Survey
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
Role of the PI3K/AKT/mTOR Pathway in Endocrine TherapyResistant Breast Cancer Ana M. Gonzalez-Angulo, MD Associate Professor Breast Medical Oncology Systems Biology Chicago, IL, ASCO 6/2012 PI3K Pathway Meric-Bernstam F, Gonzalez-Angulo AM, J Clin Oncol. 2009;27(13):2278-2287. PI3K Pathway: Genetic Target in Breast Cancer Growth Factors HER2 RAS PI3K PTEN INPP4B AKT AMPK TSC 1/2 mTOR S6K Tumor suppressor gene Oncogene LKB1 Gene % Mutation % Amp/Del HER2 2 25 PIK3CA 25 16 KRAS 4 PTEN 4 INPP4B AKT1 8 55 (TN) 3 Modified from Sellers W. SABCS. 2009. Onc*Base and Beroukhim R, et al Nature. 2010;463(7283):899-905. PI3K Pathway: Distinct Cancer States Are There Distinctive Dependences? Modified from Sellers W. AACR. 2011. Resistance to Endocrine Therapy in ER+ Breast Cancer Is Dependent Upon PI3K Signaling LTED cells exhibit increased PI3K/mTOR pathway activation PI3K pathway inhibition suppresses LTED cell growth, and prevents the emergence of hormoneindependent cells LTED, long-term estrogen-deprived Miller TW, et al. J Clin Invest. 2010;120(7):2406-2413. Resistance to Endocrine Therapy in ER+ Breast Cancer Is Dependent Upon PI3K Signaling Miller TW, et al. J Clin Invest. 2010;120(7):2406-2413. PI3K Pathway Activation mTOR Courtesy of S. Johnston Temsirolimus Reverses TAM Resistance in AktExpressing Breast Cancer by Restoration of Apoptotic Response Control Temsirolimus TAM TAM + Temsirolimus WT MCF-7 MyrAkt1 MCF7 TAM, tamoxifen De Graffenried LA, et al, Clin Cancer Res. 2004;10(23):8059-8067. Temsirolimus Reverses TAM Resistance in AktExpressing Breast Cancer by Restoration of Apoptotic Response Control Temsirolimus Tam Tam + Temsirolimus WT MCF-7 MyrAkt1 MCF7 De Graffenried LA, et al, Clin Cancer Res. 2004;10(23):8059-8067. Phase II Neoadjuvant Everolimus (RAD001) Breast Cancer Study • Newly diagnosed, untreated patients with ER+ localized breast cancer likely to benefit from hormonal therapy • Palpable tumor: >2 cm diameter S C R E E N R A N D O M I Z E N = 138 Letrozole 2.5 mg/d RAD001 10 mg/d Surgery N = 132 Letrozole 2.5 mg/d Placebo 16 weeks Tumor biopsies (Pretreatment) Tumor biopsies (Day 15) Baselga J, et al. J Clin Oncol. 2009;27(16):2630-2637. Tumor samples (Surgery) Results: Efficacy Summary Overall Response (CR + PR), % Palpation (primary endpoint) Ultrasound Everolimus + Letrozole n = 138 Placebo + Letrozole n = 132 P 68.1 59.1 .062* 58.0 47.0 .035* *1-sided chi-square level of significance is 10%. CR, complete response; PR, partial response Baselga J, et al. J Clin Oncol. 2009;27(16):2630-2637. Results: Major Pharmacodynamic Changes at Day 15 Reduction in pS6240 and pS6235 reveals everolimus-treated patients CyclinD1 ER PR Ki67 pS6235 pAkt Baselga J, et al. J Clin Oncol. 2009;27(16):2630-2637. pS6240 Cell Cycle Response (Ki67) Correlates With Clinical Response: Role of PIK3CA Mutations Reduction in Ki67 at Day 15 Day 15 Ki67 score correlated with clinical response Patients with PIK3CA exon 9 mut less responsive to letrozole as sensitive to everolimus + letrozole PIK3CA e9 PIK3CA e20 PIK3CA mutant only mutant only wt only 80 60 Ki67d15 40 20 0 CR PR NC PD Everolimus + letrozole Letrozole Baselga J, et al. J Clin Oncol. 