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Highlights in drug therapy of tumors with oncogenic drivers
Luis Paz-Ares
Hospital Universitario Doce de Octubre,
Madrid, Spain
Conflict of Interest Disclosure
Scientific advice and clinical trials
• MSD
• BMS
• Roche
• Astra-Zeneca
• Lilly
• Boehringer
• Clovis
• Pfizer
Topics
• New targets
• Met – Exon 14
• TRK 1
• DLL3 - SCLC
• Important Targets
• EGFR
• ALK, ROS, RET, BRAF
Topics
• New targets
• Met – Exon 14
• TRK 1
• DLL3 - SCLC
• Important Targets
• EGFR
• ALK, ROS, RET, BRAF
NSCLC - Genotype
NTRK fusions
Tumor Shrinkage Seen in Intermediate <br />and High MET Cohorts
Camidge RD et al. ASCO 2014
NSCLC with MET amplificationResponse to Crizotinib
Crizotinib in MET Amplified NSCLC
AcSé Trial• N = 25
• At 8 weeks – ORR 39%
– 7/18 PRs, 6/18 SD, 5/18 PD
Moro-Sibilot et al. WLCC 2015
MET mutations• Somatic mutations affecting splice
sites of exon 14 of the MET gene (MET ex14) were first reported in primary lung cancer
• MET ex14 alterations were shown to promote RNA-splicing-basedskipping of MET exon 14, whichresults in activation of MET kinaseactivity
• The portion of the protein encodedby exon 14 is required for efficientrecruitment of the ubiquitin ligaseCBL
• Loss of MET exon 14 maintains the reading frame and leads to increased MET stability and prolonged signaling upon HGF stimulation, leading to increasedoncogenic potentialMa et al, Cancer Res 2003
Kong-Beltran et al Cancer 2006Paik et al, Cancer Discovery 2015
MET exon 14 Mutations - Incidence
Disease
Cases with
MET exon
14
Total
casesFrequency
Lower -
Upper 95%
CI
Lung adenocarcinoma 131 4,402 3.0% 2.5 – 3.5%
Other lung neoplasms 62 2,669 2.3% 1.8 – 3.0%
Brain glioma 6 1,708 0.4% 0.1 – 0.8%
Tumors of unknown primary origin 15 3,376 0.4% 0.2 – 0.7%
Female reproductive system
neoplasm0 7,436 0%
0 – 0.05%
Colon and rectum neoplasm 0 3,714 0% 0 – 0.1%
Pancreas neoplasm 0 1,424 0% 0 – 0.3%
All other tumor types 7 13,299 0.05% 0.02 - 0.11%
Adrenal gland cortical carcinoma 1
Kidney renal cell carcinoma 1
Liver hepatocellular carcinoma 1
Skin merkel cell carcinoma 1
Soft tissue rhabdomyosarcoma 1
Soft tissue sarcoma 1
Soft tissue synovial sarcoma 1
Total 221 38,038
Frampton GM al. WLCC 2015
Pt 2 (A)
METex14 alteration (MET c.3028G>C) and multiple others
GCN =6
MET IHC H-score 300
Cabozantinib SD 5.1+ (CR by PERCIST)
Pt 4 (B)
METex14 alteration (MET c.3024_3028del) and multiple others
MET not amplified
MET IHC H-score 300
Crizotinib 3.6 months, PR
Pt 5 (C&D)
METex14 alteration (MET c.3001_3021del) and multiple others
GCN = 3.8
Crizotinib 4.6+ months, PR
Pt 7 (E)
METex14 alteration (MET c.3001_3021del)
MET not amplified
MET IHC H-score 300
Crizotinib 3.1+ months, PR
Paik PK, et al. Cancer Discov 2015
METex14 alterations and response to MET TKI
Selected examples
NTRK Fusions
Doebele et al. Cancer Discovery 2015
Single 5’ (green)Single 3’ (red)
Gene PatientsScreened
Positive Cases
Age (Years) Gender Smoking
Status Histology
NTRK1 443 5 - 1.1% 48 to 762M 3F
2 never 2 current
1 unknown
3 ADC1SCC1NE
NTRK2 410 5 - 1.2% 38 to 73 5M3 former 2 current
3 ADC 2 SCC
NTRK3 434 1 - 0.2% 66 1M 1 former 1 ADC
NTRK Fusions in NSCLC
