1
Sample Collection § BM aspirates were collected at screening, at the end of cycles 1, 2 and then every other cycle § Blood samples were collected on Days 1 (pre-dose), 5, 8, 15, 22 of each cycle § Genomic DNA was extracted from peripheral blood and bone marrow mononuclear cells (PBMCs & BMMCs, respectively) and ctDNA was isolated from plasma Molecular Profiling § A targeted NGS assay covering 75 genes was used to identify driver mutations § A ddPCR assay targeting an identified driver mutation was used to enumerate mutant allele frequencies in Plasma (ctDNA), PBMCs, and BMMCs Patient Characteristics § 40 patients enrolled in the Phase 1b were analyzed by targeted NGS, median number of genes with variants identified was 3 [range 1 - 7] § Among them, 20 patients were chosen for subsequent ctDNA analysis § Clinical response was evaluated by patient’s pathologist using bone marrow aspirate § Responders were defined as patients achieving complete response (BM blasts <5%) with or without count recovery (CR+CRi) Plasma-derived Circulating Tumor DNA (ctDNA) As a Surrogate Biomarker for Treatment Response with the Polo-like Kinase 1 (PLK1) Inhibitor, Onvansertib, in Combination with LDAC or Decitabine in Acute Myeloid Leukemia (AML) Errin Samuëlsz 1 ; Latifa Hassaine 1 ; Marion Luebbermann 1 ; Brittany Ross 1 ; Peter Croucher, PhD 1 , Mark Erlander, Phd 1 ; Maya Ridinger, PhD 1 1 Trovagene, Inc., San Diego, CA; Contact: Errin Samuëlsz - (Trovagene, Inc.) [email protected] Polo-like Kinase 1 (PLK1): § Serine/threonine kinase, master regulator of cell-cycle progression § Inhibition of PLK1 causes mitotic arrest in prometaphase and subsequent cell death § Overexpressed in solid tumors and hematological malignancies, including AML Onvansertib (also known as PCM-075 and NMS-1286937) : § Orally-bioavailable, highly-selective PLK1 inhibitor with a ~24-hour half-life § Potent anti-tumor activity in AML preclinical models 1,2 § Ongoing clinical trials for relapsed or refractory AML, metastatic castration-resistant prostate cancer and metastatic colorectal cancer Genomics of Acute Myeloid Leukemia (AML) § In AML, blast cells carrying a driver mutation in the bone marrow (BM) migrate into circulation in the peripheral blood (PB) § Hematologic mutations are detectable in a majority of AML patients, and are reported to persist in over 50% of patients during complete remission (CR) 3 Circulating Tumor DNA (ctDNA) § Recently ctDNA has been used as a biomarker for monitoring tumor heterogeneity, treatment response, minimal residual disease and disease progression 4 Background REFERENCES: 1 Casolaro al., PLoS One, 2013;8(3):e58424 2 Valsasina et al., Mol Cancer Ther. 2012 Apr;11(4):1006-16 3 Jongen-Lavrencic et al., N Engl J Med, 2018;378:1189-99 4 Yeh et al., Blood, 2017;129(12):1685-90 Phase 1b/2 Trial (NCT03303339 ) of Onvansertib in Combination with either Low-Dose Cytarabine or Decitabine in Patients with Relapsed/Refractory Acute Myeloid Leukemia Study design § Dosing schedule: Onvansertib x 5 days + either Low-dose Cytarabine (LDAC – 20 mg/m 2 SC qd x 10d) or