I-SPY 2 (investigation of serial studies to predict your therapeutic response with imaging and molecular analysis 2) is a process targeting the rapid, focused clinical development of paired oncologic therapies and biomarkers. The framework is an adaptive phase II clinical trial design in the neoadjuvant setting for women with locally advanced breast cancer. I-SPY 2 is a collaborative effort among academic investigators, the National Cancer Institute, the US Food and Drug Administration, and the pharmaceutical and biotechnology industries under the auspices of the Foundation for the National Institutes of Health Biomarkers Consortium.
Background The change in apparent diffusion coefficient (ADC) measured from diffusion‐weighted imaging (DWI) has been shown to be predictive of pathologic complete response (pCR) for patients with locally invasive breast cancer undergoing neoadjuvant chemotherapy. Purpose To investigate the additive value of tumor ADC in a multicenter clinical trial setting. Study Type Retrospective analysis of multicenter prospective data. Population In all, 415 patients who enrolled in the I‐SPY 2 TRIAL from 2010 to 2014 were included. Field Strength/Sequence 1.5T or 3T MRI system using a fat‐suppressed single‐shot echo planar imaging sequence with b‐values of 0 and 800 s/mm2 for DWI, followed by a T1‐weighted sequence for dynamic contrast‐enhanced MRI (DCE‐MRI) performed at pre‐NAC (T0), after 3 weeks of NAC (T1), mid‐NAC (T2), and post‐NAC (T3). Assessment Functional tumor volume and tumor ADC were measured at each MRI exam; pCR measured at surgery was assessed as the binary outcome. Breast cancer subtype was defined by hormone receptor (HR) and human epidermal growth factor receptor 2 (HER2) status. Statistical Tests A logistic regression model was used to evaluate associations between MRI predictors with pCR. The cross‐validated area under the curve (AUC) was calculated to assess the predictive performance of the model with and without ADC. Results In all, 354 patients (128 HR+/HER2–, 60 HR+/HER2+, 34 HR–/HER2+, 132 HR–/HER2–) were included in the analysis. In the full cohort, adding ADC predictors increased the AUC from 0.76 to 0.78 at mid‐NAC and from 0.76 to 0.81 at post‐NAC. In HR/HER2 subtypes, the AUC increased from 0.52 to 0.65 at pre‐NAC for HR+/HER2–, from 0.67 to 0.73 at mid‐NAC and from 0.72 to 0.76 at post‐NAC for HR+/HER2+, from 0.71 to 0.81 at post‐NAC for triple negatives. Data Conclusion The addition of ADC to standard functional tumor volume MRI showed improvement in the prediction of treatment response in HR+ and triple‐negative breast cancer. Level of Evidence: 2 Technical Efficacy Stage: 4 J. Magn. Reson. Imaging 2019;50:1742–1753.
Background: Pathological complete response (pCR) is accepted by FDA as a surrogate endpoint for accelerated approval of targeted agents in combination with chemotherapy based on better long-term outcomes compared to residual disease (Cortazar 2014). Methods: The multi-center, adaptively-randomized I-SPY2 platform trial uses pCR as the primary endpoint to identify investigational agents that will improve outcomes in women with stage 2/3 breast cancer with high risk of early recurrence, across all signatures, based on hormone receptor (HR), HER2, and 70-gene (MammaPrint) status. For patients with HR+ HER2- tumors, only 70-gene (Mammaprint) high-risk patients are enrolled. To date, 1200+ patients have been randomized to one of 14 arms: control (paclitaxel followed by AC); veliparib/carboplatin; neratinib; MK2206; trebananib; trastuzumab/pertuzumab; ado-trastuzumab emtansine/pertuzumab; pembrolizumabx4; ganitumab/metformin; ganetespib; PLX-3397. 