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Role of the mTOR Pathway in Endocrine Therapy-
Resistant Breast Cancer
Ana M. GonzalezAna M. Gonzalez--Angulo, M.D.Angulo, M.D.Associate ProfessorAssociate Professor
Breast Medical OncologyBreast Medical OncologySystems BiologySystems Biology
Sao Paulo, Brazil, 3/2012Sao Paulo, Brazil, 3/2012
PI3K PI3K pathwaypathway
Meric-Bernstam and Gonzalez-Angulo, J Clin Oncol 2009
adaptoradaptoradaptoradaptor
RasRas
PIP2PIP2
PIP3PIP3
RTKRTK
RacRacRacRac
TuberinTuberinTuberinTuberin
IKKIKKIKKIKK
eNOSeNOSeNOSeNOS
PTENPTENPTENPTEN
NF NF κκκκκκκκBBNF NF κκκκκκκκBB
p53p53p53p53 Mdm2Mdm2
p85p85p85p85
p110p110
PDK1PDK1AKTAKT
PI3K pathwayPI3K pathway
Cell SurvivalCell SurvivalCell SurvivalCell Survival Cell CycleCell CycleCell CycleCell Cycle Cell GrowthCell GrowthProtein SynthesisProtein Synthesis
Cell GrowthCell GrowthProtein SynthesisProtein Synthesis
p27p27 KIP1KIP1
Ribosomal S6Ribosomal S6Ribosomal S6Ribosomal S6MycMyc
Cyclin D1Cyclin D1FasFas--ligandligandFasFas--ligandligand
p130p130 Rb2Rb2p130p130 Rb2Rb2
TuberinTuberinTuberinTuberin
HamartinHamartinHamartinHamartin
GSKGSK--33GSKGSK--33ForkheadForkheadForkheadForkhead
BimBimBimBim
BclBcl--XLXLBclBcl--XLXL
BadBadBadBad
mTORmTORmTORmTOR
S6K1S6K1S6K1S6K1
RhebRhebRhebRheb
4E4E--BP1BP14E4E--BP1BP1
1414--33--331414--33--33
PI3K PI3K pathway: metabolismpathway: metabolism
Gonzalez-Angulo and Meric-Bernstam, Clin cancer Res 2009
PI3K PI3K pathway: angiogenesispathway: angiogenesis
Stoeltzing, Meric-Bernstam, Ellis, Cancer Cell 2006
PI3K Pathway: genetic target in PI3K Pathway: genetic target in breast Cancerbreast Cancer
HER2HER2
PI3KPI3K
LKB1LKB1PTENPTEN
RASRAS
Growth Growth FactorsFactors
GeneGene % Mutation% Mutation % Amp/Del% Amp/Del
HER2HER2 22 2525INPP4BINPP4B
AKTAKT
TSCTSC1/21/2
mTORmTOR
S6KS6K
Tumor suppressor geneTumor suppressor geneOncogeneOncogene
AMPKAMPK
HER2HER2 22 2525
PIK3CAPIK3CA 2525 1616
KRASKRAS 44
PTENPTEN 44 88
INPP4BINPP4B 55 (TN)55 (TN)
AKT1AKT1 33
Modified from W. Sellers at SABCS 2009Onc*Base and Beroukhim et al, Nature 2010
PI3K pathway: distinct cancer statesPI3K pathway: distinct cancer statesAre there distinctive dependences?Are there distinctive dependences?
Modified from W. Sellers at AACR 2011
PIK3CA mutationsPIK3CA mutations
HER2HER2
PI3KPI3K
PTENPTEN
Growth Growth FactorsFactors
RASRAS
PDK1PDK1
PIK3CA MutationsPIK3CA MutationsDO NOT invariable activate AKTDO NOT invariable activate AKTDO NOT invariable require AKTDO NOT invariable require AKTDO require PIK3C alphaDO require PIK3C alpha
mTORmTOR
S6KS6K
AKTAKT
TSC1/2TSC1/2
PDK1PDK1
Vasudevan et al, Cancer Cell 2009Wee et al, PNAS 2008Modified from W. Sellers at SABCS 2009
PTEN lossPTEN loss
HER2HER2
PI3KPI3K
PTENPTEN
Growth Growth FactorsFactors
RASRAS
PDK1PDK1
PTEN loss leads toPTEN loss leads toConstitutive AKT activationConstitutive AKT activationAKT dependence (AKT1)AKT dependence (AKT1)PIK3C Beta dependencePIK3C Beta dependence
mTORmTOR
S6KS6K
AKTAKT
TSC1/2TSC1/2
PDK1PDK1
Vasudevan et al, Cancer cell 2009Nakamura et al, MCB 2000Jia et al, Nature 2008Modified from W. Sellers at SABCS 2009
RTK activationRTK activationLeads to PIK3C Alpha dependenceLeads to PIK3C Alpha dependence
RTK activationRTK activation
If HER2 signaling depends on If HER2 signaling depends on alpha, why PTEN loss creates alpha, why PTEN loss creates trastuzumabtrastuzumab resistance?resistance?
