Kaiso (ZBTB33) subcellular partitioning functionally links LC3A/B, the tumor microenvironment, and breast cancer survival

Autores
Singhal, Sandeep K.; Byun, Jung S.; Park, Samson; Yan, Tingfen; Yancey, Ryan; Caban, Ambar; Hernandez, Sara Gil; Hewitt, Stephen M.; Boisvert, Heike; Hennek, Stephanie; Bobrow, Mark; Ahmed, Md Shakir Uddin; White, Jason; Yates, Clayton; Aukerman, Andrew; Vanguri, Rami; Bareja, Rohan; Lenci, Romina; Farré, Paula Lucía; de Siervi, Adriana; Nápoles, Anna María; Vohra, Nasreen; Gardner, Kevin
Año de publicación
2021
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The use of digital pathology for the histomorphologic profiling of pathological specimens is expanding the precision and specificity of quantitative tissue analysis at an unprecedented scale; thus, enabling the discovery of new and functionally relevant histological features of both predictive and prognostic significance. In this study, we apply quantitative automated image processing and computational methods to profile the subcellular distribution of the multi-functional transcriptional regulator, Kaiso (ZBTB33), in the tumors of a large racially diverse breast cancer cohort from a designated health disparities region in the United States. Multiplex multivariate analysis of the association of Kaiso’s subcellular distribution with other breast cancer biomarkers reveals novel functional and predictive linkages between Kaiso and the autophagy-related proteins, LC3A/B, that are associated with features of the tumor immune microenvironment, survival, and race. These findings identify effective modalities of Kaiso biomarker assessment and uncover unanticipated insights into Kaiso’s role in breast cancer progression.
Fil: Singhal, Sandeep K.. North Dakota State University; Estados Unidos
Fil: Byun, Jung S.. National Institutes of Health; Estados Unidos
Fil: Park, Samson. National Institutes of Health; Estados Unidos
Fil: Yan, Tingfen. National Institutes of Health; Estados Unidos
Fil: Yancey, Ryan. Columbia University; Estados Unidos
Fil: Caban, Ambar. Columbia University; Estados Unidos
Fil: Hernandez, Sara Gil. National Institutes of Health; Estados Unidos
Fil: Hewitt, Stephen M.. U.S. Department of Health & Human Services. National Institute of Health. National Cancer Institute; Estados Unidos
Fil: Boisvert, Heike. Ultivue, Inc; Reino Unido
Fil: Hennek, Stephanie. Ultivue Inc.; Reino Unido
Fil: Bobrow, Mark. Ultivue Inc.; Reino Unido
Fil: Ahmed, Md Shakir Uddin. Tuskegee University; Estados Unidos
Fil: White, Jason. Tuskegee University; Estados Unidos
Fil: Yates, Clayton. Tuskegee University; Estados Unidos
Fil: Aukerman, Andrew. Columbia University; Estados Unidos
Fil: Vanguri, Rami. Columbia University; Estados Unidos
Fil: Bareja, Rohan. Columbia University; Estados Unidos
Fil: Lenci, Romina. Columbia University; Estados Unidos
Fil: Farré, Paula Lucía. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Biología y Medicina Experimental. Fundación de Instituto de Biología y Medicina Experimental. Instituto de Biología y Medicina Experimental; Argentina
Fil: de Siervi, Adriana. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Biología y Medicina Experimental. Fundación de Instituto de Biología y Medicina Experimental. Instituto de Biología y Medicina Experimental; Argentina
Fil: Nápoles, Anna María. National Institutes of Health; Estados Unidos
Fil: Vohra, Nasreen. East Carolina University; Estados Unidos
Fil: Gardner, Kevin. Columbia University; Estados Unidos
Materia
KAISO
CANCER DE MAMA
BREAST NEOPLASMS
CELL LINE TUMOR
MICROTUBULE ASSOCIATED PROTEINS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/140160
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/140160
