Survival outcomes following pregnancy or assisted reproductive technologies after breast cancer: A population-based study.


Journal

Cancer
ISSN: 1097-0142
Titre abrégé: Cancer
Pays: United States
ID NLM: 0374236

Informations de publication

Date de publication:
01 09 2022
Historique:
revised: 16 05 2022
received: 24 02 2022
accepted: 27 05 2022
pubmed: 30 6 2022
medline: 17 8 2022
entrez: 29 6 2022
Statut: ppublish

Résumé

This study sought to determine the impact of pregnancy or assisted reproductive technologies (ART) on breast-cancer-specific survival among breast cancer survivors. The authors performed a cohort study using a novel data linkage from the California Cancer Registry, the California birth cohort, and the Society for Assisted Reproductive Technology Clinic Outcome Reporting System data sets. They performed risk-set matching in women with stages I-III breast cancer diagnosed between 2000 and 2012. For each pregnant woman, comparable women who were not pregnant at that point but were otherwise similar based on observed characteristics were matched at the time of pregnancy. After matching, Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for the association of pregnancy with breast-cancer-specific survival. We repeated these analyses for women who received ART. Among 30,021 women with breast cancer, 553 had a pregnancy and 189 attempted at least one cycle of ART. In Cox proportional hazards modeling, the pregnancy group had a higher 5-year disease-specific survival rate; 95.6% in the pregnancy group and 90.6% in the nonpregnant group (HR, 0.43; 95% CI, 0.24-0.77). In women with hormone receptor-positive cancer, we found similar results (HR, 0.43; 95% CI, 0.2-0.91). In the ART analysis, there was no difference in survival between groups; the 5-year disease-specific survival rate was 96.9% in the ART group and 94.1% in the non-ART group (HR, 0.44; 95% CI, 0.17-1.13). Pregnancy and ART are not associated with worse survival in women with breast cancer. We sought to determine the impact of pregnancy or assisted reproductive technologies (ART) among breast cancer survivors. We performed a study of 30,021 women by linking available data from California and the Society for Assisted Reproductive Technology Clinic Outcome Reporting System. For each pregnant woman, we matched at the time of pregnancy comparable women who were not pregnant at that point but were otherwise similar based on observed characteristics. We repeated these analyses for women who received ART. We found that pregnancy and ART were not associated with worse survival.

Sections du résumé

BACKGROUND
This study sought to determine the impact of pregnancy or assisted reproductive technologies (ART) on breast-cancer-specific survival among breast cancer survivors.
METHODS
The authors performed a cohort study using a novel data linkage from the California Cancer Registry, the California birth cohort, and the Society for Assisted Reproductive Technology Clinic Outcome Reporting System data sets. They performed risk-set matching in women with stages I-III breast cancer diagnosed between 2000 and 2012. For each pregnant woman, comparable women who were not pregnant at that point but were otherwise similar based on observed characteristics were matched at the time of pregnancy. After matching, Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for the association of pregnancy with breast-cancer-specific survival. We repeated these analyses for women who received ART.
RESULTS
Among 30,021 women with breast cancer, 553 had a pregnancy and 189 attempted at least one cycle of ART. In Cox proportional hazards modeling, the pregnancy group had a higher 5-year disease-specific survival rate; 95.6% in the pregnancy group and 90.6% in the nonpregnant group (HR, 0.43; 95% CI, 0.24-0.77). In women with hormone receptor-positive cancer, we found similar results (HR, 0.43; 95% CI, 0.2-0.91). In the ART analysis, there was no difference in survival between groups; the 5-year disease-specific survival rate was 96.9% in the ART group and 94.1% in the non-ART group (HR, 0.44; 95% CI, 0.17-1.13).
CONCLUSION
Pregnancy and ART are not associated with worse survival in women with breast cancer.
LAY SUMMARY
We sought to determine the impact of pregnancy or assisted reproductive technologies (ART) among breast cancer survivors. We performed a study of 30,021 women by linking available data from California and the Society for Assisted Reproductive Technology Clinic Outcome Reporting System. For each pregnant woman, we matched at the time of pregnancy comparable women who were not pregnant at that point but were otherwise similar based on observed characteristics. We repeated these analyses for women who received ART. We found that pregnancy and ART were not associated with worse survival.

Identifiants

pubmed: 35767282
doi: 10.1002/cncr.34371
pmc: PMC9378486
mid: NIHMS1817682
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

3243-3253

Subventions

Organisme : NCI NIH HHS
ID : K08 CA234333
Pays : United States
Organisme : NCATS NIH HHS
ID : KL2 TR001874
Pays : United States
Organisme : NCI NIH HHS
ID : P30 CA016672
Pays : United States
Organisme : NCI NIH HHS
ID : T32 CA101642
Pays : United States

Informations de copyright

© 2022 American Cancer Society.

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Auteurs

J Alejandro Rauh-Hain (JA)

Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Division of Cancer Prevention and Population Sciences, Department of Health Services Research, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.

Jose Zubizarreta (J)

Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts, USA.
Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts, USA.

Roni Nitecki (R)

Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.

Alexander Melamed (A)

Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA.

Shuangshuang Fu (S)

Division of Cancer Prevention and Population Sciences, Department of Health Services Research, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.

Kirsten Jorgensen (K)

Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.

Paula C Brady (PC)

Division of Reproductive Endocrinology, Department of Obstetrics and Gynecology, Columbia University Irving Medical Center, New York, New York, USA.

Valerie L Baker (VL)

Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Johns Hopkins University, Baltimore, Maryland, USA.

Mariana Chavez-MacGregor (M)

Division of Cancer Prevention and Population Sciences, Department of Health Services Research, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.

Sharon H Giordano (SH)

Division of Cancer Prevention and Population Sciences, Department of Health Services Research, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.

Nancy L Keating (NL)

Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts, USA.
Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.

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