Genotype-Driven Lung Cancer Treatment AAAS-FDLI Colloquium on Personalized Medicine October 27, 2009...
-
Upload
avery-reed -
Category
Documents
-
view
218 -
download
2
Transcript of Genotype-Driven Lung Cancer Treatment AAAS-FDLI Colloquium on Personalized Medicine October 27, 2009...
Genotype-Driven Lung Cancer Treatment
AAAS-FDLI Colloquium on Personalized MedicineOctober 27, 2009
William Pao, MD, PhDAssistant Director, Personalized Cancer Medicine
Vanderbilt-Ingram Cancer CenterNashville, TN
Disclosure Information
I have the following financial relationships to disclose:
Patent licensed to MolecularMD for EGFR T790M testing
Consulting for MolecularMD
Day 0
Case Report
• 55 yo Caucasian woman• 9 pk-yr smoking history• s/p RLL and LUL lobectomies for lung adenocarcinoma• 2 years later, recurrence with bilateral pulm nodules• Progression on systemic chemotherapy
Jemal et al ‘09Jemal et al ‘09
Cancer in the United States, 2009
New Cases Deaths
Lung 219,440 Lung 159,390
Breast 192,370 Colorectal 49,920
Prostate 192,280 Breast 40,170
Colorectal 146,970 Prostate 27,360
Adeno
Squam
Large
Small
Lung Cancer Facts– Risk factors
• 10% “never smokers” (<100 cigarettes in a lifetime)• 50% former smokers
– NSCLC has 4 stages• St I-IIIA – potentially curable by surgery• But 60% diagnosed at incurable stages (IIIB/IV)
NSCLC histologies: Adenocarcinoma Squamous cell carcinoma Large cell carcinoma
5-Year Overall Survival (Clinical Stage)
Goldstraw et al ‘07
30 Yrs’ Research: Effect of Standard Chemotherapy in Metastatic NSCLC
Has Reached a Plateau
1207 ptsResponse rate – 19%Median TTP – 3.7 mosMedian OS – 8 mos
Schiller et al ‘02
Gefitinib and Erlotinib –Related Quinazoline EGFR-TKIs
OSI-774ErlotinibTarceva
ATP
ZD1839GefitinibIressa
K K
PI3K
AKT
Survival
Grb-2SOS
RAS
RAF
MEK
MAPK
Proliferation
Ligand
Ligand-bindingdomain
PTEN
mTOR STAT 3/5
Schematic of EGFR Signaling Pathway
Gefitinib & erlotinibblock signaling here
Phase I/II/III Results
• Phase I - gefitinib– Unexpected objective regressions in 10/100 patients with NSCLC
• Phase II - gefitinib– 10/28% RRs in US/Japan for gefitinib – 2003 FDA approval (2nd-
line)
• Phase III – erlotinib vs placebo– 9% vs <1% RR; 6.7 vs. 4.7 mo OS – 2004 FDA approval (2nd-line)
• Mild side effects– acneiform rash and diarrhea
Baselga et al ’02; Herbst et al ’02; Ranson et al ’02; Nakagawa et al ’03; Fukuoka et al ’03;
Kris et al ‘03; Shepherd et al ‘05
Dramatic Response to Gefitinib
Day 0 4 months
Case Report
• 55 yo Caucasian woman• 9 pk-yr smoking history• s/p RLL and LUL lobectomies for lung adenocarcinoma• 2 years later, recurrence with bilateral pulm nodules• Progression on systemic chemotherapy• Response to erlotinib
Who Responds to Gefitinib or Erlotinib (2003)?
• No clear association with EGFR expression • Clinical predictors
– Female – Never smoker– Adenocarcinoma – esp. bronchioloalveolar
subtype – Japanese
(Miller et al JCO ’04; Fukuoka et al JCO ’03)
• Are there molecular predictors of sensitivity?
