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A precision medicine approach to metabolic therapy for breast cancer in mice

Increasing evidence highlights approaches targeting metabolism as potential adjuvants to cancer therapy. Sodium-glucose transport protein 2 (SGLT2) inhibitors are the newest class of antihyperglycemic drugs. To our knowledge, SGLT2 inhibitors have not been applied in the neoadjuvant setting as a pre...

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Autores principales: Akingbesote, Ngozi D., Norman, Aaron, Zhu, Wanling, Halberstam, Alexandra A., Zhang, Xinyi, Foldi, Julia, Lustberg, Maryam B., Perry, Rachel J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9122928/
https://www.ncbi.nlm.nih.gov/pubmed/35595952
http://dx.doi.org/10.1038/s42003-022-03422-9
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author Akingbesote, Ngozi D.
Norman, Aaron
Zhu, Wanling
Halberstam, Alexandra A.
Zhang, Xinyi
Foldi, Julia
Lustberg, Maryam B.
Perry, Rachel J.
author_facet Akingbesote, Ngozi D.
Norman, Aaron
Zhu, Wanling
Halberstam, Alexandra A.
Zhang, Xinyi
Foldi, Julia
Lustberg, Maryam B.
Perry, Rachel J.
author_sort Akingbesote, Ngozi D.
collection PubMed
description Increasing evidence highlights approaches targeting metabolism as potential adjuvants to cancer therapy. Sodium-glucose transport protein 2 (SGLT2) inhibitors are the newest class of antihyperglycemic drugs. To our knowledge, SGLT2 inhibitors have not been applied in the neoadjuvant setting as a precision medicine approach for this devastating disease. Here, we treat lean breast tumor-bearing mice with the SGLT2 inhibitor dapagliflozin as monotherapy and in combination with paclitaxel chemotherapy. We show that dapagliflozin enhances the efficacy of paclitaxel, reducing tumor glucose uptake and prolonging survival. Further, the ability of dapagliflozin to enhance the efficacy of chemotherapy correlates with its effect to reduce circulating insulin in some but not all breast tumors. Our data suggest a genetic signature for breast tumors more likely to respond to dapagliflozin in combination with paclitaxel. In the current study, tumors driven by mutations upstream of canonical insulin signaling pathways responded to this combined treatment, whereas tumors driven by mutations downstream of canonical insulin signaling did not. These data demonstrate that dapagliflozin enhances the response to chemotherapy in mice with breast cancer and suggest that patients with driver mutations upstream of canonical insulin signaling may be most likely to benefit from this neoadjuvant approach.
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spelling pubmed-91229282022-05-22 A precision medicine approach to metabolic therapy for breast cancer in mice Akingbesote, Ngozi D. Norman, Aaron Zhu, Wanling Halberstam, Alexandra A. Zhang, Xinyi Foldi, Julia Lustberg, Maryam B. Perry, Rachel J. Commun Biol Article Increasing evidence highlights approaches targeting metabolism as potential adjuvants to cancer therapy. Sodium-glucose transport protein 2 (SGLT2) inhibitors are the newest class of antihyperglycemic drugs. To our knowledge, SGLT2 inhibitors have not been applied in the neoadjuvant setting as a precision medicine approach for this devastating disease. Here, we treat lean breast tumor-bearing mice with the SGLT2 inhibitor dapagliflozin as monotherapy and in combination with paclitaxel chemotherapy. We show that dapagliflozin enhances the efficacy of paclitaxel, reducing tumor glucose uptake and prolonging survival. Further, the ability of dapagliflozin to enhance the efficacy of chemotherapy correlates with its effect to reduce circulating insulin in some but not all breast tumors. Our data suggest a genetic signature for breast tumors more likely to respond to dapagliflozin in combination with paclitaxel. In the current study, tumors driven by mutations upstream of canonical insulin signaling pathways responded to this combined treatment, whereas tumors driven by mutations downstream of canonical insulin signaling did not. These data demonstrate that dapagliflozin enhances the response to chemotherapy in mice with breast cancer and suggest that patients with driver mutations upstream of canonical insulin signaling may be most likely to benefit from this neoadjuvant approach. Nature Publishing Group UK 2022-05-20 /pmc/articles/PMC9122928/ /pubmed/35595952 http://dx.doi.org/10.1038/s42003-022-03422-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Akingbesote, Ngozi D.
Norman, Aaron
Zhu, Wanling
Halberstam, Alexandra A.
Zhang, Xinyi
Foldi, Julia
Lustberg, Maryam B.
Perry, Rachel J.
A precision medicine approach to metabolic therapy for breast cancer in mice
title A precision medicine approach to metabolic therapy for breast cancer in mice
title_full A precision medicine approach to metabolic therapy for breast cancer in mice
title_fullStr A precision medicine approach to metabolic therapy for breast cancer in mice
title_full_unstemmed A precision medicine approach to metabolic therapy for breast cancer in mice
title_short A precision medicine approach to metabolic therapy for breast cancer in mice
title_sort precision medicine approach to metabolic therapy for breast cancer in mice
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9122928/
https://www.ncbi.nlm.nih.gov/pubmed/35595952
http://dx.doi.org/10.1038/s42003-022-03422-9
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