PTEN loss can convert alpha to PTEN loss can convert alpha to beta dependencebeta dependence
Zhao et al, PNAS 2008Jia et al, Nature 2008Wee et al PNAS 2008Modified from W. Sellers at SABCS 2009
Resistance to endocrine therapy in ER+ breast Resistance to endocrine therapy in ER+ breast cancer is dependent upon PI3K signalingcancer is dependent upon PI3K signaling
LTED cells exhibit LTED cells exhibit increased PI3K/increased PI3K/mTORmTORpathway activationpathway activation
PI3K pathway inhibition suppresses PI3K pathway inhibition suppresses LTED cell growth, and prevents LTED cell growth, and prevents the emergence of hormonethe emergence of hormone--independent cellsindependent cells
Miller et al, J Clin Invest 2010
Resistance to endocrine therapy in ER+ breast Resistance to endocrine therapy in ER+ breast cancer is dependent upon PI3K signalingcancer is dependent upon PI3K signaling
Miller et al, J Clin Invest 2010
Frequency of mutations in the Frequency of mutations in the PIK3CA, PIK3CA, and and AKT1AKT1genes in 547 human breast cancers and 41 breast genes in 547 human breast cancers and 41 breast
cancer cell linescancer cell lines
Tumor subtypeTumor subtype MutationMutation
PIK3CAPIK3CA catalytic catalytic domain*domain*
PIK3CAPIK3CA other other †† PIK3CAPIK3CA totaltotal AKT1AKT1 E17KE17K
All human breast tumorsAll human breast tumors 73/547 (13.3%)73/547 (13.3%) 44/547 (8.0%)44/547 (8.0%) 117/547 (21.4%)117/547 (21.4%) 6/418 (1.4%)6/418 (1.4%)
Human breast HRHuman breast HR++ 48/232 (20.7%)48/232 (20.7%) 32/232 (13.8%)32/232 (13.8%) 80/232 (34.5%)80/232 (34.5%) 6/232 (2.6%)6/232 (2.6%)
ER+PR+ER+PR+ 39/186 (21%)39/186 (21%) 22/186 (11.8%)22/186 (11.8%) 61/186 (32.8%)61/186 (32.8%) 6/186 (3.2%)6/186 (3.2%)
ER+PRER+PR-- 9/41 (22%)9/41 (22%) 10/41 (24.4%)10/41 (24.4%) 19/41 (46.3%)19/41 (46.3%) 0/41 (0%)0/41 (0%)
Stemke-Hale, Gonzalez-Angulo et al, Cancer Res 2008
ER+PRER+PR-- 9/41 (22%)9/41 (22%) 10/41 (24.4%)10/41 (24.4%) 19/41 (46.3%)19/41 (46.3%) 0/41 (0%)0/41 (0%)
ERER--PR+PR+ 0/5 (0%)0/5 (0%) 0/5 (0%)0/5 (0%) 0/5 (0%)0/5 (0%) 0/5 (0%)0/5 (0%)
Human breast HER2Human breast HER2++ 13/75 (17.3%)13/75 (17.3%) 4/75 (5.3%)4/75 (5.3%) 17/75 (22.7%)17/75 (22.7%) 0/75 (0%)0/75 (0%)
Human breast TNHuman breast TN 12/240 (5.0%)12/240 (5.0%) 8/240 (3.3%)8/240 (3.3%) 20/240 (8.3%)20/240 (8.3%) 0/111 (0%)0/111 (0%)
All breast cancer cell linesAll breast cancer cell lines 7/41 (17.1%)7/41 (17.1%) 9/41 (22%)9/41 (22%) 16/41 (39%)16/41 (39%) 0/41 (0%)0/41 (0%)
Breast cancer cell lines HR+Breast cancer cell lines HR+ 1/12 (8.3%)1/12 (8.3%) 3/12 (25%)3/12 (25%) 4/12 (33.3%)4/12 (33.3%) 0/12 (0%)0/12 (0%)
Breast cancer cell lines HER2+Breast cancer cell lines HER2+ 2/10 (20%)2/10 (20%) 4/10 (40%)4/10 (40%) 6/10 (60%)6/10 (60%) 0/10 (0%)0/10 (0%)
Breast cancer cell lines Breast cancer cell lines TNTN 4/19 (21%)4/19 (21%) 2/19 (10.5%)2/19 (10.5%) 6/19 (31.6%)6/19 (31.6%) 0/19 (0%)0/19 (0%)
mTOR
PI3K pathway activationPI3K pathway activation
Courtesy of S. Johnston
TamTamTemsirolimusTemsirolimusControlControl
WTWTMCFMCF--77
Tam + TemsirolimusTam + Temsirolimus
TemsirolimusTemsirolimus Reverses TAM resistance in Reverses TAM resistance in AktAkt--Expressing Breast Cancer by Restoration of Expressing Breast Cancer by Restoration of
Apoptotic ResponseApoptotic Response
MyrAkt1MyrAkt1MCF7MCF7
MCFMCF--77
De Graffenried et al, Clin Cancer Res 2004
TamTamTemsirolimusTemsirolimusControlControl
WTWTMCFMCF--77
Tam + TemsirolimusTam + Temsirolimus
TemsirolimusTemsirolimus Reverses TAM resistance in Reverses TAM resistance in AktAkt--Expressing Breast Cancer by Restoration of Expressing Breast Cancer by Restoration of
Apoptotic ResponseApoptotic Response
MyrAkt1MyrAkt1MCF7MCF7
MCFMCF--77
De Graffenried et al, Clin Cancer Res 2004
RAD001 Added to Letrozole Causes RAD001 Added to Letrozole Causes GI Accumulation and Increased ApoptosisGI Accumulation and Increased Apoptosis