Decitabine (20 mg/m 2 IV qd x 5d) in a 21 to 28 – day cycle § Dose escalation in Phase 1b (3+3 design) with expansion cohort at the maximum tolerated dose (MTD) or recommended phase 2 dose (RP2D) for Phase 2 Study Primary Objectives § Phase 1b: Assess safety, define dose-limiting toxicities (DLTs) and MTD/RP2D § Phase 2: Assess safety, tolerability and preliminary anti-leukemic activity at the MTD (or RP2D) Key Eligibility Criteria § Patients with relapsed/refractory AML who have received ≤3 prior treatment regimens § Treatment-related AML or APL are excluded § ECOG performance status ≤2 Phase 1b/2 Trial Design § Mutant allele frequency in plasma-derived ctDNA was highly correlated with MAF in gDNA from BM cells (R 2 = 0.8366) § Patients with clinical response (CR/CRi) showed bigger changes in ctDNA MAF than non-responders, suggesting that ctDNA changes can be used as a surrogate for treatment response § Change in ctDNA MAF after the 1 st cycle of treatment was highly predictive of response to onvansertib: All patients achieving CR/CRi (n=6) had a decrease in ctDNA MAF after 1 cycle (Log 2 (C1/C0) < -0.05) 86% of the non-responders (12 out of 14) showed no decrease in ctDNA MAF after 1 cycle Conclusions Plasma-derived ctDNA MAF Highly Correlates with MAF from Bone Marrow Mononuclear Cells § Mutation allelic frequencies (MAF) in ctDNA from plasma, and gDNA from BMMCs and PMBCS were assessed for 20 patients across timepoints (Plasma, BM, PB). § Linear regression, and a paired two sample t-test were performed for all timepoints with matched samples. § When plotted, MAF from plasma and BM showed the highest linearity (R 2 = 0.8366) and no significant difference from BM (P=0.2205) when comparing 49 matched samples. § These data suggest plasma is most representative of disease state in BM, and may be use to monitor response to treatment SCREENING DOSING (DAYS/CYCLE) Onvansertib Low-Dose Cytarabine FOLLOW-UP (DAYS/CYCLE) Decitabine 1 2 3 4 5 6 7 8 9 10 11-21/28 DOSING (DAYS/CYCLE) Onvansertib FOLLOW-UP (DAYS/CYCLE) 1 2 3 4 5 6 7 8 9 10 11-21/28 Bone Marrow Assessment Cytogenetic Risk N (%) Favorable 2 10% Intermediate 6 30% Adverse 9 45% Unknown 3 15% R² = 0.8366 0.00 20.00 40.00 60.00 80.00 100.00 0.0 20.0 40.0 60.0 80.0 100.0 Plasma (ctDNA) MAF BMMC MAF Plasma vs Bone Marrow R² = 0.7117 0.0 20.0 40.0 60.0 80.0 100.0 0.0 20.0 40.0 60.0 80.0 100.0 PBMC MAF BMMC MAF Peripheral Blood vs Bone Marrow R² = 0.6915 0.00 20.00 40.00 60.00 80.00 100.00 0.0 20.0 40.0 60.0 80.0 100.0 Plasma (ctDNA) MAF PBMC MAF Plasma vs Peripheral Blood N = 49 P = 0.2205 N = 42 P = 0.0032 N = 166 P = 2.962e-14 Clinical Response Responder NR Plasma Prediction Responder 6 2 PPV 75% NR 0 12 NPV 100% 100% 86% Sensitivity Specificity 90% Diagnostic accuracy 7.0 Positive likelihood ratio 0.0 Negative likelihood ratio Patient ctDNA MAF Log 2 (C1/C0) BM % Blasts Log 2 (C1/C0) Clinical Response 01-021 0.2193 -0.8625 NR 01-024 0.0489 -0.3219 NR 03-037 -0.0853 0.8301 Responder 05-016 0.5850 3.0704 NR 05-030 -0.4258 -2.0000 Responder 05-043 -0.0299 -0.4150 NR 07-009 -0.3303 -0.0468 Responder 