Patterns of Fertility Preservation and Pregnancy Outcome After Breast Cancer at a Large Comprehensive Cancer Center

Dieci, Maria Vittoria; Ghiotto, Cristina; Barbieri, Caterina; Griguolo, Gaia; Saccardi, Carlo; Gangemi, Michele; Pluchinotta, Alfonso M.; Liso, Elisabetta Di; Giorgi, Carlo Alberto; Giarratano, Tommaso; Tasca, Giulia; Vernaci, Grazia Maria; Faggioni, Giovanni; Conte, Pierfranco; Guarneri, Valentina

doi:10.1089/jwh.2018.6986

Cited by 10 publications

(12 citation statements)

References 23 publications

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“…Our study is one of the few to provide a comprehensive view of the oncofertility care pathway in women aged ≤ 40 years with invasive breast cancer, from the transmission of information by the oncologist about the risk of chemo-induced hypofertility to gamete preservation. While the uptake of the offer of gamete preservation increased from 2012 to 2017, thus confirming the results of other studies ( 10 , 11 ), only 10.8% of women actually received it.…”

Section: Discussionsupporting

confidence: 86%

The stake of informing patients of the risk of hypofertility after chemotherapy for breast cancer

Martinet-Kosinski

Lamy

Bauvin

et al. 2023

Front. Public Health

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IntroductionToo few women with invasive breast cancer are informed of the risk of hypofertility after chemotherapy. However, this risk can be prevented by offering gamete preservation by a specialized team. We believe that if more women were informed about gamete preservation, more of them would accept it.ObjectivesThe primary objective is to describe each step of the oncofertility care pathway from provision of information to gamete preservation. The secondary objective is to estimate the impact of not receiving information by determining the proportion of women who would have undergone gamete preservation if they had been informed.Method575 women aged 18–40 years treated with chemotherapy for breast cancer between 2012 and 2017 in the Ouest-Occitanie region (~3 million inhabitants) were included. We first constructed a multivariate predictive model to determine the parameters influencing the uptake of the offer of gamete preservation among women who were informed and then applied it to the population of uninformed women.ResultsOnly 39% of women were informed of the risks of hypofertility related to chemotherapy and 11% ultimately received gamete preservation. If all had been informed of the risk, our model predicted an increase in gamete preservation of 15.35% in the youngest women (<30 years), 22.88% in women aged between 30 and 35 years and zero in those aged ≥36 years. We did not find any association with the European Deprivation Index (EDI).ConclusionOncologists should be aware of the need to inform patients aged ≤ 35 years about gamete preservation. If all received such information, the impact in terms of gamete preservation would likely be major.

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Section: Discussionsupporting

confidence: 86%

The stake of informing patients of the risk of hypofertility after chemotherapy for breast cancer

Martinet-Kosinski

Lamy

Bauvin

et al. 2023

Front. Public Health

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“…In recent years, the prevalence of the disease has been increasing, and data suggest that the survival rate of patients up to five years and ten years after diagnosis was 88% and 80%, respectively. In reality, not all tumors are cancerous, but they may be benign or malignant [ 6 , 13 , 20 , 21 ].…”

Section: Introductionmentioning

confidence: 99%

Modeling and comparing data mining algorithms for prediction of recurrence of breast cancer

et al. 2020

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Breast cancer is the most common invasive cancer and the second leading cause of cancer death in women. and regrettably, this rate is increasing every year. One of the aspects of all cancers, including breast cancer, is the recurrence of the disease, which causes painful consequences to the patients. Moreover, the practical application of data mining in the field of breast cancer can help to provide some necessary information and knowledge required by physicians for accurate prediction of breast cancer recurrence and better decision-making. The main objective of this study is to compare different data mining algorithms to select the most accurate model for predicting breast cancer recurrence. This study is cross-sectional and data gathering of this research performed from June 2018 to June 2019 from the official statistics of Ministry of Health and Medical Education and the Iran Cancer Research Center for patients with breast cancer who had been followed for a minimum of 5 years from February 2014 to April 2019, including 5471 independent records. After initial pre-processing in dataset and variables, seven new and conventional data mining algorithms have been applied that each one represents one kind of data mining approach. Results show that the C5.0 algorithm possibly could be a helpful tool for the prediction of breast cancer recurrence at the stage of distant recurrence and nonrecurrence, especially in the first to third years. also, LN involvement rate, Her2 value, Tumor size, free or closed tumor margin were found to be the most important features in our dataset to predict breast cancer recurrence.

