Targeted Molecular Diagnostics for Targeted Therapies in Hematological Disorders

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Targeted Molecular Diagnostics for Targeted Therapies in Hematological Disorders Richard D. Press, MD, PhD Dept of Pathology Knight Cancer Institute Knight Diagnostic Labs Oregon Health & Science University Portland, OR

Overview of Presentation CML: Targeting the causative molecular abnormality (BCR-ABL) with specific tyrosine kinase inhibitors (imatinib, etc) Monitoring TKI treatment with a targeted diagnostic: BCR-ABL RQ-PCR Clinically-relevant RQ-PCR thresholds Loss of response & resistance mutations Both predicted by rising BCR-ABL RNA PCR assay standardization How to realize the international scale Paradigm for other cancers: more genes, more drugs, more complexity

Chronic Myeloid Leukemia (CML) Clonal myeloproliferative disorder of pluripotent stem cells proliferation, apoptosis Cytogenetic hallmark: Ph chromosome Molecular hallmark: Bcr-Abl Bcr-Abl overexpression is causative event 7% to 15% of adult leukemias Median age @ diagnosis: 55 y

The Cytogenetic Hallmark of CML is the Philadelphia Chromosome (Ph) 9q+ Ph 9 22 22q- = Philadelphia chromosome (Ph)

BCR-ABL: The New Paradigm for the Ideal Molecular Therapeutic Target Causative molecular abnormality of CML Sole oncogenic event early in the disease Leukemic clone dependent on Bcr-Abl for survival

Targeted Leukemia Therapy: Imatinib

Targeted CML Therapy with Imatinib

Proportion Surviving TKI s are the recommended front-line therapy for CML 1.0 0.8 0.6 90% Year Total Dead Imatinib 276 14 1990-2000 960 357 1982-1989 365 266 1975-1981 132 127 1965-1975 123 122 0.4 0.2 0.0 0 3 6 9 12 15 Years From Referral 93% progression-free survival (to AP/BC) after 5 years of IM The University of Texas M. D. Anderson Cancer Center database

The Ideal Cancer Biomarker CML (BCR-ABL) as paradigm Specific (diagnostic) for the cancer cell (or cancer-causing molecule) Easily collected sample (blood) Fast, ultra-sensitive, precise lab measurement Quantitative levels predict: Prognosis Response to therapy Early, impending relapse

Sensitivities Of CML Minimal Residual Disease Monitoring 100% 10% 1% Diagnosis: 10 12 Leukemia cells Blood counts Cytogenetics Complete hematologic response Complete cytogenetic response 0.1% PCR Undetectable range Major molecular response Complete molecular response

Bcr-Abl RNA Quantification by Real-Time Quantitative RT-PCR (RQ-PCR) b2 b3 BCR Hyb Probes a2 a3 a4 ABL Hyb Probes b3a2 b2a2 b2a3 b3a3 p210 e1 a2 a3 a4 e1a2 p190 6 log linear dynamic range Limit of detection ~5 logs below baseline (diagnosis) levels (IS scale) Precision: 95% CI ~3-fold (0.5 log) G6PDH reference gene

The View from 30,000 Feet (ie, practical clinical utility) Do bcr-abl RNA levels predict clinical outcomes? Disease progression Evolving imatinib resistance Survival If so, what is the target level for bcr-abl RNA that predicts good outcomes?

Progression-Free Survival (%) Achievement of a 3-log MMR Predicts Longer PFS 100 80 29 month median follow-up log-drop >3 (N=42) 60 Best Molecular Response 40 log-drop < 3 (N=43) 20 0 Hazard ratio = 7.3; 95% CI, 2.8-19 p < 0.0001 0 5 10 15 20 25 30 Time from First CCR (months) Press et al Blood 107:4250 (2006)

ELN Consensus Guidelines: Therapeutic Milestones (as defined by the lab) Month Optimal Suboptimal Failure 3 CHR N/A <CHR 6 <35% Ph+ Ph+ >35% >95% Ph+ 12 CCR (0% Ph) 18 MMR (<0.1% IS) Less than CCR Less than MMR >35% Ph+ Less than CCR Baccarani et al on behalf of the ELN. J Clin Oncol. 2009;27(35):6041-51

Therapeutic Milestones Month Optimal Suboptimal Failure 3 6 12 18 Favorable outcome likely: keep going! Favorable outcome uncertain: consider alternative! Favorable outcome unlikely: change strategy! Baccarani et al on behalf of the ELN. J Clin Oncol. 2009;27(35):6041-51

What does PCR-undetectable mean? How Low Can You Go? Translation: My assay is better than yours

Progression-Free Survival (%) PCR Negativity (CMR) Predicts Prolonged PFS 100 CMR (N=28) 80 60 49 month median IM followup MMR, not CMR (N=48) 40 CMR restricted to samples with sensitivity > 4.7 logs (on IS) 20 0 Hazard ratio = 11 p = 0.0052 0 10 20 30 40 50 Months After MMR Press et al, Clin Cancer Res 13, 6136 (2007)

If low levels of MRD are good, then are rising BCR-ABL levels bad? If so, what amount of rise is worrisome?