Doebele et al. Cancer Discovery 2015
LMNA:NTRK1 response to TRK inhibitor
Study baseline LOXO-101 cycle 5 day 1 LOXO-101 cycle 2 day 1
Doebele et al. Cancer Discovery 2015
TRK inhibitors under development
Doebele et al. Cancer Discovery 2015
DLL3 is a dominant inhibitor of Notch signaling
• Normally expressed during development in the Golgi
• Aberrantly expressed in SCLC tumor-initiating cells
• Interacts with and inhibits Notch1 in cis
• May mediate Notch inhibition downstream of ASCL1
DLL3 expression by IHC in SCLC
Vanderbilt SC16LD6.5 Trial Case Western
0
50
100
150
200
250
300C
ell
ula
r M
em
bra
ne
H-S
co
re
n = 50
Courtesy of A. Dowlati
n = 106 n = 22
VANDYTMA
(Naïve)
SC16LD6.5TRIAL
(Naïve)
CASE WSTTMA
C/E exposed
60% 70% 75%
22% 12% 10%
18% 18% 15%
High Expression
(DLL3+)
MediumExpression
LowExpression
Courtesy of P. Massion
Rovalpituzumab Tesirine(Rova-T™; SC16LD6.5)
0.001 0.01 0.1 1 100.0
0.5
1.0
1.5
2.0
2.5
DLL3DLL1
DLL4
[Ab], (nM)
Ab
so
rb
an
ce
(A
45
0)
Drug-to-Antibody Ratio (DAR) = 2
Cathepsin-B Cleavable Linker
PBD Dimer Toxin
Rubin et al. WLCC 2015
Rova-T: best response in evaluable patients 0.2 mg/kg q3w and 0.3 mg/kg q6w cohorts (n=60)
-60
-40
-20
0
20
40
60
80
Be
st R
esp
on
se
(R
EC
IS
T)
* LCNEC
**
*
*
*
**
ExpressionH-
ScoreSCLC %
High 180+ 69%
Medium 90-180 12%
Low 0-90 19%
Unknown NA
-60
-40
-20
0
20
40
Be
st
Re
sp
on
se
(RE
CIS
T) *
* LCNEC
Topotecan†
All Pts & dose levels
DLL3+Ph 1b
Cohorts
2nd Line 17% 22% 40%
3rd LineNo
Approved Drug
17% 38%
Rubin et al. WLCC 2015
DLL3+ Tumors (N=28)
Topics
• New targets
• Met – Exon 14
• TRK 1
• DLL3 - SCLC
• Important Targets
• EGFR
• ALK, ROS, RET, BRAF
Resistance to EGFR TKIs
Camidge DR et al. Nat Rev Clin Oncol. 2014;11:473–81
T790M: Severe structural changes in ATP-binding pocket
Michalczyk A et al. Bioorg Med Chem. 2008 Apr 1;16(7):3482-8.
Structural changes of the ATP pocket for greater steric hindrance of methionine compared to threonine
Treonina (~116 A) Metionina (~163 A)
T790M Exon 20 substitution
T790M Inhibitors
100
80
60
40
20
0
−20
−40
−60
−80
−100
SL
D c
han
ge f
rom
baseli
ne (
%)
+ Ongoing
500mg BID HBr
625mg BID HBr
750mg BID HBr
500mg 625mg 750mg Total
n 48 114 77 239
ORR (%) 60 54 46 52
DCR (%) 90 84 82 85
Rociletinib - Update Tiger X
Grade ≥3 treatment-related AEs
observed in >10% of patients, n (%)
AE Rociletinib dose
500mg BID
(n=119)
625mg BID
(n=236)
750mg BID
(n=95)
Hyperglycemia 20 (17) 56 (24) 34 (36)
Goldman JW et al. WLCC 2015
Plasma Testing for T790M has Good Sensitivity and Likely Good Specificity
Tissue*
Total
Positive NegativeInadequate
tissue
Plasma*
Positive 155 23 12 190
Negative 37 12 8 57
Total 192 35 20 247
• When inadequate tissue specimens are factored in, plasma testing identifies as many patients as T790M+ as tissue testing
• T790M tissue-plasma+ are not false positives – T790M confirmed in plasma on subsequent testing in 5/7 samples
Tissue as reference:Positive percent agreement
T790M81% (155/192)
Activating mutations87% (193/221)
24
* patients at all doses
L Sequist et al.,ASCO 2015
T790M
Status:
Plasma
−
n 64
ORR,
%45
DCR,
%83
T790M
Status:
Tissue
−
n 37
ORR,
%35
DCR,
%65
625mg BID
500mg BID