07-013 0.3182 N/A NR 07-018 0.0015 N/A NR 07-033 -0.0200 N/A NR 07-035 -0.1410 -1.7370 Responder 07-036 0.2940 -1.0000 NR 08-027 -0.0096 -0.1043 NR 08-058 -1.4399 0.9329 Responder 09-026 0.3531 0.3785 NR 09-032 0.2534 0.1454 NR 09-064 -1.6881 -3.9069 Responder 11-019 0.0000 0.0000 NR 11-040 -0.3411 0.4021 NR 12-041 -0.1515 0.6951 NR N = 20 N = 17 NR = Non-responder Screening test using ctDNA MAF after 1 cycle 53% Diagnostic accuracy 1.10 Positive likelihood ratio 0.9 Negative likelihood ratio Screening test using % BM blasts after 1 cycle Plasma-derived ctDNA Enables Monitoring of Treatment Response and Disease Progression § Twenty (20) patients were chosen for ctDNA monitoring. § For each, plots were generated overlaying ctDNA MAF and %BM blasts by date of sample collection. § Of 6 patients who reached CR/CRi ( ), all showed the lowest ctDNA MAF at or before (13-35 days) determination of clinical response. § Similarly, 4 patients with Progressive disease (PD, ), displayed a maximum ctDNA MAF at or before determination of progression. § Patient 05-030 case: § Minimum ctDNA MAF was reached 34 days prior to CR diagnosis § A spike in ctDNA MAF was detected 53 days before progression, with a maximum MAF at the time of progression. § Patients with stable disease also show ctDNA trends resembling the bone marrow § Patients who responded to treatment showed a ctDNA MAF trend that decreased, while those who progressed showed an increasing trend. § ctDNA MAF is capable of monitoring both clinical response and disease progression, and often prior to the bone marrow biopsy Clinical Response Responder NR BM Prediction Responder 3 5 PPV 38% NR 3 6 NPV 67% 50% 55% Sensitivity Specificity 0.00 10.00 20.00 30.00 40.00 50.00 60.00 70.00 80.00 90.00 100.00 04/04/18 05/04/18 06/04/18 07/04/18 08/04/18 09/04/18 10/04/18 11/04/18 12/04/18 01/04/19 02/04/19 03/04/19 04/04/19 % Blasts (IHC) or %MAF (Plasma) Date of Collection Patient 07-009 0 5 10 15 20 25 30 35 40 45 50 55 60 10/04/18 11/04/18 12/04/18 01/04/19 02/04/19 03/04/19 04/04/19 % Blasts (IHC) or %MAF (Plasma) Date of Collection Patient 05-030 Patient ctDNA MAF Min (Days before CR/CRi) 07-009 35 05-030* 34 03-037 21 09-064 13 07-035 0 08-058 0 Complete Response (CR) Progressive Disease (PD) Stable Disease (SD) 0 10 20 30 40 50 60 70 7/1/2018 8/1/2018 9/1/2018 10/1/2018 11/1/2018 12/1/2018 1/1/2019 % Blasts (IHC) or %MAF (Plasma) Date of Collection Patient 11-019 0 10 20 30 40 50 60 70 80 90 100 6/4/2018 6/19/2018 7/4/2018 7/19/2018 % Blasts (IHC) or %MAF (Plasma) Date of Collection Patient 05-016 0 10 20 30 40 50 60 8/23/2018 8/30/2018 9/6/2018 9/13/2018 9/20/2018 9/27/2018 10/4/2018 10/11/2018 % Blasts (IHC) or %MAF (Plasma) Date of Collection Patient 01-024 0 10 20 30 40 50 60 70 80 90 100 8/26/2018 9/10/2018 9/25/2018 10/10/2018 10/25/2018 % Blasts (IHC) or %MAF (Plasma) Date of Collection Patient 09-026 Patient ctDNA MAF Max (Days before PD) 11-019 24 05-043 14 05-030* 0 05-016 0 Responders Have a Greater Range of ctDNA MAF than Non-responders § As plasma was most correlative with BM, we aimed to explore if