BLOOD BIOMARKERS · - Comprehensive tumor profile PCa heterogeneity - Non-invasive Biopsies not...

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BLOOD BIOMARKERS ELENA CASTRO Hospital V. de la Victoria Spanish National Cancer Research Centre ESMO Preceptorship on Prostate cancer. Lugano 17-18 October 2019

Transcript of BLOOD BIOMARKERS · - Comprehensive tumor profile PCa heterogeneity - Non-invasive Biopsies not...

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BLOOD BIOMARKERS

ELENA CASTRO

Hospital V. de la VictoriaSpanish National Cancer Research Centre

ESMO Preceptorship on Prostate cancer.Lugano 17-18 October 2019

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Disclosures

Participation in advisory boards: Astra-Zeneca, Astellas, Bayer, JanssenResearch funding: Astra Zeneca, Bayer, JanssenSpeaker fees: Astra Zeneca, Astellas, Bayer, Janssen, PfizerTravel, accomodation, expenses: Astellas, Astra-Zeneca, Bayer, Bristol-Myers,Janssen, Roche

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BIOMARKER

A characteristic (clinical or molecular) that can be measured (objectively and reproducibly) to indicate a biologic condition (including normal or pathogenic processess) and also a response to a therapeutic intervention.

Bastos & Antonarakis, Expert Rev Mol Diagn, 2018

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Docetaxel

Cabazitaxel

Abiraterone

Enzalutamide

Radium-223

Need for validated predictive biomarkers to guide therapeutic choices

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BRCA1/2 alterations predict

response to PARP inhibitors

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PROGNOSTIC Biomarkers

LABORATORYbiomarkers

CLINICALbiomarkers

IMAGINGbiomarkers

PATHOLOGIC /MOLECULARbiomarkers

- PSA (baseline and kinetics)

- LDH

- Hemoglobin

- Alkaline phosphatase

- Serum Albumin

- Neutrophil-lymphocyte

ratio (NLR)

- CTC count ≥ 5 vs ≤5- CTC count conversión

(<5) after 12 weeks

- Performance status

- Pain / use of opioids

- Sites of metastasis

- Extent of disease

- Histologic variants

- Gleason score

- Rb1, TP53, PTEN alterations

- AR-V7 detection

- AR copy number

- ctDNA fraction

- DDR genes alterations

Bastos & Antonarakis, Expert Rev Mol Diagn, 2018Terada et al, Ther Adv Med Oncol, 2017

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Saad et a, Lancet Oncol, 2016

Alkaline Phosphatase Haemoglobin

ECOG Pain

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PROSTATE SPECIFIC ANTIGEN (PSA)

• Definition of Castration Resistance

-Castrate serum levels of testosterone (testosterone <50ng/dl or <2nmol/l)

-Two consecutive rises of PSA, 1 week apart, resulting in a 50% increase over the nadir

-If MAB: Antiandrogen withdrawal for at least 4 weeks (flutamida) or 6 weeks (bicalutamide)

-Radiographic progression (RECIST 1.1 and PCWG3 criteria)

Monitoring PCa

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PSA should be assessed by cycle (3 or 4 weeks)

PSA outcomes should be interpreted within the context of a drug’s mechanism of actionand the anticipated timing of a potential favorable/unfavorable effect on PSA should be considered

Recognize that a favourable effect on PSA may be delayed for ≥12 weeks, even for a cytotoxicdrug.

Ignore early rises (before 12 weeks) in determining PSA response Monitor PSA by cycle but plan to continue through early rises for a minimum of 12 weeks unless

other evidence of progression

PSA to monitor CRPC treatments

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A. Time to PSA Progression B. Time to Radiographic Progression C. Time to Death

Outcome

Maximal Confirmed PSA Decline From Baseline at Month 3 in the Enzalutamide Arm (N = 795)a

No Decline/ Decline < 30%(n = 94/795)

≥ 30% Decline(n = 701/795)

≥ 50% Decline(n = 639/795)

≥ 90% Decline(n = 307/795)

Best objective soft-tissue response (CR + PR), % (95% CI)

12.0 (4.5-24.3) 70.6 (65.1-75.6)P < .001b

74.8 (69.2-79.9)P < .001b

89.7 (82.8-95.0)P < .001b

Median (95% CI) time to PSA progression, mo 3.7 (3.7-4.6) 13.8 (11.3-14.0) 13.9 (13.8-16.6) 22.5 (16.8-NYR)HR (95% CI) for time to PSA progression 1.0 (ref) 0.17 (0.13-0.22) 0.16 (0.12-0.20) 0.10 (0.08-0.14)

Median (95% CI) rPFS, mo 7.9 (3.7-NYR) NYR (13.8-NYR) NYR (13.8-NYR) NYR (13.8-NYR)HR (95% CI) for rPFS 1.0 (ref) 0.20 (0.13-0.31) 0.17 (0.11-0.27) 0.10 (0.05-0.19)

Median (95% CI) OS, mo 23.1 (17.8-28.0) 32.4 (31.5-NYR) NYR (31.5-NYR) NYR (NYR-NYR)HR (95% CI) for OS 1.0 (ref) 0.31 (0.22-0.42) 0.28 (0.20-0.39) 0.19 (0.12-0.28)

