1. epic sciences, la jolla, ca; 2 ......sdfsdfsdf study population molecular characterization of...

1
sdfsdfsdf Study Population Molecular Characterization of Circulating Tumor Cells (CTCs) and CTC subpopulations in progressive metastatic Castration Resistant Prostate Cancer ( mCRPC ) Ryan Dittamore 1 , Jessica Louw 1 , Rachel Krupa 1 , Aseem Anand 2 , Daniel Danila 2,3 , Zaina Arslan 2 , Nicole Schreiber 2 , Natalee Bales 1 , Dena Marrinucci 1 , Howard I. Scher 2,3 1. Epic Sciences, La Jolla, CA; 2. Sidney Kimmel Center for Prostate and Urologic Cancers, Memorial Sloan-Kettering Cancer Center, New York, NY 3. Department of Medicine, Weill Cornell Medical College, New York, NY Background Numerous resistance mechanisms have been postulated in progressive mCRPC. Determining the presence of putative predictive biomarkers in patients requires a real-time tumor assessment because the biology changes under the influence of the specific therapy(ies) that a patient (Pt) has received. We examined CTC and CTC subpopulation incidence and molecular characterization of tumors from Pts with progressive mCRPC to assess if a predictive model could be developed to identify true responders from de novo resistance of androgen targeting therapeutics. Using the Epic Sciences CTC platform, CTC incidence was increased compared to CellSearch ® CTC with 93% of samples accessed exhibiting >5 Epic “Traditional” CTCs/7.5mL. Additionally, novel CTC subpopulations were identified which demonstrated expression of PCa specific proteins and genomics (Figure 6) with 100% of patients exhibiting any CTC subpopulation at >5 CTC/7.5mL (Table 2 & Figure 2). CTC AR expression and CK - CTCs w/outcome 1. Epic CTC analysis provides higher detection rates than CellSearch® CTC in this cohort. 2. Novel CTC populations were detected in all (38) patients with 5 or more “traditional” CTC/7.5mL. 3. Notable was the marked heterogeneity of AR expression and subcellular localization in CTCs. 4. AR expression, heterogeneity and localization in CTCs along with frequency of CK- CTCs may play a role in progression of AR tx. 5. Studies are ongoing to quantitative measures we are reporting and undergoing further prospective validation. 41 samples from 30 unique mCRPC pts treated with androgen receptor targeted (AR tx) therapies; 27 samples were from progressive pts and 14 samples from baseline pts. 24/27 (46.7%) of progressive patients were treated with Abiraterone plus Prednisone (AA+P) and 3/27 (53.3%) with Enzalutamide (E). Baseline samples were collected for 5/14 pts receiving AA+P, and 9/14 on E. Progressive pts were described as either de novo resistance, acquired resistance or true responders. Baseline pts were followed and received similar designation. Samples were collected and shipped to Epic Sciences where cells were stained and CTCs identified by fluorescent scanners and algorithmic analysis (Figure 1). CTCs, defined as traditional (CK+CD45- with intact DAPI nuclei and morphologically distinct), apopotic (CK+CD45-, non-intact nuclei), small (CK+,CD45-, intact small nucleus) and CK- (CK-CD45-, intact and morphologically distinct) were identified (Figure 2). CTCs reported per mL of blood were examined for AR expression by immunofluorescence (IF), and for PTEN loss and ERG rearrangements by FISH. CTC data were analyzed in context of PSA, CellSearch ® CTC count (reported per 7.5mL of blood), and clinical history. Methods www.epicsciences.com Figure 1: Schematic of Epic’s CTC collection and detection process: 1) Nucleated cells from blood sample placed onto slides 2) Slides stored in -80C biorepository 3) Slides stained with CK, CD45, DAPI and AR 4) Slides scanned 5) Multi-parametric digital pathology algorithms run 6) Software and human reader confirmation of CTCs & quantitation of biomarker expression 7) For FISH, coordinates are recorded and coverslip removed 8) FISH assay is run 9) Regional WBCs are scored to assess normal 10) CTCs relocated and scored CTC Coordinates Recorded Coverslip Removed CTC Enumeration Run FISH Assay Score WBCs Relocate & Score CTCs 7 8 9 10 Characteristic No. (%) or Median (range) Characteristic No. (%) or Median (range) Number of patients 30 Metastatic Disease Age, years 67.5 (47 85) Bone 29 (97%) Primary Treatment Lymph Node 22 (73%) Prostatectomy 15 (50%) Liver 5 (17%) Radiation 8 (27%) Lung 3 (10%) None 7 (23%) Other Soft Tissue 3 (10%) Therapies Laboratory Measures Hormone Therapies PSA, ng/mL 