1515
2020
2525
Apo
ptot
ic c
ells
(%)
Apo
ptot
ic c
ells
(%)
Vehicle 1Vehicle 1
Vehicle 2Vehicle 20.2 0.2 nMnMRAD001RAD001
2 2 nMnMRAD001RAD001
54%54%
53%53%60%60%
p p < 0.05 (Friedman test)< 0.05 (Friedman test)
MCF7 cells overexpressingMCF7 cells overexpressingaromatase enzymearomatase enzyme
00
55
1010
00 22 00 22 00 22Apo
ptot
ic c
ells
(%)
Apo
ptot
ic c
ells
(%)
RAD001RAD001
100nM 100nM LetLet
500nM 500nM LetLet
Adapted from S. JohnstonBoulay et al. Clin Cancer Res 2005
60%60%
66%66%
73%73%
100 nM Let100 nM Let
MCF7 Cells overexpressingMCF7 Cells overexpressingaromatase enzymearomatase enzyme
Randomised Phase II study of Randomised Phase II study of LetrozoleLetrozole ±± TemsirolimusTemsirolimus in MBCin MBC
1.0
0.9
Probability of Progression-Free Survival
0.5
0.6
0.7
0.8
RRRR CBRCBRLL 45%45% 69%69%L+10TL+10T 33%33% 57%57%L+30TL+30T 40%40% 80%80%
Probability of Progression-Free Survival
0.0
0.1
0.2
0.3
0.4
0.5
0 2 4 6 8 10 12 14 16 18 20
Months to Progressive Disease/Death
10 mg TEMSR + 2.5 mg LET, daily schedule
30 mg TEMSR + 2.5 mg LET, intermittent schedule
2.5 mg LET alone, daily schedule
Baselga et al, SABCS 2005
Phase III Study of Letrozole Phase III Study of Letrozole ±±TemsirolimusTemsirolimus in ER+ MBCin ER+ MBC
0.70.7
0.60.6
0.80.8
0.90.9
1.01.0
--fr
ee s
urviva
lfr
ee s
urviva
l
Median PFS (mo)Median PFS (mo) 9.29.2 9.29.2
LetrozoleLetrozole
(n=489)(n=489)
Letrozole +Letrozole +TemsirolimusTemsirolimus
(n=493)(n=493)
HR (95% CI) = HR (95% CI) = 0.920.92 (0.75, 1.13)(0.75, 1.13)
Chow et al. SABCS 2006, abstract 6091
00 22 44 66 88 1010 1212 1414 1616 1818
Time (months)Time (months)
0.60.6
0.50.5
0.20.2
0.10.1
00
0.40.4
0.30.3
Prog
ress
ion
Prog
ress
ion--
�������� No specific patient selection!No specific patient selection!
RAD001 RAD001 iincreasesncreases tumor tumor pp--AktAkt in in patientspatients
--th
erap
yth
erap
y
daily continuous oral dose daily continuous oral dose weekly oral dose weekly oral dose
PhasePhase I I pharmacodynamicpharmacodynamic studystudy
Tabernero et al. J Clin Oncol. 2008
pre
pre--
onon--th
erap
yth
erap
y
5mg/day5mg/day 10mg/day10mg/day 20mg/week20mg/week 50mg/week50mg/week
Akt
PTEN
PIP2 PIP3
TSC1TSC2
PI3K PDK1IRS1
IGF1RFeedback loopFeedback loop
Rheb GDP
mTOR mTORraptorrictor
4EBP1
Rheb GTP
S6K
S6
Ki67Proliferation
eIF4E-F-G
Courtesy of S. Johnston
Akt
PTEN
PIP2 PIP3
TSC1TSC2
PI3K PDK1
IGF1R
IRS1
Feedback loopFeedback loop
Rheb GDP
mTOR mTORraptorrictor
4EBP1
Rheb GTP
S6K
S6
Ki67Proliferation
eIF4E-F-G
everolimus
Courtesy of S. Johnston
•• Newly diagnosed, untreated patients with ERNewly diagnosed, untreated patients with ER++ localized breast localized breast cancer likely to benefit from hormonal therapycancer likely to benefit from hormonal therapy
•• Palpable tumor: Palpable tumor: > 2 cm diameter> 2 cm diameter
RRAANN Letrozole 2.5 mg/dLetrozole 2.5 mg/d
RAD001 10 mg/dRAD001 10 mg/d
N = 138N = 138SSCC
Phase II Phase II neoadjuvantneoadjuvant everolimuseverolimus(RAD001) breast cancer study(RAD001) breast cancer study
Tumor samples Tumor samples (surgery)(surgery)
NNDDOOMMIIZZEE
Letrozole 2.5 mg/dLetrozole 2.5 mg/dRAD001 10 mg/dRAD001 10 mg/d
Letrozole 2.5 mg/dLetrozole 2.5 mg/dPlaceboPlacebo
16 weeks16 weeks
SurgerySurgery
Tumor biopsiesTumor biopsies(pretreatment)(pretreatment)
Tumor biopsies Tumor biopsies (day 15)(day 15)
SSCCRREEEENN
N = 132N = 132
Baselga et al. J Clin Oncol 2009
Results: efficacy summaryResults: efficacy summary
Everolimus +Everolimus +LetrozoleLetrozolen = 138n = 138
Placebo +Placebo +LetrozoleLetrozolen = 132n = 132 PP
Overall Response (CR + PR), %Overall Response (CR + PR), %
n = 138n = 138 n = 132n = 132 PPPalpationPalpation(primary end point)(primary end point) 68.168.1 59.159.1 .062*.062*
UltrasoundUltrasound 58.058.0 47.047.0 .035*.035*
*1*1--sided chisided chi--square level of significance is 10%.square level of significance is 10%.