Relapse-Free Survival (%) A Half-Log (3.2 fold) RQ-PCR Rise is a Risk Factor For Future Relapse 100 49 month median follow-up No RQ-PCR rise (N=48) 80 60 40 >0.5 log RQ-PCR rise (N=42) 20 0 Hazard ratio = 4.9 p = 0.0017 0 20 40 60 80 Months of Imatinib Press et al Clin Ca Res 13:6136 (2007)

TKI Resistance: BCR-ABL Mutations N=245 pts Rx = Imatinib 4 mutation hot spots : P B C A P-loop IM bind Cat Activation Hughes et al. Blood 2006;108:28-37

Progression-Free Survival (%) 100 KD mutations predict a poor prognosis (now often overcome with other TKI s) 80 60 No mutation (n=67) 40 IM-treated pts 20 P < 0.0001 KD mutation (n=34) 0 Hazard ratio = 3.2 0 6 12 18 24 30 36 42 Months After Mutation Screen Press et al, Blood 114: 2598 (2009)

Sensitivity A 2.6-fold BCR-ABL Rise Optimally Predicts a Concomitant KD Mutation (ROC analysis) 100% 90% J max (2.6-fold) 2-fold 80% 3-fold 70% 60% 50% 5-fold 40% 30% 20% 10% 10-fold N=150 pts with mutation screening 2.6-fold BCR-ABL rise was optimal by ROC 97% NPV (3% with mutation but no transcript rise) 0% 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 1 - Specificity Press et al, Blood 114: 2598 (2009)

Summary BCR-ABL RNA levels are a sensitive predictive biomarker of the response of CML to targeted therapy Clinically-proven prognostic thresholds include: 3-log drop (MMR; 0.1% on the IS) PCR-negativity (CMR) Half-log rise during CCR Presence of kinase domain mutations Optimized threshold for mutation screening = >2.6-fold rise But can labs reliably measure this RNA?

# Labs Count Why Do We Need BCR-ABL Standardization? 18 Histogram CAP MRD-A (2010) N=102 labs tested blinded samples 1/10,000 diluted K562 cells (close to 0.1% IS=MMR) Labs report: Log-drop relative to undiluted K562 cells 16 14 12 10 8 6 4 2 BCR-ABL Log Drop Mean 2.8 Median 2.6 Range Std dev -1.4 to 5.3 (>6 logs) 0.99 logs (9.7-fold) 95% CI 0.83 to 4.7 (3.9 logs) 0-2 -1 0 1 2 3 4 5 6 LogDrop3 Log Drop BCR-ABL Because the inter-lab distribution of results for any given sample is HUGE!

BCR-ABL Standardized Reporting IRIS trial defined 3-log drop from median baseline (MMR) as a good prognostic threshold MMR is an accepted therapeutic goal, now defined (by consensus) as 0.1% international scale (IS) Baseline pretreatment level (CP-CML) = 100% IS (median) Until recently, no reference materials existed with a defined IS value (WHO standard recently available)

Adelaide IS (log) OHSU Conversion Factor Determination N=29 shared samples X=Y Before Conversion: 13/29 within 2-fold 18/29 within 3-fold 26/29 within 5-fold Bias = 0.35 logs (P<0.001) After Conversion: 15/29 27/29 29/29 No Bias Conversion Factor = 2.22 (anti-log bias) IS units (OHSU) = (BCR-ABL ratio) * 2.22 MMR level at OHSU (0.1% IS) = 0.045% OHSU BCR-ABL Ratio (log)

Conversion of BCR- ABL RQ-PCR to Standardized International Scale by inter-lab sample exchanges Branford, S. et al. Blood 2008;112:3330-3338

Freeze dried K562 cells (b3a2) diluted at 4 levels into HL-60 cells Nominal IS % ratio = average value from 10 different IS-standardized labs Limited availability (3500 vials; each 1.5M cells)

Stable, well-characterized, locally-available secondary standards will be useful for: Easier, more widely available establishment of standardized IS-based reporting IS-based reporting is required for assessment of MMR, a consensus and actionable treatment goal Standardize the definition of the low-level detection limit for undetectable samples Current sample-exchange method for conversion to IS is impractical Only 10 of 136 (7%) US labs currently use ISscale reporting [CAP survey MRD-A(2011)] So how do most labs assess treatment response goals (ie, MMR)?

