University of British Columbia British Columbia Cancer Agency

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University of British Columbia British Columbia Cancer Agency Clinical Considerations in EGFR Mutation–Positive NSCLC: Does Treatment Sequence Matter? Barbara Melosky University of British Columbia British Columbia Cancer Agency

Faculty Disclosure Honoraria: AstraZeneca, Boehringer Ingelheim, Bristol-Myers Squibb, Eli Lilly, Merck, Novartis, Pfizer

Choosing the Sequence in EGFR-Mutant NSCLC Evidence #1 TKIs are standard up front but they are not equal Evidence #3 Evidence #2 Sequence affects survival Mutational subgroup/ resistance pattern determines treatment choice NSCLC = non–small cell lung cancer; TKI = tyrosine kinase inhibitor. Girard. Future Oncol. 2018;14:1117.

Choosing the Sequence in EGFR-Mutant NSCLC Evidence #1 TKIs are standard up front but they are not equal Girard. Future Oncol. 2018;14:1117.

Metabolised by CYP Enzymes Possible Drug-Drug Interactions First-, Second-, and Third-Generation EGFR TKIs Are Not Equal: Activity Against EGFR Mutations Wild-type EGFR Intrinsic mutant EGFR K ErbB heterodimers e.g. HER2: ERBB3 Acquired T790M EGFR K Kinase domain Drug Metabolised by CYP Enzymes Possible Drug-Drug Interactions Erlotinib  Gefitinib Afatinib X Dacomitinib Osimertinib K K K K K K Erlotinib Gefitinib 1st-generation TKI Activity range EGFR inhibition Reversible binding to wild-type and mutant EGFR Inactive on T790M mutant Afatinib Dacomitinib 2nd-generation TKI Activity range ErbB family blockade Irreversible covalent binding to EGFR, ErbB2 and ErbB4 to inhibit all ErbB family signalling Broader activity to overcome EGFR TKI-resistant mutations Osimertinib 3rd-generation TKI Activity range EGFR mutant-specific inhibitor Irreversible covalent binding to mutant EGFR Specificity for EGFR T790M mutant; EGFR wild-type sparing Girard. Future Oncol. 2018;14:1117; Cross et al. Cancer Discov. 2014;4:1046; Li et al. Oncogene. 2008;27:4702; Peters et al. Cancer Treat Rev. 2014;40:917; TAGRISSO Prescribing Information. March 2017.

First- and Second-Generation EGFR TKIs Are Not Equal: LUX-Lung 7 LUX-Lung 7: Afatinib vs gefitinib as first-line treatment of patients with EGFR mutation‒positive NSCLC: a phase 2B, open-label, randomised controlled trial Gefitinib Afatinib P=0.002 P=0.150 P=0.003 Afatinib (n=160) Gefitinib (n=159) Median, mo 11.0 10.9 HR (95% CI) P value 0.74 (0.57-0.95) 0.0178 100 80 60 PFS (%) 17% 9% 27% 40 27% 16% 20 16% 8% 3 6 9 12 15 18 21 24 27 30 33 26 39 42 45 48 51 Months No. at risk Afatinib 160 142 113 94 67 47 34 26 20 13 10 8 4 3 159 132 105 82 51 21 15 7 5 Gefitinib PFS = progression-free survival; HR = hazard ratio; CI = confidence interval. Corral et al. Ann Oncol. 2017;28 (suppl 2):ii28.