2009;27(16):2630-2637. TAMRAD Schema Randomized phase II Metastatic patients with prior exposure to aromatase inhibitor (AI) A : Tamoxifen, 20 mg/d (TAM) B : Tamoxifen 20 mg/d + RAD001 10 mg/d (TAM + RAD) • Stratification: Primary or secondary hormone resistance • Primary: Relapse during adjuvant AI; progression within 6 months of starting AI treatment in metastatic setting • Secondary: Late relapse (≥6 months) or prior response and subsequent progression to metastatic AI treatment • No crossover planned Bachelot M, et al. Cancer Res. 2010;70(24 Suppl): Abstract S1-6 Time to Progression TAM: 4.5 months TAM + RAD: 8.6 months Hazard Ratio (HR) = 0.53; 95% CI (0.35-0.81) Probability of Survival Exploratory log-rank: P = .0026 1.0 0.9 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1 0.0 Patients at risk TAM + RAD: n = TAM : n = TAM TAM + RAD 0 2 4 6 8 10 12 14 16 18 20 22 24 26 28 Month 54 45 39 34 28 26 25 19 16 12 9 57 44 30 24 22 16 13 11 7 6 2 7 1 1 0 1 0 Bachelot M, et al. Cancer Res. 2010;70(24 Suppl): Abstract S1-6 0 0 Time to Progression as a Function of Intrinsic Hormone Resistance • Primary hormone resistance (n = 54) – TAM: 3.9 months – TAM + RAD: 5.4 months – HR = 0.74 (0.42-1.3) Probability of Survival TAM 1.0 0.9 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1 0.0 0 TAM + RAD 6 12 18 24 30 24 30 • Secondary hormone resistance (n = 56) – TAM: 5.0 months – TAM + RAD: 17.4 months – HR = 0.38 (0.21-0.71) Probability of Survival Months 1.0 0.9 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1 0.0 0 6 12 18 Months Bachelot M, et al. Cancer Res. 2010;70(24 Suppl): Abstract S1-6 Adverse Events TAM n = 57 Incidence, n (%) Grade Most Common Adverse Events (AE) Fatigue Stomatitis Rash Anorexia Diarrhea Nausea Vomiting Pneumonitis Thromboembolic Pain Dose reduction due to AE Treatment discontinuation due to AE TAM + RAD n = 54 Any 3/4 Any 3/4 30 (52.6) 4 (7.0) 3 (5.3) 10 (17.5) 5 (8.8) 19 (33.3) 7 (12.3) 2 (3.5) 4 (7.0) 48 (84.2) 6 (10.5) 0 1 (1.8) 2 (3.5) 0 0 2 (3.5) 2 (3.5) 4 (7.0) 11 (19.3) 40 (74.1) 28 (51.9) 21 (38.9) 24 (44.4) 21 (38.9) 18 (33.3) 9 (16.7) 9 (16.7) 7 (13.0) 42 (77.8) 3 (5.6) 6 (11.1) 3 (5.6) 5 (9.3) 1 (1.9) 2 (3.7) 0 1 (1.9) 3 (5.6) 5 (9.3) 0 (0) 15 (28) 4 (7.0) 3 (5.6) Bachelot M, et al. Cancer Res. 2010;70(24 Suppl): Abstract S1-6 BOLERO-2 Schema N = 724 Postmenopausal 2 ER+ HER2- ABC refractory to 1 letrozole or anastrozole Everolimus 10 mg/day + Exemestane 25 mg/day (N = 485) Placebo + Exemestane 25 mg/day (N = 239) PFS OS ORR Bone Markers Safety PK Stratification: 1. Sensitivity to prior hormonal therapy 2. Presence of visceral disease No cross-over ABC, advanced breast cancer; ORR, overall response rate; OS, overall survival; PK, pharmacokinetics Baselga J, et al. N Engl J Med. 2012;366(6):520-529. BOLERO-2 Primary Endpoint: PFS Local Assessment HR = 0.43 (95% CI: 