changes in plasma MAF differed between patients with clinical response (CR/CRi) and non-responders. § The change in MAF over all timepoints available for each patients was log transformed: Log 2 (Max/Min), where Max is highest MAF of all timepoints, and Min is the lowest MAF of all timepoints. § A t-test was performed between responders (n=6) and non-responders (n=14) to determine if ctDNA range distinguished the groups § There was a significant difference between the two groups (P=0.002), further supporting ctDNA as a biomarker for treatment response. Responders = 6 Non-Responders = 14 P = 0.002 Methods and Patients Characteristics N (%) Responders 6 30% Non-Responders 14 70% ctDNA as a Predictive Biomarker Plasma-derived ctDNA is a Predictive Biomarker for Treatment Response to Onvansertib § We aimed at determining the utility of plasma MAF to predict clinical response after the 1 st cycle of treatment § MAF were assessed in ctDNA before beginning treatment (C0) and after 1 cycle of treatment (C1) when BM aspirates were collected; and change in MAF calculated as Log 2 (C1/C0). § Similarly changes in % BM blasts at end of cycle 1 versus screening were calculated as Log 2 (C1/C0). § All patients with clinical response (CR+CRi, n=6) showed a decrease in ctDNA MAF at cycle 1 (Log 2 (C1/C0) < -0.05), while only 2 of the 14 non-responders (NR) showed a similar decrease. § Measuring the changes in plasma over the first cycle predicted patient response with 90% diagnostic accuracy, 100% sensitivity and 86% specificity, with positive predictive value (75%) and negative predictive value (100%) supporting the utility of this analysis § Conversely, the same analysis in BM Blasts at Cycle 1 were not predictive of clinical response Earlier Treatment Decisions from Serial Monitoring of ctDNA % BM blasts cells ddPCR ctDNA % MAF Treatment Cycle 0 10 20 30 40 50 60 70 80 90 100 2/27/2019 3/14/2019 3/29/2019 4/13/2019 4/28/2019 5/13/2019 5/28/2019 6/12/2019 % Blasts (IHC) or %MAF (Plasma) Date of Collection Patient 05-043 0 2.5 5 7.5 10 12.5 15 17.5 20 8/26/2019 9/26/2019 10/26/2019 11/26/2019 % Blasts (IHC) or %MAF (Plasma) Date of Collection Patient 09-064 0 10 20 30 40 50 60 70 80 90 100 12/13/2018 12/28/2018 1/12/2019 1/27/2019 2/11/2019 2/26/2019 3/13/2019 % Blasts (IHC) or %MAF (Plasma) Date of Collection Patient 07-036 !"#$%&%'%&( = *+ (*+-./) !1"2%3%2%&( = */ (*/-.+) 45$%&%'" 46"7%2&%'" 89:;"(448) = *+ (*+-.+) <"=9&%'" 46"7%2&%'" 89:;"(<48) = */ (*+-*/) >%9=#5$&%2 ?22;692( (>?) = *+-*/ *+-*/-.+-./ 45$%&%'" @%A":%ℎ557 C9&%5 (4@C) = DEFGHIHJHIK (LMDNEOHPHOHIK) <"=9&%'" @%A":%ℎ557 C9&%5# (<@C) = (LMDEFGHIHJHIK) DNEOHPHOHIK § Serial monitoring in plasma provides a less-invasive alternative to bone marrow, often enabling earlier detection of clinical response or progression: Minimum ctDNA MAF was measured at or before remission, while maximum ctDNA MAF was measured at or before progression § Patients enrolled in the Phase 2 section will be analyzed to further validate the utility of ctDNA as a biomarker for onvansertib-response and a surrogate for BM biopsy