7 agents graduated in at least one signature (> 85% probability of success in a 300-patient phase III confirmatory trial); 2 did not graduate; 1 stopped for toxicity, and 3 are enrolling (patritumab/trastuzumab, talazoparib/irinotecan, pembrolizumabx8). Local pathologists were centrally trained using the Residual Cancer Burden (RCB) assessment to ensure uniform evaluation and response classification; RCB 0 = pCR. Results: We evaluated the relationship between pCR and event free (EFS) and distant disease free survival (DDFS) in the first 522 pts (median follow-up:2.5 years). 180 pts achieved pCR (36%) while 338 did not (RCB=1-3). There were 82 EFS and 65 DRFS events. Over the entire group (including all arms), pCR was highly associated with 3-year EFS (p<0.001 for both). Pts achieving pCR had a 3% recurrence risk (RR) at 3 years; those with non-pCR had 24% RR over this time period. For distant recurrence, the 3-year RR with pCR was 2%, compared to 20% in pts with non-pCR. As expected, pCR rates varied by breast cancer subtype (HR+/HER2: 18% (35/196), HR+/HER2+: 40% (33/82), HR-/HER2+:68% (34/50), HR-/HER2-:41% (76/188)). The relationship between pCR and EFS was significant and clinically impactful within each subtype. 3-year survival (pCR group)Hazard Ratio OverallOverallHR+/HER2-HER2+TNBCEFS97%0.08 (0.03-0.23)0.14 (0.02-1.04)0 (NA)0.11 (0.03-0.37)DDFS98%0.08 (0.03-0.26)0.17 (0.01-1.23)0 (NA)0.09 (0.02-0.40) Conclusions: The first long-term efficacy results from the I-SPY2 TRIAL demonstrate that achieving pCR is a very strong surrogate endpoint for improved EFS and DDFS in a high-risk population, across all treatment arms, regardless of subtype. I-SPY2 shows substantially lower estimated EFS hazards for patients achieving pCR, compared to the 5 yr EFS hazard ratio for pCR vs not in Cortazar (hazard ratio 0.49), demonstrating important differences between a metaanalysis compared to a platform trial with uniform high-risk eligibility, standardized pathology assessment, and multiple targeted therapies. Our data support the use of pCR as a primary endpoint for accelerated approval of new drugs if EFS is evaluated in the same population. Based on these findings, the I-SPY2 TRIAL will test whether therapy can be deescalated or escalated for individual patients with the goal of achieving pCR for all. Citation Format: Yee D, DeMichele A, Isaacs C, Symmans F, Yau C, Albain KS, Hylton NM, Forero-Torres A, van't Veer LJ, Perlmutter J, Rugo HS, Melisko M, Chen Y-Y, Balassanian R, Krings G, Datnow B, Hasteh F, Tipps A, Weidner N, Zhang H, Tickman R, Thornton S, Ritter J, Amin K, Klein M, Chen B, Keeney G, Ocal T, Feldman M, Klipfel N, Sattar H, Mueller J, Gwin K, Baker G, Kallakury B, Zeck J, Duan X, Ersahin C, Gamez R, Troxell M, Mansoor A, Grasso LeBeau L, Sams S, Wisell J, Wei S, Harada S, Vinh T, Stamatakos MD, Tawfik O, Fan F, Adams A, Rendi M, Minton S, Magliocco A, Sahoo S, Fang Y, Hirst G, Singhrao R, Asare SM, Wallace AM, Chien AJ, Ellis ED, Han HS, Clark AS, Boughey JC, Elias AD, Nanda R, Korde L, Murthy R, Lang J, Northfelt D, Khan Q, Edmiston KK, Viscusi R, Haley B, Kemmer K, Zelnak A, Berry DA, Esserman LJ. Pathological complete response predicts event-free and distant disease-free survival in the I-SPY2 TRIAL [abstract]. In: Proceedings of the 2017 San Antonio Breast Cancer Symposium; 2017 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2018;78(4 Suppl):Abstract nr GS3-08.