First- and Second-Generation EGFR TKIs Are Not Equal: ARCHER 1050 ARCHER 1050: Dacomitinib vs gefitinib as first-line treatment of patients with EGFR mutation‒positive NSCLC: a phase 3, open-label, randomised trial (excluding CNS metastases) PFS: Blinded Independent Review (ITT Population) Daco (n=227) Gef (n=225) Events, n (%) 136 (59.9%) 179 (79.6%) Median PFS (95% Cl) 14.7 (11.1-16.6) 9.2 (9.1-11.0) HR (95% Cl) 0.59 (0.47-0.74) P<0.0001 1.0 Advanced NSCLC with EGFR-activating mutation(s) No prior systematic treatment of advanced NSCLC No CNS metastasis No prior EGFR TKI or other TKI ECOG PS 0, 1 Dacomitinib 45 mg PO QD (n=227) Gefitinib 250 mg PO QD (n=225) Primary end point PFS by blinded independent review ≥256 PFS events PFS HR ≤0.667 (50%↑) 90% power 1-sided ɑ=0.025 mPFS: 14.3 vs 9.5 months R 1:1 (N=452) 0.8 0.6 PFS rate 30.6% vs 9.6% Probability of PFS 0.4 0.2 ++ Censored 6 12 18 24 30 36 42 Months No. at risk Dacomitinib 227 154 106 73 20 6 Gefitinib 225 155 69 34 7 1 CNS = central nervous system; ECOG PS = Eastern Cooperative Oncology Group performance status; R = randomised; PO = orally; QD = once daily; mPFS = median progression-free survival; ITT = intent-to-treat. ClinicalTrials gov. https://clinicaltrials.gov/ct2/show/NCT01774721. Accessed March 16, 2018; Mok et al. J Clin Oncol. 2017;35(suppl 18):LBA9007; Wu et al. Lancet Oncol. 2017;18:1454.

First- and Second-Generation EGFR TKIs Are Not Equal: FLAURA FLAURA: Osimertinib vs erlotinib or gefitinib as first-line treatment of patients with EGFR mutation‒positive NSCLC: a phase 3, double-blind, randomised trial Primary endpoint: PFS (By investigator assessment) Date cut-off 12 Jun 2017. Tick marks indicate censored data. “For statistical significance, P-value of less than 0.0015, determined by O’Brien Planning approach was required. CI = confidence interval; DCO = data cut-off; HR = hazard ratio; NS = not significant; PFS = progression-free survival. Soria J-C et al. N Engl J Med. 2018;378:113.

First-, Second-, and Third-Generation EGFR TKIs Are Not Equal: Safety Second- or Third-Generation TKIs vs First-Generation TKIs LUX-Lung 71,2 ARCHER 10503 FLAURA4 Afatinib (n=160) Gefitinib (n=159) Dacomitinib (n=227) Gefitinib (n=225) Osimertinib (n=279) First-gen TKI (n=277) Treatment discontinuation rate 6% 10% 7% 14% Most common grade ≥3 AEs Diarrhoea, 12% Rash/acne, 9% Liver enzyme elevation, 9% Rash/acne, 3% Acne, 14% Diarrhoea, 8% Paronychia, 7% Liver enzyme elevation, 12% Dyspnoea, 3% Diarrhoea, 2% Decreased appetite, 2% Rash/acne, 7% Liver enzyme elevation, 12% AE = adverse event. 1. Park et al. Lancet Oncol. 2016;17:577; 2. Paz-Ares et al. Ann Oncol. 2017;28:270; 3. Wu et al. Lancet Oncol. 2017;18:1454; 4. Soria et al. N Engl J Med. 2018;378:113.

Estimated PFS Probability Dose Reduction of Afatinib Reduced Drug-Related AEs Without Compromising Efficacy Treatment-Related AEs in Patients Who Had a Dose Reduction From 40 mg (n=63) PFS in Patients Who Received a Dose Reduction Within the First 6 Months of Treatment Before Reduction (≥40 mg) After Reduction (<40 mg) <40 mg for First 6 Months (n=47) ≥40 mg for First 6 Months (n=113) Median, mo 12.8 11.0 HR (95% CI) P value 1.34 (0.90-2.00) 0.1440 1.0 0.8 0.6 Estimated PFS Probability 0.4 All grades Grade ≥3 0.2 3 6 9 12 15 18 21 24 27 30 33 36 39 Months No. at risk: <40 mg 47 45 34 28 22 15 11 10 9 7 3 1 ≥40 mg 113 97 78 66 45 32 23 17 12 6 3 2 1 Hirsh et al. J Clin Oncol. 2016;34(suppl 15):9046.

