But … only simple
quantification possible
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Imaging and Clinical Trials
Choices for Imaging Approaches
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Specific Examples of PET Imaging to Direct Cancer Therapy
• Assess the therapeutic target
• Identify resistance factors
• Measure early response
• Relate response to outcome
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Identifying Therapeutic Targets using Imaging:Why?
• Imaging can measure the level of expression• Heterogeneity - spatial and temporal• Especially for advanced disease
• Imaging can measure the in vivo effect of drug therapy on the target. Examples:• Target antagonism• Change in target expression
• Imaging is quantitative• Complementary to in vitro assay
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[F-18]-Fluoroestradiol (FES):PET Estrogen Receptor (ER) Imaging
FES Estradiol
HO
OH
HO
OH
F*
(Kieswetter, J Nucl Med, 1984)
RBA(FES vs Estradiol)
ER 0.9SHBG 0.8
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Validation: ER+ vs ER- TumorsFDG FES
ER-
ER+Liver
Glucose Metabolism ER Expression
axial
coronal
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FES Uptake Predicts Breast Cancer Response to Hormonal Therapy
Pre-Rx Post-Rx
FES FDG FDG• Newly Dx’d met breast CA
• ER+ primary
• FES-negative bone mets
No responseto several different
hormonal Rx’s
University of Washington
• Recurrent sternal lesion
• ER+ primary
• Recurrent Dzstrongly FES+
Excellent responseafter 6 wks Letrozole
Example 1
Example 2
(Linden, J Clin Onc, 2006)
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FES Uptake Predicts Response of Advanced Breast Cancer to Hormonal Therapy
(Mortimer, J Clin Onc, 2001)
0
2
4
6
8
10 HER2 NegHER2 Pos
Non-RespondersResponders
LABC or Metastatic Br CA Primary Tamoxifen Rx
Recurrent or Metastatic Br CA Aromatase Inhibitor Rx
(P < .01 for both)FE
S SU
V(Linden, J Clin
Onc, 2006)
FES
SUV
Responders Non-Responders
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FES PET Measures Fulvestrant ER Antagonism In Vivo
SUV= 7.4
Pre-Fulvestrant Post-Fulvestrant250 mg qm
Post-Fulvestrant500 mg qm
5 MonthsPre-Rx 1 month
(Stable Dz, No Response) (Dz Progression)
Liver
SUV=3.1
SUV=3.2
Uterus
(FES PET, Coronal Slices)
(Linden, SABCS, 2005)
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Imaging Androgen Receptor (AR) BlockadeDehdashti, EJNMMI 32:344, 2005
18F-fluorodihydrotestosterone (FDHT)
Pre-Flutamide
Post-Flutamide
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Specific Examples of PET Imaging to Direct Cancer Therapy
• Assess the therapeutic target
• Identify resistance factors
• Measure early response
• Relate response to outcome
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Agents for Identifying Tumor Resistance Factors
• Hypoxia• 18FMISO, 60Cu-ATSM, 18FIAZA, 18F-EF5
• Drug transport/efflux ( p-gp)• 11C-verapamil, 11C -colchicine,
11C - or 18F -paclitaxel, 94mTc -sestamibi
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University of Washington KA Krohn
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Tumor Hypoxia Quantified by PET Predicts Survival
High Uptake
Low Uptake
(Dehdashti, Int J Radiat Oncol Biol Phys, 2003)
Low FMISO Uptake
High FMISO Uptake
(Rajendran, Clin Can Res, 2007)
FMISO PET H & N Cancer
Cu-ATSM PET Cervical Cancer
(Spence, UW)
FMISO PET Brain Tumor
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Imaging to Direct Hypoxia-Specific TreatmentRischin J Clin Oncol 24:298, 2006
• Advanced H & N Ca• Randomized to
• XRT + Cisplatin/5-FU• XRT + Cisplatin/Tirapazamine (TPZ)
• FMISO PET (observational only)
FDG PET
FMISO PET
Time-to-Locoregional Failure
FMISO+/5FU
FMISO+/TPZ
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Resistance Due to altered Drug Transport:PET to Measure P-gp Drug Transport
P-gpP-gp susceptible drug
11C-Verapamil
P-gpP-gp susceptible drug
11C-Verapamil xP-gp blockade
e.g., cyclosporine
Hypotheses:-P-gp limits drug transport into the brain-Inhibiting P-gp will increase brain transport
(Hendrickse, Br j Pharmacol, 1998)
Other P-gp RPs:
•Sestamibi
•F-paclitaxel
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Imaging P-gp Activity in vivo in Humans[11C]-Verapamil images pre- and post-cyclosporine (CSA)
Pre-CsA Post-CsAMRI
(Sosangko, Clin Pharm Ther, 2005)
88% +/- 12% increase in Verap. AUC post- vs pre-CSA (N= 12, P < .01)
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Specific Examples of PET Imaging to Direct Cancer Therapy
• Assess the therapeutic target
• Identify resistance factors
• Measure early response
• Relate response to outcome
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Response of GIST to Imatinib Measured by FDG PET
Pre-Rx 48 hrs
(Stroobants, Eur J Cancer 39:2012, 2003)
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Biologic Events in Response to Successful Cancer Therapy
Cellular Proliferationor
Cell Death
Viable Cell Number
Tumor size
Rx
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Cell Proliferation Imaging Agents
• Gold standard - thymidine• Methyl or 2-11C-Thymidine
• Analogs with minimal metabolism• 18FLT• 18FMAU
• Analogs with longer half-life• 124IUdR
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FDG(Glucose
Metabolism)
Thymidine(proliferation) Marrow (with mets)
Post-RxPre-Rx
Tumor
Small Cell Lung Cancer:PET Imaging Pre-and Post One Cycle of Rx
7 days(Shields, J Nucl Med, 1998)
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Thymidine Analogs forPET Cell Proliferation Imaging
Clinically Feasible Isotope and Imaging Protocol
(Shields AF, from Mankoff, Shields, and Krohn, Rad Clin N Amer 43:153, 2005)
N
NH
O
OO
HO
*F
18F-Fluoro-L-thymidine(FLT)
FLT PET Images of Lung Cancer
(Grierson, Nucl Med Biol 27:143, 2000)
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Early Response of Breast Measured by FLT PETKenny, EJNMMI 34:1339, 2007
Pre-FEC 1 wk Post-FEC
Response
No-Response
FLT Uptake Reproducibility:
10% -15%
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FLT Brain Tumor Imaging to Measure Response:Proliferation or BBB Breakdown?