Background: I-SPY 2 is a multicenter, phase 2 trial using response-adaptive randomization within biomarker subtypes to evaluate novel agents when added to standard neoadjuvant therapy for women with high-risk stage II/III breast cancer - investigational agent(I) +paclitaxel(T) qwk, doxorubicin & cyclophosphamide(AC) q2-3 wk x 4 vs. T/AC (control arm). The primary endpoint is pathologic complete response (pCR) at surgery. The goal is to identify/graduate regimens that have ≥85% Bayesian predictive probability of success (statistical significance) in a 300-patient phase 3 neoadjuvant trial defined by hormone-receptor (HR) & HER2 status & MammaPrint (MP). Regimens may also leave the trial for futility (< 10% probability of success) or following accrual of maximum sample size (10%< probability of success <85%). We report the results for experimental arm Ganitumab, a type I insulin-like growth factor receptor (IGF1R) inhibitor. IGF1R inhibitors are known to induce insulin resistance and all patients assigned to Ganitumab received metformin. Methods: Women with tumors ≥2.5cm were eligible for screening. MP low/HR+ and HER2+ tumors were ineligible for randomization. Hemoglobin A1C≥ 8.0% were ineligible. MRI scans (baseline, 3 cycles after start of therapy, at completion of weekly T and prior to surgery) were used in a longitudinal statistical model to improve the efficiency of adaptive randomization. Ganitumab was given at 12mg/kg q2 weeks and metformin at 850mg PO BID, while receiving ganitumab. Analysis was intention to treat with patients who switched to non-protocol therapy counted as non-pCRs. Ganitumab/metformin was open only to HER2- patients, and eligible for graduation in 3 of 10 pre-defined signatures: HER2-, HR+HER2- and HR-HER2-. Results: Ganitumab/metformin did not meet the criteria for graduation in the 3 signatures tested. When the maximum sample size was reached, accrual to this arm stopped. Ganitumab/metformin was assigned to 106 patients; there were 128 controls. We report probabilities of superiority for Ganitumab/metformin over control and Bayesian predictive probabilities of success in a neoadjuvant phase 3 trial equally randomized between Ganitumab/metformin and control, for each of the 3 biomarker signatures, using the final pathological response data from all patients. Safety data will be presented. SignatureEstimated pCR Rate (95% probability interval)Probability Ganitumab/ Metformin Is Superior to ControlPredictive Probability of Success in Phase 3 Ganitumab/ Metformin N = 106Control N = 128 All HER2-22% (13%-31%)16% (10%-23%)89%33%HR+/HER2-14% (4%-24%)12% (4%-19%)66%21%HR-/HER2-32% (17%-46%)21% (11%-32%)91%51% Conclusion: The I-SPY 2 adaptive randomization study estimates the probability that investigational regimens will be successful in a phase 3 neoadjuvant trial. The value of I-SPY 2 is to give insight about the performance of an investigational agent's likelihood of achieving pCR. For Ganitumab/metformin, no subtype came close to the efficacy threshold of 85% likelihood of success in phase 3, and this regimen does not appear to impact upfront reduction of tumor burden. Our data do not support its continued development for the neoadjuvant treatment of breast cancer. Citation Format: Yee D, Paoloni M, van't Veer L, Sanil A, Yau C, Forero A, Chien AJ, Wallace AM, Moulder S, Albain KS, Kaplan HG, Elias AD, Haley BB, Boughey JC, Kemmer KA, Korde LA, Isaacs C, Minton S, Nanda R, DeMichele A, Lang JE, Buxton MB, Hylton NM, Symmans WF, Lyandres J, Hogarth M, Perlmutter J, Esserman LJ, Berry DA. The evaluation of ganitumab/metformin plus standard neoadjuvant therapy in high-risk breast cancer: Results from the I-SPY 2 trial [abstract]. In: Proceedings of the 2016 San Antonio Breast Cancer Symposium; 2016 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2017;77(4 Suppl):Abstract nr P6-11-04.
