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Role of Predictive Biomarkers as a Measure of Individualized Medicine Maha Hussain, M.D., FACP Professor of Medicine & Urology Associate Director for Clinical Research University of Michigan Comprehensive Cancer Center
Identification of  “ active” drugs Appropriate  Phase III studies Identification  of active and safe combinations Adjuvant Neoadjuvant  Overarching Objective  “ Impact and Change the Standards of Care” This = Decades & $$$$$$
Nine  FDA Approvals for Metastatic  Castration Resistant Prostate Cancer  in 15 Years  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Minimize the Number of Negative  Trials ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Plethora of Targets and Agents in Prostate Cancer  What to Pick and How Best to Test?  Pathway Target Agents Angiogenesis PDGF receptor Olaratumab Unknown Tasquinimod VEGF Aflibercept VEGF receptor Ramucirumab Androgen Androgen receptor ARN-509, MDV3100 CYP17 Abiraterone, Orteronel Apoptosis BCL-2 AT-101 Clusterin Custirsen Cell division Microtubules Eribulin, nab-Docetaxel DNA repair PARP Veliparib Endothelin Endothelin receptor Atrasentan, Zibotentan Histone acetylation HDAC Vorinostat Immune modulation CTLA-4 Ipilimumab Multiple Lenalidomide Insulin-like growth factor IGF-1R Cixutumumab Other mTOR Everolimus, Temsirolimus Multiple, including Src Dasatinib Multiple,  MET/VEGFR2 XL184
Key Validated Targets Based on “Clinical Benefit” ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
TAX327   Overall Survival, 2004 Median survival  Hazard    (mos)  ratio  P-value  Combined: 18.2 0.83 0.03 D  3 wkly:   18.9 0.76 0.009 D  wkly:  17.3 0.91 0.3 Mitoxantrone 16.4   – – Months Probability of Surviving 0 6 12 18 24 30 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 Docetaxel 3 wkly Docetaxel  wkly Mitoxantrone Tannock et al, N Engl J Med, 2004
Kantoff et al,  NEJM 363:411-22, 2010 Median Survival 25.8 m vs 21.7 m Sipuleucel-T vs Control Overall Survival , 2010
Cabazitaxel vs Mitoxantrone  Overall Survival,  2010 De Bono et al, Lancet  2010 Median Survival: 15.1 vs 12.7 m )
COU-AA-301: Abiraterone Acetate  Overall Survival, 2011  HR = 0.646 (0.54-0.77)  P  < 0.0001 Placebo:  10.9 months (95%CI: 10.2, 12.0 ) 0 100 200 300 400 500 600 700 0 20 40 60 80 100 Survival (%) Days from Randomization Abiraterone acetate:  14.8 months (95%CI: 14.1, 15.4) 2 Prior Chemo OS:  1 Prior Chemo OS 14.0 mos AA vs 10.3 mos placebo   15.4 mos AA vs 11.5 mos placebo AA 797 728 631 475 204 25 0 Placebo 398 352 296 180 69 8 1
Prognosis and Prediction ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Modified from Clin cancer  research  16 (6) 1745-55, 2010 & C. Tangen.
When is a Marker Clinically Useful? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Modified from D. Hayes
Tumor Marker Utility Grading System (TMUGS):  Levels of Evidence ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Hayes, et al; J Nat Cancer Institute 88:1456, 1996;  Simon R.M., et al.  J Natl Cancer Inst. 2009
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Tumor Marker Utility Grading System (TMUGS):  Levels of Evidence D. Hayes Hayes, et al; J Nat Cancer Institute 88:1456, 1996;  Simon R.M., et al.  J Natl Cancer Inst. 2009 Most Tumor Marker Studies (Studies of Convenience)
Challenges for Drug Development in the “Era of Targeted Therapies & Personalized Medicine” ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
How successful are we in selecting and targeting solid tumors? Target ER Her-2 EGFR C-Kit TS Disease Breast Breast Colon GIST Colon Drug Tamoxifen Herceptin Cetuximab Gleevec 5-FU Response (%) 50-60 15-26 (35) 10 60-70 15-20
Lung Cancer:EGFR Genotype Cannot Be Reliably Determined by Phenotype Jackman DM, et al.  J Clin Oncol.  2008;26(May 20 suppl). Abstract 8035. In mutation positive 71%(I-PASS) response as first-line treatment and 42% (INTEREST) as second-line  Phenotype of NSCLC Patient Prevalence of EGFR Mutation, Which Enhances   Sensitivity to TKIs All 10-15% Elderly  10-15% PS2  10-15% Caucasian never-smokers ~ 35% Asian never-smokers ~ 65%
Gefitinib vs Carboplatin / Paclitaxel (CP) in Never- or Light Ex-Smokers Gefitinib   HR = 0.19,  95% CI 0.13, 0.26,  P  < 0.0001 No. events M+ = 97 (73.5%) No. events M- = 88 (96.7%) Carboplatin / paclitaxel , HR = 0.78,  95% CI 0.57, 1.06,  P  = 0.1103 No. events M+ = 111 (86.0%) No. events M- = 70 (82.4%) 0 4 8 12 16 20 24 Time From Randomization (months) 0.0 0.2 0.4 0.6 0.8 1.0 Gefitinib EGFR M+ (n = 132) Gefitinib EGFR M- (n = 91) Carboplatin / paclitaxel EGFR M+ (n = 129) Carboplatin / paclitaxel EGFR M- (n = 85) Mok T, et al.  N Engl J Med.  2009;361:947-957.
