Estimation of historical control rate for a single arm de-escalation study - Application to the POSITIVE trial.


Journal

Breast (Edinburgh, Scotland)
ISSN: 1532-3080
Titre abrégé: Breast
Pays: Netherlands
ID NLM: 9213011

Informations de publication

Date de publication:
Oct 2020
Historique:
received: 28 04 2020
revised: 28 05 2020
accepted: 29 05 2020
pubmed: 15 6 2020
medline: 30 6 2021
entrez: 15 6 2020
Statut: ppublish

Résumé

Although randomized controlled clinical trials are optimal to evaluate the effect of an experimental therapy, single-arm trials are required whenever randomization is unethical or not feasible, such as de-escalation studies. We propose using prospectively identified historical controls to place results of single-arm, de-escalation trials into context. POSITIVE is a prospective, single-arm study in young women with hormone-receptor-positive early breast cancer to determine if temporarily interrupting adjuvant endocrine therapy in order to become pregnant increases the risk of a breast cancer event. After 272 women enrolled in POSITIVE, we identified a cohort of 1499 SOFT/TEXT patients potentially eligible to enroll in POSITIVE who did not interrupt endocrine therapy. Method I used the SOFT/TEXT cohort to calculate annualized hazard rates by a piecewise exponential model. Method II used the SOFT/TEXT cohort to group-match SOFT/TEXT patients to POSITIVE patients; sample sets of SOFT/TEXT patients were randomly drawn 5000 times to obtain sets having patient, disease, and treatment characteristics more balanced with POSITIVE participants. Compared with SOFT/TEXT, POSITIVE participants were younger, less likely to be overweight/obese, had fewer positive nodes, and fewer received aromatase inhibitor or chemotherapy. The estimated 3-year breast cancer free interval event rates were 9.5% (95% CI: 7.9%,11.1%) for Method I and 9.4% (95% CI: 7.8%,10.9%) for Method II, compared with 5.8% initially assumed when POSITIVE was designed. External control datasets should be identified before launching single-arm, de-escalation trials and methods applied during their conduct to provide context for interim monitoring and interpretation of the final analysis.

Sections du résumé

BACKGROUND BACKGROUND
Although randomized controlled clinical trials are optimal to evaluate the effect of an experimental therapy, single-arm trials are required whenever randomization is unethical or not feasible, such as de-escalation studies. We propose using prospectively identified historical controls to place results of single-arm, de-escalation trials into context.
METHODS METHODS
POSITIVE is a prospective, single-arm study in young women with hormone-receptor-positive early breast cancer to determine if temporarily interrupting adjuvant endocrine therapy in order to become pregnant increases the risk of a breast cancer event. After 272 women enrolled in POSITIVE, we identified a cohort of 1499 SOFT/TEXT patients potentially eligible to enroll in POSITIVE who did not interrupt endocrine therapy. Method I used the SOFT/TEXT cohort to calculate annualized hazard rates by a piecewise exponential model. Method II used the SOFT/TEXT cohort to group-match SOFT/TEXT patients to POSITIVE patients; sample sets of SOFT/TEXT patients were randomly drawn 5000 times to obtain sets having patient, disease, and treatment characteristics more balanced with POSITIVE participants.
RESULTS RESULTS
Compared with SOFT/TEXT, POSITIVE participants were younger, less likely to be overweight/obese, had fewer positive nodes, and fewer received aromatase inhibitor or chemotherapy. The estimated 3-year breast cancer free interval event rates were 9.5% (95% CI: 7.9%,11.1%) for Method I and 9.4% (95% CI: 7.8%,10.9%) for Method II, compared with 5.8% initially assumed when POSITIVE was designed.
CONCLUSION CONCLUSIONS
External control datasets should be identified before launching single-arm, de-escalation trials and methods applied during their conduct to provide context for interim monitoring and interpretation of the final analysis.

Identifiants

pubmed: 32535486
pii: S0960-9776(20)30119-3
doi: 10.1016/j.breast.2020.05.012
pmc: PMC7375555
pii:
doi:

Substances chimiques

Antineoplastic Agents, Hormonal 0
Receptor, ErbB-2 EC 2.7.10.1

Types de publication

Clinical Trial Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1-7

Subventions

Organisme : NCI NIH HHS
ID : UG1 CA233180
Pays : United States

Informations de copyright

Copyright © 2020 The Author(s). Published by Elsevier Ltd.. All rights reserved.

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Auteurs

Zhuoxin Sun (Z)

International Breast Cancer Study Group Statistical Center, Department of Data Sciences, Division of Biostatistics, Dana-Farber Cancer Institute, 450 Brookline Ave, Boston, MA, 02215, USA. Electronic address: zhuoxin@jimmy.harvard.edu.

Samuel M Niman (SM)

International Breast Cancer Study Group Statistical Center, Department of Data Sciences, Division of Biostatistics, Dana-Farber Cancer Institute, 450 Brookline Ave, Boston, MA, 02215, USA. Electronic address: sniman@jimmy.harvard.edu.

Olivia Pagani (O)

Institute of Oncology of Southern Switzerland, Geneva University Hospitals, Swiss Group for Clinical Cancer Research (SAKK), Lugano Viganello, Switzerland. Electronic address: opagani@bluewin.ch.

Ann H Partridge (AH)

Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, 02215, USA. Electronic address: ahpartridge@partners.org.

Hatem A Azim (HA)

Breast Cancer Center, Hospital Zambrano Hellion, School of Medicine, Tecnologico de Monterrey, Av. Batallon de San Patricio 112, 66278, San Pedro Garza Garcia, Mexico. Electronic address: hatem.azim@gmail.com.

Fedro A Peccatori (FA)

Fertility and Procreation Unit, Gynecologic Oncology Program, European Institute of Oncology IRCCS, Via Ripamonti 435, 20141, Milan, Italy. Electronic address: fedro.peccatori@ieo.it.

Monica Ruggeri (M)

International Breast Cancer Study Group, Program for Young Patients, Coordinating Center, Effingerstrasse 40, 3008, Bern, Switzerland. Electronic address: monica.ruggeri@ibcsg.org.

Angelo Di Leo (A)

"Sandro Pitigliani" Medical Oncology Department, Hospital of Prato, Via Suor Niccolina 20, Prato, 59100, Italy. Electronic address: angelo.dileo@uslcentro.toscana.it.

Marco Colleoni (M)

Division of Medical Senology, IEO, European Institute of Oncology, IRCCS, Milan, Italy. Electronic address: marco.colleoni@ieo.it.

Richard D Gelber (RD)

International Breast Cancer Study Group Statistical Center, Department of Data Sciences, Division of Biostatistics, Dana-Farber Cancer Institute, Harvard Medical School, Harvard TH Chan School of Public Health, And Frontier Science and Technology Research Foundation, 450 Brookline Ave, Boston, MA, 02215, USA. Electronic address: gelber@jimmy.harvard.edu.

Meredith M Regan (MM)

International Breast Cancer Study Group Statistical Center, Department of Data Sciences, Division of Biostatistics, Dana-Farber Cancer Institute, Harvard Medical School, 450 Brookline Ave, Boston, MA, 02215, USA. Electronic address: mregan@jimmy.harvard.edu.

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