horizons 2013: connecting the aapm and the nci ps-oc ... · shorter time course – targit trial...
TRANSCRIPT
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Horizons 2013: Connecting the AAPM and the NCI PS-OC Program
Clinical Applications of Physical Sciences in Breast Oncology: One Cancer Surgeon’s
Perspective
E. Shelley Hwang MD, MPH Duke Comprehensive Cancer Center
November 7, 2013
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Applications of Physical Sciences in Breast Oncology
• Diagnosis – Breast tomosynthesis – 3D CT – Breast density
• Treatment – Surgery—Margin assessment – Radiation therapy
• Prevention/Surveillance/Prognosis (PSOC) – Breast Density – CTCs – Tumor heterogeneity
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Breast Cancer Diagnosis • More than 1 in 8 women in the United States will be diagnosed
with breast cancer; 250,000 diagnosed annually • Almost 40 million mammograms are done every year—
estimated cost of $5 -7 billion • Mammographic screening was implemented in the 1980’s
– Only 25% >5 MMG – Associated with reduction in breast cancer specific
mortality – Guidelines controversial
• New technologies – Tomosynthesis – 3D breast CT
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Joseph Lo, Duke University
Breast Tomosynthesis improves mammography sensitivity and specificity
• 2D mammo (L) missed cancer, easily seen on 3D tomo slice (R)
??? IDC
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Contrast-enhanced mammo/tomo
Standard FFDM, lesions obscured by anatomy
Standard tomo, remove overlap w/ 3D acquisition
Dual energy FFDM, subtract anatomy by energy cancelation
Temporal subtraction tomo, temporal + 3D to remove anatomy
Joseph Lo, Duke University
MMG tomosynthesis
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Cross-modality approach to measure breast tomosynthesis density
• Probabilistic model uses both anatomy and voxel values • Train with MRI, apply cross-modality to tomo
MRI: convert original image (left) to ground truth (right), which can train Hidden Markov Model to segment fibroglandular vs adipose tissue, then apply to tomo.
Tomo: original image (left), segmented dense tissue (mid), much better than traditional thresholding (right) that grossly overestimates density
Joseph Lo, Duke University
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3-D Breast Computerized Tomography (CT)
Lead-lined walls & doors
Radiopaque & contoured patient support
Laser positioning cross-hairs
Fully-3D motion of x-ray & digital detector
NO breast compression
Images acquisition in 10-12 minutes
McKinley et al. Proc. IWDM. Springer-Verlag. (2012):442-449. Zumatek / Duke
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3D CT pilot: Reader Results
• Preliminary studies indicate fully-3D breast CT has significant advantage over digital mammography in tumor detection
• Smallest observer detectable size in dense breast:
Detection sensitivity at 50X smaller volume
Digital Mammography
Digital Mammography – 7.8mm
Breast 3D CT Breast CT – 2.1mm
McKinley et al. SPIE Med. Imag. 6150(1D):1-10, 2007. Zumatek / Duke
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Photo of Breast Tissue
Cadaver breast measurements have Mean Breast Dose (MBD) <4.5 mGy per breast for fully-3D breast CT
MMG dose: 3.7 mGy
2D Dose ‘Heat’ Scale
mGy MBD = 4.3 mGy
Crotty et al. Medical Physics 38(6):3232, 2011. Zumatek / Duke
3D CT pilot: Dosimetry Assessment
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Sagittal Coronal MLO
McKinley et al. Proc. IWDM. Springer-Verlag. (2012):442-449. Zumatek / Duke
3D CT pilot: Image comparison between MMG and 3D CT
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Sagittal Coronal Axial
Madhav et al. 2007. IEEE Conference Record NSS/MIC, 5:3781. Duke
Combined dedicated breast SPECT and CT at Duke Systems are combined on the same gantry Illustrates utility of functional SPECT information along
with anatomy from bCT
Functional imaging: 3D CT/PET
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Breast Cancer Treatment
Almost 40,000 women undergo at least one repeat surgery
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Optical spectral mapping of reflectance spectroscopy leverages optical contrast
between normal and cancer tissue
1 Volynskaya, 2008; Zhu., 2006: Zhu, 2008; Palmer, 2006; Ghosh, 2001; Cerussi, 2006;
Hemoglobin absorption
Cell scattering
β-carotene absorption
Collagen scattering
“Negative margin”
“Positive margin”
Contrast 1 • β-carotene • Hemoglobin • Scattering
Shift to lower values
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Rapid Surveillance of a Tumor Margin in < 30 seconds
Bydlon and Brown et al, PLOS one,2013
Pixe
l
Log(Rc) (a.u.)