ETS Gene Fusions as Potential Predictive Biomarker Gene 1   (with androgen-sensitive promoter) Gene 2  (encoding ETS transcripton factor) ETS Gene Fusion (with androgen-sensitive promoter driving overexpression of ETS transcription factor ) ,[object Object],[object Object]
Expression levels of ERG vs other commonly investigated biomarkers (e.g EGFR) ,[object Object],[object Object],[object Object]
AR signaling and DNA Damage/Repair  ,[object Object],[object Object],[object Object],Haffner MC,  et al: Nat Genet 42:668-75, 2010,  Lin C, et al:  Cell 139:1069-83, 2009 Haffner M, et al:  Clin Cancer Res, 2011
ERG-positive Xenografts are Preferentially Sensitive to PARP inhibitors ( Olaparib) ERG  (the predominant ETS gene fusion product)  physically interacts with PARP1 PARP1 is required  for ERG-associated function (transcription/invasion) ERG-positive xenografts  are preferentially  sensitive   to PARP  inhibitors
LOI 9012:Objectives ,[object Object],[object Object],[object Object]
LOI 9012: Randomized Phase II Trial of Gene Fusion-Targeted Therapy for Pts with mCRPC N=172  mCRPC  0-1 prior chemotherapy  Assess  ETS  fusions status ETS fusion-positive (~50% of cases) Abiraterone +  PARP1 inhibitor  ETS fusion-negative  patients (~50% of cases) Abiraterone Abiraterone  Abiraterone +  PARP1 inhibitor
Individualized Medicine in prostate Cancer Conclusions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

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NY Prostate Cancer Conference - M.H. Hussain - Session 7: Role of predictive biomarkers as a measure of individualized medicine

  • 1. Role of Predictive Biomarkers as a Measure of Individualized Medicine Maha Hussain, M.D., FACP Professor of Medicine & Urology Associate Director for Clinical Research University of Michigan Comprehensive Cancer Center
  • 2. Identification of “ active” drugs Appropriate Phase III studies Identification of active and safe combinations Adjuvant Neoadjuvant Overarching Objective “ Impact and Change the Standards of Care” This = Decades & $$$$$$
  • 3.
  • 4.
  • 5. Plethora of Targets and Agents in Prostate Cancer What to Pick and How Best to Test? Pathway Target Agents Angiogenesis PDGF receptor Olaratumab Unknown Tasquinimod VEGF Aflibercept VEGF receptor Ramucirumab Androgen Androgen receptor ARN-509, MDV3100 CYP17 Abiraterone, Orteronel Apoptosis BCL-2 AT-101 Clusterin Custirsen Cell division Microtubules Eribulin, nab-Docetaxel DNA repair PARP Veliparib Endothelin Endothelin receptor Atrasentan, Zibotentan Histone acetylation HDAC Vorinostat Immune modulation CTLA-4 Ipilimumab Multiple Lenalidomide Insulin-like growth factor IGF-1R Cixutumumab Other mTOR Everolimus, Temsirolimus Multiple, including Src Dasatinib Multiple, MET/VEGFR2 XL184
  • 6.