Choosing the Sequence in EGFR-Mutant NSCLC Evidence #1 TKIs are standard up front but they are not equal Evidence #2 Mutational subgroup/ resistance pattern determines treatment choice Girard. Future Oncol. 2018;14:1117.

First-Line: PFS Efficacy of TKIs Is Different in EGFR del19/L858R Mutations Impact of specific EGFR mutations and clinical characteristics on outcomes after treatment with EGFR TKIs vs chemotherapy in EGFR M+ lung cancer: a meta-analysis Trial HR 95% Cl Exon 19 deletion Exon 21 L858R substitution ENSURE 0.20 0.12-0.33 0.54 0.32-0.91 EURTAC 0.27 0.17-0.43 0.53 0.29-0.97 LUX-Lung 3 0.28 0.18-0.44 0.73 0.46-1.16 LUX-Lung 6 0.13-0.32 0.32 0.19-0.54 NEJ002 0.24 0.15-0.38 0.33 0.20-0.54 OPTIMAL 0.13 0.07-0.24 0.26 0.14-0.48 WJTOG 3405 0.42 0.26-0.66 0.69 0.44-1.07 AII 0.20-0.29 0.48 0.39-0.58 TKI Chemo TKI Chemo Lee et al. J Clin Oncol. 2015;33:1958.

First-Line: OS Efficacy of TKIs Is Different in EGFR del19/L858R Mutations Agent Study HR (95% CI) Del19 Afatinib LUX-Lung 3 0.53 (0.36-0.79) 1.30 (0.80-2.11) LUX-Lung 6 0.64 (0.44-0.94) 1.22 (0.81-1.83) Total 0.59 (0.45-0.77) 1.25 (0.91-1.71) Erlotinib ENSURE 0.79 (0.48-1.30) 1.05 (0.60-1.84) EURTAC 0.94 (0.57-1.54) 1.00 (0.56-1.79) OPTIMAL 1.52 (0.91-2.52) 0.92 (0.55-1.54) 1.04 (0.71-1.51) 0.98 (0.72-1.35) Gefitinib IPASS 0.86 (0.61-1.22) 1.40 (0.91-2.15) NEJ002 0.83 (0.52-1.34) 0.82 (0.49-1.38) WJTOG3405 1.19 (0.65-2.18) 1.11 (0.60-2.05) 0.90 (0.70-1.17) 1.11 (0.81-1.54) L858R 0.01 0.1 1 10 100 0.01 0.1 1 10 100 Favours afatinib Favours chemotherapy Favours afatinib Favours chemotherapy 0.01 0.1 1 10 100 0.01 0.1 1 10 100 Favours erlotinib Favours chemotherapy Favours erlotinib Favours chemotherapy 0.01 0.1 1 10 100 0.01 0.1 1 10 100 Favours gefitinib Favours chemotherapy Favours gefitinib Favours chemotherapy OS = overall survival. Kato et al. Value Health. 2015;18:A436.

Estimated OS Probability Estimated OS Probability LUX-Lung 3 and LUX-Lung 6: OS in Del19 Subgroup (Prespecified Endpoint) LUX-Lung 3 Estimated OS Probability 1.0 0.8 0.6 0.4 0.2 3 6 9 12 15 18 21 24 27 30 33 36 39 Months No. at risk: Afatinib 112 108 105 102 96 93 83 80 72 62 58 51 34 30 21 6 1 0 Cis/Gem 57 55 50 46 43 37 33 27 25 22 20 16 10 6 1 1 0 0 42 45 48 51 LUX-Lung 6 Estimated OS Probability 1.0 0.8 0.6 0.4 0.2 3 6 9 12 15 18 21 24 27 30 33 36 39 Months No. at risk: Afatinib 124 122 118 115 106 99 90 80 73 69 59 39 16 8 1 0 Cis/Gem 62 58 53 49 44 35 30 28 26 21 18 11 4 3 0 0 42 45 Afatinib (n=112) Cis/Gem (n=57) Median, mo 33.3 21.1 HR P-value 0.54 (0.36–0.79) P=0.0015 Afatinib (n=124) Cis/Gem (n=62) Median, mo 31.4 18.4 HR P-value 0.64 (0.44–0.94) P=0.0229 Afatinib Cis/Pem Afatinib Cis/Gem 33.3 months 31.4 months Yang et al. Lancet Oncol. 2015;16:141-151.