Baselga et al. J Clin Oncol 2009
Results:Results:Major Major pharmacodynamicpharmacodynamic changes at day 15changes at day 15
--2020
00
2020
4040
Chang
e in
H S
core
(% P
ositive f
or K
i67)
Chang
e in
H S
core
(% P
ositive f
or K
i67)
CyclinD1CyclinD1 pS6pS6235235PRPR Ki67Ki67 pS6pS6240240ERER
pAktpAkt
Reduction in pS6240 and pS6235 reveals everolimusReduction in pS6240 and pS6235 reveals everolimus--treated patientstreated patients
--140140
--120120
--100100
--8080
--6060
--4040
--2020
Chang
e in
H S
core
(% P
ositive f
or K
i67)
Chang
e in
H S
core
(% P
ositive f
or K
i67)
Everolimus + letrozoleEverolimus + letrozole
LetrozoleLetrozole
Baselga et al. J Clin Oncol 2009
Cell cycle response (KiCell cycle response (Ki--67) correlates with clinical 67) correlates with clinical response: role of PIK3CA mutationsresponse: role of PIK3CA mutations
Reduction in KiReduction in Ki--67 at Day 15 67 at Day 15
Patients with PIK3CA Patients with PIK3CA exonexon 9 9 mutmutless responsive to less responsive to letrozoleletrozole as as sensitive to sensitive to everolimuseverolimus + + letrozoleletrozole
00
PIK3CA e9PIK3CA e9mutant onlymutant only
PIK3CA e20PIK3CA e20mutant onlymutant only
PIK3CA PIK3CA wt onlywt only
6060
8080
Day 15 Day 15 KiKi--67 score correlated 67 score correlated with clinical responsewith clinical response
--120120
--100100
--8080
--6060
--4040
--2020
EEverolimusverolimus + + letrozoleletrozoleLetrozoleLetrozole
Ki6
7d15
Ki6
7d15
CRCR PRPR NCNC PD PD
00
2020
4040
6060
Baselga et al. J Clin Oncol 2009
TAMRAD SchemaTAMRAD SchemaRandomized Phase IIRandomized Phase IIMetastatic patients with prior exposure to AIMetastatic patients with prior exposure to AI
A : Tamoxifen, 20 mg/d (TAM)A : Tamoxifen, 20 mg/d (TAM)
•• Stratification: Primary or secondary hormone resistanceStratification: Primary or secondary hormone resistance•• Primary: Relapse during adjuvant AI; progression within 6 Primary: Relapse during adjuvant AI; progression within 6
months of starting AI treatment in metastatic settingmonths of starting AI treatment in metastatic setting•• Secondary: Late relapse (≥ 6 months) or prior response Secondary: Late relapse (≥ 6 months) or prior response
and subsequent progression to metastatic AI treatmentand subsequent progression to metastatic AI treatment•• No crossover plannedNo crossover planned
B : Tamoxifen 20 mg/d + RAD001 10 mg/d (TAM + RAD) B : Tamoxifen 20 mg/d + RAD001 10 mg/d (TAM + RAD)
Bachelot M, et al SABCS 2010
Time to ProgressionTime to Progression
Hazard Ratio (HR) = 0.53; 95% CI (0.35Hazard Ratio (HR) = 0.53; 95% CI (0.35--0.81)0.81)Exploratory logExploratory log--rank: rank: P = P = 0.00260.0026
TAM: 4.5 mo.TAM: 4.5 mo.TAM + RAD: 8.6 mo. TAM + RAD: 8.6 mo.
0.50.5
0.60.6
0.70.7
0.80.8
0.90.9
1.01.0Pr
obab
ility
of
Sur
viva
lPr
obab
ility
of
Sur
viva
l TAM TAM
TAM + RAD TAM + RAD
MonthMonth
0.00.0
0.10.1
0.20.2
0.30.3
0.40.4
0.50.5
00 22 44 66 88 1010 1212 1414 1616 1818 2020 2222 2424 2626 2828
Prob
ability
of
Sur
viva
lPr
obab
ility
of
Sur
viva
l
Patients at riskPatients at riskTAM + RAD: n = TAM + RAD: n =
TAM : n = TAM : n = 54545757
45454444
39393030
34342424
28282222
25251313
19191111
121266
7711
1100
0000
26261616
161677
9922
1100
Bachelot M, et al SABCS 2010
Time to Progression as a Function Time to Progression as a Function of Intrinsic Hormone Resistanceof Intrinsic Hormone Resistance
•• PrimaryPrimary hormone hormone resistance (n = 54)resistance (n = 54)
–– TAM: 3.9 mo.TAM: 3.9 mo.