74.5 (1.9 - 9222) 1 -2 line 5 (17%) Hgb, (g/dl) 11.9 (7.4 - 16) 3 lines 12 (40%) ALK, (unit/L) 138 (54 - 562) > 4 lines 13 (43%) LDH, (unit/L) 243.5 (163 - 976) Chemo-naïve 20 (67%) ALB, (g/dl) 4.3 (3.6 - 5) Chemo-exposed 10 (33%) CTC, (cells/7.5mL) 6 (0 - >200) Table 1. Patient demographic and clinical characteristics at time of inclusion in the study. CTC Frequency Composite DAPI CK CD45 AR Composite DAPI CK CD45 AR Composite DAPI CK CD45 AR Traditional CTC Cluster (CK+CD45-) Traditional CTC (CK+CD45-) CK-CTC (CK-CD45-) Figure 6. Representative images of traditional, CK negative, small, and apoptotic CTCs. Inclusive of ERG rearrangement Apoptotic CTC (CK+CD45-, non-intact nucleus) Composite DAPI CK CD45 AR Figure 2. Matched blood samples were processed utilizing CellSearch ® and Epic Sciences CTC platform. CellSearch ® enumeration limited to 200 CTCs. Epic CTCs were measured from 1mL and extrapolated to 7.5 mL of blood. CTC Subpopulations detected on Epic Platform Patterns of PSA Changes After AR Signaling Directed Therapies de novo Resistance Acquired Resistance True Responder Example of AR Localization in CTCs Support: MSKCC SPORE in Prostate Cancer (P50 CA92629), the Department of Defense Prostate Cancer Research Program (PC051382), The Prostate Cancer Foundation. Mr. William H. Goodwin and Mrs. Alice Goodwin and the Commonwealth Foundation for Cancer Research, The Experimental Therapeutics Center of Memorial Sloan-Kettering Cancer Center. 5’ ERG Deletion seen in CK- CTC ERG Insertion seen in CK- CTC ERG Insertion seen in small CTC Conclusions Composite DAPI CK CD45 AR Small CTC (CK+CD45-, small nucleus) Patients with >5 CTCs/7.5mL CellSearch ® Epic “Traditional” CTC Any Epic CTC Subtype Progressive draw 15/27 (56%) 25/27 (93%) 27/27 (100%) Baseline draw 8/14 (57%) 13/14 (93%) 14/14 (100%) Total 23/41 (56%) 38/41 (93%) 41/41 (100%) Cohort Characteristics Time point of Blood Draw Outcome Cohort Average of Mean AR Expression of any CTC (Range) Average CK- CTC frequency /7.5mL (Range) Progressive Draws (Patients w/rising PSA) Initial True Responders n=4 4.13 (1.67-8.12) 63 (8-150) Initial Acquired Resistance n=14 3.13 (1.32-5.55) 14 (0-38) de Novo Resistance n=9 4.59 (1.46-12.25) 58 (8-248) Baseline Draws (prior to AA+P or E) True Responders n=4 1.76 (1.27-2.31) 17 (0-38) Acquired Resistance n=2 5.48 (2.83-8.12) 83 (15-150) de novo Resistance n=8 4.35 (1.63-12.25) 46 (0-248) Table 2. Frequency of CTCs between sample types & platforms Mean AR expression of all CTC subtypes and frequency of CK- CTCs were measured in patients. Baseline draws from true responders had lower mean AR expression and fewer CK- CTCs (Table 3). Heterogeneity of CTC subtypes and AR expression were observed (Figure 4 & 5). Table 3. Characteristics of AR expression and CK- CTCs by Progression and Baseline draw Phlebotomy sample AR Expression (Log2 Scale) 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 0.5 1 2 4 8 16 32 64 128 256 Phlebotomy sample 28 29 30 31 32 33 34 35 36 37 38 39 40 41 0.5 1 2 4 8 16 32 64 128 256 Figure 4. AR expression of observed CTC subtypes in progression sample on AA+P or E de novo resistors Acquired Resistance True Responders de novo resistors Acquired Resistance True Responders Figure 5. AR expression of observed CTC subtypes in baseline samples prior to AA+P or E 1 2 4 8 16 32 64 128 256 512 1024 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 CTCs PER 7.5 ml CTC Count / 7.5 mL CK-/ 7.5 mL CellSearch® de novo resistors Acquired Resistance True Responders EPIC CTCs/mL extrapolated to CTCs/7.5 mL vs CellSearch CTCs/7.5 mL Progression Samples 1 2 4 8 16 32 64 128 256 512 1024 28 29 30 31 32 33 34 35 36 37 38 39 40 41 CTCs PER 7.5 ml CTC Count / 7.5 mL CK-/ 7.5 mL CellSearch® de novo resistors Acquired Resistance True Responders EPIC CTCs/mL extrapolated to CTCs/7.5 mL vs CellSearch CTCs/7.5 mL Baseline Samples Progressive Draws Baseline Draws Patient ID 1 2 3 4 5 6 7 8 9 Patient ID 28 29 30 31 32 33 34 35 Nuclear 66% 36% 40% 31% 50% 0% 0% 0% 40% Nuclear N/A 0% 66% 30% 20% 4% 0% 40% Equally Nuclear and Cytoplasmic 18% 4% 0% 0% 0% 0% 0% 0% 0% Equally Nuclear and Cytoplasmic N/A 0% 18% 0% 0% 4% 0% 0% Cytoplasmic 6% 0% 10% 8% 0% 0% 0% 7% 0% Cytoplasmic N/A 0% 6% 0% 40% 12% 4% 0% AR Negative 10% 61% 50% 62% 50% 100% 100% 93% 60% AR Negative N/A 100% 10% 70% 40% 81% 96% 60% AR localization heterogeneity in de novo resistors Baseline Draw Progression Draw, taken at rising PSA