Phase 1 (Dose Escalation)Phase 2 Expansion Cohorts
(Required Central Tissue T790M Testing)
Rociletinib Treatment
(free base rociletinib,
followed by 500, 625, 750, and 1000mg
BID HBr)
750mg BID
2nd-line patients
PD upon 1 immediate prior TKI
>2nd-line patients
PD upon ≥2 TKI or chemotherapy
21-day cycles; escalate to MTD
Key outcome measures
• Safety
• Tolerability
• PK profile
• ORR
The most common treatment-related AEs were similar to those found in the general TIGER-X patient population (e.g., hyperglycemia, fatigue, diarrhea, and nausea)
Rociletinib in NSCLC - Negative Central Testing for T790M in TIGER-X
Wakelee H et al. WLCC 2015
AZD 9291 - AURA 2 Trial
Confirmed objective response Total
ORR† 71% (95% CI 64, 77)
Complete response,‡ n (%)
Partial response,‡ n (%)
Stable disease ≥6 weeks,§ n (%)
Progressive disease, n (%)
2 (1)
139 (70)
41 (21)
15 (8)
DCR92%
(95% CI 87, 95)
Best percentage change from baseline in target lesion – all patients
Complete responsePartial responseStable diseaseProgressive diseaseNot evaluable
100
80
60
20
-20
-40
-60
-80
-100
40
0
Mitsudomi et al, WCLC 2015
Discussion: Martin Reck
AZD9291AURA 21
AZD9291AURA 12
RociletenibTIGERX3
EGF8164
Patients 199 201 243 42
Dose 80 mg 80 mg 500-1000 mg (BID)
75-350 mg (QID)
Line oftreatment
1 TKI / > 1 TKI(1-9)
1 TKI / > 1 TKI(1-11)
1 TKI / > 1 TKI 1 TKI / > 1 TKI
RR 71% 61% 53% 60%
DCR 92% 91% 85% 93%
PFS 8.6 m (median)48% (9 m PFS
rate)
72%(6 m PFS rate)
8 m (median)
1 Mitsudomi 16.08., 2 Yang 16.06, 3 Sequist ASCO 2015, abstr. 8001, 4 Tam ASCO 2015, abstr. 8013
AZD9291AURA21
AZD9291AURA 12
RociletenibTIGERX3
Dose 80 mg 80 mg 500 mg BID
ILD 2% 4% (Gr.3 3%) 1.5%
Hyperglycemia 1% 1% 35% (Gr. 3 17%)
QT-Elongation 5% (Gr. 3 2%) 3% (Gr. 3 0%) 13% (Gr. 3 2.5%)
Rash 23% (Gr. 3 0%) 24% (Gr. 3 0%) Nr
Diarrhea 39% (Gr. 3 1%) 46% (Gr. 3 7%) 33% (Gr. 3 nr)
Discontinuation 4% 4% 2.5%
1. Mitsudomi 16.08., 2 Yang 16.06, 3 Sequist ASCO 2015, abstr. 8001, 4 Tam ASCO 2015, abstr. 8013
Discussion: Martin Reck
Rociletinib Resistance
fsDNA Plasma Monitoring
Z Piotrowska et al., Cancer Discovery 2015
Mechanisms of Resistance to AZD9291 in
EGFR T790M Positive Lung Cancer
• 15 (22%) out of 67 patients, had detectable C797S, all with detectable T790M
• C797S was more common with EGFR exon 19 del (13/43, 30%) vs those with L858R (2/24, 8%, p=0.06)
• 32 of 67 (48%) had no detectable T790M in plasma despite presence of the EGFR-TKI-sensitizing mutation, suggesting overgrowth of an alternate resistance mechanism, such as MET or HER2 amplification or BRAF V600E
Thress KS et al. Nature Medicine 2015Oxnard G et al. MINI 17.07
Emergence of HER2 amplification
• 15 cases completed plasma NGS after
resistance to AZD9291 (4 showing C797S)
• One patient treated at 80 mg had an
initial unconfirmed PR (-38%) followed by
new liver metastasis
• Whole genome sequencing of
resistance cfDNA found high level HER2
amplification
Baseli
ne
12
weeks
(PD)
21
weeks
(off tx)
L858R 85% 79% 82%
T790M 42% 0% 1%
EGFR
CNV
6 5 6
ERBB2
CNV
6 11 32
Chromosome 17
log2R
atio
3 Mb region on chromosome
17
log2R
atio
HER2
NEUROD2, PPP1R1B, STARD3, TCAP, PNMT,
PGAP3,
ERBB2, MIR4728, MIEN1, GRB7, IKZF3, ZPBP2
21 weeks
