Datopotamab-deruxtecan in early-stage breast cancer: the sequential multiple assignment randomized I-SPY2.2 phase 2 trial.


Journal

Nature medicine
ISSN: 1546-170X
Titre abrégé: Nat Med
Pays: United States
ID NLM: 9502015

Informations de publication

Date de publication:
14 Sep 2024
Historique:
received: 07 08 2024
accepted: 23 08 2024
medline: 15 9 2024
pubmed: 15 9 2024
entrez: 14 9 2024
Statut: aheadofprint

Résumé

Among the goals of patient-centric care are the advancement of effective personalized treatment, while minimizing toxicity. The phase 2 I-SPY2.2 trial uses a neoadjuvant sequential therapy approach in breast cancer to further these goals, testing promising new agents while optimizing individual outcomes. Here we tested datopotamab-deruxtecan (Dato-DXd) in the I-SPY2.2 trial for patients with high-risk stage 2/3 breast cancer. I-SPY2.2 uses a sequential multiple assignment randomization trial design that includes three sequential blocks of biologically targeted neoadjuvant treatment: the experimental agent(s) (block A), a taxane-based regimen tailored to the tumor subtype (block B) and doxorubicin-cyclophosphamide (block C). Patients are randomized into arms consisting of different investigational block A treatments. Algorithms based on magnetic resonance imaging and core biopsy guide treatment redirection after each block, including the option of early surgical resection in patients predicted to have a high likelihood of pathological complete response, the primary endpoint. There are two primary efficacy analyses: after block A and across all blocks for the six prespecified breast cancer subtypes (defined by clinical hormone receptor/human epidermal growth factor receptor 2 (HER2) status and/or the response-predictive subtypes). We report results of 103 patients treated with Dato-DXd. While Dato-DXd did not meet the prespecified threshold for success (graduation) after block A in any subtype, the treatment strategy across all blocks graduated in the hormone receptor-negative HER2

Identifiants

pubmed: 39277671
doi: 10.1038/s41591-024-03266-2
pii: 10.1038/s41591-024-03266-2
doi:

Banques de données

ClinicalTrials.gov
['NCT01042379']

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : U.S. Department of Health & Human Services | National Institutes of Health (NIH)
ID : P01CA210961

Informations de copyright

© 2024. The Author(s), under exclusive licence to Springer Nature America, Inc.