Armstrong, ESMO 2017

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ORR = 70.6%*

423.5 25.9

45.3

8

47.1 48.9

44.4

68

27.8 23.79.4

18

1.6 1.5 0.92

0%10%20%30%40%50%60%70%80%90%

100%

No PSA Decline(n = 60)

PSA ≥ 30 Decline(n = 407)

PSA ≥ 50 Decline(n = 367)

PSA ≥ 90 Decline(n = 164)

Patie

nts,

%

Complete Response Partial Response Stable Disease Progressive Disease Not Evaluable

ORR = 89.7%*ORR = 74.8%*

PREVAIL: PSA decline associated with radiographic response

*P < .001 vs no PSA decline/PSA decline < 30% based on Fisher’s exact test. ClinicalTrials.gov identifier: NCT01212991. Abbreviations: ITT, intent to treat; ORR, objective response rate; PSA, prostate-specific antigen.

Armstrong, ESMO 2017

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LATITUDE study: PSA response associated with better outcomesin mHSPC receiving ADT + AA + P or PBO

Matsubara N, et al. Ann Oncol 2018;29(Suppl 8):797PD.

Risk reduction AAP + ADT

Risk reduction PBO + ADT

50% PSA response ~56% (RR=0.44) ~41% (RR=0.59)

90% PSA response ~89% (RR=0.107) ~72% (RR=0.283)

Reduction in risk of death in PSA responders vs nonresponders

Time to PSA progression strongly correlated with rPFS (Kendall’s tau=0.9211) and OS (Kendall’s tau=0.666)

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• Rising PSA is typically the first sign of tumour regrowth, preceding clinical and radiographic progression

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Halabi et al , JCO, 2014

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Halabi et al , JCO, 2014

Patient 1 Patient 2

ECOG 0 2

PSA 17.3 207

Disease site Lymphs only Visceral

Opioids use No Yes

LDH Normal >1ULN

Hemoglobin 14 10.8

Alkaline Phosphatase 119 247

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- Comprehensive tumor profilePCa heterogeneity

- Non-invasiveBiopsies not always feasible

- Easily obtainedRepeatableMonitoring

CIRCULATING biomarkers

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de Bono, Clin Cancer Res, 2008

CIRCULATING TUMOR CELLS

CTCs enumeration in mCRPC has been correlated with survival (prognostic biomarker)

CTC count ≥ 5 at baseline have worse survival

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de Bono et al, Clin Cancer Res, 2008Olmos et al, Ann Oncol, 2009

CIRCULATING TUMOR CELLS

CTCs conversión associated with better outcomes

CTC conversión (from ≥ 5 to ≤ 5) after 12 weeks of therapy have better outcomes

CTC conversión (30% decrease) after 12 weeks of therapy have better outcomes

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TOPARP-B

Bi-allelic BRCA (n=46)

Composite response rate 29/46 (63%)

Objective response rate 12/29 (41%)

PSA50 23/46 (50%)

CTC Conversion 18/38 (47%)

GALAHAD

CTCs to measure response in clinical trials

Mateo et al, NEJM, 2015; Mateo et al, ASCO 2019, Smith et al, ESMO 2019

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Molecular characterization of CTCs

Attard et al, Cancer Res, 2009

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AR splicing variants

Lallous et al, Int J Mol Sci, 2013

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AR-V7 Adna test

Antonarakis et al. N Engl J Med 2014

Treatment1Baseline AR-V7+

Response

AR-V7 status PSA50 P- value rPFS P- value OS (95% CI) P value

Abiraterone(N=31) 19% (6/31)

+ 0% (0/6).004

2.3 mos<.001

10.6 mos (8.5–NR).002

– 68% (17/25) >6.3 mos >11.9 mos (11.9–NR)

Enzalutamide(N=31) 39% (12/31)

+ 0% (0/12).004

2.1 mos<.001

5.5 mos (3.9–NR).006

– 53% (10/19) 6.1 mos NR (NR–NR)

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Adna-test

Epic test

Armstrong et al, JCO, 2019

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Scher, JAMA Oncol, 2016

ARSi:PSA decline ≥50: 0% AR-V7+PSA decline <50%: 20%AR-V7+

No association between AR-V7 and response to taxanes

AR-V7 prevalence increases with disease progression

Response to taxanes independent of AR-V7

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Annala et al, Cancer Discov, 2018

CIRCULATING TUMOR DNA (ctDNA)

Normal DNA

Tumour DNA

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Annala et al, Cancer Discov, 2018

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Annala et al, Cancer Discov, 2018

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AR amplification and mutation do not preclude therapy response

Conteduca , Ann Oncol, 2017

Annala et al, Cancer Discov, 2018

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AR gain associates with por OS and PFS

Annala et al, Cancer Discov, 2018Conteduca et al, Ann Oncol, 2017

Romanel et al, Sci Trans Med, 2015

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Annala et al, Cancer Discov, 2018

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Concordance of genome copy number between liquid and solid

biopsiesConcordance of mutation calls between solid and liquid biopsies

Wyatt et al, JNCI, 2017

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Relationship between observed copy number and ctDNA fraction

Jayaram et al, Cancer Discov, 2018

A low ctDNA fraction limits the detection of less abundant subclonal aberrations and accurate estimation of copy-number changes, especially monoallelic mutations