First-Line: Afatinib Is Effective for Uncommon EGFR Mutations Clinical activity of afatinib in patients with advanced NSCLC harbouring uncommon EGFR mutations: a combined post hoc analysis of LUX-Lung 2, 3, and 6 Group 3 (n=20): exon 20 insertions Group 2 (n=14): T790M mutations Group 1 (n=33): exon 18-21: G719X, L861Q 120 40 T790M (n=14) Exon 20 Ins (n=23) Mut/Dup Exon 18-21 (n=38) G719X (n=18) L861Q (n=16) S768I (n=8) Response rate (%) 14.3 8.7 71.1 77.8 56.3 100.0 PFS (mo) 2.9 2.7 10.7 13.8 8.2 14.7 OS (mo) 14.9 9.2 19.4 26.9 17.1 NE 100 35 30 80 25 60 20 40 15 10 20 Maximum Change From Baseline (%) PFS (mo) 5 –20 –40 –60 –80 –100 5 10 15 20 25 30 35 40 45 50 55 60 65 70 Patient index sorted by maximum % decrease in descending order Note: A patient may be presented in more than 1 category. Yang et al. Lancet Oncol. 2015;16:830.

Choosing the Sequence in EGFR-Mutant NSCLC Evidence #1 TKIs are standard up front but they are not equal Evidence #2 Mutational subgroup/ resistance pattern determines treatment choice Girard. Future Oncol. 2018;14:1117.

Molecular Mechanisms of Acquired Resistance to First- and Second-Generation EGFR TKIs 155 EGFR-mutant NSCLC, acquired resistance after TKI Molecular analyses on rebiopsy specimen Yu et al. Clin Cancer Res. 2013;19:2240.

AURA 3: Osimertinib Standard of Care for T790M+ Acquired Resistance to First- and Second-Generation EGFR TKIs Osimertinib Platinum/pemetrexed Median PFS (mo) (95% Cl) 10.1 (8.3-12.3) 4.4 (4.2-5.6) No. of Patients 279 140 Probability of PFS Months 3 6 9 12 15 18 0.2 0.4 0.6 0.8 1.0 BICR: PFS 11.0 months HR for disease progression or death, 0.30 (95% CI, 0.23-0.41) P<0.001 No. at risk Osimertinib 279 240 162 88 50 13 0 Platinum/pemetrexed 140 93 44 17 7 1 0 And we have the AURA-3 data, with PFS data showing the benefit of osimertinib over platin-based chemotherapy in this setting of T790M+ acquired resistance to first-generation TKIs Mok et al. N Engl J Med. 2017;376:629.

Biopsy or Plasma May be Used to Determine EGFR T790M Status Oxnard et al. J Clin Oncol. 2016;34:3375; Jenkins S et al. J Thorac Oncol. 2017;12:1061.

Choosing the Sequence in EGFR-Mutant NSCLC Evidence #1 TKIs are standard up front but they are not equal Evidence #3 Evidence #2 Sequence affects survival Mutational subgroup/ resistance pattern determines treatment choice Girard. Future Oncol. 2018;14:1117.