5 10 15 20
5101520253035
0
1
2
3
4
5Positive
DCIS
A
A+FG
FA
Negative
5 10 15 20 25 30
51015202530M
argin
Size
(mm
)
50
50
530
0 5 10 150
0.5
1
β-carotene/<µs'> (µM-cm)
Cum
ulat
ive P
roba
bility
NegativePositive
A B Shift to lower values
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Predictive models for margin assessment (75 patient study)
Image variables
• Median • Quantile thresholds • KS-statistic
Conditional Inference Tree
Variable 1
<3 >3
Negative Variable 2
<5 >5
Negative Positive
Bydlon and Brown, PloS One, 2013
Samples (n) Se (%) Sp (%) PPV NPV
All (88) 74 86 85 75
Low Density (48) 65 92 88 74
High Density (40) 83 76 83 76
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Radiation Therapy for breast cancer: Standard Approach
• External beam radiotherapy administered daily on an outpatient basis for 4-6 weeks
• Treatment considerations:
– Skin reactions – Fatigue – Exposure of healthy tissues (lung,
heart) – Access to radiation – Cost
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Novel Techniques of Administering Breast Radiation
• Hypofractionation: giving larger radiation doses over shorter time course – TARGIT trial
• Intraoperative radiation • Given for 30 min to lumpectomy site only • Part of an international prospective randomized
trial—endpoints recurrence, cosmesis – Preoperative radiosurgery
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Intrabeam single-dose radiation for breast cancer
• A complete system to deliver Intra-op RT directly into tumors, or tumor cavities.
• Generates and delivers a high dose of low energy (50KeV) x-rays in a precise, spherical distribution pattern around a point source
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1. Surgeon performs the lumpectomy 2. Surgeon sizes the cavity for the appropriate size applicator
Intrabeam Radiotherapy
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Intrabeam Radiotherapy
3. The Intrabeam is draped;applicator is affixed to the PRS 4. Surgeon places X-ray source and applicator inside cavity and
purse string stitch is used to approximate the tissue to the applicator for even dose distribution
5. Surgeon uses sterile shields to protects delicate tissues
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6. Radiation Oncologist sets the prescribed dose (5 gy to 1 cm) into the control console