0.35–0.54) Probability of Event, % 100 Log rank P value = 1.4 x 10-15 EVE + EXE: 6.9 months 80 PBO + EXE: 2.8 months 60 40 20 Everolimus + Exemestane (E/N=202/485) Placebo + Exemestane (E/N=157/239) 0 0 6 12 18 24 30 485 239 398 177 294 109 212 70 144 36 108 26 36 42 48 54 60 66 72 78 51 14 34 9 18 4 8 3 3 1 3 0 0 0 Time, weeks Everolimus Placebo 75 16 Baselga J, et al. N Engl J Med. 2012;366(6):520-529 BOLERO-2 Primary Endpoint: PFS Central Assessment HR = 0.36 (95% CI: 0.27–0.47) Probability of Event, % 100 Log rank P value = 3.3 x 10 -15 EVE + EXE: 10.6 Months 80 PBO + EXE: 4.1 Months 60 40 20 Everolimus + Exemestane (E/N=114/485) Placebo + Exemestane (E/N=104/239) 0 Everolimus Placebo 0 6 12 18 24 485 239 385 168 281 94 201 55 132 33 30 36 42 Time, weeks 102 20 67 11 43 11 48 54 60 66 72 78 28 6 18 3 9 3 3 1 2 0 0 0 Baselga J, et al. N Engl J Med. 2012;366(6):520-529 BOLERO-2: Most Common G3/4 AEs Everolimus + Exemestane (N = 482), % Placebo + Exemestane (N = 238), % All Grades Grade 3 Grade 4 All Grades Grade 3 Grade 4 Stomatitis 56 8 0 11 1 0 Fatigue 33 3 <1 26 1 0 Dyspnea 18 4 0 9 1 <1 Anemia 16 5 <1 4 <1 <1 Hyperglycemia 13 4 <1 2 <1 0 AST 13 3 <1 6 1 0 Pneumonitis 12 3 0 0 0 0 Baselga J, et al. N Engl J Med. 2012;366(6):520-529 BOLERO-2 PFS in Subgroups Favors Everolimus + Exemestane Favors Placebo + Exemestane Subgroups (N) All (724) Age <65 (449) ≥65 (275) Hormonal sensitivity YES (610) NO (114) Visceral metastasis YES (406) NO (318) Baseline ECOG PS 0 (435) 1, 2 (274) Prior chemotherapy YES (493) NO (231) No. of prior therapies 1 (118) 2 (217) ≥3 (389) Non-NSAI hormonal therapy YES (398) NO (326) PgR status positive YES (523) NO (184) 0.0 0.2 0.4 0.6 0.8 1.0 1.2 Hazard Ratio Baselga J, et al. N Engl J Med. 2012;366(6):520-529 BOLERO-2: Response & Clinical Benefit Baselga J, et al. N Engl J Med. 2012;366(6):520-529 PI3K Pathway: Markers vs Targets INPP4B LKB1 Modified from McAuliffe P, et al. Clin Breast Cancer. 2010;10 Suppl 3:S59-S65. Fulvestrant in ER-Positive Breast Cancer With GDC-0941 and GDC-0980 Inhibitors PIK3CA/PTEN Results PIK3CA/PTEN analysis Randomization Stratification Arm A - GDC-0941 (Daily) Registration Arm C – Placebo (Daily) Arm B - GDC-0980 (Daily) Fulvestrant 500 mg screening D-28 Fulvestrant 500 mg Fulvestrant 500 mg/Q4w “run-in” C1D1 Fulvestrant 500 mg/Q4w D1-D28 D1-D28 C1D15 C2D1 C3D1 Phase III Randomized, Placebo-controlled Clinical Trial Evaluating the Use of Adjuvant Endocrine Therapy +/- Everolimus in Patients with High-Risk, NodePositive, Hormone Receptor–Positive and HER2-neu Normal Breast Cancer Node-positive HR-positive and HER2-negative breast cancer Number of positive nodes ? 