K DFG L L
Tyrosine kinase
745
K DFG Y Y Y YTM
718 964
EGF ligand binding autophos
GXGXXG
858
LREA
861
Exon: 18 19 20 21 22 23 24
EGFR Mutations Associated with Sensitivity to Gefitinib/Erlotinib
G719A/C L858Rdeletion L861Q
Lynch et al ’04; Paez et al ‘04; Pao et al ‘04
Prospective Trials of EGFR-TKIs in NSCLCStudy Agent RR % PFS* OS*
Patients with EGFR mutant tumors (1st line)
Paz-Ares Erlotinib 31/38 82 13 NR
Morikawa Gefitinib 13/20 65 NR NR
Sunaga Gefitinib 16/21 77 13 NR
Sutani Gefitinib 21/27 77 9 15
Inoue Gefitinib 12/16 75 10 NR
Asahina Gefitinib 12/16 75 9 NR
Sequist Gefitinib 17/26 65 12 21**
Total 122/164 74
Unselected Populations (2nd line)
ISEL Gefitinib 77/959 8 3 6
BR.21 Erlotinib 38/427 9 2 7
*measured in months; **includes 5 atypical mutations; NR – not reached
Rnd Ph III Trial: Iressa Pan ASian Study(IPASS: Gefitinib vs Chemo, upfront)
EGFR mutation positive
EGFR mutation negative
HR (95% CI) = 0.48 (0.36, 0.64)
p<0.0001
No. events gefitinib: 97No. events Chemo: 111
Gefitinib (n=132)Carboplatin / paclitaxel (n=129)
HR (95% CI) = 2.85 (2.05, 3.98) p<0.0001
No. events gefitinib: 88No. events Chemo: 70
132 71 31 11 3 0129 37 7 2 1 0
108103
0 4 8 12 16 20 24
GefitinibC/P
0.0
0.2
0.4
0.6
0.8
1.0
Pro
bab
ilit
y o
f p
rog
ressio
n-f
ree
su
rviv
al
At risk :91 4 2 1 0 085 14 1 0 0 0
2158
0 4 8 12 16 20 240.0
0.2
0.4
0.6
0.8
1.0
Pro
bab
ilit
y o
f p
rog
ressio
n-f
ree
su
rviv
al
Gefitinib (n=91)Carboplatin / paclitaxel (n=85)
Months Months
Gefitinib RR 71% Gefitinib RR 1%
Mok et al ‘09
Are There Molecular Predictors of Resistance to EGFR-TKIs?
• Primary resistance– Tumors that are refractory to treatment with either
gefitinib or erlotinib– The majority of patients– Are these all EGFR wildtype tumors?
K K
PI3K
AKT
Survival
Grb-2SOS
RAS
RAF
MEK
MAPK
Proliferation
Ligand
Ligand-bindingdomain
PTEN
mTOR
1
2
3
4
STAT 3/5
1 = both EGFR and HER2
Mutations in the ERBB Pathway in NSCLC
KRAS Mutations in NSCLC: A Negative Predictor for Response to EGFR TKIs
Retrospective Drug N Responses RR (%)
Pao ’05 G/E 9 0 0
Tsao (BR.21) ’06 E 20 1 5
Fujimoto ’06 G 6 0 0
Van Zandwijk ’06 G 3 0 0
Han ’06 G 9 0 0
Hirsch (ISEL) ’06 G 6 0 0
Massarelli ’07 G/E 16 0 0
Subtotal 69 1 1
Prospective Drug N Responses RR (%)
Miller ’06 E 19 0 0
Giaccone ’06 E 10 0 0
Jackman ‘07 E 6 0 0
Subtotal 35 0 0
Total 104 1 1
Predictors of Response to Gefitinib/Erlotinib
Clinical Predictors
NSCLC 10%
Female 18%
Adenocarcinoma 12%
Never smoker 30%
Molecular Predictors
KRAS mutn <1%
EGFR mutn >70%
How to Select EGFR-TKI Therapy?