Plasma-derived Circulating Tumor DNA (ctDNA) As a ...€¦ · SampleCollection § BMaspirateswerecollectedatscreening,attheendofcycles1,2andtheneveryothercycle § BloodsampleswerecollectedonDays1(pre-dose),5,8,15,22ofeachcycle

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Page 1: Plasma-derived Circulating Tumor DNA (ctDNA) As a ...€¦ · SampleCollection § BMaspirateswerecollectedatscreening,attheendofcycles1,2andtheneveryothercycle § BloodsampleswerecollectedonDays1(pre-dose),5,8,15,22ofeachcycle

Sample Collection

§ BM aspirates were collected at screening, at the end of cycles 1, 2 and then every other cycle§ Blood samples were collected on Days 1 (pre-dose), 5, 8, 15, 22 of each cycle§ Genomic DNA was extracted from peripheral blood and bone marrow mononuclear cells

(PBMCs & BMMCs, respectively) and ctDNA was isolated from plasmaMolecular Profiling

§ A targeted NGS assay covering 75 genes was used to identify driver mutations§ A ddPCR assay targeting an identified driver mutation was used to enumerate mutant allele

frequencies in Plasma (ctDNA), PBMCs, and BMMCsPatient Characteristics

§ 40 patients enrolled in the Phase 1b were analyzed by targeted NGS, median number of geneswith variants identified was 3 [range 1 - 7]

§ Among them, 20 patients were chosen for subsequent ctDNA analysis§ Clinical response was evaluated by patient’s pathologist using bone marrow aspirate§ Responders were defined as patients achieving complete response (BM blasts <5%) with or

without count recovery (CR+CRi)

Plasma-derived Circulating Tumor DNA (ctDNA) As a Surrogate Biomarker for Treatment Response with the Polo-like Kinase 1 (PLK1) Inhibitor,

Onvansertib, in Combination with LDAC or Decitabine in Acute Myeloid Leukemia (AML)

Errin Samuëlsz1; Latifa Hassaine1; Marion Luebbermann1; Brittany Ross1; Peter Croucher, PhD1, Mark Erlander, Phd1; Maya Ridinger, PhD1

1Trovagene, Inc., San Diego, CA;

Contact: Errin Samuëlsz - (Trovagene, Inc.)[email protected]

Polo-like Kinase 1 (PLK1):

§ Serine/threonine kinase, master regulator of cell-cycle progression § Inhibition of PLK1 causes mitotic arrest in prometaphase and subsequent cell death§ Overexpressed in solid tumors and hematological malignancies, including AML

Onvansertib (also known as PCM-075 and NMS-1286937) :§ Orally-bioavailable, highly-selective PLK1 inhibitor with a ~24-hour half-life§ Potent anti-tumor activity in AML preclinical models1,2

§ Ongoing clinical trials for relapsed or refractory AML, metastatic castration-resistant prostate cancer and metastatic colorectal cancer

Genomics of Acute Myeloid Leukemia (AML)

§ In AML, blast cells carrying a driver mutation in the bone marrow (BM) migrate into circulation in the peripheral blood (PB)

§ Hematologic mutations are detectable in a majority of AML patients, and are reported to persist in over 50% of patients during complete remission (CR)3

Circulating Tumor DNA (ctDNA)

§ Recently ctDNA has been used as a biomarker for monitoring tumor heterogeneity, treatment response, minimal residual disease and disease progression4

Background

REFERENCES:1 Casolaro al., PLoS One, 2013;8(3):e584242 Valsasina et al., Mol Cancer Ther. 2012 Apr;11(4):1006-163 Jongen-Lavrencic et al., N Engl J Med, 2018;378:1189-994 Yeh et al., Blood, 2017;129(12):1685-90

Phase 1b/2 Trial (NCT03303339 ) of Onvansertib in Combination with either Low-Dose Cytarabine or

Decitabine in Patients with Relapsed/Refractory Acute Myeloid Leukemia

Study design

§ Dosing schedule:Onvansertib x 5 days + either Low-dose Cytarabine (LDAC – 20 mg/m2 SC qd x 10d) or Decitabine (20 mg/m2 IV qd x 5d) in a 21 to 28 – day cycle

§ Dose escalation in Phase 1b (3+3 design) with expansion cohort at the maximum tolerated dose (MTD) or recommended phase 2 dose (RP2D) for Phase 2

Study Primary Objectives

§ Phase 1b: Assess safety, define dose-limiting toxicities (DLTs) and MTD/RP2D§ Phase 2: Assess safety, tolerability and preliminary anti-leukemic activity at the MTD (or RP2D)