–– TAM + RAD: 5.4 mo.TAM + RAD: 5.4 mo.
–– HR = 0.74 (0.42HR = 0.74 (0.42--1.3)1.3)
TAM TAM
TAM + RAD TAM + RAD
0.00.00.10.10.20.20.30.30.40.40.50.50.60.60.70.70.80.80.90.91.01.0
Prob
ability
of
Sur
viva
lPr
obability
of
Sur
viva
l
–– HR = 0.74 (0.42HR = 0.74 (0.42--1.3)1.3)
•• Secondary hormone Secondary hormone resistance (n = 56)resistance (n = 56)
–– TAM: 5.0 mo.TAM: 5.0 mo.
–– TAM + RAD: 17.4 mo. TAM + RAD: 17.4 mo.
–– HR = HR = 0.38 (0.210.38 (0.21--0.71) 0.71)
0.00.000 66 1212 1818 2424 3030
Prob
ability
of
Sur
viva
lPr
obability
of
Sur
viva
lPr
obability
of
Sur
viva
lPr
obability
of
Sur
viva
l
MonthsMonths
0.00.00.10.10.20.20.30.30.40.40.50.50.60.60.70.70.80.80.90.91.01.0
MonthsMonths
00 66 1212 1818 2424 3030
Bachelot M, et al SABCS 2010
Adverse EventsAdverse Events
Incidence, n (%)TAM
n = 57TAM + RAD
n = 54
Grade Any 3/4 Any 3/4
Most Common Adverse Events (AE)FatigueFatigueStomatitisStomatitisRashRashAnorexiaAnorexia
30 (52.6)4 (7.0)3 (5.3)
10 (17.5)
6 (10.5)0
1 (1.8)2 (3.5)
40 (74.1)40 (74.1)28 (51.9)28 (51.9)21 (38.9)21 (38.9)24 (44.4)24 (44.4)
3 (5.6)6 (11.1)3 (5.6)5 (9.3)AnorexiaAnorexia
DiarrheaDiarrheaNauseaVomitingPneumonitisThromboembolicPain
10 (17.5)5 (8.8)
19 (33.3)7 (12.3)2 (3.5)4 (7.0)
48 (84.2)
2 (3.5)00
2 (3.5)2 (3.5)4 (7.0)
11 (19.3)
24 (44.4)24 (44.4)21 (38.9)21 (38.9)18 (33.3)9 (16.7)9 (16.7)7 (13.0)42 (77.8)
5 (9.3)1 (1.9)2 (3.7)
01 (1.9)3 (5.6)5 (9.3)
Dose reduction due to AEDose reduction due to AE 0 (0)0 (0) 15 (28) 15 (28)
Treatment discontinuation due to AETreatment discontinuation due to AE 4 (7.0)4 (7.0) 3 (5.6)3 (5.6)
Bachelot et al SABCS 2010
2 2
11
Everolimus 10 mg/day +Everolimus 10 mg/day +Exemestane 25 mg/day Exemestane 25 mg/day
(N = 485)(N = 485)
Placebo +Placebo +Exemestane 25 mg/day Exemestane 25 mg/day
BOLEROBOLERO--2 Schema2 Schema
N = 724 N = 724
Postmenopausal Postmenopausal ER+ HER2ER+ HER2-- ABC ABC refractory to refractory to letrozoleletrozole or or
PFSPFS
OSOSORRORR
Bone MarkersBone MarkersSafetySafetyExemestane 25 mg/day Exemestane 25 mg/day
(N = 239)(N = 239)
�� Stratification:Stratification:
1.1. Sensitivity to prior hormonal therapySensitivity to prior hormonal therapy
2.2. Presence of visceral disease Presence of visceral disease
�� No crossNo cross--overover
letrozoleletrozole or or anastrozoleanastrozole
Bone MarkersBone MarkersSafetySafety
PKPK
Baselga et al. N Engl J Med 2012
BOLEROBOLERO--2 Primary Endpoint: PFS 2 Primary Endpoint: PFS Local AssessmentLocal Assessment
8080
6060
100100
Prob
ability
of
Eve
nt (%)
Prob
ability
of
Eve
nt (%)
HR = 0.43 (95% CI: 0.35HR = 0.43 (95% CI: 0.35––0.54)0.54)
EVE + EXE: 6.9 monthsEVE + EXE: 6.9 months
PBO + EXE: 2.8 monthsPBO + EXE: 2.8 months
Log rank Log rank PP value = 1.4 x 10 value = 1.4 x 10 --1515
EverolimusEverolimus 485485 398398 294294 212212 144144 108108 7575 5151 3434 1818 88 33 33 00PlaceboPlacebo 239239 177177 109109 7070 3636 2626 1616 1414 99 44 33 11 00 00
Time (weeks)Time (weeks)
00 121266 1818 2424 3030 3636 4848 60604242 5454 72726666 7878
4040
2020
00
Prob
ability
of
Eve
nt (%)
Prob
ability
of
Eve
nt (%)
Everolimus + Exemestane (E/N=202/485)Everolimus + Exemestane (E/N=202/485)Placebo + Exemestane (E/N=157/239)Placebo + Exemestane (E/N=157/239)
Baselga et al. N Engl J Med 2012
BOLEROBOLERO--2 Primary Endpoint: PFS 2 Primary Endpoint: PFS Central AssessmentCentral Assessment
HR = 0.36 (95% CI: 0.27HR = 0.36 (95% CI: 0.27––0.47)0.47)
EVE + EXE: 10.6 MonthsEVE + EXE: 10.6 Months
PBO + EXE: 4.1 MonthsPBO + EXE: 4.1 Months
Log rank Log rank PP value = 3.3 x 10 value = 3.3 x 10 --1515
8080
6060
100100
Prob
ability
of
Eve
nt (%)
Prob
ability
of
Eve
nt (%)
Time (weeks)Time (weeks)
00 121266 1818 2424 3030 3636 4848 60604242 5454 72726666 7878