  • 7. TAX327 Overall Survival, 2004 Median survival Hazard (mos) ratio P-value Combined: 18.2 0.83 0.03 D 3 wkly: 18.9 0.76 0.009 D wkly: 17.3 0.91 0.3 Mitoxantrone 16.4 – – Months Probability of Surviving 0 6 12 18 24 30 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 Docetaxel 3 wkly Docetaxel wkly Mitoxantrone Tannock et al, N Engl J Med, 2004
  • 8. Kantoff et al, NEJM 363:411-22, 2010 Median Survival 25.8 m vs 21.7 m Sipuleucel-T vs Control Overall Survival , 2010
  • 9. Cabazitaxel vs Mitoxantrone Overall Survival, 2010 De Bono et al, Lancet 2010 Median Survival: 15.1 vs 12.7 m )
  • 10. COU-AA-301: Abiraterone Acetate Overall Survival, 2011 HR = 0.646 (0.54-0.77) P < 0.0001 Placebo: 10.9 months (95%CI: 10.2, 12.0 ) 0 100 200 300 400 500 600 700 0 20 40 60 80 100 Survival (%) Days from Randomization Abiraterone acetate: 14.8 months (95%CI: 14.1, 15.4) 2 Prior Chemo OS: 1 Prior Chemo OS 14.0 mos AA vs 10.3 mos placebo 15.4 mos AA vs 11.5 mos placebo AA 797 728 631 475 204 25 0 Placebo 398 352 296 180 69 8 1
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.
  • 16. How successful are we in selecting and targeting solid tumors? Target ER Her-2 EGFR C-Kit TS Disease Breast Breast Colon GIST Colon Drug Tamoxifen Herceptin Cetuximab Gleevec 5-FU Response (%) 50-60 15-26 (35) 10 60-70 15-20
  • 17. Lung Cancer:EGFR Genotype Cannot Be Reliably Determined by Phenotype Jackman DM, et al. J Clin Oncol. 2008;26(May 20 suppl). Abstract 8035. In mutation positive 71%(I-PASS) response as first-line treatment and 42% (INTEREST) as second-line Phenotype of NSCLC Patient Prevalence of EGFR Mutation, Which Enhances Sensitivity to TKIs All 10-15% Elderly 10-15% PS2 10-15% Caucasian never-smokers ~ 35% Asian never-smokers ~ 65%
  • 18. Gefitinib vs Carboplatin / Paclitaxel (CP) in Never- or Light Ex-Smokers Gefitinib HR = 0.19, 95% CI 0.13, 0.26, P < 0.0001 No. events M+ = 97 (73.5%) No. events M- = 88 (96.7%) Carboplatin / paclitaxel , HR = 0.78, 95% CI 0.57, 1.06, P = 0.1103 No. events M+ = 111 (86.0%) No. events M- = 70 (82.4%) 0 4 8 12 16 20 24 Time From Randomization (months) 0.0 0.2 0.4 0.6 0.8 1.0 Gefitinib EGFR M+ (n = 132) Gefitinib EGFR M- (n = 91) Carboplatin / paclitaxel EGFR M+ (n = 129) Carboplatin / paclitaxel EGFR M- (n = 85) Mok T, et al. N Engl J Med. 2009;361:947-957.
  • 19.
  • 20.
  • 21.
  • 22. ERG-positive Xenografts are Preferentially Sensitive to PARP inhibitors ( Olaparib) ERG (the predominant ETS gene fusion product) physically interacts with PARP1 PARP1 is required for ERG-associated function (transcription/invasion) ERG-positive xenografts are preferentially sensitive to PARP inhibitors
  • 23.
  • 24. LOI 9012: Randomized Phase II Trial of Gene Fusion-Targeted Therapy for Pts with mCRPC N=172 mCRPC 0-1 prior chemotherapy Assess ETS fusions status ETS fusion-positive (~50% of cases) Abiraterone + PARP1 inhibitor ETS fusion-negative patients (~50% of cases) Abiraterone Abiraterone Abiraterone + PARP1 inhibitor
  • 25.

Notes de l'éditeur

  1. Novel agents pose new challenges. Rather than conventional histological criteria for diagnosis, we may need to re-define how we classify cancers based on the mechanism of pathogenesis and therapy. This may allow greater efficiency in the clinical trial process by selecting populations with a greater liklihood of responding to treatments. Novel surrogates will need validation and acceptance by the scientific community. Starting doses of agents may need to be aimed at inhibiting or interacting with a target rather than the MTD. Dose ranging studies, accepted as a norm in most other therapeutic areas, may be accepted by oncologists to avoid toxicities and optimize the therapy’s interaction with targets.
  2. This slide emphasizes why selecting patients for EGFR TKI therapy by clinical characteristics may be less successful.
  3. In addition to our phase I PARPi + RT study, we are also in the process of initiating a multi-center clinical trial stratifying and treating patients by their prostate cancer gene fusion status. Maha – clinical trial Me – translational component