7. Optional shielding is applied around the applicator to protect against scatter
8. Radiation treatment is delivered in 21 – 30 min.
Intrabeam Radiotherapy
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HR 0.94 Logrank p=0.56
HR 0.47 Logrank p=0.009
Breast Cancer Deaths 36 events
Non-Breast Cancer Deaths 52 events
Vaidya JS, et al: SABCS 2012, Abstract S4-1
IBTR (34 events)
HR 2.05 (1.01-4.25) Logrank p=0.042
Difference 2.01%
(0.32-3.7)
10% 5% 0%
0 1 2 3 4 5 years
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PREOPERATIVE PARTIAL BREAST RADIOSURGERY
cT1N0M0 breast cancer
Verify biopsy clip
Planning MRI/CT
Treatment
Dose Escalation Schedule
Dose Level RSU Dose
Level 1 15 Gy
Level 2 18 Gy
Level 3 21 Gy
Research MRI
Lumpectomy/SLN, biopsy
Acute toxicity evaluation
Dose Delivery • Prone position
– Rare supine • No breast immobilization • Kv/CBCT confirmation
Accrual • Opened 1/2010 • 1st patient treated: 8/10 • 2nd: 3/2011 • Completed with 32
patients: 3/2013
Objectives • Determine the maximum dose • Evaluate safety as measured by
acute (3-4 weeks) grade 3, 4 toxicity
• Local control/cosmesis • Paired tissue/imaging correlatives • Provide standard post-operative
RT for high risk features
Horton J et al; ASTRO 2013
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• Phase I Outcomes – Median follow-up:
• 6.9 months – 32 patients treated:
• 25 invasive • 7 DCIS
– No acute grade 3, 4 toxicities
– No recurrences to date
PREOPERATIVE PARTIAL BREAST RADIOSURGERY:
Time Point Patient-Reported
Cosmetic Outcome Physician Reported Cosmetic Outcome
Baseline 31 excellent/good 32 excellent/good (n=32) 1 fair/poor
6 months 22 excellent/good 20 excellent/good
(n=22|20)
12 months 10 excellent/good 8 excellent/good (n=11|10) 1 fair/poor *2 fair/poor
24 months 4 excellent/good 4 excellent/good
(n=5) 1 fair/poor *1 fair/poor *fair/poor outcomes both in patients receiving post-operative RT
Horton J et al; ASTRO 2013
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PSOC Collaborations
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Association Between Breast Density and Breast Cancer Risk
• Breast density strongly correlated with breast cancer risk (RR 4-6) • Heritable component (twin studies): 60% • Responsive to changes in exogenous and endogenous hormones
– HRT – Luteal phase of menstrual cycle – Menopause
• Lifestyle/modifiable
component: – Late age at first birth – Nulliparity – HRT
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Provenzano PP, BMC Med 2006
Epithelial cells are intimately connected to surrounding collagen in the ECM
In soft tissues, type I collagen accounts for 80-90% of all extracellular matrix (ECM) proteins general:
maintaining structural integrity contributing tensile strength to tissue
more specialized role in regulation of: cell polarity migration survival
Normal stroma: parallel orientation with respect to epithelium; newly synthesized peritumoral stroma loosely woven morphology and non-planar orientation
high MD associated with altered type I collagen production and altered collagen remodeling
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Increased collagen matrix density directly promotes epithelial cell proliferation. (a) Actin staining to visualize MCF10A human mammary epithelial cells cultured within low (1.3 mg/ml) and high-density (3.0 mg/ml) collagen gels for 21 days (actin, green; nuclei, blue). Left: Two well-differentiated acini structures formed in low-density matrices. Right: A single, less organized colony. (b) Increased proliferation of mammary epithelial cells cultured within high-density matrices, measured by increased detection of the Ki67 antigen, a marker of proliferation.
Provenzano PP, BMC Med 2008
Epithelial cells respond to the stiffness of the collagen matrix
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Collagen alignment facilitates invasion
Schedin P , Keely P J Cold Spring Harb Perspect Biol 2011
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Clinical/Translational implications for human breast cancer
• Geospatial relationship of breast stiffness – within and between breasts (areas of increased risk?) – with proximity to tumor
• Relationship/proximity to histophenotype & molecular
subtype • Predictor of invasive potential? Metastatic potential?
Treatment response?
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Methods to measure the ECM mechanical properties
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Alfred Au
20 um sections (3) 5 um sections (5) 5 um sections (5)
H and E H and E
Mechano H&E IHC molecular
PHOTO DETECTOR
LASER
CANTILEVER
Atomic Force Microscope
Stiffness Maps
Normal Fibroadenoma Tumor
(kPa)
Malignant Phenotype
Irene Acerbi
kP
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Malignant Phenotype
NORMAL ER+ve TUMOR ER-ve TUMOR
Structured illumination polarized microscopy (SIM-POL) imaging visualizes ECM orientation
Jan Liphardt UCBerkeley Quanming Shi
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Malignant phenotype in breast tissue is associated with higher collagen content (orthogonal PS signal), higher Fibronectin deposition, higher linearization of collagen (as seen with Second Harmonics Generation) and higher collagen cross-linkling (LysilOxidase LOX) staining.
This may be changing the mechanical properties of the tissue.