4040
2020
00
Prob
ability
of
Eve
nt (%)
Prob
ability
of
Eve
nt (%)
Everolimus + Exemestane (E/N=114/485)Everolimus + Exemestane (E/N=114/485)Placebo + Placebo + ExemestaneExemestane (E/N=104/239)(E/N=104/239)
EverolimusEverolimus 485485 385385 281281 201201 132132 102102 6767 4343 2828 1818 99 33 22 00PlaceboPlacebo 239239 168168 9494 5555 3333 2020 1111 1111 66 33 33 11 00 00
Baselga et al. N Engl J Med 2012
BOLEROBOLERO--2: Most Common G3/4 AEs2: Most Common G3/4 AEs
Everolimus + Everolimus + Exemestane Exemestane
(N = 482), %(N = 482), %Placebo + Exemestane Placebo + Exemestane
(N = 238), %(N = 238), %
All All GradesGrades
Grade Grade 33
Grade Grade 44
All All GradesGrades Grade 3Grade 3 Grade 4Grade 4
StomatitisStomatitis 5656 88 00 1111 11 00
FatigueFatigue 3333 33 <1<1 2626 11 00FatigueFatigue 3333 33 <1<1 2626 11 00
DyspneaDyspnea 1818 44 00 99 11 <1<1
AnemiaAnemia 1616 55 <1<1 44 <1<1 <1<1
HyperglycemiaHyperglycemia 1313 44 <1<1 22 <1<1 00
ASTAST 1313 33 <1<1 66 11 00
PneumonitisPneumonitis 1212 33 00 00 00 00
Baselga et al. N Engl J Med 2012
BOLEROBOLERO--2 PFS in Subgroups2 PFS in Subgroups
<65 (449)<65 (449)≥65 (275)≥65 (275)
YES (610)YES (610)NO (114)NO (114)
YES (406)YES (406)NO (318)NO (318)
0 (435)0 (435)
All (724)All (724)AgeAge
Hormonal sensitivityHormonal sensitivity
Visceral metastasisVisceral metastasis
Baseline ECOG PSBaseline ECOG PS
Subgroups (N)Subgroups (N)
Favors Placebo + Favors Placebo + ExemestaneExemestane
Favors Everolimus Favors Everolimus + Exemestane+ Exemestane
0 (435)0 (435)1, 2 (274)1, 2 (274)
YES (493)YES (493)NO (231)NO (231)
1 (118)1 (118)2 (217)2 (217)≥3 (389)≥3 (389)
YES (398)YES (398)NO (326)NO (326)
YES (523)YES (523)NO (184)NO (184)
0.00.0 0.20.2 0.40.4 0.60.6 0.80.8 1.01.0 1.21.2
Hazard RatioHazard Ratio
Prior chemotherapyPrior chemotherapy
No. of prior therapiesNo. of prior therapies
NonNon--NSAI hormonal therapyNSAI hormonal therapy
PgR status positivePgR status positive
Baselga et al. N Engl J Med 2012
BOLEROBOLERO--2: Response & Clinical Benefit2: Response & Clinical Benefit
50,5%50,5%
4040
5050
6060 Everolimus + ExemestaneEverolimus + Exemestane
Placebo + ExemestanePlacebo + Exemestane
P < 0.0001
Baselga et al. N Engl J Med 2012
12,0%12,0%
1,3%1,3%
25,5%25,5%
00
1010
2020
3030
ResponseResponse Clinical BenefitClinical Benefit
BOLEROBOLERO--2: Bone Markers2: Bone Markers% C
han
ge F
rom B
aselin
e% C
han
ge F
rom B
aselin
e
20.920.9
35.535.529.529.5
18.118.1
40.740.7 40.340.3
3030
4040
5050BSAPBSAP P1NPP1NP CTXCTX BSAPBSAP P1NPP1NP CTXCTX
6 weeks6 weeks 12 weeks12 weeks
% C
han
ge F
rom B
aselin
e% C
han
ge F
rom B
aselin
e
--5.65.6
--20.320.3
--6.36.3 --3.63.6
--26.726.7
--0.40.4
20.920.9 18.118.1
--4040
--3030
--2020
--1010
00
1010
2020
EVE + EXEEVE + EXEPBO + EXEPBO + EXE
ΔΔ27%27% ΔΔ56%56% ΔΔ36%36% ΔΔ22%22% ΔΔ67%67% ΔΔ41%41%
Hortobagyi et al. SABCS 2011
PI3K pathway: markers vs. targetsPI3K pathway: markers vs. targets
INPP4BLKB1
Modified from McAuliffe P et al. Clin P et al. Clin Breast Cancer 2010
LKB1
RegistrationRegistration
PIK3CA/PTENPIK3CA/PTENanalysisanalysis
Arm A Arm A -- GDCGDC--0941 (Daily)0941 (Daily)
RandomizationRandomizationStratificationStratification
PIK3CA/PTEN PIK3CA/PTEN ResultsResults
Fulvestrant in ER positive breast cancer Fulvestrant in ER positive breast cancer with GDCwith GDC--0941 and GDC0941 and GDC--0980 0980 InhibitorsInhibitors
C2D1C2D1C1D1C1D1 C1D15C1D15DD--2828
RegistrationRegistration
“run“run--in”in”screeningscreening
FulvestrantFulvestrant500mg500mg
FulvestrantFulvestrant500mg500mg
Arm B Arm B -- GDCGDC--0980 (Daily)0980 (Daily)
C3D1C3D1
Arm C Arm C –– Placebo (Daily)Placebo (Daily)
FulvestrantFulvestrant500mg/Q4w500mg/Q4w