#6043 Background: ACRIN 6657, the imaging component of the I-SPY trial (CALGB 150007/150012), is a multi-center study testing the ability of MRI to provide in-vivo quantification of breast tumor response to neoadjuvant chemotherapy, for early prediction of response and stratification of risk-of-recurrence following treatment. We report results from preliminary analysis comparing MRI variables for correlation with pathologic response and disease progression. Methods: Women with ≥3 cm invasive breast cancer receiving an anthracycline-cyclophosphamide (AC) neoadjuvant chemotherapy regimen followed by a taxane (T) were enrolled between May 2002 and March 2006. Contrast-enhanced MRI was performed prior to start of treatment (baseline), following 1 cycle of AC chemotherapy (t2), between AC and T regimens (t3), and after all chemotherapy but prior to surgery (t4). MRI assessments included tumor longest diameter (MRLD), tumor volume (MRVol), and signal enhancement ratio (SER), a measure of contrast enhancement kinetics. Clinical size (cSize) and mammographic longest diameter (MGLD) were also recorded. Linear dimension was measured by the radiologist for MGLD and MRLD; MRVol was calculated by computer using SER thresholds. Pathologic residual disease size (pSize) and residual cancer burden (RCB) index were evaluated following surgery. Results: 237 patients were enrolled at 9 institutions. 216 patients with complete imaging formed the preliminary analysis set. At time of analysis 42 patients had progressed or died with mean time-to-progression of 21 months; 174 patients were progression-free with mean follow-up time of 42 months. At t4, MRVol was more strongly correlated with pSize than MRLD, SER or cSize (r=.61 vs .28, .24 and .43), while SER showed a stronger correlation with RCB than MRLD, MRVol or cSize (r = .45 vs .30, .31 and .37). MGLD at t4 did not show a significant correlation with either pSize or RCB. Early measurements of tumor size change from baseline by MRVol at t2, and MRVol, MRLD and SER at t3, all showed significant correlation with RCB. In univariate logistic regressions, all t4 measurements were found to be predictive of disease progression. Conclusion: Among clinical and imaging measurements of residual breast tumor size, MRI appears to most accurately reflect pathologic extent of disease following neoadjuvant treatment. Preliminary findings also suggest that tumor size and contrast kinetics measured by MRI may be useful early predictors of treatment response. ACRIN 6657 is continuing to collect follow-up data toward the primary aim testing MRI for stratification of post-treatment risk groups according to 3-year disease-free survival. This work is funded by NIH/ACRIN Grant U01 CA79778S2, CALGB Grants CA31946 and CA33601, and NCI SPORE Grant CA58207. Citation Information: Cancer Res 2009;69(2 Suppl):Abstract nr 6043.
Background:Pathologic complete response(pCR) after neoadjuvant therapy is an established prognostic biomarker for high-risk breast cancer(BC). Improving pCR rates may identify new therapies that improve survival. I-SPY 2 uses response-adaptive randomization within biomarker subtypes to evaluate novel agents when added to standard neoadjuvant therapy for women with high-risk stage II/III breast cancer; the goal is to identify regimens that have ≥85% Bayesian predictive probability of success (statistical significance) in a 300-patient phase 3 neoadjuvant trial defined by hormone-receptor (HR), HER2 status and MammaPrint (MP). We report the results for Ganetespib, a selective inhibitor of Hsp90 that induces the degradation/deactivation of key drivers of tumor initiation, progression, angiogenesis, and metastasis.Ganetespib + taxanes previously have resulted in a superior therapeutic response compared to monotherapy in multiple solid tumor models including BC. Methods:Women with tumors ≥2.5cm were eligible for screening and participation. MP low/HR+ tumors were ineligible for randomization. QTcF >470msec and HbA1C >8.0% were ineligible. MRI scans (baseline, +3 cycles, following weekly paclitaxel, T, and pre-surgery) were used in a longitudinal statistical model to improve the efficiency of adaptive randomization. Ganetespib was given with weekly T at 150 mg/m2 IV weekly (3 weeks on, 1 off). Patients were premedicated (dexamethasone 10mg and diphenhydramine HCl 25-50 mg, or therapeutic equivalents). Analysis was intention to treat with patients who switched to non-protocol therapy counted as non-pCRs. The Ganetespib regimen was open only to HER2- patients, and eligible for graduation in 3 of 10 pre-defined signatures: HER2-, HR+/HER2- and HR-/HER2-. Results:Ganetespib did not meet the criteria for graduation in the 3 signatures tested. When the maximum sample size was reached, accrual stopped. Ganetespib was assigned to 93 patients; there were 140 controls. We report probabilities of superiority for Ganetespib over control and Bayesian predictive probabilities of