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Page 1: 1. Epic Sciences, La Jolla, CA; 2 ......sdfsdfsdf Study Population Molecular Characterization of Circulating Tumor Cells (CTCs) and CTC subpopulations in progressive metastatic Castration

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Study Population

Molecular Characterization of Circulating Tumor Cells (CTCs) and CTC subpopulations

in progressive metastatic Castration Resistant Prostate Cancer (mCRPC)

Ryan Dittamore 1, Jessica Louw 1, Rachel Krupa 1, Aseem Anand 2, Daniel Danila 2,3, Zaina Arslan 2, Nicole Schreiber2, Natalee

Bales 1, Dena Marrinucci 1, Howard I. Scher 2,3

1. Epic Sciences, La Jolla, CA; 2. Sidney Kimmel Center for Prostate and Urologic Cancers, Memorial Sloan-Kettering Cancer Center, New York, NY 3. Department of Medicine,

Weill Cornell Medical College, New York, NY

Background

Numerous resistance mechanisms have been postulated in

progressive mCRPC. Determining the presence of putative

predictive biomarkers in patients requires a real-time tumor

assessment because the biology changes under the

influence of the specific therapy(ies) that a patient (Pt) has

received. We examined CTC and CTC subpopulation

incidence and molecular characterization of tumors from Pts

with progressive mCRPC to assess if a predictive model

could be developed to identify true responders from de novo

resistance of androgen targeting therapeutics.

Using the Epic Sciences CTC platform,

CTC incidence was increased

compared to CellSearch® CTC with

93% of samples accessed exhibiting >5

Epic “Traditional” CTCs/7.5mL.

Additionally, novel CTC subpopulations

were identified which demonstrated

expression of PCa specific proteins and

genomics (Figure 6) with 100% of

patients exhibiting any CTC

subpopulation at >5 CTC/7.5mL (Table

2 & Figure 2).

CTC AR expression and CK- CTCs w/outcome

1. Epic CTC analysis provides higher detection rates than CellSearch® CTC in this cohort.

2. Novel CTC populations were detected in all (38) patients with 5 or more “traditional” CTC/7.5mL.

3. Notable was the marked heterogeneity of AR expression and subcellular localization in CTCs.

4. AR expression, heterogeneity and localization in CTCs along with frequency of CK- CTCs may play

a role in progression of AR tx.

5. Studies are ongoing to quantitative measures we are reporting and undergoing further prospective

validation.