12 weeks (PD)
Baseline
Data source: D. Stetson, A. Markovets, B. Dougherty, Z. Lai, C. Barrett, K. Thress
CNV, copy number variation; PD, progressive disease; PR, partial response; tx, treatmentOral 17.07 – GR Oxnard
32
Long-Hua Guo, Xu-Chao Zhang, Zhi-Hong Chen, Jian Su, Jin-Ji Yang, Chong-Rui Xu, Zhi Xie, Wei-Bang Guo, Hong-Hong Yan, Xue-Ning Yang, Wen-Zhao Zhong, Qiu-Yi Zhang, Yi-Long Wu*, Qing Zhou*
Intratumor Heterogeneity of EGFR Activating
Mutations Analyzed in Single Cancer Cells in
Advanced NSCLC Patients
Guangdong Lung Cancer Institute, Guangdong General Hospital &
Guangdong Academy of Medical Sciences, Guangzhou/China
ORAL 16.07 – Q Zhang
MEK Inhibitors can overcome MAPK pathway
re-activation
TATTON study – ongoing
NCT02143466
EGFR-TKI naïve:
AZD9291 + durvalumab
Dose 2
AZD9291 (qd) + durvalumab (q 2 weeks)
Dose 2 – continuous
AZD9291 (qd) + selumetinib (bid) Asia
Dose 2 – continuous
AZD9291 (qd) + selumetinib (bid) ROW
Dose 2 – intermittent: 4 days on / 3 days off
AZD9291 (qd) + selumetinib (bid) ROW
Dose 2
AZD9291 (qd) + savolitinib (qd)
Acquired resistance to initial EGFR-TKI, cMET negative:
AZD9291 + selumetinib
Acquired resistance to initial EGFR-TKI, cMET positive:
AZD9291 + savolitinib
Dose 2
AZD9291 (qd) + durvalumab (q 4 weeks)
Dose 2
AZD9291 (qd) + durvalumab + tremelimumab (q 4 weeks)
Part A – Dose escalation
(all with acquired resistance to EGFR-TKI)
Part B – Dose expansion
(different lines of treatment)
Acquired resistance to T790M-directed EGFR-TKI, cMET negative:
AZD9291 + selumetinib
Acquired resistance to T790M-directed EGFR-TKI, cMET positive:
AZD9291 + savolitinib
Advance stageNSCLC with
EGFR Mutation
Gefitinib
PDBy RECIST
265 pts
Gefitinib +Alimta/Platinum
Alimta/Platinum
Primary endpoint: PFS
Progression-free survival inT790M mutation-negative patients
Gefitinib/Chemotherapy vs Chemotherapy in EGFR Mutation-
Positive NSCLC Resistant to First-Line Gefitinib: IMPRESS
T790M Subgroup Analysis
1.0
0.9
0.8
0.7
0.6
0.5
0.4
0.2
0.3
0.1
0.0
0 2 8 10 14
Pro
bab
ility
of
PFS
Time of randomization (months)Patients at risk:
Gefitinib 46 43 37 20 16 7 4 0Placebo 59 46 38 17 7 4 3 0
4 6 12
Gefitinib (n=46)Placebo (n=59)
Mok T et al. ORAL 17.08
Gefitinib
(n=46)
Placebo
(n=59)
T790M mutation-
negative (n=105)
Median PFS,
months6.7 5.4
HRa (95% CI) = 0.67 (0.43, 1.03); p=0.07
aPrimary Cox analysis with covariatesA HR <1 implies a lower risk of progression with gefitinib
Discussant: T. Mitsudomi
• Retrospective study of 1,522 NSCLC patients diagnosed between 2007-2014
• EGFR mutations were more common in pts with brain metastases than extracranial
metastases or no metastasis (39% vs. 29% vs. 15%, p<.0001)
• The type of EGFR mutation (exon 19 vs. 21) did not correlate with the presence of
brain metastasis
• Patients with brain metastasis were 1.9 times more likely to have an EGFR
mutation than pts with extracranial metastasis (p=0.0002)
• Studies of prophylactic cranial irradiation in pts with earlier stages of EGFR
mutation positive NSCLC may be warranted
Presentation Number: 3282 – Zack Cheng
Encouraging intracranial tumor shrinkage was observed after AZD3759 treatment in an ongoing phase I trial.
