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Interrupting Endocrine Therapy to Attempt Pregnancy after Breast Cancer.
Partridge, Ann H; Niman, Samuel M; Ruggeri, Monica; Peccatori, Fedro A; Azim, Hatem A; Colleoni, Marco; Saura, Cristina; Shimizu, Chikako; Sætersdal, Anna B; Kroep, Judith R; Mailliez, Audrey; Warner, Ellen; Borges, Virginia F; Amant, Frédéric; Gombos, Andrea; Kataoka, Akemi; Rousset-Jablonski, Christine; Borstnar, Simona; Takei, Junko; Lee, Jeong E; Walshe, Janice M; Ruíz-Borrego, Manuel; Moore, Halle C F; Saunders, Christobel; Bjelic-Radisic, Vesna; Susnjar, Snezana; Cardoso, Fatima; Smith, Karen L; Ferreiro, Teresa; Ribi, Karin; Ruddy, Kathryn; Kammler, Roswitha; El-Abed, Sarra; Viale, Giuseppe; Piccart, Martine; Korde, Larissa A; Goldhirsch, Aron; Gelber, Richard D; Pagani, Olivia.
Afiliación
  • Partridge AH; From the Department of Medical Oncology, Dana-Farber Cancer Institute (A.H.P.), Harvard Medical School (A.H.P., R.D.G.), the International Breast Cancer Study Group Statistical Center and the Department of Data Science, Division of Biostatistics, Dana-Farber Cancer Institute (S.M.N., R.D.G.), and Fr
  • Niman SM; From the Department of Medical Oncology, Dana-Farber Cancer Institute (A.H.P.), Harvard Medical School (A.H.P., R.D.G.), the International Breast Cancer Study Group Statistical Center and the Department of Data Science, Division of Biostatistics, Dana-Farber Cancer Institute (S.M.N., R.D.G.), and Fr
  • Ruggeri M; From the Department of Medical Oncology, Dana-Farber Cancer Institute (A.H.P.), Harvard Medical School (A.H.P., R.D.G.), the International Breast Cancer Study Group Statistical Center and the Department of Data Science, Division of Biostatistics, Dana-Farber Cancer Institute (S.M.N., R.D.G.), and Fr
  • Peccatori FA; From the Department of Medical Oncology, Dana-Farber Cancer Institute (A.H.P.), Harvard Medical School (A.H.P., R.D.G.), the International Breast Cancer Study Group Statistical Center and the Department of Data Science, Division of Biostatistics, Dana-Farber Cancer Institute (S.M.N., R.D.G.), and Fr
  • Azim HA; From the Department of Medical Oncology, Dana-Farber Cancer Institute (A.H.P.), Harvard Medical School (A.H.P., R.D.G.), the International Breast Cancer Study Group Statistical Center and the Department of Data Science, Division of Biostatistics, Dana-Farber Cancer Institute (S.M.N., R.D.G.), and Fr
  • Colleoni M; From the Department of Medical Oncology, Dana-Farber Cancer Institute (A.H.P.), Harvard Medical School (A.H.P., R.D.G.), the International Breast Cancer Study Group Statistical Center and the Department of Data Science, Division of Biostatistics, Dana-Farber Cancer Institute (S.M.N., R.D.G.), and Fr
  • Saura C; From the Department of Medical Oncology, Dana-Farber Cancer Institute (A.H.P.), Harvard Medical School (A.H.P., R.D.G.), the International Breast Cancer Study Group Statistical Center and the Department of Data Science, Division of Biostatistics, Dana-Farber Cancer Institute (S.M.N., R.D.G.), and Fr
  • Shimizu C; From the Department of Medical Oncology, Dana-Farber Cancer Institute (A.H.P.), Harvard Medical School (A.H.P., R.D.G.), the International Breast Cancer Study Group Statistical Center and the Department of Data Science, Division of Biostatistics, Dana-Farber Cancer Institute (S.M.N., R.D.G.), and Fr
  • Sætersdal AB; From the Department of Medical Oncology, Dana-Farber Cancer Institute (A.H.P.), Harvard Medical School (A.H.P., R.D.G.), the International Breast Cancer Study Group Statistical Center and the Department of Data Science, Division of Biostatistics, Dana-Farber Cancer Institute (S.M.N., R.D.G.), and Fr
  • Kroep JR; From the Department of Medical Oncology, Dana-Farber Cancer Institute (A.H.P.), Harvard Medical School (A.H.P., R.D.G.), the International Breast Cancer Study Group Statistical Center and the Department of Data Science, Division of Biostatistics, Dana-Farber Cancer Institute (S.M.N., R.D.G.), and Fr
  • Mailliez A; From the Department of Medical Oncology, Dana-Farber Cancer Institute (A.H.P.), Harvard Medical School (A.H.P., R.D.G.), the International Breast Cancer Study Group Statistical Center and the Department of Data Science, Division of Biostatistics, Dana-Farber Cancer Institute (S.M.N., R.D.G.), and Fr