Références

Nanda, R. et al. Effect of pembrolizumab plus neoadjuvant chemotherapy on pathologic complete response in women with early-stage breast cancer. JAMA Oncol. 6, 676–684 (2020).
doi: 10.1001/jamaoncol.2019.6650 pubmed: 32053137
Schmid, P. et al. Pembrolizumab for early triple-negative breast cancer. N. Engl. J. Med. 382, 810–821 (2020).
doi: 10.1056/NEJMoa1910549 pubmed: 32101663
I-SPY2 Trial Consortium. Association of event-free and distant recurrence–free survival with individual-level pathologic complete response in neoadjuvant treatment of stages 2 and 3 breast cancer. JAMA Oncol. 6, 1355–1362 (2020).
doi: 10.1001/jamaoncol.2020.2535
Li, W. et al. Abstract P4-02-10: MRI models by response predictive subtype for predicting pathologic complete response. Cancer Res. 83, P4-02-10 (2023).
Wolf, D. M. et al. Redefining breast cancer subtypes to guide treatment prioritization and maximize response: Predictive biomarkers across 10 cancer therapies. Cancer Cell 40, 609–623.e6 (2022).
doi: 10.1016/j.ccell.2022.05.005 pubmed: 35623341 pmcid: 9426306
Onishi, N. et al. Abstract P3-03-01: functional tumor volume at 3 and 6 week MRI as an indicator of patients with inferior outcome after neoadjuvant chemotherapy. Cancer Res. 82, P3-03-01 (2022).
doi: 10.1158/1538-7445.SABCS21-P3-03-01
Onishi, N. et al. Prospective performance of an MRI algorithm for early re-direction of breast cancer neoadjuvant treatment. In Proc. 32nd Annual Scientific Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (International Society for Magnetic Resonance in Medicine, 2024).
Okajima, D. et al. Datopotamab deruxtecan (Dato-DXd), a novel TROP2-directed antibody–drug conjugate, demonstrates potent antitumor activity by efficient drug delivery to tumor cells. Mol. Cancer Ther. 20, 2329–2340 (2021).
doi: 10.1158/1535-7163.MCT-21-0206 pubmed: 34413126 pmcid: 9398094
Sakach, E., Sacks, R. & Kalinsky, K. Trop-2 as a therapeutic target in breast cancer. Cancers 14, 5936 (2022).
doi: 10.3390/cancers14235936 pubmed: 36497418 pmcid: 9735829
Bardia, A. et al. Datopotamab deruxtecan in advanced or metastatic HR+/HER2− and triple-negative breast cancer: results from the phase I TROPION-PanTumor01 study. J. Clin. Oncol. 42, 2281–2294 (2024).
doi: 10.1200/JCO.23.01909 pubmed: 38652877
Gadaleta-Caldarola, G. et al. Safety evaluation of datopotamab deruxtecan for triple-negative breast cancer: a meta-analysis. Cancer Treat. Res. Commun. 37, 100775 (2023).
doi: 10.1016/j.ctarc.2023.100775 pubmed: 37956525
Dent, R. A. et al. TROPION-Breast02: datopotamab deruxtecan for locally recurrent inoperable or metastatic triple-negative breast cancer. Future Oncol. 19, 2349–2359 (2023).
doi: 10.2217/fon-2023-0228 pubmed: 37526149
Bardia, A. et al. TROPION-Breast03: a randomized phase III global trial of datopotamab deruxtecan ± durvalumab in patients with triple-negative breast cancer and residual invasive disease at surgical resection after neoadjuvant therapy. Ther. Adv. Med. Oncol. 16, 17588359241248336 (2024).
doi: 10.1177/17588359241248336 pubmed: 38686016 pmcid: 11057345
Bardia, A. et al. TROPION-Breast01: datopotamab deruxtecan vs chemotherapy in pre-treated inoperable or metastatic HR+/HER2− breast cancer. Futur. Oncol. 20, 423–436 (2024).
doi: 10.2217/fon-2023-0188
Rugo, H. S. et al. Adaptive randomization of veliparib–carboplatin treatment in breast cancer. N. Engl. J. Med. 375, 23–34 (2016).
doi: 10.1056/NEJMoa1513749 pubmed: 27406347 pmcid: 5259561
