Development of Rational Drug Combinations for Oncology Indications - An Industry Perspective

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Development of Rational Drug Combinations for Oncology Indications An Industry Perspective Stuart Lutzker, MDPhD Vice President Oncology Early Development Genentech Inc 1

Conventional Oncology Drug Development Identify a biological feature (relatively) unique to cancer cells versus normal cells Ex. Constitutively activated growth factor signaling pathway Identify a drugable target Generate clinical candidates with acceptable preclinical pharmacology and toxicology Assess human safety and PK Assess clinical activity either as a single agent or in combination with standard of care (SOC) therapy in tumor type of highest interest

Limitations of developing targeted drugs one target at a time High failure rate due to Lack of clinically meaningful single agent activity Inability to combine with SOC therapy (ie. chemotherapy) Approved drugs may have only modest benefit Pathway not fully suppressed Biological process not fully suppressed (Ex. tumor angiogenesis) Resistance pathways either preexist or are induced Disease heterogeneity Value of the drug to patients and sponsor not fully realized

Examples of Genentech Drug Combinations Drug MOA Drug MOA Status Tarceva EGFR inhibitor Avastin Antiangiogenesis Phase III negative Tarceva EGFR inhibitor MetMAb Met inhibitor Phase III Herceptin HER2 Signaling Pertuzumab HER2 Signaling Phase III Rituxan ADCC Navitoclax 1 BCL2 inhibitor Phase II Avastin Antiangiogenesis AntiEGFL7 Antiangiogenesis Phase II Avastin Antiangiogenesis AntiNRP1 Antiangiogenesis Phase Ib terminated Vemurafenib RAF inhibitor Yervoy 2 Immunotherapy Phase Ib Vemurafenib RAF inhibitor GDC0973 MEK inhibitor Phase Ib GDC0941 PI3K inhibitor GDC0973 MEK inhibitor Phase Ib FDA approved NDA submitted 1 codevelopment with Abbott 2 BMS

Strategies to enhance the antiangiogenic activity of bevacizumab Bevacizumab: EC apoptosis, tumor regression/stasis Drugs that sensize tumor vasculature to Bevacizumab (antinrp1) Vascular Maturation Other Angiogenic factors Drugs that prevent vascular recovery from Bevacizumab (antiegfl7)

AntiNRP1 Potentiates Bevacizumabinduced Proteinuria Proteinuria was not observed in the antinrp1 Phase I Phase Ib: Arm A escalating doses antinrp1 with Bevacizumab Arm B escalating doses of antinrp1 with Bevacizumab/Taxol Arm A Arm B Cohort (mg/kg) n Grades 12 (n) Grades 34 (n) All Grades (%) 15 3 2 0 67 24 7 2* 1 43 Subtotal % 14 29 7 36 12 5 2 1 60 16 5 1 1** 40 Subtotal % 10 30 20 50 Total % 29 13 42 Urine dipstick (0, 1, 2 and 3) New 2 urine dipstick (Grade 2) in 5/5 of patients on study for 6 cycles Cycle # AntiNRP1 development terminated AntiEGFL7 found to be safe and tolerable in a similar Phase Ib and has moved into Phase II testing with chemo/avastin TAT, 2011 and Proc ASCO, 2011

NEOSPHERE A randomized Phase II evaluating combination therapy targeting HER2 Patients with operable or locally advanced / inflammatory* HER2positive BC Chemonaïve & primary tumors >2cm (N=417) TH (n=107) docetaxel (75 100 mg/m 2 ) trastuzumab (8 6 mg/kg) THP (n=107) docetaxel (75 100 mg/m 2 ) trastuzumab (8 6 mg/kg) pertuzumab (840 420 mg) HP (n=107) trastuzumab (8 6 mg/kg) pertuzumab (840 420 mg) TP (n=96) docetaxel (75 100 mg/m 2 ) pertuzumab (840 420 mg) S U R G E R Y Primary endpoint: comparison of pcr rates TH vs THP TH vs HP THP vs TP Secondary endpoints: Clinical response DFS Breast conservation rate Biomarker evaluation Study dosing: q3w x 4 Proc SABCS, 2010

Pertuzumab increased pcr when added to trastuzumab/docetaxel pcr, % ± 95% CI 50 40 30 20 10 0 p = 0.0141 p = 0.003 45.8 29.0 24.0 16.8 TH THP HP TP Proc SABCS, 2010 H, trastuzumab; P, pertuzumab; T, docetaxel