  • Warner E; From the Department of Medical Oncology, Dana-Farber Cancer Institute (A.H.P.), Harvard Medical School (A.H.P., R.D.G.), the International Breast Cancer Study Group Statistical Center and the Department of Data Science, Division of Biostatistics, Dana-Farber Cancer Institute (S.M.N., R.D.G.), and Fr
  • Borges VF; From the Department of Medical Oncology, Dana-Farber Cancer Institute (A.H.P.), Harvard Medical School (A.H.P., R.D.G.), the International Breast Cancer Study Group Statistical Center and the Department of Data Science, Division of Biostatistics, Dana-Farber Cancer Institute (S.M.N., R.D.G.), and Fr
  • Amant F; From the Department of Medical Oncology, Dana-Farber Cancer Institute (A.H.P.), Harvard Medical School (A.H.P., R.D.G.), the International Breast Cancer Study Group Statistical Center and the Department of Data Science, Division of Biostatistics, Dana-Farber Cancer Institute (S.M.N., R.D.G.), and Fr
  • Gombos A; From the Department of Medical Oncology, Dana-Farber Cancer Institute (A.H.P.), Harvard Medical School (A.H.P., R.D.G.), the International Breast Cancer Study Group Statistical Center and the Department of Data Science, Division of Biostatistics, Dana-Farber Cancer Institute (S.M.N., R.D.G.), and Fr
  • Kataoka A; From the Department of Medical Oncology, Dana-Farber Cancer Institute (A.H.P.), Harvard Medical School (A.H.P., R.D.G.), the International Breast Cancer Study Group Statistical Center and the Department of Data Science, Division of Biostatistics, Dana-Farber Cancer Institute (S.M.N., R.D.G.), and Fr
  • Rousset-Jablonski C; From the Department of Medical Oncology, Dana-Farber Cancer Institute (A.H.P.), Harvard Medical School (A.H.P., R.D.G.), the International Breast Cancer Study Group Statistical Center and the Department of Data Science, Division of Biostatistics, Dana-Farber Cancer Institute (S.M.N., R.D.G.), and Fr
  • Borstnar S; From the Department of Medical Oncology, Dana-Farber Cancer Institute (A.H.P.), Harvard Medical School (A.H.P., R.D.G.), the International Breast Cancer Study Group Statistical Center and the Department of Data Science, Division of Biostatistics, Dana-Farber Cancer Institute (S.M.N., R.D.G.), and Fr
  • Takei J; From the Department of Medical Oncology, Dana-Farber Cancer Institute (A.H.P.), Harvard Medical School (A.H.P., R.D.G.), the International Breast Cancer Study Group Statistical Center and the Department of Data Science, Division of Biostatistics, Dana-Farber Cancer Institute (S.M.N., R.D.G.), and Fr
  • Lee JE; From the Department of Medical Oncology, Dana-Farber Cancer Institute (A.H.P.), Harvard Medical School (A.H.P., R.D.G.), the International Breast Cancer Study Group Statistical Center and the Department of Data Science, Division of Biostatistics, Dana-Farber Cancer Institute (S.M.N., R.D.G.), and Fr
  • Walshe JM; From the Department of Medical Oncology, Dana-Farber Cancer Institute (A.H.P.), Harvard Medical School (A.H.P., R.D.G.), the International Breast Cancer Study Group Statistical Center and the Department of Data Science, Division of Biostatistics, Dana-Farber Cancer Institute (S.M.N., R.D.G.), and Fr
  • Ruíz-Borrego M; From the Department of Medical Oncology, Dana-Farber Cancer Institute (A.H.P.), Harvard Medical School (A.H.P., R.D.G.), the International Breast Cancer Study Group Statistical Center and the Department of Data Science, Division of Biostatistics, Dana-Farber Cancer Institute (S.M.N., R.D.G.), and Fr
  • Moore HCF; From the Department of Medical Oncology, Dana-Farber Cancer Institute (A.H.P.), Harvard Medical School (A.H.P., R.D.G.), the International Breast Cancer Study Group Statistical Center and the Department of Data Science, Division of Biostatistics, Dana-Farber Cancer Institute (S.M.N., R.D.G.), and Fr
  • Saunders C; From the Department of Medical Oncology, Dana-Farber Cancer Institute (A.H.P.), Harvard Medical School (A.H.P., R.D.G.), the International Breast Cancer Study Group Statistical Center and the Department of Data Science, Division of Biostatistics, Dana-Farber Cancer Institute (S.M.N., R.D.G.), and Fr
  • Bjelic-Radisic V; From the Department of Medical Oncology, Dana-Farber Cancer Institute (A.H.P.), Harvard Medical School (A.H.P., R.D.G.), the International Breast Cancer Study Group Statistical Center and the Department of Data Science, Division of Biostatistics, Dana-Farber Cancer Institute (S.M.N., R.D.G.), and Fr