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“…However, to our knowledge, data on time from pregnancy attempt to pregnancy occurrence have not been published so far in a selected population of BC patients, and the results we present here are unprecedented. Previous studies mainly focused on the time interval between BC diagnosis and live birth, and provide delays varying from 23 to 45 months according to the different studies led so far [ 19 , 20 , 22 , 24 , 25 , 41 , 42 , 43 , 44 , 45 , 46 ]. In Gerstl et al’s meta-analysis of 2 523 BC patients who became pregnant after BC treatment, the mean interval to the first pregnancy was 29 months (range: 11–63 months) and 40 months (range: 10–228 months) to a first live birth [ 46 ].…”

Section: Discussionmentioning

confidence: 99%

“…Our analyses report an overall miscarriage rate of 22%, and the miscarriage rate was significantly associated with increasing age. Gerst et al’s meta-analysis [ 46 ] reported an overall early pregnancy loss rate of 12%, varying from 2% to 24% according to studies [ 1 , 19 , 20 , 23 , 24 , 25 , 42 , 44 , 45 , 48 ]. Age of patients is known to be a risk factor of miscarriage, with an increasing risk with age [ 49 ].…”

Section: Discussionmentioning

confidence: 99%

Time to Pregnancy, Obstetrical and Neonatal Outcomes after Breast Cancer: A Study from the Maternity Network for Young Breast Cancer Patients

Labrosse

Lecourt

Hours

et al. 2021

Cancers

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Although an increasing number of young breast cancer (BC) patients have a pregnancy desire after BC, the time necessary to obtain a pregnancy after treatment and subsequent outcomes remain unknown. We aimed to determine the time to evolutive pregnancy in a cohort of BC survivors and subsequent obstetrical and neonatal outcomes. We analyzed BC patients treated at Institut Curie from 2005–2017, aged 18–43 years old (y.o.) at diagnosis having at least one subsequent pregnancy. 133 patients were included, representing 197 pregnancies. Mean age at BC diagnosis was 32.8 y.o. and at pregnancy beginning was 36.8 y.o. 71% pregnancies were planned, 18% unplanned and 86% spontaneous. 64% pregnancies resulted in live birth (n = 131). Median time from BC diagnosis to pregnancy beginning was 48 months and was significantly associated with endocrine therapy (p < 0.001). Median time to pregnancy was 4.3 months. Median time to evolutive pregnancy 5.6 months. In multivariate analysis, menstrual cycles before pregnancy remained significantly associated with time to pregnancy and endocrine therapy with time evolutive to pregnancy. None of the BC treatments (chemotherapy/endocrine therapy/trastuzumab) was significantly associated with obstetrical nor neonatal outcomes, that seemed comparable to global population. Our findings provide reassuring data for pregnancy counseling both in terms of delay and outcome.

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Patterns of Fertility Preservation and Pregnancy Outcome After Breast Cancer at a Large Comprehensive Cancer Center

Abstract: In this small retrospective cohort, no safety concerns were identified for pregnancy after BC. The importance attributed by clinicians to address fertility issues has increased over time.

Cited by 10 publications

References 23 publications

The stake of informing patients of the risk of hypofertility after chemotherapy for breast cancer

The stake of informing patients of the risk of hypofertility after chemotherapy for breast cancer

Modeling and comparing data mining algorithms for prediction of recurrence of breast cancer

Time to Pregnancy, Obstetrical and Neonatal Outcomes after Breast Cancer: A Study from the Maternity Network for Young Breast Cancer Patients

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