ScenarioEGFR
MutationKRAS
MutationTreatment
1 + - Gefitinib or Erlotinib
2 - - Trial of drug?
3 - + Alternative agents
4 + + Likely contamination
• 50% of never smokers with adenoca have EGFR mutations• 19% of former smokers with adenoca have EGFR mutations• 4% of current smokers with adenoca have EGFR mutations• 15% of never smokers have KRAS mutations
Pham et al ‘06
Day 0 4 months 25 months
Case Report
• 55 yo Caucasian woman• 9 pk-yr smoking history• s/p RLL and LUL lobectomies for lung adenocarcinoma• 2 years later, recurrence with bilateral pulm nodules• Progression on systemic chemotherapy• Response to erlotinib• Acquired resistance
Day 0 4 months 25 months
Case Report
Growing bone lesion Growing lung lesion
Drug Contact Residues Are Commonly Affected (T790M, T854A)
Adapted fromYun et al ’07;Bean et al ‘08
92%
4%
4%
T790M without MET
40%
T790M with MET10%
MET alone10%
unknown40%
MET Amplification Occurs in ~20% of Cases, With or Without T790M Mutations
Engelman et al ’07; Bean et al ‘07
Day 0 4 months 25 months
Case Report
Exon 19 del
Erlotinib
T790Mno MET
BIBW2992?
Is this unique?Are there other examples?
EML4
ALK KINASE
KINASE
KINASE
KINASE
KINASE
KINASE
KINASE
KINASE
KINASE
KINASE
2 6 13 14 15 18 20
20
V1
V2
V3a/b
V4
V5a/b
V6
V7
“V4”
“V5”
Fusions Involving the ALK Tyrosine Kinase Define Another Subset of NSCLC
(Soda et al ‘07)
Tumor Size Change
Duration of Response (Weeks)
-100
-80
-60
-40
-20
0
20
40
Green - PR Blue - SD Black - PD
% o
f b
est
chan
ge
fro
m
bas
elin
e
Tumor Size Change
Duration of Response (Weeks)
-100
-80
-60
-40
-20
0
20
40
Green - PR Blue - SD Black - PD
% o
f b
est
chan
ge
fro
m
bas
elin
e
Tumor Responses to PF-02341066 for NSCLC Evaluable Patients with ALK Fusions – Kwak et al
PASCO ‘09
Tumor Responses to PF-02341066 for NSCLC Evaluable Patients with ALK Fusions – Kwak et al
PASCO ‘09
8+8+2020
4040
8+8+ 12122+2+ 13
+13
+ 15+
15+
8+8+
23+
23+
15+
15+
2+2+
1616
8+8+
4+4+
One patient had clinical progression and discontinued without radiographic confirmation.
Adeno
Squam
Large
Small
Traditional View of Lung Cancer
Small Cell Lung Cancer (SCLC)
Non-Small Cell Lung Cancer (NSCLC):AdenocarcinomaSquamous cell carcinomaLarge cell carcinoma
Adeno
Squam
Large
Small
KRAS
Unknown
1987: KRAS Mutations in Lung Adenoca
Adeno
Squam
Large
Small
KRAS
Unknown
EGFR
2004: EGFR Mutations Identified
Adeno
Squam
Large
Small
KRAS
Unknown
EGFRHER2
BRAF
ALK fusionPIK3CA
MEK1
ROS fusionPDGFR amp
2009: Lung Adenoca-Multiple Molecular Subsets
KRAS
Unknown
EGFRHER2
BRAF
ALK fusionPIK3CA
MEK1
ROS fusionPDGFR amp
• Mutations associated with drug sensitivityG719X, exon 19 del, L858R, L861Q
• Mutations associated with 1ry drug resistanceexon 20 dup
• Mutations associated with 2ry drug resistanceL747S, D761Y, T854A, T790MMET amplification
2009: Lung Adenoca-Multiple Molecular Subsets
Molecularly Tailored Therapy
Mutation Prediction
EGFR exon 19 del/L858R Sens to EGFR TKIs
KRAS Res to EGFR TKIs
EGFR T790M/D761Y/T854A Res to EGFR TKIs; sens to new TKIs?