41 samples from 30 unique mCRPC pts treated with androgen receptor targeted (AR tx) therapies; 27

samples were from progressive pts and 14 samples from baseline pts. 24/27 (46.7%) of progressive

patients were treated with Abiraterone plus Prednisone (AA+P) and 3/27 (53.3%) with Enzalutamide

(E). Baseline samples were collected for 5/14 pts receiving AA+P, and 9/14 on E. Progressive pts

were described as either de novo resistance, acquired resistance or true responders. Baseline pts

were followed and received similar designation. Samples were collected and shipped to Epic

Sciences where cells were stained and CTCs identified by fluorescent scanners and algorithmic

analysis (Figure 1). CTCs, defined as traditional (CK+CD45- with intact DAPI nuclei and

morphologically distinct), apopotic (CK+CD45-, non-intact nuclei), small (CK+,CD45-, intact small

nucleus) and CK- (CK-CD45-, intact and morphologically distinct) were identified (Figure 2). CTCs

reported per mL of blood were examined for AR expression by immunofluorescence (IF), and for

PTEN loss and ERG rearrangements by FISH. CTC data were analyzed in context of PSA,

CellSearch® CTC count (reported per 7.5mL of blood), and clinical history.

Methods

www.epicsciences.com

Figure 1: Schematic of Epic’s CTC collection

and detection process:

1) Nucleated cells from blood sample placed

onto slides

2) Slides stored in -80C biorepository

3) Slides stained with CK, CD45, DAPI and

AR

4) Slides scanned

5) Multi-parametric digital pathology

algorithms run

6) Software and human reader confirmation of

CTCs & quantitation of biomarker

expression

7) For FISH, coordinates are recorded and

coverslip removed

8) FISH assay is run

9) Regional WBCs are scored to assess

normal

10) CTCs relocated and scored

CTC Coordinates Recorded Coverslip Removed

CTC Enumeration

Run FISH Assay Score WBCs

Relocate &

Score CTCs

7

8 9 10

Characteristic No. (%) or Median (range) Characteristic No. (%) or Median (range)

Number of patients 30 Metastatic Disease

Age, years 67.5 (47 – 85) Bone 29 (97%)

Primary Treatment Lymph Node 22 (73%)

Prostatectomy 15 (50%) Liver 5 (17%)

Radiation 8 (27%) Lung 3 (10%)

None 7 (23%) Other Soft Tissue 3 (10%)

Therapies Laboratory Measures

Hormone Therapies PSA, ng/mL 74.5 (1.9 - 9222)

1 -2 line 5 (17%) Hgb, (g/dl) 11.9 (7.4 - 16)

3 lines 12 (40%) ALK, (unit/L) 138 (54 - 562)

> 4 lines 13 (43%) LDH, (unit/L) 243.5 (163 - 976)

Chemo-naïve 20 (67%) ALB, (g/dl) 4.3 (3.6 - 5)

Chemo-exposed 10 (33%) CTC, (cells/7.5mL) 6 (0 - >200)

Table 1. Patient demographic and clinical characteristics at time of inclusion in the study.

CTC Frequency

Composite DAPI CK CD45 AR

Composite DAPI CK CD45 AR

Composite DAPI CK CD45 ARTraditional

CTC

Cluster(CK+CD45-)

Traditional

CTC (CK+CD45-)

CK-CTC(CK-CD45-)

Figure 6. Representative images of traditional, CK negative, small, and apoptotic CTCs. Inclusive of ERG rearrangement

Apoptotic

CTC(CK+CD45-,

non-intact

nucleus)

Composite DAPI CK CD45 AR

Figure 2. Matched blood samples were processed utilizing CellSearch® and Epic Sciences CTC platform. CellSearch® enumeration limited to 200 CTCs. Epic

CTCs were measured from 1mL and extrapolated to 7.5 mL of blood.

CTC Subpopulations detected on Epic Platform

AR CTC Subcellular Localization

Patterns of PSA Changes After AR Signaling

Directed Therapies

de novo Resistance

Acquired Resistance

True Responder

Example of AR Localization in CTCs

Support: MSKCC SPORE in Prostate Cancer (P50 CA92629), the Department of Defense Prostate Cancer Research Program (PC051382),

The Prostate Cancer Foundation. Mr. William H. Goodwin and Mrs. Alice Goodwin and the Commonwealth Foundation for Cancer Research, The

Experimental Therapeutics Center of Memorial Sloan-Kettering Cancer Center.