1-3 positive Patients consent to study-sponsored RS testing if not already done RECURRENCE SCORE evaluated RS > 25 RS ≤ 25 Low risk 1-3 positive nodes and RS ≤ 25 RANDOMIZATION Chemotherapy vs. No Chemotherapy 4+ positive 1-3 positive nodes and RS > 25 or 4+ positive nodes Adjuvant or neoadjuvant chemotherapy Chemotherapy; endocrine therapy RANDOMIZATION Post-chemotherapy (stratification by number of lymph nodes and timing of chemotherapy) Everolimus + Endocrine Therapy No Chemotherapy; endocrine therapy Everolimus vs. Placebo Placebo + Endocrine Therapy Current RxPONDER trial New adjuvant trial A Phase II Neoadjuvant Trial of BEZ-235 in Combination With Endocrine Therapy in Postmenopausal Patients With Operable Hormone Receptor-Positive Breast Cancer 22 weeks 2 weeks Ki67 TUNEL P-Akt, etc. microarrays RPPA FDG-PET 2:1 randomization Surgery Letrozole BEZ235 Biopsy Postmenpausal Breast Cancer T1-3/N0-1 ER or PR+/HER2– Postmenopausal PI3K pathway aberration (core biopsy) Arm 1: Letrozole BEZ235 Arm 2: Letrozole Placebo Letrozole Placebo Ki67 TUNEL P-Akt, etc microarrays RPPA FDG-PET Path CR Clin Response (US, Mammo) Breast Cons Surgery Ki67 TUNEL P-Akt, etc microarrays RPPA Conclusions • The PI3K pathway is one of the most important active signaling pathways in cancer growth through various mechanisms • Modulation of signal transduction pathway may modulate activity of endocrine therapy and influence outcome… Assuming of course that the tumor is “addicted” to the intended target!! • PI3K pathway activation is an important component in all subtypes of breast cancer, both in cancer growth and in therapy resistance • The PI3K pathway is a common mechanism of endocrine therapy resistance Benefit is impressive Will be studied in the adjuvant setting Toxicities? Patient selection (awaiting correlatives) • Clinical trials to evaluate the role PI3K pathway inhibitors at different 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 the molecular aberrations of the tumors What Would You Recommend to This Patient at This Time? 1. Fulvestrant alone 2. Fulvestrant + PI3K/AKT/mTOR inhibitor in a clinical trial 3. pan-ErbB receptor inhibitor in a clinical trial 4. Chemotherapy 5. Other Acknowledgements Collaborators MDACC Mentorship • G.N. Hortobagyi • G.B. Mills • F. Meric-Bernstam Gonzalez-Angulo’s Lab • S. Liu • X. Meng • C. Phan • H. Chen • E. Tarco Meric-Berstam’s Lab • A. Akcakanat • G. Singh • • • • • • • • • Systems Biology • K. Hale • J. Mendelsohn Transcriptional Profiling • L. Pusztai • W.F. Symmans Tumor Bank • A. Sahin BMO • L. Hsu Surgical Oncology • E. Mittendorf Funding By NIH MDACC Physician-Scientist Start up Funds Komen for the Cure BCRF Texas Fed of Business and Professional Women Commonwealth Foundation for Cancer Research AACR SU2C Dream Team ACS Clayton Foundation • PI of Investigator Initiative Trials with Novartis, BMS, GSK, Abraxis, Roche Dx, Genomic Health Inc, Merck. • Lab MTAs with NIH, Merck, Exelixis, Novartis, Xcovery, EMD Serono, Genentech, Bayer Bioinformatics • K. Coombes • Y. Ji • Z. Ju • W. Liu Biostatistics • D. Berry • K. Do • X. Lei T and H&N • G. Blumenschein Phase I • Razelle Kurzrock Collaborators Outside MDA • • • • • • • • • • • • • • • C. Perou, L. Carey I. Krop R. Bernards, H. Horlings A. Lluch, J. Ferrer C. Arteaga J. Baselga J. Tabernero, J. Rodon J. Gray M. Ellis C. Hudis, N. Rosen C. Sotiriou P. Lorusso AL. Borresen-Dale F. Andre M. Pollak