MET amplification Sens to MET TKIs
MEK1 Sens to MEK inhibitors
HER2 Sens to HER2 TKIs
BRAF Sens to BRAF inhibitors
ALK fusions Sens to ALK inhibitors
PDGFR amplification Sens to PDGFR inhibitors
PIK3CA PIK3CA inhibitors?
ROS fusion Sens to ROS inhibitors?
Position AA mutant Nucleotide mutant
G719p.G719C c.2155G>Tp.G719S c.2155G>Ap.G719A c.2156G>C
T790 p.T790M c.2369C>TL858 p.L858R c.2573T>GL861 p.L861Q c.2582T>A
EGFR
G12
p.G12C c.34G>Tp.G12S c.34G>Ap.G12R c.34G>Cp.G12V c.35G>Tp.G12A c.35G>Cp.G12D c.35G>A
G13
p.G13C c.37G>Tp.G13S c.37G>AP.G13R c.37G>Cp.G13D c.38G>Ap.G13A c.38G>C
Q61
p.Q61K c.181C>Ap.Q61R c.182A>Gp.Q61L c.182A>Tp.Q61H c.183A>Tp.Q61H c.183A>C
KRAS
NRAS
Q61p.Q61K c.181C>A p.Q61L c.182A>T p.Q61R c.182A>G
H1047 p.H1047R c.3140A>G E542 p.E542K c.1624G>A E545 p.E545K c.1633G>A
PIK3CA
Q56 p.Q56N c.167A>CK57 p.K57N c.171G>TD67 p.D67N c.199G>A
MEK1 (MAP2K1)
E17 p.E17K c.49G>A
AKT1
R233 p.R233* c.697C>T
PTEN
Position AA mutant Nucleotide mutant
G469 p.G469A c.1406G>C L597 p.L597V c.1789C>G V600 p.V600E c.1799T>A
BRAF
Version 1 SNaPShot: 36 Somatic Point Mutations in 8 Genes Relevant to Targeted Therapy
in Lung Adenocarcinoma
+ PCR-based sizing assays for EGFR ex 19 dels, EGFR ex 20 ins’s, HER2 20 ins’s+ ALK assessment
Potential Benefits of Tailoring Therapy According to the Genetic Makeup of Tumors
• Reduced healthcare costs
Standard Approach:2 cycles carbo/paclitaxel/bevacizumab $29,170(wait 6 weeks to determine response)
followed by2 cycles of pemetrexed $21,868(wait 6 weeks to determine response)
Total: $51,038
Molecularly Tailored Approach:Multiplex mutation test $2,000(>70% chance of response if known EGFR mutation)
Erlotinib (90d) $13,671Total: $17,671
Day 0
Successes/Limitations
Successes
• Molecular subsets of NSCLC defined
• Greater likelihood of expected outcomes
• Can prioritize treatment regimens– Will be necessary as more agents
become available
• Can rationally develop trials
• Cost savings
Limitations• Some small molecular subsets (~1%
= 2,100 pts)• Diagnostic molecular assays labor-
intensive• May take 2-3 weeks to get result• Different mutns assessed by different
technologies– Translocations/ Pt
mutns/insertions/deletions
• RR/PFS vs OS• Practicing oncologists not familiar
with various tests
Acknowledgements
• Pao Lab– MarKeesa Duke– Laurel Fohn– Katie Hutchinson– Zengliu Su– Paula Woods
• VICC– Jennifer Pientepol
• Pathology– Cheryl Coffin– Cindy Vnencak-Jones
• Medicine– David Johnson– Jeff Sosman
• Bioinformatics– Dan Masys– Mia Levy– Russ Waitman
• MGH– A. John Iafrate
• Funding– Anonymous Foundation– VICC CCSG– TJ Martell Foundation