FulvestrantFulvestrant500mg/Q4w500mg/Q4w
D1D1--D28 D28 D1D1--D28 D28
NodeNode--positive HRpositive HR--positive and HER2positive and HER2--negative breast cancernegative breast cancer
Patients consent to studyPatients consent to study--sponsored RSsponsored RStesting if not already donetesting if not already done
RECURRENCE RECURRENCE
Number of positive nodes ?Number of positive nodes ?
11--3 positive3 positive4+ positive4+ positive
RS > 25RS > 2511--3 positive nodes and 3 positive nodes and
Phase III Randomized, placeboPhase III Randomized, placebo--controlled clinical trial evaluating the use of controlled clinical trial evaluating the use of adjuvant endocrine therapy +/adjuvant endocrine therapy +/-- everolimuseverolimus in patients with highin patients with high--risk, noderisk, node--
positive, hormone receptorpositive, hormone receptor--positive and HER2positive and HER2--neu normal breast cancer neu normal breast cancer
RECURRENCE RECURRENCE SCORE evaluatedSCORE evaluated
Chemotherapy; Chemotherapy; endocrine therapyendocrine therapy
No Chemotherapy; No Chemotherapy; endocrine therapyendocrine therapy
RANDOMIZATIONRANDOMIZATION
Chemotherapy vs.Chemotherapy vs.No ChemotherapyNo Chemotherapy
Adjuvant or Adjuvant or neoadjuvant neoadjuvant
chemotherapychemotherapy
RANDOMIZATIONRANDOMIZATIONPostPost--chemotherapychemotherapy
(stratification by number of (stratification by number of lymph nodes and timing of lymph nodes and timing of
chemotherapy)chemotherapy)
Everolimus vs. Everolimus vs. PlaceboPlacebo
RS ≤ 25RS ≤ 25
Everolimus +Everolimus +Endocrine TherapyEndocrine Therapy
Placebo + Placebo + Endocrine TherapyEndocrine Therapy
Current Current RxPONDERRxPONDER trialtrial New adjuvant trialNew adjuvant trial
Low riskLow risk11--3 positive nodes3 positive nodes
and RS ≤ 25and RS ≤ 25
11--3 positive nodes and 3 positive nodes and RS > 25 or 4+ positive RS > 25 or 4+ positive
nodesnodes
A phase II A phase II neoadjuvantneoadjuvant trial of BEZtrial of BEZ--235 in 235 in combination with endocrine therapy in postcombination with endocrine therapy in post--menopausal patients with operable hormone menopausal patients with operable hormone
receptorreceptor--positive breast cancerpositive breast cancer
PostmenpausalPostmenpausalBreast CancerBreast CancerT1T1--3/N03/N0--11
Arm 1:Arm 1:LetrozoleLetrozoleBEZ235BEZ235
2 weeks2 weeks
Biops
yBiops
y
Sur
gery
Sur
gery
22 weeks22 weeks
LetrozoleLetrozoleBEZ235BEZ235
T1T1--3/N03/N0--11ER or PR+/HER2ER or PR+/HER2––PostPost--menopausalmenopausal
PI3K pathway aberrationPI3K pathway aberration(core biopsy)(core biopsy)
KiKi--6767TUNELTUNEL
PP--AktAkt, etc., etc.microarraysmicroarrays
RPPARPPAFDGFDG--PETPET
KiKi--6767TUNELTUNEL
PP--Akt, etcAkt, etcmicroarraysmicroarrays
RPPARPPAFDGFDG--PETPET
Arm 2:Arm 2:LetrozoleLetrozolePlaceboPlacebo
Biops
yBiops
y
Sur
gery
Sur
gery
Path CRPath CRClinClin ResponseResponse(US, (US, MammoMammo))
Breast Cons SurgeryBreast Cons SurgeryKiKi--6767TUNELTUNEL
PP--Akt, etcAkt, etcmicroarraysmicroarrays
RPPARPPA
2:1 randomization2:1 randomization
LetrozoleLetrozolePlaceboPlacebo
ConclusionsConclusions•• The PI3K pathway is one of the most important active signaling pathways in The PI3K pathway is one of the most important active signaling pathways in
cancer growth through various mechanismscancer growth through various mechanisms
•• Modulation of signal transduction pathway may modulate activity of Modulation of signal transduction pathway may modulate activity of endocrine therapy and influence outcome… Assuming of course that the endocrine therapy and influence outcome… Assuming of course that the tumor is “addicted” to the intended target!!tumor is “addicted” to the intended target!!