Key Eligibility Criteria

§ Patients with relapsed/refractory AML who have received ≤3 prior treatment regimens § Treatment-related AML or APL are excluded§ ECOG performance status ≤2

Phase 1b/2 Trial Design

§ Mutant allele frequency in plasma-derived ctDNA was highly correlated with MAF in gDNA from BM cells (R2 = 0.8366)

§ Patients with clinical response (CR/CRi) showed bigger changes in ctDNA MAF than non-responders, suggesting that ctDNA changes can be used as a surrogate fortreatment response

§ Change in ctDNA MAF after the 1st cycle of treatment was highly predictive of response to onvansertib:• All patients achieving CR/CRi (n=6) had a decrease in ctDNA MAF after 1 cycle (Log2(C1/C0) < -0.05)• 86% of the non-responders (12 out of 14) showed no decrease in ctDNA MAF after 1 cycle

Conclusions

Plasma-derived ctDNA MAF Highly Correlates with MAF from Bone Marrow Mononuclear Cells

§ Mutation allelic frequencies (MAF) in ctDNA from plasma, and gDNA from BMMCs and PMBCS were assessed for 20 patients acrosstimepoints (Plasma, BM, PB).

§ Linear regression, and a paired two sample t-test were performed for all timepoints with matched samples.§ When plotted, MAF from plasma and BM showed the highest linearity (R2 = 0.8366) and no significant difference from BM (P=0.2205)

when comparing 49 matched samples.§ These data suggest plasma is most representative of disease state in BM, and may be use to monitor response to treatment

SCREENING

DOSING (DAYS/CYCLE)

Onvansertib

Low-Dose Cytarabine

FOLLOW-UP (DAYS/CYCLE)

Decitabine

1 2 3 4 5 6 7 8 9 10 11-21/28

DOSING (DAYS/CYCLE)

Onvansertib

FOLLOW-UP (DAYS/CYCLE)

1 2 3 4 5 6 7 8 9 10 11-21/28

Bone Marrow

Assessment

Cytogenetic Risk N (%)

Favorable 2 10%Intermediate 6 30%Adverse 9 45%Unknown 3 15%

R² = 0.83660.00

20.00

40.00

60.00

80.00

100.00

0.0 20.0 40.0 60.0 80.0 100.0

Pla

sm

a (

ctD

NA

) M

AF

BMMC MAF

Plasma vs Bone Marrow

R² = 0.71170.0

20.0

40.0

60.0

80.0

100.0

0.0 20.0 40.0 60.0 80.0 100.0

PB

MC

MA

F

BMMC MAF

Peripheral Blood vs Bone Marrow

R² = 0.69150.00

20.00

40.00

60.00

80.00

100.00

0.0 20.0 40.0 60.0 80.0 100.0

Pla

sm

a (

ctD

NA

) M

AF

PBMC MAF

Plasma vs Peripheral Blood

N = 49P = 0.2205

N = 42P = 0.0032

N = 166P = 2.962e-14

Clinical Response

Responder NRPlasma

Prediction

Responder 6 2 PPV 75%NR 0 12 NPV 100%

100% 86%Sensitivity Specificity

90% Diagnostic accuracy7.0 Positive likelihood ratio0.0 Negative likelihood ratio

PatientctDNA MAF

Log2(C1/C0)

BM % Blasts

Log2(C1/C0)Clinical Response

01-021 0.2193 -0.8625 NR01-024 0.0489 -0.3219 NR03-037 -0.0853 0.8301 Responder

05-016 0.5850 3.0704 NR05-030 -0.4258 -2.0000 Responder

05-043 -0.0299 -0.4150 NR07-009 -0.3303 -0.0468 Responder

07-013 0.3182 N/A NR07-018 0.0015 N/A NR07-033 -0.0200 N/A NR07-035 -0.1410 -1.7370 Responder

