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Constitutive BAK/MCL1 complexes predict paclitaxel and S63845 sensitivity of ovarian cancer

We previously found that preformed complexes of BAK with antiapoptotic BCL2 proteins predict BH3 mimetic sensitivities in lymphohematopoietic cells. These complexes have not previously been examined in solid tumors or in the context of conventional anticancer drugs. Here we show the relative amount...

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Autores principales: Liu, Dongyan, Hou, Xiaonan, Wu, Wangyu, Zanfagnin, Valentina, Li, Yunjian, Correia, Cristina, Zhao, Zhiyang, Zhao, Chenggang, Liu, Zhirong, Zhang, Tao, Fang, Zhiyou, Wang, Hongzhi, Xu, Chao, Weroha, Saravut J., Kaufmann, Scott H., Dai, Haiming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8361168/
https://www.ncbi.nlm.nih.gov/pubmed/34385422
http://dx.doi.org/10.1038/s41419-021-04073-0
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author Liu, Dongyan
Hou, Xiaonan
Wu, Wangyu
Zanfagnin, Valentina
Li, Yunjian
Correia, Cristina
Zhao, Zhiyang
Zhao, Chenggang
Liu, Zhirong
Zhang, Tao
Fang, Zhiyou
Wang, Hongzhi
Xu, Chao
Weroha, Saravut J.
Kaufmann, Scott H.
Dai, Haiming
author_facet Liu, Dongyan
Hou, Xiaonan
Wu, Wangyu
Zanfagnin, Valentina
Li, Yunjian
Correia, Cristina
Zhao, Zhiyang
Zhao, Chenggang
Liu, Zhirong
Zhang, Tao
Fang, Zhiyou
Wang, Hongzhi
Xu, Chao
Weroha, Saravut J.
Kaufmann, Scott H.
Dai, Haiming
author_sort Liu, Dongyan
collection PubMed
description We previously found that preformed complexes of BAK with antiapoptotic BCL2 proteins predict BH3 mimetic sensitivities in lymphohematopoietic cells. These complexes have not previously been examined in solid tumors or in the context of conventional anticancer drugs. Here we show the relative amount of BAK found in preformed complexes with MCL1 or BCLX(L) varies across ovarian cancer cell lines and patient-derived xenografts (PDXs). Cells bearing BAK/MCL1 complexes were more sensitive to paclitaxel and the MCL1 antagonist S63845. Likewise, PDX models with BAK/MCL1 complexes were more likely to respond to paclitaxel. Mechanistically, BIM induced by low paclitaxel concentrations interacted preferentially with MCL1 and displaced MCL1-bound BAK. Further studies indicated that cells with preformed BAK/MCL1 complexes were sensitive to the paclitaxel/S63845 combination, while cells without BAK/MCL1 complexes were not. Our study suggested that the assessment of BAK/MCL1 complexes might be useful for predicting response to paclitaxel alone or in combination with BH3 mimetics.
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spelling pubmed-83611682021-08-19 Constitutive BAK/MCL1 complexes predict paclitaxel and S63845 sensitivity of ovarian cancer Liu, Dongyan Hou, Xiaonan Wu, Wangyu Zanfagnin, Valentina Li, Yunjian Correia, Cristina Zhao, Zhiyang Zhao, Chenggang Liu, Zhirong Zhang, Tao Fang, Zhiyou Wang, Hongzhi Xu, Chao Weroha, Saravut J. Kaufmann, Scott H. Dai, Haiming Cell Death Dis Article We previously found that preformed complexes of BAK with antiapoptotic BCL2 proteins predict BH3 mimetic sensitivities in lymphohematopoietic cells. These complexes have not previously been examined in solid tumors or in the context of conventional anticancer drugs. Here we show the relative amount of BAK found in preformed complexes with MCL1 or BCLX(L) varies across ovarian cancer cell lines and patient-derived xenografts (PDXs). Cells bearing BAK/MCL1 complexes were more sensitive to paclitaxel and the MCL1 antagonist S63845. Likewise, PDX models with BAK/MCL1 complexes were more likely to respond to paclitaxel. Mechanistically, BIM induced by low paclitaxel concentrations interacted preferentially with MCL1 and displaced MCL1-bound BAK. Further studies indicated that cells with preformed BAK/MCL1 complexes were sensitive to the paclitaxel/S63845 combination, while cells without BAK/MCL1 complexes were not. Our study suggested that the assessment of BAK/MCL1 complexes might be useful for predicting response to paclitaxel alone or in combination with BH3 mimetics. Nature Publishing Group UK 2021-08-12 /pmc/articles/PMC8361168/ /pubmed/34385422 http://dx.doi.org/10.1038/s41419-021-04073-0 Text en © The Author(s) 2021, corrected publication 2021 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
Liu, Dongyan
Hou, Xiaonan
Wu, Wangyu
Zanfagnin, Valentina
Li, Yunjian
Correia, Cristina
Zhao, Zhiyang
Zhao, Chenggang
Liu, Zhirong
Zhang, Tao
Fang, Zhiyou
Wang, Hongzhi
Xu, Chao
Weroha, Saravut J.
Kaufmann, Scott H.
Dai, Haiming
Constitutive BAK/MCL1 complexes predict paclitaxel and S63845 sensitivity of ovarian cancer
title Constitutive BAK/MCL1 complexes predict paclitaxel and S63845 sensitivity of ovarian cancer
title_full Constitutive BAK/MCL1 complexes predict paclitaxel and S63845 sensitivity of ovarian cancer
title_fullStr Constitutive BAK/MCL1 complexes predict paclitaxel and S63845 sensitivity of ovarian cancer
title_full_unstemmed Constitutive BAK/MCL1 complexes predict paclitaxel and S63845 sensitivity of ovarian cancer
title_short Constitutive BAK/MCL1 complexes predict paclitaxel and S63845 sensitivity of ovarian cancer
title_sort constitutive bak/mcl1 complexes predict paclitaxel and s63845 sensitivity of ovarian cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8361168/
https://www.ncbi.nlm.nih.gov/pubmed/34385422
http://dx.doi.org/10.1038/s41419-021-04073-0
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