Shatsky, R. A. et al. Datopotamab–deruxtecan plus durvalumab in early-stage breast cancer: the sequential multiple assignment randomized I-SPY2.2 phase 2 trial. Nat. Med. https://doi.org/10.1038/s41591-024-03267-1 (2024).
Lavori, P. W. & Dawson, R. Introduction to dynamic treatment strategies and sequential multiple assignment randomization. Clin. Trials 11, 393–399 (2014).
doi: 10.1177/1740774514527651 pubmed: 24784487 pmcid: 4216645
Li, W. et al. Predicting breast cancer response to neoadjuvant treatment using multi-feature MRI: results from the I-SPY 2 TRIAL. NPJ Breast Cancer 6, 63 (2020).
doi: 10.1038/s41523-020-00203-7 pubmed: 33298938 pmcid: 7695723
Symmans, W. F. et al. Measurement of residual breast cancer burden to predict survival after neoadjuvant chemotherapy. J. Clin. Oncol. 25, 4414–4422 (2007).
doi: 10.1200/JCO.2007.10.6823 pubmed: 17785706
Yau, C. et al. Residual cancer burden after neoadjuvant chemotherapy and long-term survival outcomes in breast cancer: a multicentre pooled analysis of 5161 patients. Lancet Oncol. 23, 149–160 (2022).
doi: 10.1016/S1470-2045(21)00589-1 pubmed: 34902335
Common terminology criteria for adverse events (CTCAE) protocol development. CTEP National Cancer Institute https://ctep.cancer.gov/protocolDevelopment/electronic_applications/ctc.htm (2021).
Basch, E. et al. Development of the National Cancer Institute’s patient-reported outcomes version of the common terminology criteria for adverse events (PRO-CTCAE). J. Natl Cancer Inst. 106, dju244 (2014).
doi: 10.1093/jnci/dju244 pubmed: 25265940 pmcid: 4200059
Jacob, S. et al. Use of PROMIS to capture patient reported outcomes over time for patients on I-SPY2. J. Clin. Oncol. 41, 611 (2023).
doi: 10.1200/JCO.2023.41.16_suppl.611
Pearman, T. P., Beaumont, J. L., Mroczek, D., O’Connor, M. & Cella, D. Validity and usefulness of a single-item measure of patient-reported bother from side effects of cancer therapy. Cancer 124, 991–997 (2018).
doi: 10.1002/cncr.31133 pubmed: 29131323
Oken, M. M. et al. Toxicity and response criteria of the eastern-cooperative-oncology-group. Am. J. Clin. Oncol. 5, 649–655 (1982).
doi: 10.1097/00000421-198212000-00014 pubmed: 7165009
Cardoso, F. et al. 70-Gene signature as an aid to treatment decisions in early-stage breast cancer. N. Engl. J. Med. 375, 717–729 (2016).
doi: 10.1056/NEJMoa1602253 pubmed: 27557300
Beltran, P. J. et al. Ganitumab (AMG 479) inhibits IGF-II–dependent ovarian cancer growth and potentiates platinum-based chemotherapy. Clin. Cancer Res. 20, 2947–2958 (2014).
doi: 10.1158/1078-0432.CCR-13-3448 pubmed: 24727326 pmcid: 4138720
Pusztai, L. et al. Durvalumab with olaparib and paclitaxel for high-risk HER2-negative stage II/III breast cancer: results from the adaptively randomized I-SPY2 trial. Cancer Cell 39, 989–998.e5 (2021).
doi: 10.1016/j.ccell.2021.05.009 pubmed: 34143979 pmcid: 11064785
Piccart, M. et al. 70-Gene signature as an aid for treatment decisions in early breast cancer: updated results of the phase 3 randomised MINDACT trial with an exploratory analysis by age. Lancet Oncol. 22, 476–488 (2021).
doi: 10.1016/S1470-2045(21)00007-3 pubmed: 33721561
Brahmer, J. R. et al. Society for Immunotherapy of Cancer (SITC) clinical practice guideline on immune checkpoint inhibitor-related adverse events. J. Immunother. Cancer 9, e002435 (2021).
doi: 10.1136/jitc-2021-002435 pubmed: 34172516 pmcid: 8237720
Haanen, J. et al. Management of toxicities from immunotherapy: ESMO clinical practice guideline for diagnosis, treatment and follow-up. Ann. Oncol. 33, 1217–1238 (2022).
doi: 10.1016/j.annonc.2022.10.001 pubmed: 36270461