5’ ERG

Deletion seen

in CK- CTC

ERG Insertion

seen in CK-

CTC

ERG Insertion

seen in small

CTC

Conclusions

Composite DAPI CK CD45 ARSmall CTC(CK+CD45-,

small

nucleus)

Patients with >5 CTCs/7.5mL

CellSearch®

Epic “Traditional”

CTC

Any Epic CTC

Subtype

Progressive

draw 15/27 (56%) 25/27 (93%) 27/27 (100%)

Baseline draw 8/14 (57%) 13/14 (93%) 14/14 (100%)

Total 23/41 (56%) 38/41 (93%) 41/41 (100%)

Cohort Characteristics

Time point of Blood Draw Outcome

Cohort Average of Mean AR

Expression of any CTC (Range)

Average CK- CTC frequency

/7.5mL (Range)

Progressive Draws (Patients

w/rising PSA)

Initial True Responders n=4 4.13 (1.67-8.12) 63 (8-150)

Initial Acquired Resistance n=14 3.13 (1.32-5.55) 14 (0-38)

de Novo Resistance n=9 4.59 (1.46-12.25) 58 (8-248)

Baseline Draws (prior to AA+P

or E)

True Responders n=4 1.76 (1.27-2.31) 17 (0-38)

Acquired Resistance n=2 5.48 (2.83-8.12) 83 (15-150)

de novo Resistance n=8 4.35 (1.63-12.25) 46 (0-248)

Table 2. Frequency of CTCs between sample types & platforms

Mean AR expression of all CTC subtypes and frequency of CK- CTCs were measured in patients.

Baseline draws from true responders had lower mean AR expression and fewer CK- CTCs (Table 3).

Heterogeneity of CTC subtypes and AR expression were observed (Figure 4 & 5).

Table 3. Characteristics of AR expression and CK- CTCs by Progression and Baseline draw

P h le b o to m y sa m p le

AR

Ex

pre

ss

ion

(L

og

2 S

ca

le)

1 2 3 4 5 6 7 8 9 1 0 1 1 1 2 1 3 1 4 1 5 1 6 1 7 1 8 1 9 2 0 2 1 2 2 2 3 2 4 2 5 2 6 2 7

0 .5

1

2

4

8

1 6

3 2

6 4

1 2 8

2 5 6

P h le b o to m y sa m p le

AR

Ex

pre

ss

ion

(L

og

2 S

ca

le)

2 8 2 9 3 0 3 1 3 2 3 3 3 4 3 5 3 6 3 7 3 8 3 9 4 0 4 1

0 .5

1

2

4

8

1 6

3 2

6 4

1 2 8

2 5 6Figure 4. AR expression of observed CTC

subtypes in progression sample on AA+P or E

de novo resistors Acquired Resistance True Responders

de novo resistors AcquiredResistance

True Responders

Figure 5. AR expression of observed CTC

subtypes in baseline samples prior to AA+P or E

1

2

4

8

16

32

64

128

256

512

1024

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27

CTC

s P

ER 7

.5 m

lCTC Count / 7.5 mL CK-/ 7.5 mL CellSearch®

de novo resistors Acquired Resistance True Responders

EPIC CTCs/mL extrapolated to CTCs/7.5 mL vs CellSearch CTCs/7.5 mLProgression Samples

1

2

4

8

16

32

64

128

256

512

1024

28 29 30 31 32 33 34 35 36 37 38 39 40 41

CTC

s P

ER 7

.5 m

l

CTC Count / 7.5 mL CK-/ 7.5 mL CellSearch®

de novo resistors Acquired Resistance True Responders

EPIC CTCs/mL extrapolated to CTCs/7.5 mL vs CellSearch CTCs/7.5 mLBaseline Samples

Progressive Draws Baseline DrawsPatient ID 1 2 3 4 5 6 7 8 9 Patient ID 28 29 30 31 32 33 34 35

Nuclear 66% 36% 40% 31% 50% 0% 0% 0% 40% Nuclear N/A 0% 66% 30% 20% 4% 0% 40%

Equally

Nuclear and

Cytoplasmic

18% 4% 0% 0% 0% 0% 0% 0% 0%

Equally

Nuclear and

Cytoplasmic

N/A 0% 18% 0% 0% 4% 0% 0%

Cytoplasmic 6% 0% 10% 8% 0% 0% 0% 7% 0% Cytoplasmic N/A 0% 6% 0% 40% 12% 4% 0%

AR Negative 10% 61% 50% 62% 50% 100% 100% 93% 60% AR Negative N/A 100% 10% 70% 40% 81% 96% 60%

AR localization heterogeneity in de novo resistors

Baseline

Draw Progression Draw,

taken at rising PSA