BCR-ABL RQ-PCR (IS)(%) BCR-ABL RQ-PCR (IS)(%) Patient MK 1000 1000 110 110 100 100 10 10 1 1 9 9 0.8 0.8 0.26 0.26 1.0 23 CCR CCR 0.1 0.1 MMR 0.01 0.01 0 3 6 9 12 15 18 0 3 6 9 12 15 18 Months on Imatinib Months on Imatinib

BCR-ABL RQ-PCR (IS)(%) BCR-ABL RQ-PCR (IS)(%) Patient MK 1000 1000 110 110 100 100 10 10 1 1 0.1 0.1 MMR 9 9 0.8 0.8 WT 0.26 0.26 23 G250E (minor) (not ordered) 1.0 1.0 4-fold CCR CCR 0.01 0.01 0 3 6 9 12 15 18 0 3 6 9 12 15 18 Months on Imatinib Months on Imatinib

BCR-ABL RQ-PCR (IS)(%) BCR-ABL RQ-PCR (IS)(%) 1000 1000 110 110 100 100 10 10 1 1 0.1 0.1 MMR 9 9 Patient MK 0.8 0.8 Dasatinib or Nilotinib x? G250E (no 23WT) 23 G250E WT (minor) 1.0 1.0 0.26 0.26 CCR CCR x CCR & 4-fold CHR lost RELAPSE 0.01 0.01 0 3 6 9 12 15 18 0 3 6 9 12 15 18 Months on Imatinib Months on Imatinib

Low-Hanging Fruit: CML & BCR-ABL

Other Cancers will be MUCH harder

Cancer Genotyping for Personalized Receptor tyrosine kinases Cancer Therapy Finding drug targets Erlotinib Lapatinib PF299804 Afatinib Imatinib Crizotinib P ALK P P SHC GRB2 RAF265 Vemurafenib SOS NRAS BRAF KRAS PI3K P P P PTEN BEZ235 P PDK P P AKT P STAT P AZD6244 PD0325901 ARRY162 ERK P MEK P BKM120 BGT226 BYL719 S6K Everolimus Temsirolimus P mtor MK2206 SR13668 P p53

Mass Spectrometry-Based Detection of Genomic Mutations PCR targets of interest ~ 100 bp amplicons A T G C Clean-up steps Primer extension reaction dda T ddg C De-salting step G A MALDI-TOF Mass spectrometry

Mass Spec Leukemia Panel: 370 mutations / 31 genes ABL AKT1 AKT2 AKT3 BRAF CBL CBLB FBXW7 FES FGFR4 FLT3 FMS GATA1 HRAS IDH1 IDH2 JAK1 JAK2 JAK3 KIT KRAS MET MPL NOTCH1 NPM1 NRAS NTRK1 PAX5 PDGFRB PTPN11 SOS1

Mutation Spectrum in AML (108 OHSU cases) Normal cytogenetics: 78% mutation frequency Abnormal cytogenetics: 43% mutation frequency Mutation discovery with 31-gene mass spec panel plus single gene in-del assays (FLT3, CEBPA, KIT) J Dunlap, in press

Next Generation (Massively Parallel) Sequencing? - Broader coverage, including tumor suppressors - Better sensitivity, through deeper reads -? Lower costs, through multiplexing - More comprehensive cancer genome characterization for targeted therapeutic, prognostic, (diagnostic) discovery Single gene assays Multiplexed hotspots Multigene panels Whole exome Whole genome ABI Sequenom MassArray Ion Torrent PGM 454 Illumina HiSeq

NGS Cancer Panel (OHSU 2012) 739 hotspots covered by 190 amplicons Single tube amplification Average amplicon length: 119 bp (100-169 bp) Input DNA: 10 ng (Fresh or FFPE) Turn-around time: 48 hours 46 genes: ABL1, AKT1, ALK, APC, ATM, BRAF, CDH1, CDKN2A, CSF1R, CTNNB1, EGFR, ERBB2, ERBB4, FBXW7, FGFR1, FGFR2, FGFR3, FLT3, GNAS, HNF1A, HRAS, IDH1, JAK2, JAK3, KDR, KIT, KRAS, MET, MLH1, MPL, NOTCH1, NPM1, NRAS, PDGFRA, PIK3CA, PTEN, PTPN11, RB1, RET, SMAD4, SMARCB1, SMO, SRC, STK11, TP53, VHL

The Future: NGS Disease-Specific Gene Panels Cancer Site Target genes # Exons Kilobases Ampli -cons New Genes (not in Ampliseq) Lung 23 224 34.3 502 9 Colon 16 157 31.8 405 6 Melanoma 21 113 13.9 231 9 AML / ALL / MDS 42 342 62.6 863 28 Ion Torrent custom primer design software used to design primers for library prep Proprietary primer modifications allow massive multiplexing: 2-4 PCR reactions per library prep

Challenges for Targeted Molecular Diagnostics Assay Standardization Gene Patents (restricted licensing) Costs & Reimbursements Regulations LDT s vs IVD s Quality Control (proficiency testing)

Acknowledgements Press Lab Carole Rempfer Rui Yang Ashlie Tronnes Zac Love Chad Galderisi Jennifer Laudadio Fei Yang Collaborators Brian Druker Mike Deininger Mike Mauro Chris Corless Carol Beadling

Oregon Health & Science University