AZD3759 Preclinical and ongoing phase I trial
NCT02228369
Anti-tumor activity
Baseline 6 weeks
Case#13: The patient is a 68 year old male with advanced EGFRm+ NSCLC, immediate prior treatment was pemetrexed. Intracranial tumor reduction of 36% was observed at 6 weeks.
#13
-2
-1
0
1
2
0 10 20 30 40
Lo
g re
la
tiv
e
bio
lu
min
esce
nce
(p
/s)
Study period (day)
Vehicle only
AZD3759 15mg/kg/qd
Erlotinib 15mg/kg/qd
Day0
Erlotinib
15mg/kg/qd
Vehicle
AZD3759
15mg/kg/qd
5 weeks
after treatment
Tumor growth curve in BM model Brain imaging in BM model
Cheng Z et al. WLCC 2015
LUX Lung 7: Randomized IIb Study
Advanced NSCLC
• Adenocarcinoma
• EGFR mut+
• First-line treatment
• PS 0-1
R
A
N
D
O
M
I
Z
E
Afatinib 40mg qd
Gefitinib 250mg qd
1
1
N= 319 patients
Primary endpoint: PFS 13.7 vs 10 months
HR 0.73
Complete
accrual N=319
Aug 16 2013
AZD9291 first-line cohorts by dose
Ramalingam SS et al. MINI 16.07
80 mg
N=30
160 mg
N=30
Total
N=60
Confirmed objective
response rate
67%
(95% CI
47, 83)
83%
(95% CI
65, 94)
75%
(95% CI
62, 85)
Disease control rate
93%
(95% CI,
78, 99)
100%
(95% CI
88, 100)
97%
(95% CI
89, 100)
Best objective
response
Complete response
Partial response
Stable disease
Progressive disease
0
20
8
2
2*
23
5
0
2*
43
13
2
D
DD
D DDDDD
D
D
80 mg
160 mg
D
D
D
1
0
08
07
06
04
02
01
00-
1
0
-
2
0-
4
0-
6
0-
8
0-
1
0
0
5
03
0
-
3
0
DD
Best percentage change in
target lesion size – all
patients
-
9
0
-
7
0
-
5
0
9
0
80 mg
N=30
160 mg
N=30
Total
N=60
Median PFS,‡ months
(95% CI)
NC (12.3, NC)
Maturity: 40%
NC (11.1, NC)
Maturity: 30%
NC (13.7, NC)
Maturity: 35%
Maximum PFS, months 19.2+ 13.8+ 19.2+
Remaining alive and
progression-free,† % (95% CI)
9 months
12 months
83 (64, 93)
75 (55, 87)
80 (60, 90)
69 (48, 82)
81 (69, 89)
72 (58, 82)
1.0
0.9
0.8
0.7
0.5
0.4
0.3
0.2
0.0
Pro
ba
bili
ty o
f re
sp
on
se
1
5
1
2
630Month
0.6
0.1
Number of
patients at risk:
AZD9291 80 mg
30 26 23
9 1
8
AZD9291 160 mg
22 19 12 3
30 29 27160 mg 23 17 0 0
Censored observation
Censored observation
FLAURA Study Design
Randomize patients 1:1
Enrollment by local*
or central# EGFR mutation testing of biopsy sample
Stratified by:
Asian /non-Asian
Ex19del / L858R
RECIST 1.1 assessment
every 6 weeks until objective
progressive disease
Patients randomized to
standard of care may receive
AZD9291 after progression§
Primary objective:
efficacy by PFS
AZD9291(80 mg p.o. qd)
EGFR-TKI standard of care##: gefitinib (250 mg p.o. qd) or
erlotinib (150 mg p.o. qd)
*With central laboratory assessment performed for sensitivity#cobas™ EGFR Mutation Test (Roche Molecular Systems)##Sites to select either gefitinib or erlotinib as the sole comparator prior to site initiation§Patients randomized to the standard of care treatment arm may receive open-label treatment with AZD9291 on central confirmation of
both objective disease progression and T790M positive tumor
OS, overall survival; PFS2, second progression-free survival (time from randomization to second progression); p.o., orally
NCT02296125
Topics