Auteurs

Katia Khoury (K)

University of Alabama at Birmingham, Birmingham, AL, USA.

Jane L Meisel (JL)

Emory University, Atlanta, GA, USA.

Christina Yau (C)

University of California San Francisco, San Francisco, CA, USA.

Hope S Rugo (HS)

University of California San Francisco, San Francisco, CA, USA.

Rita Nanda (R)

University of Chicago, Chicago, IL, USA.

Marie Davidian (M)

North Carolina State University, Raleigh, NC, USA.

Butch Tsiatis (B)

North Carolina State University, Raleigh, NC, USA.

A Jo Chien (AJ)

University of California San Francisco, San Francisco, CA, USA.

Anne M Wallace (AM)

University of California San Diego, San Diego, CA, USA.

Mili Arora (M)

University of California Davis, Davis, CA, USA.

Mariya Rozenblit (M)

Yale University, New Haven, CT, USA.

Dawn L Hershman (DL)

Columbia University, New York, NY, USA.

Alexandra Zimmer (A)

Oregon Health Sciences University, Portland, OR, USA.

Amy S Clark (AS)

University of Pennsylvania, Philadelphia, PA, USA.

Heather Beckwith (H)

University of Minnesota, Minneapolis, MN, USA.

Anthony D Elias (AD)

University of Colorado Denver, Denver, CO, USA.

Erica Stringer-Reasor (E)

University of Alabama at Birmingham, Birmingham, AL, USA.

Judy C Boughey (JC)

The Mayo Clinic, Rochester, MN, USA.

Chaitali Nangia (C)

HOAG Family Cancer Institute, Newport Beach, CA, USA.

Christos Vaklavas (C)

Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA.

Coral Omene (C)

Cooperman Barnabas Medical Center, New Brunswick, NJ, USA.
Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA.

Kathy S Albain (KS)

Stritch School of Medicine, Loyola University Chicago, Chicago, IL, USA.

Kevin M Kalinsky (KM)

Emory University, Atlanta, GA, USA.

Claudine Isaacs (C)

Lombardi Comprehensive Cancer Center, Georgetown University, Washington DC, USA.

Jennifer Tseng (J)

City of Hope Orange County Lennar Foundation Cancer Center, Orange County, CA, USA.

Evanthia T Roussos Torres (ET)

University of Southern California, Los Angeles, CA, USA.

Brittani Thomas (B)

Sparrow Health System, Lansing, MI, USA.

Alexandra Thomas (A)

Wake Forest University, Winston-Salem, NC, USA.

Amy Sanford (A)

Sanford Health, Sioux Falls, SD, USA.

Ronald Balassanian (R)

University of California San Francisco, San Francisco, CA, USA.

Cheryl Ewing (C)

University of California San Francisco, San Francisco, CA, USA.

Kay Yeung (K)

University of California San Diego, San Diego, CA, USA.

Candice Sauder (C)

University of California Davis, Davis, CA, USA.

Tara Sanft (T)

Yale University, New Haven, CT, USA.

Lajos Pusztai (L)

Yale University, New Haven, CT, USA.

Meghna S Trivedi (MS)

Columbia University, New York, NY, USA.

Ashton Outhaythip (A)

Oregon Health Sciences University, Portland, OR, USA.

Wen Li (W)

University of California San Francisco, San Francisco, CA, USA.

Natsuko Onishi (N)

University of California San Francisco, San Francisco, CA, USA.

Adam L Asare (AL)

University of California San Francisco, San Francisco, CA, USA.
Quantum Leap Healthcare Collaborative, San Francisco, CA, USA.

Philip Beineke (P)

Quantum Leap Healthcare Collaborative, San Francisco, CA, USA.

Peter Norwood (P)

Quantum Leap Healthcare Collaborative, San Francisco, CA, USA.

Lamorna Brown-Swigart (L)

University of California San Francisco, San Francisco, CA, USA.

Gillian L Hirst (GL)

University of California San Francisco, San Francisco, CA, USA.

Jeffrey B Matthews (JB)

University of California San Francisco, San Francisco, CA, USA.

Brian Moore (B)

Wake Forest University, Winston-Salem, NC, USA.

W Fraser Symmans (W)

University of Texas MD Anderson Cancer Center, Houston, TX, USA.

Elissa Price (E)

University of California San Francisco, San Francisco, CA, USA.

Carolyn Beedle (C)

University of California San Francisco, San Francisco, CA, USA.

Jane Perlmutter (J)

The Gemini Group, Ann Arbor, MI, USA.

Paula Pohlmann (P)

University of Texas MD Anderson Cancer Center, Houston, TX, USA.

Rebecca A Shatsky (RA)

University of California San Diego, San Diego, CA, USA.

Angela DeMichele (A)

University of Pennsylvania, Philadelphia, PA, USA.

Douglas Yee (D)

University of Minnesota, Minneapolis, MN, USA.

Laura J van 't Veer (LJ)

University of California San Francisco, San Francisco, CA, USA.

Nola M Hylton (NM)

University of California San Francisco, San Francisco, CA, USA.

Laura J Esserman (LJ)

University of California San Francisco, San Francisco, CA, USA. laura.esserman@ucsf.edu.

Classifications MeSH