07-036 0.2940 -1.0000 NR08-027 -0.0096 -0.1043 NR08-058 -1.4399 0.9329 Responder

09-026 0.3531 0.3785 NR09-032 0.2534 0.1454 NR09-064 -1.6881 -3.9069 Responder

11-019 0.0000 0.0000 NR11-040 -0.3411 0.4021 NR12-041 -0.1515 0.6951 NR

N = 20 N = 17 NR = Non-responder

Screening test using ctDNA MAF after 1 cycle

53% Diagnostic accuracy1.10 Positive likelihood ratio0.9 Negative likelihood ratio

Screening test using % BM blasts after 1 cycle

Plasma-derived ctDNA Enables Monitoring of Treatment Response and Disease Progression

§ Twenty (20) patients were chosen for ctDNA monitoring.§ For each, plots were generated overlaying ctDNA MAF and %BM blasts by date of sample collection.§ Of 6 patients who reached CR/CRi ( ), all showed the lowest ctDNA MAF at or before (13-35 days)

determination of clinical response.§ Similarly, 4 patients with Progressive disease (PD, ), displayed a maximum ctDNA MAF at or before

determination of progression.§ Patient 05-030 case:

§ Minimum ctDNA MAF was reached 34 days prior to CR diagnosis§ A spike in ctDNA MAF was detected 53 days before progression, with a maximum MAF at the time of

progression.§ Patients with stable disease also show ctDNA trends resembling the bone marrow§ Patients who responded to treatment showed a ctDNA MAF trend that decreased, while those who

progressed showed an increasing trend.§ ctDNA MAF is capable of monitoring both clinical response and disease progression, and often prior to the

bone marrow biopsy

Clinical Response

Responder NRBM

Prediction

Responder 3 5 PPV 38%NR 3 6 NPV 67%

50% 55%Sensitivity Specificity

0.00

10.00

20.00

30.00

40.00

50.00

60.00

70.00

80.00

90.00

100.00

04/0

4/18

05/0

4/18

06/0

4/18

07/0

4/18

08/0

4/18

09/0

4/18

10/0

4/18

11/0

4/18

12/0

4/18

01/0

4/19

02/0

4/19

03/0

4/19

04/0

4/19

% B

last

s (IH

C) o

r %M

AF (P

lasm

a)

Date of Collection

Patient 07-009

0

5

10

15

20

25

30

35

40

45

50

55

60

10/0

4/18

11/0

4/18

12/0

4/18

01/0

4/19

02/0

4/19

03/0

4/19

04/0

4/19

% B

last

s (IH

C) o

r %M

AF (P

lasm

a)

Date of Collection

Patient 05-030

PatientctDNA MAF Min

(Days before CR/CRi)

07-009 3505-030* 3403-037 2109-064 1307-035 008-058 0

Complete Response (CR) Progressive Disease (PD) Stable Disease (SD)

0

10

20

30

40

50

60

70

7/1/

2018

8/1/

2018

9/1/

2018

10/1

/201

8

11/1

/201

8

12/1

/201

8

1/1/

2019

% B

last

s (IH

C) o

r %M

AF (P

lasm

a)

Date of Collection

Patient 11-019

0

10

20

30

40

50

60

70

80

90

100

6/4/

2018

6/19

/201

8

7/4/

2018

7/19

/201

8

% B

last

s (IH

C) o

r %M

AF (P

lasm

a)

Date of Collection

Patient 05-016

0

10

20

30

40

50

60

8/23

/201

8

8/30

/201

8

9/6/

2018

9/13

/201

8

9/20

/201

8

9/27

/201

8

10/4

/201

8

10/1

1/20

18

% B

last

s (IH

C) o

r %M

AF (P

lasm

a)

Date of Collection

Patient 01-024

0

10

20

30

40

50

60

70

80

90

100

8/26

/201

8

9/10

/201

8

9/25

/201

8

10/1

0/20

18

10/2

5/20

18

% B

last

s (IH

C) o

r %M

AF (P

lasm

a)

Date of Collection

Patient 09-026

PatientctDNA MAF Max

(Days before PD)

11-019 2405-043 14

05-030* 005-016 0

Responders Have a Greater Range of ctDNA MAF than Non-responders

§ As plasma was most correlative with BM, we aimed to explore if changes in plasma MAFdiffered between patients with clinical response (CR/CRi) and non-responders.