• New targets
• Met – Exon 14
• TRK 1
• DLL3 - SCLC
• Important Targets
• EGFR
• ALK, ROS, RET, BRAF
Next-generation ALK inhibitors
Marsilje, et al. J Med Chem 2013
Crizotinib Ceritinib TAE684
AlectinibBrigatinib ASP3026X-396
New ALK inhibitors should be active against resistance mutations, have proven
CNS activity, improved systemic efficacy and have an acceptable safety profile
Ceritinib in patients with ALK+ NSCLC treated
with prior ALK inhibitors
1. Felip, et al. ESMO 2014; 2. Mok, et al. ASCO 2015
ASCEND-22 Efficacy
(by investigator)
Prior crizotinib
n=140
Median duration of follow-up, months 11.3
ORR, %
[95% CI]
39
[30.5–47.2]
DCR, %
[95 % CI]
77
[69.3–83.8]
Median DoR, months
[95% CI]
9.7
[7.1–11.1]
Median PFS, months
[95% CI]
5.7
[5.4–7.6]
ASCEND-11 Efficacy
(by investigator)
Prior ALK TKI
n=163
Median duration of follow-up, months 11.1
ORR, %
[95% CI]
56
[48.5–64.2]
DCR, %
[95% CI]
74
[NR]
Median DoR, months
[95% CI]
8.3
[6.8–9.7]
Median PFS, months
[95% CI]
6.9
[5.6–8.7]
PD
Dose
escalation
Expansion
phase
Expansion groups
• ALK inhibitor naïve
• ALK inhibitor pre-treated
• Non-NSCLC
Ceritinib 50–75mg/day
• Stage IIIB/IV NSCLC
• ALK+ disease according to FISH test
• ECOG PS 0–2
(n=255)
Ceritinib750mg/day
Ceritinib 750mg BID
PD
• Stage IIIB/IV NSCLC
• ALK+ disease
• Prior crizotinib treatment
• Chemotherapy pretreated
(n=140)
Brigatinib in the crizotinib-failure setting
Gettinger, et al. WCLC 2015
Efficacy (by IRC)
Prior crizotinib
n=70
Median duration of follow-up, months 13.8
ORR, %
[95% CI]
71
[59–82]
DCR, %
[95% CI]
87
[NR]
Median DoR, months
[95% CI]
9.9
[NR]
Median PFS, months
[95% CI]
13.4
[NR]
Other ALK+ or ROS1+ cancers
• Advanced malignancies
• All histologies except leukaemia (phase I)
• Refractory to available therapies or no standard treatment (phase I)
• ECOG PS 0–1
(n=137)
ALK+ NSCLC(ALK inhibitor naïve)
ALK+ NSCLC(crizotinib resistant)
EGFR T790M+ NSCLC(EGFR TKI resistant)
Phase I Phase II
ALK+ NSCLC (CNS mets)(crizotinib-naïve or -resistant)
Brigatinib30–300mg/day
IRC = independent review committee; NR = not reported
Withdrawal/long-term
follow up or treatment
beyond progression
• Locally advanced ormetastatic NSCLC
• ALK+ disease
• Prior crizotinib treatment
• ECOG PS 0–2
Alectinib 600mg BID
(as determined in the dose-
escalation study1)
Investigator decision
Trial designs: NP28761 and NP28673
1. Gadgeel, et al. Lancet Oncol 20142. Shaw, et al. WCLC 2015; 3. Barlesi, et al. ECC 2015
NP28761 (N. America)2
n=87
NP28673 (Global)3
n=138
Primary endpoint(s) ORR by IRC in RE population
ORR by IRC in RE population
and prior chemo subgroup
(co-primary endpoints)
Key secondary
endpointsCNS ORR; CNS DoR CNS ORR; CNS DoR
NP28761 and NP28673: ORR by IRC
Shaw, et al. WCLC 2015; Barlesi, et al. ECC 2015
NP28761n=67
NP28673n=122
Median follow-up, months 9.9 14.5
ORR, %[95% CI]
52 [39.7–64.6]
51[41.6–60.0]
CR 0 0
PR 52 51
SD 27 28
PD 16 18
Missing or unevaluable 5 3
DCR, %[95% CI]
79[67.4–88.1]
79[70.4–85.6]
Median DoR, months[95% CI]
13.5[6.7–NE]