OS in EGFR-Mutant NSCLC: ARCHER 1050 Trial (Excluding Brain Metastases) 100 ++ Censored 90 HR, 0.760 (95% CI, 0.582–0.993) P=0.0438 80 70 60 OS (%) 50 40 Dacomitinib (n = 277) Gefitinib (n = 225) No. of deaths 103 117 Median (95% CI) OS, mo 34.1 (29.5-37.7) 26.8 (23.7-32.1) 30 20 10 6 12 18 24 30 36 42 48 No. at risk: Months Dacomitinib 227 206 188 167 138 77 14 3 Gefitinib 225 213 186 144 113 63 12 3 Third-generation EGFR TKIs were used as a first subsequent therapy in 22 patients (9.7%) in the dacomitinib arm and in 25 patients (11.1%) in the gefitinib arm Median OS in patients subsequently treated with third-generation TKIs was 36.7 (95% CI: 30.1-NR) months in the dacomitinib arm NR = not reported. Mok et al. J Clin Oncol. 2018;36:2244.

OS in EGFR-Mutant NSCLC: LUX-Lung 3 Trial Common Mutations (Del19/L85R) (n=307) 18 6 12 24 30 36 42 51 0.2 0.4 0.6 0.8 1.0 Months Estimated OS Probability Afatinib Cis/Pem No. at risk: 3 9 15 21 27 33 39 45 48 143 203 188 171 121 101 58 32 197 181 162 133 108 90 49 1 63 104 92 81 52 40 26 10 98 86 71 55 47 35 20 5 Common Mutations Afatinib (n = 203) Cis/Pem (n = 104) Median, mo 31.6 28.2 HR (95% CI) 0.78 (0.58-1.06) OS was up to 41.5 months in del19 patients in countries with a universal healthcare reimbursement policy Yang et al. Lancet Oncol. 2015;16:141.

Estimated OS Probability OS in Patients in LUX-Lung 3, 6, and 7 Treated Subsequently With Osimertinib 1.0 0.8 0.6 Estimated OS Probability 0.4 71% of patients received subsequent therapy Median follow-up = 4.7 years 0.2 6 12 18 24 30 36 42 48 54 60 66 72 Months No. at risk: Afatinib 37 37 37 37 37 37 36 35 28 20 12 3 Sequist et al. Ann Oncol. 2017;28(suppl 2):ii28.

OS in Patients Treated With First-Line Osimertinib 1.0 0.8 0.6 Probability of OS 0.4 Osimertinib Erlotinib or Gefitinib No. of patients 279 277 Median OS (95% CI), mo NC (NC-NC) HR for death, 0.63 (95% CI, 0.45-0.88) P=0.007 0.2 0.0 3 6 9 12 15 18 21 24 27 30 33 No. at risk: Months Osimertinib 279 276 269 253 243 232 154 87 29 4 Erlotinib or Gefitinib 277 263 252 237 218 200 126 64 24 1 FLAURA OS DATA ARE IMMATURE (25% MATURITY) NC = not calculable. Soria et al. N Engl J Med. 2018;378:113.

Treatment Sequences in EGFR-Mutant NSCLC After First-Line EGFR TKI Except if molecular target Osimertinib Chemotherapy T790M+ First-/Second-Generation TKI Chemotherapy TKI rechallenge? Chemotherapy? Immunotherapy T790M- Other MET/HER2 inhibitor Osimertinib Chemotherapy Except if molecular target NEED MATURE OS AND TREATMENT SEQUENCES FROM FLAURA and AURA 3 And we still need the mature data from clinical trials with osimertinib to have a better idea of the optimal sequence Girard. Future Oncol. 2018;14:1117.

How Do We Optimise Sequence? CNS disease and progression Data for afatinib and osimertinib show delay in onset and progression of CNS metastases Loss of patients from one line to another Treatment of oligoprogression, treatment beyond PD Clinical factors Optimisation of treatments Antiangiogenics Anti-EGFR antibodies Chemotherapy + TKI EGFR mutational subgroups (eg, del19, L858R, uncommon mutations) determine treatment choice Resistance mechanisms impact subsequent therapy choice Understanding of biology PD = disease progression.

Choosing the Sequence in EGFR-Mutant NSCLC Evidence #1 TKIs are standard up front but they are not equal Evidence #3 Evidence #2 Sequence makes survival Mutational subgroup/ resistance pattern determines treatment choice Girard. Future Oncol. 2018;14:1117.