success in a neoadjuvant phase 3 trial equally randomized between Ganetespib and control, for the 3 biomarker signatures, using the final pCR data from all patients. Safety data will be presented. SignatureEstimated pCR Rate (95% probability interval)Probability Ganetespib Is Superior to ControlPredictive Probability of Ganetespib Success in a Phase 3 Trial Ganetespib N = 93Control N = 140 All HER2-26% (16%-37%)18% (8%-28%)91%47%HR+/HER2-15% (4%-27%)14% (4%-24%)60%19%HR-/HER2-38% (23%-53%)22% (9%-35%)96%72% Conclusion:The I-SPY 2 adaptive randomization model efficiently evaluates investigational agents in the setting of neoadjuvant BC. The value of I-SPY 2 is that it provides insight as to the regimen's likelihood of success in a phase 3 neoadjuvant study. Although no signature reached the efficacy threshold of 85% likelihood of success in phase 3, we observed the most impact in HR-/HER2- patients, with a 16% improvement in pCR rate. While our data do not support the continued development of Ganetespib alone for neoadjuvant BC, combinations with Ganetespib, which could potentiate its effect, may be worth pursuing in I-SPY 2 or similar trials. Citation Format: Forero A, Yee D, Buxton MB, Symmans WF, Chien AJ, Boughey JC, Elias AD, DeMichele A, Moulder S, Minton S, Kaplan HG, Albain KS, Wallace AM, Haley BB, Isaacs C, Korde LA, Nanda R, Lang JE, Kemmer KA, Hylton NM, Paoloni M, van't Veer L, Lyandres J, Perlmutter J, Hogarth M, Yau C, Sanil A, Berry DA, Esserman LJ. Efficacy of Hsp90 inhibitor ganetespib plus standard neoadjuvant therapy in high-risk breast cancer: Results from the I-SPY 2 trial [abstract]. In: Proceedings of the 2016 San Antonio Breast Cancer Symposium; 2016 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2017;77(4 Suppl):Abstract nr P6-11-02.
Background Functional MRI techniques may be utilized for characterizing breast tumors and measuring response to neoadjuvant chemotherapy (NAC). Dynamic contrast enhanced (DCE) MRI is the most common functional breast MRI technique. Fitting DCE MRI data to an appropriate pharmacokinetic model allows noninvasive, in vivo measurement of physiological parameters related to tissue perfusion, microvascular permeability, and extracellular/extravascular volume fraction. Diffusion weighted imaging (DWI) MRI is an alternative technique that measures the mobility of water molecules in vivo and is sensitive to tissue characteristics such as cell density, membrane permeability, and microstructure. DWI provides complementary information to DCE MRI about tumor biology and has shown promise for early prediction of response. The master ISPY2 multi-center study is a process targeting the rapid, focused clinical development of paired oncologic therapies and biomarkers. Its framework is an adaptive phase II clinical trial design in the neoadjuvant setting for women with locally advanced breast cancer. As a sub-study, ACRIN 6698 will combine both DCE and DWI MRI data to generate novel imaging biomarkers that correlate with treatment response. The two studies will provide a rich data set that can be used to elucidate molecular pathways and tumor responses to novel investigational drugs with standard chemotherapy. Trial design: ACRIN 6698 will perform advanced DCE and DWI MR imaging as part of the I-SPY TRIAL. The ISPY 2 adaptive therapy design will use different tumor biomarker assays to identify patients with high risk of recurrence. Patients will receive NAC doublet chemotherapy and trastuzumab (if Her2+). Patients will be randomized and stratified into different arms receiving investigational agents of different drug classes. ACRIN 6698 patients will receive four advanced MRI exams (both DCE and DWI) at baseline, early therapy, mid therapy and prior to surgery. Specific aims: The primary aim will determine if the % change in tumor apparent diffusion coefficient (ADC) measured on DWI from baseline to early treatment timepoint is predictive of pathologic complete response (pCR). The secondary aim will determine if the combined measurement of percentage change in tumor ADC on DWI, and percentage change in tumor volume and peak signal enhancement ratio (SER) on DCE MRI is predictive of pCR. Statistical methods: Receiver operating characteristic (ROC) curve and corresponding area under the ROC curves (AUC) for the individual marker, % change in tumor ADC, and % change in tumor volume and peak SER, will be estimated. Linear score of the 3 markers will be derived by fitting the multivariate logistic regression model, where the outcome is a binary variable for pCR and the predictors are the 3 measurements. The ROC curve for the derived linear score will be constructed and its AUC value will be estimated. Target accrual: ACRIN 6698 is open to ISPY 2 sites. The target accrual is 200 of ISPY 2's planned enrollment of 800 participants. Citation Information: Cancer Res 2011;71(24 Suppl):Abstract nr OT2-03-06.
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