14.1[10.9–NE]
NP28761 and NP28673: PFS (ITT)
Shaw, et al. WCLC 2015; Barlesi, et al. ECC 2015
NP28761 NP28673
1.0
0.8
0.6
0.4
0.2
0
PF
S e
stim
ate
0 3 6 9
Time (months)
12 15 18 21
Median PFS 8.1 months
Alectinib 600mg
(n=138)
Median PFS 8.9 months
Alectinib 600mg BID
(n=87)
1.0
0.8
0.6
0.4
0.2
0
96 123 15 18 210
Time (months)
Summary of data for alectinib, ceritinib and
brigatinib
Shaw, et al. WCLC 2015; Barlesi, et al. ECC 2015; Felip, et al. ESMO 2014
Mok, et al. ASCO 2015; Gettinger, et al. WCLC 2015; Camidge, et al. ECC 2015
Alectinib Ceritinib Brigatinib
NP28761
(N. American)
n=87
NP28673
(Global)
n=138
ASCEND-1
Prior ALKi
n=163
ASCEND-2
(prior
crizotinib)
n=140
Prior
crizotinib
n=71
RE population n=67 n=122 n=163 n=140 n=70
Median follow-up, months 9.9 14.5 11.1 11.3 13.8
ORR, % 52.2 50.8 56.4 38.6 71
Complete response 0.0 0 1.8 2.9 6
Partial response 52.2 50.8 54.6 35.7 66
Stable disease 26.9 27.9 17.8 38.6 16
Progressive disease 16.4 18.0 9.8 13.6 9
Missing or unevaluable 4.5 3.3 16.0 9.3 4*
Disease control rate 79.1 78.7 74.2 77.1 87
Median DoR, months 13.5 14.1 8.3 9.7 9.9
Median PFS, months 8.1 8.9 6.9 5.7 13.4
Alectinib activity in CNS disease
Data cut-off for both studies 27 April 2015 Gadgeel, et al. WCLC 2015
36%
86%
59%
83%
Prior CNS radiation (n=95)
No prior CNS
radiation (n=41)
Perc
enta
ge
Prior radiation (n=34)
No prior radiation (n=16)
70
60
50
40
30
20
10
0
–10
–30
–40
–50
–60
–70
–80
–90
–100
Sum
of
longest dia
mete
r,
max.
decre
ase f
rom
baselin
e (
%)
–20
Patients
Patients with measurable and
non-measurable CNS disease (n=136)
Patients with measurable CNS disease
(n=50)
100
0
20
40
60
80
CNS ORR CNS DCR
CNS activity of second-gen ALK inhibitors
(IRC assessment)
*Pooled data from the two phase II studies**Data for investigator assessment: 45% ORR, 80% DCR§Disappearance of all lesions
Gadgeel, et al. WCLC 2015 Camidge, et al. ECC 2015; Mok, et al. ASCO 2015
Alectinib* Ceritinib** Brigatinib
Measurable
(n=50)
Measurable
(n=33)
Measurable
(n=15)
CNS ORR, % 64 39 53
Complete response§ 22 3 7
Partial response 42 36 47
Stable disease 26 46 33
Progressive disease 6 0 13
CNS DCR, % 90 85 87
Median CNS DoR, months 10.8 – –
Phase 2 study of dabrafenib + trametinib in previously-treated BRAF V600E Mut+ NSCLC
52
• The median duration of response was not reached
Maxim
um
Perc
ent
Reduction a
t T
ime o
f B
est
Dis
ease A
ssessm
ent
20
10
0
-10
-20
-30
-40
-50
-60
-70
-80
-90
-100
Best Confirmed Response PR
SD
PD
a1 patient discontinued at day 23 and did not have any post-baseline scans for efficacy.
D Planchard et al. J Clin Oncol 2015
• Identify the target and provide adequate treatment
• The best treatment first principle!
• The more treatments the longer survival
• Choose the adequate sequence for each patient
and tumor
EGFR TKI + anti-VEGF TKI beyond
progression ?
T790M therapy
BSCPlatin-chemo
Chemo + TKI
EGFR TKI +By –pass Track TKI
Oncogene Addicted Lung Cancer
Some principles !
Re
-bio
psy
Re
-bio
psy
Local
The
rapy
Local
The
rapy
Gracias