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Predicting Chemotherapy Distribution into Breast Milk for Breastfeeding Women Using a Population Pharmacokinetic Approach
BACKGROUND AND OBJECTIVE: Information on the distribution of chemotherapeutic drugs to breast milk is scarce, and reports are limited to small sample sizes. Anecdotal pharmacokinetic data have typically been acquired from lactating but non-breastfeeding patients who collect breast milk by means of a...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10338611/ https://www.ncbi.nlm.nih.gov/pubmed/37154994 http://dx.doi.org/10.1007/s40262-023-01251-5 |
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author | Damoiseaux, David Centanni, Daniel Beijnen, Jos H. Amant, Frédéric Huitema, Alwin D. R. Dorlo, Thomas P. C. |
author_facet | Damoiseaux, David Centanni, Daniel Beijnen, Jos H. Amant, Frédéric Huitema, Alwin D. R. Dorlo, Thomas P. C. |
author_sort | Damoiseaux, David |
collection | PubMed |
description | BACKGROUND AND OBJECTIVE: Information on the distribution of chemotherapeutic drugs to breast milk is scarce, and reports are limited to small sample sizes. Anecdotal pharmacokinetic data have typically been acquired from lactating but non-breastfeeding patients who collect breast milk by means of an expression pump, which might not necessarily be representative for a breastfeeding population due to differences in milk production. Consequently, little is known about the variability of chemotherapy distribution to breast milk and the effect of milk production on the distribution of chemotherapy to breast milk. Our aim was to predict chemotherapy distribution to breast milk in a more realistic breastfeeding population and evaluate the effect of discarding breast milk on the potential chemotherapy exposure in infants. METHODS: We developed a population pharmacokinetic model that described the breast milk production and the chemotherapy distribution to breast milk of a non-breastfeeding population, linked it to plasma pharmacokinetics, and extrapolated this to a breastfeeding population. RESULTS: We found that cumulative relative infant doses (RID) were higher than 10% for cyclophosphamide and doxorubicin and approximately 1% for paclitaxel. Simulations allowed us to predict the cumulative RID and its variability in the population for patients with different milk productions and the amount of breast milk that has to be discarded to reach cumulative RIDs below 1%, 0.1%, and 0.01%. Discarding 1–2, 3–6, and 0–1 days of breast milk (depending on the milk production of the patient) resulted in cumulative RID below 1% for cyclophosphamide, doxorubicin, and paclitaxel, respectively. CONCLUSION: Our results may help clinicians to derive the optimal breast milk discarding strategy for an individual patient that wants to breastfeed during chemotherapy and minimize chemotherapy exposure in their infants. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40262-023-01251-5. |
format | Online Article Text |
id | pubmed-10338611 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-103386112023-07-14 Predicting Chemotherapy Distribution into Breast Milk for Breastfeeding Women Using a Population Pharmacokinetic Approach Damoiseaux, David Centanni, Daniel Beijnen, Jos H. Amant, Frédéric Huitema, Alwin D. R. Dorlo, Thomas P. C. Clin Pharmacokinet Original Research Article BACKGROUND AND OBJECTIVE: Information on the distribution of chemotherapeutic drugs to breast milk is scarce, and reports are limited to small sample sizes. Anecdotal pharmacokinetic data have typically been acquired from lactating but non-breastfeeding patients who collect breast milk by means of an expression pump, which might not necessarily be representative for a breastfeeding population due to differences in milk production. Consequently, little is known about the variability of chemotherapy distribution to breast milk and the effect of milk production on the distribution of chemotherapy to breast milk. Our aim was to predict chemotherapy distribution to breast milk in a more realistic breastfeeding population and evaluate the effect of discarding breast milk on the potential chemotherapy exposure in infants. METHODS: We developed a population pharmacokinetic model that described the breast milk production and the chemotherapy distribution to breast milk of a non-breastfeeding population, linked it to plasma pharmacokinetics, and extrapolated this to a breastfeeding population. RESULTS: We found that cumulative relative infant doses (RID) were higher than 10% for cyclophosphamide and doxorubicin and approximately 1% for paclitaxel. Simulations allowed us to predict the cumulative RID and its variability in the population for patients with different milk productions and the amount of breast milk that has to be discarded to reach cumulative RIDs below 1%, 0.1%, and 0.01%. Discarding 1–2, 3–6, and 0–1 days of breast milk (depending on the milk production of the patient) resulted in cumulative RID below 1% for cyclophosphamide, doxorubicin, and paclitaxel, respectively. CONCLUSION: Our results may help clinicians to derive the optimal breast milk discarding strategy for an individual patient that wants to breastfeed during chemotherapy and minimize chemotherapy exposure in their infants. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40262-023-01251-5. Springer International Publishing 2023-05-08 2023 /pmc/articles/PMC10338611/ /pubmed/37154994 http://dx.doi.org/10.1007/s40262-023-01251-5 Text en © The Author(s) 2023, corrected publication 2023 https://creativecommons.org/licenses/by-nc/4.0/Open AccessThis article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Original Research Article Damoiseaux, David Centanni, Daniel Beijnen, Jos H. Amant, Frédéric Huitema, Alwin D. R. Dorlo, Thomas P. C. Predicting Chemotherapy Distribution into Breast Milk for Breastfeeding Women Using a Population Pharmacokinetic Approach |
title | Predicting Chemotherapy Distribution into Breast Milk for Breastfeeding Women Using a Population Pharmacokinetic Approach |
title_full | Predicting Chemotherapy Distribution into Breast Milk for Breastfeeding Women Using a Population Pharmacokinetic Approach |
title_fullStr | Predicting Chemotherapy Distribution into Breast Milk for Breastfeeding Women Using a Population Pharmacokinetic Approach |
title_full_unstemmed | Predicting Chemotherapy Distribution into Breast Milk for Breastfeeding Women Using a Population Pharmacokinetic Approach |
title_short | Predicting Chemotherapy Distribution into Breast Milk for Breastfeeding Women Using a Population Pharmacokinetic Approach |
title_sort | predicting chemotherapy distribution into breast milk for breastfeeding women using a population pharmacokinetic approach |
topic | Original Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10338611/ https://www.ncbi.nlm.nih.gov/pubmed/37154994 http://dx.doi.org/10.1007/s40262-023-01251-5 |
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