  • Susnjar S; From the Department of Medical Oncology, Dana-Farber Cancer Institute (A.H.P.), Harvard Medical School (A.H.P., R.D.G.), the International Breast Cancer Study Group Statistical Center and the Department of Data Science, Division of Biostatistics, Dana-Farber Cancer Institute (S.M.N., R.D.G.), and Fr
  • Cardoso F; From the Department of Medical Oncology, Dana-Farber Cancer Institute (A.H.P.), Harvard Medical School (A.H.P., R.D.G.), the International Breast Cancer Study Group Statistical Center and the Department of Data Science, Division of Biostatistics, Dana-Farber Cancer Institute (S.M.N., R.D.G.), and Fr
  • Smith KL; From the Department of Medical Oncology, Dana-Farber Cancer Institute (A.H.P.), Harvard Medical School (A.H.P., R.D.G.), the International Breast Cancer Study Group Statistical Center and the Department of Data Science, Division of Biostatistics, Dana-Farber Cancer Institute (S.M.N., R.D.G.), and Fr
  • Ferreiro T; From the Department of Medical Oncology, Dana-Farber Cancer Institute (A.H.P.), Harvard Medical School (A.H.P., R.D.G.), the International Breast Cancer Study Group Statistical Center and the Department of Data Science, Division of Biostatistics, Dana-Farber Cancer Institute (S.M.N., R.D.G.), and Fr
  • Ribi K; From the Department of Medical Oncology, Dana-Farber Cancer Institute (A.H.P.), Harvard Medical School (A.H.P., R.D.G.), the International Breast Cancer Study Group Statistical Center and the Department of Data Science, Division of Biostatistics, Dana-Farber Cancer Institute (S.M.N., R.D.G.), and Fr
  • Ruddy K; From the Department of Medical Oncology, Dana-Farber Cancer Institute (A.H.P.), Harvard Medical School (A.H.P., R.D.G.), the International Breast Cancer Study Group Statistical Center and the Department of Data Science, Division of Biostatistics, Dana-Farber Cancer Institute (S.M.N., R.D.G.), and Fr
  • Kammler R; From the Department of Medical Oncology, Dana-Farber Cancer Institute (A.H.P.), Harvard Medical School (A.H.P., R.D.G.), the International Breast Cancer Study Group Statistical Center and the Department of Data Science, Division of Biostatistics, Dana-Farber Cancer Institute (S.M.N., R.D.G.), and Fr
  • El-Abed S; From the Department of Medical Oncology, Dana-Farber Cancer Institute (A.H.P.), Harvard Medical School (A.H.P., R.D.G.), the International Breast Cancer Study Group Statistical Center and the Department of Data Science, Division of Biostatistics, Dana-Farber Cancer Institute (S.M.N., R.D.G.), and Fr
  • Viale G; From the Department of Medical Oncology, Dana-Farber Cancer Institute (A.H.P.), Harvard Medical School (A.H.P., R.D.G.), the International Breast Cancer Study Group Statistical Center and the Department of Data Science, Division of Biostatistics, Dana-Farber Cancer Institute (S.M.N., R.D.G.), and Fr
  • Piccart M; From the Department of Medical Oncology, Dana-Farber Cancer Institute (A.H.P.), Harvard Medical School (A.H.P., R.D.G.), the International Breast Cancer Study Group Statistical Center and the Department of Data Science, Division of Biostatistics, Dana-Farber Cancer Institute (S.M.N., R.D.G.), and Fr
  • Korde LA; From the Department of Medical Oncology, Dana-Farber Cancer Institute (A.H.P.), Harvard Medical School (A.H.P., R.D.G.), the International Breast Cancer Study Group Statistical Center and the Department of Data Science, Division of Biostatistics, Dana-Farber Cancer Institute (S.M.N., R.D.G.), and Fr
  • Goldhirsch A; From the Department of Medical Oncology, Dana-Farber Cancer Institute (A.H.P.), Harvard Medical School (A.H.P., R.D.G.), the International Breast Cancer Study Group Statistical Center and the Department of Data Science, Division of Biostatistics, Dana-Farber Cancer Institute (S.M.N., R.D.G.), and Fr
  • Gelber RD; From the Department of Medical Oncology, Dana-Farber Cancer Institute (A.H.P.), Harvard Medical School (A.H.P., R.D.G.), the International Breast Cancer Study Group Statistical Center and the Department of Data Science, Division of Biostatistics, Dana-Farber Cancer Institute (S.M.N., R.D.G.), and Fr
  • Pagani O; From the Department of Medical Oncology, Dana-Farber Cancer Institute (A.H.P.), Harvard Medical School (A.H.P., R.D.G.), the International Breast Cancer Study Group Statistical Center and the Department of Data Science, Division of Biostatistics, Dana-Farber Cancer Institute (S.M.N., R.D.G.), and Fr
N Engl J Med ; 388(18): 1645-1656, 2023 May 04.
Article en En | MEDLINE | ID: mdl-37133584
ABSTRACT