•• PI3K PI3K pathway activation is an important component in all subtypes of breast pathway activation is an important component in all subtypes of breast cancer, both in cancer growth and in therapy resistancecancer, both in cancer growth and in therapy resistancecancer, both in cancer growth and in therapy resistancecancer, both in cancer growth and in therapy resistance
•• The PI3K pathway is a common The PI3K pathway is a common mechanism of mechanism of endocrine therapy resistanceendocrine therapy resistance. . Benefit Benefit is is impressive.impressive.
Will Will be studied in the adjuvant be studied in the adjuvant settingsetting
Toxicities?Toxicities?
Patient Patient selection (awaiting correlativesselection (awaiting correlatives))
•• Clinical Clinical trials to evaluate the role PI3K pathway inhibitors at different trials to evaluate the role PI3K pathway inhibitors at different levels of the pathway are ongoing and should have extensive correlative levels of the pathway are ongoing and should have extensive correlative components to be able to decipher the best use of these drugs according to components to be able to decipher the best use of these drugs according to the molecular aberrations of the the molecular aberrations of the tumorstumors
AcknowledgementsAcknowledgementsMentorshipMentorship
•• G.N. HortobagyiG.N. Hortobagyi•• G.B. MillsG.B. Mills•• F. MericF. Meric--BernstamBernstam
GonzalezGonzalez--Angulo’s LabAngulo’s Lab•• S. LiuS. Liu•• X. MengX. Meng•• C. PhanC. Phan•• H. H. ChenChen•• E. E. TarcoTarco
MericMeric--Berstam’s LabBerstam’s Lab•• A. AkcakanatA. Akcakanat
Collaborators MDACCCollaborators MDACC
Systems BiologySystems Biology•• KK. . HaleHale•• J. J. MendelsohnMendelsohnTranscriptional ProfilingTranscriptional Profiling•• L. PusztaiL. Pusztai•• W.F. Symmans W.F. Symmans Tumor BankTumor Bank•• A. SahinA. SahinBMOBMO•• L. HsuL. Hsu
Surgical OncologySurgical Oncology•• E. MittendorfE. Mittendorf
BioinformaticsBioinformatics•• K. Coombes K. Coombes •• Y. JiY. Ji•• Z. JuZ. Ju•• W. LiuW. LiuBiostatisticsBiostatistics•• D. BerryD. Berry•• K. DoK. Do•• X. LeiX. Lei
T and H&NT and H&N•• G. BlumenscheinG. BlumenscheinPhase IPhase I
Collaborators Outside MDACollaborators Outside MDA
•• C. Perou, L. CareyC. Perou, L. Carey•• I. KropI. Krop•• R. Bernards, H. HorlingsR. Bernards, H. Horlings•• A. Lluch, J. FerrerA. Lluch, J. Ferrer•• C. C. ArteagaArteaga•• J. BaselgaJ. Baselga•• J. J. TaberneroTabernero, , J. RodonJ. Rodon•• J. GrayJ. Gray•• M. EllisM. Ellis•• C. Hudis, N. RosenC. Hudis, N. Rosen•• C. C. SotiriouSotiriou•• P. P. LorussoLorusso•• AL. BorresenAL. Borresen--DaleDale•• A. AkcakanatA. Akcakanat
•• G. SinghG. Singh•• E. MittendorfE. Mittendorf Phase IPhase I
•• Razelle KurzrockRazelle Kurzrock
•• AL. BorresenAL. Borresen--DaleDale•• F. F. AndreAndre•• M. PollakM. Pollak
Funding ByFunding By•• NIHNIH•• MDACC PhysicianMDACC Physician--Scientist Start up FundsScientist Start up Funds•• Komen for the CureKomen for the Cure•• BCRFBCRF•• Texas Fed of Business and Professional WomenTexas Fed of Business and Professional Women•• Commonwealth Foundation for Cancer ResearchCommonwealth Foundation for Cancer Research•• AACR SU2C Dream TeamAACR SU2C Dream Team•• ACSACS•• Clayton Foundation Clayton Foundation
•• PI of Investigator Initiative Trials with Novartis, BMS, GSK, PI of Investigator Initiative Trials with Novartis, BMS, GSK, Abraxis, Roche Dx, Genomic Health Inc, Merck.Abraxis, Roche Dx, Genomic Health Inc, Merck.•• Lab MTAs with NIH, Merck, Exelixis, Novartis, Xcovery, Lab MTAs with NIH, Merck, Exelixis, Novartis, Xcovery, EMD Serono, Genentech, BayerEMD Serono, Genentech, Bayer
Thank you !!!!Thank you !!!!
[email protected]@mdanderson.org