§ The change in MAF over all timepoints available for each patients was log transformed:Log2(Max/Min), where Max is highest MAF of all timepoints, and Min is the lowest MAF ofall timepoints.

§ A t-test was performed between responders (n=6) and non-responders (n=14) to determineif ctDNA range distinguished the groups

§ There was a significant difference between the two groups (P=0.002), further supportingctDNA as a biomarker for treatment response. Responders = 6

Non-Responders = 14P = 0.002

Methods and Patients Characteristics

N (%)

Responders 6 30%

Non-Responders 14 70%

ctDNA as a Predictive Biomarker

Plasma-derived ctDNA is a Predictive Biomarker for Treatment Response to Onvansertib

§ We aimed at determining the utility of plasma MAF to predict clinical response after the 1st cycle of treatment§ MAF were assessed in ctDNA before beginning treatment (C0) and after 1 cycle of treatment (C1) when BM aspirates were collected;

and change in MAF calculated as Log2(C1/C0).§ Similarly changes in % BM blasts at end of cycle 1 versus screening were calculated as Log2(C1/C0).§ All patients with clinical response (CR+CRi, n=6) showed a decrease in ctDNA MAF at cycle 1 (Log2(C1/C0) < -0.05), while only 2 of the

14 non-responders (NR) showed a similar decrease.§ Measuring the changes in plasma over the first cycle predicted patient response with 90% diagnostic accuracy, 100% sensitivity and 86%

specificity, with positive predictive value (75%) and negative predictive value (100%) supporting the utility of this analysis§ Conversely, the same analysis in BM Blasts at Cycle 1 were not predictive of clinical response

Earlier Treatment Decisions from Serial Monitoring of ctDNA

% BM blasts cellsddPCR ctDNA % MAFTreatment Cycle

0

10

20

30

40

50

60

70

80

90

100

2/27

/201

9

3/14

/201

9

3/29

/201

9

4/13

/201

9

4/28

/201

9

5/13

/201

9

5/28

/201

9

6/12

/201

9

% B

last

s (IH

C) o

r %M

AF (P

lasm

a)

Date of Collection

Patient 05-043

0

2.5

5

7.5

10

12.5

15

17.5

20

8/26

/201

9

9/26

/201

9

10/2

6/20

19

11/2

6/20

19

% B

last

s (IH

C) o

r %M

AF (P

lasm

a)

Date of Collection

Patient 09-064

0

10

20

30

40

50

60

70

80

90

100

12/1

3/20

18

12/2

8/20

18

1/12

/201

9

1/27

/201

9

2/11

/201

9

2/26

/201

9

3/13

/201

9

% B

last

s (IH

C) o

r %M

AF (P

lasm

a)

Date of Collection

Patient 07-036

• !"#$%&%'%&( = *+(*+-./)

• !1"2%3%2%&( = */(*/-.+)

• 45$%&%'" 46"7%2&%'" 89:;"(448) =*+

(*+-.+)

• <"=9&%'" 46"7%2&%'" 89:;"(<48) = */(*+-*/)

• >%9=#5$&%2 ?22;692( (>?) = *+-*/*+-*/-.+-./

• 45$%&%'" @%A":%ℎ557 C9&%5 (4@C) = DEFGHIHJHIK(LMDNEOHPHOHIK)

• <"=9&%'" @%A":%ℎ557 C9&%5# (<@C) = (LMDEFGHIHJHIK)DNEOHPHOHIK

§ Serial monitoring in plasma provides a less-invasive alternative to bone marrow, often enabling earlier detection of clinical response orprogression:

• Minimum ctDNA MAF was measured at or before remission, while maximum ctDNA MAF was measured at or before progression

§ Patients enrolled in the Phase 2 section will be analyzed to further validate the utility of ctDNA as a biomarker for onvansertib-response and asurrogate for BM biopsy