Data supporting an erlotinib plus antimet Ab (MetMAb) combination in NSCLC In vitro NSCLC cell line H596 Treatment Erlotinib IC 50 (µm) TGFα TGFα HGF 0.508 >10 MetMAb 0.997 H596: MetExon14Δ, EGFR WT cell line Mean tumor vol. mm 3 In vivo mouse model 1800 1500 1200 900 600 300 150 mg/kg 30 mg/kg HGFTgC3HSCID H596 0 0 7 14 21 28 35 42 49 56 63 Day Placebo Erlotinib MetMAb MetMAb erlotinib Clinical MET gene amplification is associated with EGFRTKI resistance in EGFR mutant NSCLC (Engelman et al., Science 2007) Proc ASCO, 2011

MetMAb plus erlotinib in Met Dx patients PFS: HR=0.53 OS: HR=0.37 Placebo erlotinib MetMAb erlotinib Placebo erlotinib MetMAb erlotinib Probability of progression free 1.0 0.8 0.6 0.4 0.2 Median (mo) HR (95% CI) Logrank pvalue No. of events 1.5 2.9 0.53 (0.28 0.99) 0.04 27 20 Probability of survival 1.0 0.8 0.6 0.4 0.2 Median (mo) HR (95% CI) Logrank pvalue No. of events 3.8 12.6 0.37 (0.19 0.72) 0.002 26 16 0.0 0 3 6 9 12 15 18 Time to progression (months) 0.0 0 3 6 9 12 15 18 21 Overall survival (months) Proc ASCO, 2011

Targeting PI3KAKTmTOR and RASRAF MEK Pathways GF RTK Scientific Rationale GDC0941 PTEN PI3K P P P P Ras Pathways downstream of validated oncology drug targets (HER2, EGFR, KIT) PDK1 S6K AKT mtor S c a f f o l d Raf MEK ERK GDC0973 Prominent mutational activation in multiple tumor types Extensive pathway crosstalk leading to primary or acquired resistance to single agent/single pathway therapy

Combined effects of PI3Ki and MEKi on markers of pathway signaling, cell cycle, and apoptosis Pathway Inhibition Cell cycle Apoptosis 1xEC 50 GDC0973 GDC0941 perk1/2 pakt(t308) GDC0973 = 0.05 µm GDC0941 = 2.5 µm 1xEC 50 GDC0973 GDC0941 perk1/2 pakt(t308) GDC0973 = 0.3 µm GDC0941 = 2.5 µm 1xEC 50 GDC0973 GDC0941 perk1/2 pakt(t308) GDC0973 = 0.05 µm GDC0941 = 2.5 µm ppras40(t246) cyclin D1 BimEL(23kD) ps6(s235/236) ps6(s240/244) S6 p27 Kip1 actin/gapdh BimL(15kD) BimS(12kD) actin/gapdh 888MEL BRAFV600E 624MEL BRAFV600E 888MEL BRAFV600E Proc ASCO, 2011

Daily (and intermittent) dosing of GDC0973 and GDC0941 results in combination efficacy in xenografts Vehicle, GDC 0973, GDC 0941, CombinaKon A375 BRAF V600E Melanoma 6 CR (n=10/grp) 2 PRs, 8 CRs 3 mg/kg QD 100 mg/kg QD 10 mg/kg QD 100 mg/kg QD A2058 BRAF V600E PTEN null Melanoma NCIH2122 KRAS G12C NSCLC 5 mg/kg QD 75 mg/kg QD 5 mg/kg QD 100 mg/kg QD DLD1 KRAS G13D PIK3CA E545K CRC Proc ASCO, 2011

Phase Ib Study of GDC0973 and GDC0941 Dose Escalation Cohorts 21/7 MEKi Dosing Intermittent MEKi Dosing Dose Escalation Schema GDC0973 (mg) QD 21/7 80 60 40 20 2 6a 6 4 5 3 100 A 1 80 100 130 GDC0941 (mg) QD 21/7 GDC0973 (mg) D 1, 4, 8, 11, 15, 18 of a 28 day cycle 125 C B 130 180 GDC0941 (mg) QD 21/7 33 study design PK sample collection Serial FDGPET scans Tumor assessments q8 weeks Archival tumor tissue collection Proc ASCO, 2011

Example of antitumor activity in KRAS mutant endometrial cancer 125 mg GDC0973 intermittent 130 mg GDC0941 21/7 3/28/11 4/15/11 Proc ASCO, 2011 5/18/11

Summary and Conclusions Rational combination strategies have started to yield promising results in the clinic Success requires a strong scientific rationale and pharmacologically compatible molecules Early Phase Ib testing of combinations is feasible and recommended Efficiently identifying an optimal dose and schedule for combinations of small molecules is challenging Biomarkers (predictive and pharmacodynamic) for the combination should be strongly considered Enhanced toxicity (either additive or synergistic) will derail some combinations Direct collaboration between sponsors is happening at early stages of drug development to rapidly evaluate promising drug combinations