Muzi, J Nucl Med, 2006
Plasma Tissue
[FLT]pK1FLT
k2FLT
k3FLT
k4FLT
FreeFLT
FLT-MP
FluxFLT =K1FLT � k3FLT
k2FLT + k3FLT
Kinetic model:
(Visvikis, Eur J Nucl Med Mol Imag, 2003;
Muzi, J Nucl Med, 2005)
Post-RT
0.10
0.0
mL/
g/m
in
1 )
Parametric Imaging:Transport
FluxFLT
Summed
MRI
Pre-RT
Parameter Pre-RT Post-RTFlux 0.030 0.017K1 0.066 0.059
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Specific Examples of PET Imaging to Direct Cancer Therapy
• Assess the therapeutic target
• Identify resistance factors
• Measure early response
• Relate response to outcome
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A Mismatch Between Tumor Metabolism and Perfusion Predicts Poor Response
MRI Transfer Constant
FDG PET SUV
(Semple, Annals Oncol, 17: 1393, 2006)
DCE MRI and FDG PET
(Mankoff, J Nucl Med 43: 500, 2002)
15O-water and FDG PET
FDG (30 - 60 minute)
MRFDG = 17 μmole/min/100g
Heart
15O-Water (30 - 60 sec)
F = 0.28 mL/min/g
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Blood Flow and Metabolism Patterns of Change with Neo-Adjuvant Chemotherapy
Altered Metabolic Phenotype with Rx
0
0.02
0.04
0.06
0 0.2 0.4 0.6
Blood flow (mL/min/g)
mCR pre-PR pre-NR pre-mCR post-PR post-NR post-
NR
CRPR Normal
Breast
Met
abol
ism
(Tseng, J Nucl Med, 45:1829, 2004)
Worse
Better
Pre-Rx Phenotype vs Outcome
Pre-Post Rx Changes
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Changing Metabolic Phenotype in Resistant Br CA Treated with Neo-Adjuvant Chemotherapy
Substrate Use
Substrate Delivery
Substrate Use
Substrate Delivery
Balanced Metabolism
Aberrant Metabolism
‘d Glucose Metabolism
‘d Blood Flow
ChemoRx
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PET Biomarkers Beyond FDG:Summary
• Imaging ideally suited to testing new targeted drugs• Imaging can help targeted drug testing and clinical practice
by:• Better patient selection:
• Identifying the therapeutic target• Identifying possible resistance factors
• Better assessment of efficacy• Early measure of response• Relating response to patient outcome
• In vivo assessment by imaging is complementary to in vitromolecular assay of biopsy material
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Acknowledgements:UW PET Cancer P01
P01CA42045, Ken Krohn, PI• Project 1 - Brain Tumors
• Alex Spence• Peoject 2 - Lymphoma
• Janet Eary, Ollie Press• Project 3 - Head and Neck Cancer
• Joseph Rajendran• Project 4 - Breast Cancer
• David Mankoff, Hannah Linden• Project 5 - Sarcoma
• Chappie Conrad, Janet Eary• Project 6- Endocrine Tumors
• Jeanne Link, Gary Mann
• Core A - Radiochemistry• Jeanne Link
• Core B - Physics• Tom Lewellen, Paul Kinahan
• Core C - Data analysis• Mark Muzi, Finbarr O’Sullivan
• Core D - Molecular Pathology• Jonathan Tait, Kevin Yagle
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UW PET Cancer Imaging Research:Key Collaborators
NeurologyAlex Spence
Surgery/OrthopedicsDavid ByrdEarnest ConradGary Mann
OncologyGeorgiana EllisJulie GralowHannah LindenRobert LivingstonOllie PressJennifer SpechtLavanya Sundararajan
Radiation OncologyJanet RaseyJeffrey Schwartz Michelle Yao
PharmaceuticsJashvant Unadkat
RadiologyWilliam EubankConnie Lehman
PathologyThomas LawtonJonathan TaitPeggy Porter (FHCRC)Allen Gown (Phenopath)
BiochemistryPhilip Petra
Cardiology/BioengineeringJames BassingthwaiteJames Caldwell
BiostatisticsWilliam Barlow (CRAB)Brenda Kurland