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Kaiso (ZBTB33) subcellular partitioning functionally links LC3A/B, the tumor microenvironment, and breast cancer survivalSinghal, Sandeep K.Byun, Jung S.Park, SamsonYan, TingfenYancey, RyanCaban, AmbarHernandez, Sara GilHewitt, Stephen M.Boisvert, HeikeHennek, StephanieBobrow, MarkAhmed, Md Shakir UddinWhite, JasonYates, ClaytonAukerman, AndrewVanguri, RamiBareja, RohanLenci, RominaFarré, Paula Lucíade Siervi, AdrianaNápoles, Anna MaríaVohra, NasreenGardner, KevinKAISOCANCER DE MAMABREAST NEOPLASMSCELL LINE TUMORMICROTUBULE ASSOCIATED PROTEINShttps://purl.org/becyt/ford/3.1https://purl.org/becyt/ford/3The use of digital pathology for the histomorphologic profiling of pathological specimens is expanding the precision and specificity of quantitative tissue analysis at an unprecedented scale; thus, enabling the discovery of new and functionally relevant histological features of both predictive and prognostic significance. In this study, we apply quantitative automated image processing and computational methods to profile the subcellular distribution of the multi-functional transcriptional regulator, Kaiso (ZBTB33), in the tumors of a large racially diverse breast cancer cohort from a designated health disparities region in the United States. Multiplex multivariate analysis of the association of Kaiso’s subcellular distribution with other breast cancer biomarkers reveals novel functional and predictive linkages between Kaiso and the autophagy-related proteins, LC3A/B, that are associated with features of the tumor immune microenvironment, survival, and race. These findings identify effective modalities of Kaiso biomarker assessment and uncover unanticipated insights into Kaiso’s role in breast cancer progression.Fil: Singhal, Sandeep K.. North Dakota State University; Estados UnidosFil: Byun, Jung S.. National Institutes of Health; Estados UnidosFil: Park, Samson. National Institutes of Health; Estados UnidosFil: Yan, Tingfen. National Institutes of Health; Estados UnidosFil: Yancey, Ryan. Columbia University; Estados UnidosFil: Caban, Ambar. Columbia University; Estados UnidosFil: Hernandez, Sara Gil. National Institutes of Health; Estados UnidosFil: Hewitt, Stephen M.. U.S. Department of Health & Human Services. National Institute of Health. National Cancer Institute; Estados UnidosFil: Boisvert, Heike. Ultivue, Inc; Reino UnidoFil: Hennek, Stephanie. Ultivue Inc.; Reino UnidoFil: Bobrow, Mark. Ultivue Inc.; Reino UnidoFil: Ahmed, Md Shakir Uddin. Tuskegee University; Estados UnidosFil: White, Jason. Tuskegee University; Estados UnidosFil: Yates, Clayton. Tuskegee University; Estados UnidosFil: Aukerman, Andrew. Columbia University; Estados UnidosFil: Vanguri, Rami. Columbia University; Estados UnidosFil: Bareja, Rohan. Columbia University; Estados UnidosFil: Lenci, Romina. Columbia University; Estados UnidosFil: Farré, Paula Lucía. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Biología y Medicina Experimental. Fundación de Instituto de Biología y Medicina Experimental. Instituto de Biología y Medicina Experimental; ArgentinaFil: de Siervi, Adriana. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Biología y Medicina Experimental. Fundación de Instituto de Biología y Medicina Experimental. Instituto de Biología y Medicina Experimental; ArgentinaFil: Nápoles, Anna María. National Institutes of Health; Estados UnidosFil: Vohra, Nasreen. East Carolina University; Estados UnidosFil: Gardner, Kevin. Columbia University; Estados UnidosNature Research2021-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/140160Singhal, Sandeep K.; Byun, Jung S.; Park, Samson; Yan, Tingfen; Yancey, Ryan; et al.; Kaiso (ZBTB33) subcellular partitioning functionally links LC3A/B, the tumor microenvironment, and breast cancer survival; Nature Research; Communications Biology; 4; 1; 12-2021; 1-132399-3642CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.nature.com/articles/s42003-021-01651-yinfo:eu-repo/semantics/altIdentifier/doi/10.1038/s42003-021-01651-yinfo:eu-repo/semantics/altIdentifier/pmid/https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7851134/info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:07:44Zoai:ri.conicet.gov.ar:11336/140160instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 10:07:44.399CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Kaiso (ZBTB33) subcellular partitioning functionally links LC3A/B, the tumor microenvironment, and breast cancer survival
title Kaiso (ZBTB33) subcellular partitioning functionally links LC3A/B, the tumor microenvironment, and breast cancer survival
spellingShingle Kaiso (ZBTB33) subcellular partitioning functionally links LC3A/B, the tumor microenvironment, and breast cancer survival
Singhal, Sandeep K.