BACKGROUND:

Prospective data on the risk of recurrence among women with hormone receptor-positive early breast cancer who temporarily discontinue endocrine therapy to attempt pregnancy are lacking.

METHODS:

We conducted a single-group trial in which we evaluated the temporary interruption of adjuvant endocrine therapy to attempt pregnancy in young women with previous breast cancer. Eligible women were 42 years of age or younger; had had stage I, II, or III disease; had received adjuvant endocrine therapy for 18 to 30 months; and desired pregnancy. The primary end point was the number of breast cancer events (defined as local, regional, or distant recurrence of invasive breast cancer or new contralateral invasive breast cancer) during follow-up. The primary analysis was planned to be performed after 1600 patient-years of follow-up. The prespecified safety threshold was the occurrence of 46 breast cancer events during this period. Breast cancer outcomes in this treatment-interruption group were compared with those in an external control cohort consisting of women who would have met the entry criteria for the current trial.

RESULTS:

Among 516 women, the median age was 37 years, the median time from breast cancer diagnosis to enrollment was 29 months, and 93.4% had stage I or II disease. Among 497 women who were followed for pregnancy status, 368 (74.0%) had at least one pregnancy and 317 (63.8%) had at least one live birth. In total, 365 babies were born. At 1638 patient-years of follow-up (median follow-up, 41 months), 44 patients had a breast cancer event, a result that did not exceed the safety threshold. The 3-year incidence of breast cancer events was 8.9% (95% confidence interval [CI], 6.3 to 11.6) in the treatment-interruption group and 9.2% (95% CI, 7.6 to 10.8) in the control cohort.

CONCLUSIONS:

Among select women with previous hormone receptor-positive early breast cancer, temporary interruption of endocrine therapy to attempt pregnancy did not confer a greater short-term risk of breast cancer events, including distant recurrence, than that in the external control cohort. Further follow-up is critical to inform longer-term safety. (Funded by ETOP IBCSG Partners Foundation and others; POSITIVE ClinicalTrials.gov number, NCT02308085.).
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias de la Mama Tipo de estudio: Observational_studies / Risk_factors_studies Límite: Adult / Female / Humans / Pregnancy Idioma: En Revista: N Engl J Med Año: 2023 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias de la Mama Tipo de estudio: Observational_studies / Risk_factors_studies Límite: Adult / Female / Humans / Pregnancy Idioma: En Revista: N Engl J Med Año: 2023 Tipo del documento: Article