ECM remodeling and malignant phenotype
LOX DAPI 20 μm
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Differential Gene Expression in BRCA 1(+) stroma (prophylactic mastectomy)
BRCA1 mutation leads to dominant stromal phenotype? Enrichment analysis of the 1496 genes differentially expressed between BRCA1 group
and normal regardless of cell type
Polyak K, unpublished data
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Mechanical signaling pathways
Schedin P , Keely P J Cold Spring Harb Perspect Biol 2011
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MRI technique was compared to 2-dimensional mammography and showed a moderate correlation in an unselected group (R2=0.67) but very low correlation in patients with high breast density (R2=0.26), suggesting that there exists a compositional component to breast MR density that does not overlap with MMG breast density
Klifa C et al, MRI 2010
Constituents of mamographic density and breast MRI differ
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Swaby R et al, BMC Medicine, 2011
CellSearch technology • relies on immunomagnetic bead
enrichment step of EpCAM(+) cells
• Enrichment step can result in intact cells or fragmented cells
• 49% of Stage IV breast cancer CTC(+) (Cristofanilli, 2004)
CTC (CellSearch) prognostic in metastatic breast cancer
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CTC are prognostic in early stage invasive breast cancer
11/8/2013 42 Molloy TJ, Br Ca Res 2011
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PSOC0039 –0044: HD-CTC vs. CellSearch
43
Cancer Type HD-CTCs/mL HD-CTCs/7.5 mL CellSearch/7.5 mL Breast #1 49.3 369 1 Breast #2 87 652 0 Breast #3 33.4 250 1 Breast #4 199.3 1494 1 Breast #5 5 37 23
Prostate #1 2.3 17 0 Prostate #2 8.4 63 3 Prostate #3 107.3 804 21 Prostate #4 1.3 9 0 Prostate #5 150.5 1128 1 Prostate #6 0 0 0 Prostate #7 1.4 10 4 Prostate #8 1.5 11 1 Prostate #9 145.3 1089 6
Prostate #10 57.6 432 0
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Process for Finding HD-CTC
Prepare Cartridges Scan Cartridges
CTC Reports/ Professional Analysis
Technical Analysis 2
4
3
5
6
Run Algorithms
Store Cartridges
Thaw and process cartridges
7
CTC ID Centrifugation & Plating
CTC Assay
1
555 nm Morphometry
647nm
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All 103 CTCs identified on 1 slide from Stage IV prostate cancer patient (Kuhn: 1129/7.5mL; CellSearch: 1/7.5mL)
High Definition CTC = HD CTC
An Event that has an intact nucleus (DAPI+) And has cytokeratin (tissue origin marker) And has NOT CD45 (leucocyte origin
marker) And is morphologic distinct from
surrounding leucocytes And is displayed in diagnostic pathology
quality
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11/8/2013 46
Benign Patients
72.3
17.9 12.0
1.8 0.8 0.0 0.0
10.0
20.0
30.0
40.0
50.0
60.0
DeB1920DeB1931DeB1930DeB1923DeB1907DeB1903
cells
/mL
CTC/mL
2.8 2.5 1.7 0.9 0.6 0.0 0.0
10.0
20.0
30.0
40.0
50.0
60.0
DeB1931DeB1920DeB1907DeB1923DeB1903DeB1930
cells
/mL
“Apoptotic”/mL
13.2 9.1 9.0
3.6 2.8 2.8 0.0
10.0
20.0
30.0
40.0
50.0
60.0
DeB1903DeB1907DeB1920DeB1923DeB1931DeB1930
cells
/mL
Low CK/mL
11.9 6.3 6.2 5.8 3.2 2.8
0.0
10.0
20.0
30.0
40.0
50.0
60.0
DeB1920DeB1903DeB1923DeB1907DeB1930DeB1931
cells
/mL
Small CK/mL
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11/8/2013 47
Malignant Patients
47.2
35.8 27.9
15.4 11.5
5.9 5.3 3.5 3.2 0.4 0.0
10.0
20.0
30.0
40.0
50.0
60.0
cells
/mL
Small CK/mL
36.5 27.5
17.1 16.7 12.4 10.6 10.4
3.9 2.8 0.4 0.0
10.0
20.0
30.0
40.0
50.0
60.0
cells
/mL
Low CK/mL
5.6 4.1 2.0 2.0 1.3 0.9 0.8 0.7 0.4 0.0 0.0
10.0
20.0
30.0
40.0
50.0
60.0
cells
/mL
“Apoptotic”/mL
270.6 176.9
4.6 0.4 0.0 0.0 0.0 0.0 0.0 0.0 0.0
10.0
20.0
30.0
40.0
50.0
60.0
cells
/mL
CTC/mL
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CTC CK Intensity
CK
Inte
nsity
DeB19
07
DeB19
20
DeB19
23
DeB19
30
DeB19
31
DeB19
14
DeBTN12
0005
0
DeBTN12
0005
1
DebTN12
0005
2
0
20
40
60
80
100
11/8/2013 48
Cytokeratin and EpCAM Intensity for all CTCs
Very dim CK
Benign
Malignant
CTC EpCAM Intensity
EpC
AM In
tens
ityDeB
1907
DeB19
20
DeB19
23
DeB19
30
DeB19
31
DeB19
14
DeBTN12
0005
0
DeBTN12
0005
1
DebTN12
0005
2
0
20
40
60
80
100
Benign
Malignant
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CTCs and Diagnosis
11/8/2013 49
Benign vs Malignant
Patient DiagnosisC
TC/m
L
Benign
Malignan
t0
100
200
300
Benign vs Malignant
Patient Diagnosis
Apop
/mL
Benign
Malignan
t0
2
4
6
8
10
Benign vs Malignant
Patient Diagnosis
Low
CK
/mL
Benign
Malignan
t0
10
20
30
40
Benign vs Malignant
Patient Diagnosis
Smal
l CK
/mL
Benign
Malignan
t0
10
20
30
40
50
CTC Benign Malignant Mean 17.47 45.25
Std. Deviation 27.8 96.65 Std. Error 11.35 30.56
Apoptotic Benign Malignant Mean 1.417 1.78
Std. Deviation 1.105 1.773 Std. Error 0.4512 0.5605
Low CK Benign Malignant Mean 6.75 13.83
Std. Deviation 4.32 11.28 Std. Error 1.764 3.566
Small CK Benign Malignant Mean 6.033 15.61
Std. Deviation 3.257 16.01 Std. Error 1.33 5.062
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50
DeB1920
DeB1930
DeB1931
3 Benign Patients
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51
DeBTN1200050 2 Malignant Patients
DeBTN1200052
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Within-tumor diversity as a predictor of cancer development risk. Tumors with low diversity (left) contain few clones and so are unlikely to contain a clone with malignant potential, that is able to adapt to the changing environment within an evolving tumor.
Within-tumor diversity and risk of cancer progression
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Circos plots of two samples (blue and green) from the same lung adenocarcinoma. This is an example of a patient with high levels of LOH and divergence between the two regions. Other patients had high levels of LOH but low divergence scores. B. Kaplan-Meier survival curves for all 58 lung adenocarcinoma patients included in the study, stratified by genetic divergence as measured on SNP arrays.
Heterogeneity is associated with clinical outcome
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DCIS is Part of a Continuum of Pathologic Change
Burstein HJ, et al. N Engl J Med. 2004.
Rate? Fate?
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Summary
• The physical sciences are the cornerstone of cancer diagnosis and treatment
• Advances in engineering >>> more effective therapy with less toxicity
• “wild side” of physical sciences will be the source of future advances in oncology
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Collaborators • Bay Area PSOC
(Liphardt/Weaver) • Scripps PSOC (Kuhn) • Maley Lab (UCSF) • UCSF Breast Oncology
Program
• Funding: – PSOC/SAIC-F – Komen – Breast Cancer Research
Foundation/TBCRC
• Duke: – Jeff Marks Lab – Joseph Lo Lab – Martin Tornai Lab – Nimmi Ramanujam Lab – Janet Horton and Duke
Radiation Oncology Department
– Duke Cancer Institute
• Patients and their families who participate in research