KAISO
CANCER DE MAMA
BREAST NEOPLASMS
CELL LINE TUMOR
MICROTUBULE ASSOCIATED PROTEINS
title_short Kaiso (ZBTB33) subcellular partitioning functionally links LC3A/B, the tumor microenvironment, and breast cancer survival
title_full Kaiso (ZBTB33) subcellular partitioning functionally links LC3A/B, the tumor microenvironment, and breast cancer survival
title_fullStr Kaiso (ZBTB33) subcellular partitioning functionally links LC3A/B, the tumor microenvironment, and breast cancer survival
title_full_unstemmed Kaiso (ZBTB33) subcellular partitioning functionally links LC3A/B, the tumor microenvironment, and breast cancer survival
title_sort Kaiso (ZBTB33) subcellular partitioning functionally links LC3A/B, the tumor microenvironment, and breast cancer survival
dc.creator.none.fl_str_mv Singhal, Sandeep K.
Byun, Jung S.
Park, Samson
Yan, Tingfen
Yancey, Ryan
Caban, Ambar
Hernandez, Sara Gil
Hewitt, Stephen M.
Boisvert, Heike
Hennek, Stephanie
Bobrow, Mark
Ahmed, Md Shakir Uddin
White, Jason
Yates, Clayton
Aukerman, Andrew
Vanguri, Rami
Bareja, Rohan
Lenci, Romina
Farré, Paula Lucía
de Siervi, Adriana
Nápoles, Anna María
Vohra, Nasreen
Gardner, Kevin
author Singhal, Sandeep K.
author_facet Singhal, Sandeep K.
Byun, Jung S.
Park, Samson
Yan, Tingfen
Yancey, Ryan
Caban, Ambar
Hernandez, Sara Gil
Hewitt, Stephen M.
Boisvert, Heike
Hennek, Stephanie
Bobrow, Mark
Ahmed, Md Shakir Uddin
White, Jason
Yates, Clayton
Aukerman, Andrew
Vanguri, Rami
Bareja, Rohan
Lenci, Romina
Farré, Paula Lucía
de Siervi, Adriana
Nápoles, Anna María
Vohra, Nasreen
Gardner, Kevin
author_role author
author2 Byun, Jung S.
Park, Samson
Yan, Tingfen
Yancey, Ryan
Caban, Ambar
Hernandez, Sara Gil
Hewitt, Stephen M.
Boisvert, Heike
Hennek, Stephanie
Bobrow, Mark
Ahmed, Md Shakir Uddin
White, Jason
Yates, Clayton
Aukerman, Andrew
Vanguri, Rami
Bareja, Rohan
Lenci, Romina
Farré, Paula Lucía
de Siervi, Adriana
Nápoles, Anna María
Vohra, Nasreen
Gardner, Kevin
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv KAISO
CANCER DE MAMA
BREAST NEOPLASMS
CELL LINE TUMOR
MICROTUBULE ASSOCIATED PROTEINS
topic KAISO
CANCER DE MAMA
BREAST NEOPLASMS
CELL LINE TUMOR
MICROTUBULE ASSOCIATED PROTEINS
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.1
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv The use of digital pathology for the histomorphologic profiling of pathological specimens is expanding the precision and specificity of quantitative tissue analysis at an unprecedented scale; thus, enabling the discovery of new and functionally relevant histological features of both predictive and prognostic significance. In this study, we apply quantitative automated image processing and computational methods to profile the subcellular distribution of the multi-functional transcriptional regulator, Kaiso (ZBTB33), in the tumors of a large racially diverse breast cancer cohort from a designated health disparities region in the United States. Multiplex multivariate analysis of the association of Kaiso’s subcellular distribution with other breast cancer biomarkers reveals novel functional and predictive linkages between Kaiso and the autophagy-related proteins, LC3A/B, that are associated with features of the tumor immune microenvironment, survival, and race. These findings identify effective modalities of Kaiso biomarker assessment and uncover unanticipated insights into Kaiso’s role in breast cancer progression.
Fil: Singhal, Sandeep K.. North Dakota State University; Estados Unidos
Fil: Byun, Jung S.. National Institutes of Health; Estados Unidos
Fil: Park, Samson. National Institutes of Health; Estados Unidos
Fil: Yan, Tingfen. National Institutes of Health; Estados Unidos
Fil: Yancey, Ryan. Columbia University; Estados Unidos
Fil: Caban, Ambar. Columbia University; Estados Unidos
Fil: Hernandez, Sara Gil. National Institutes of Health; Estados Unidos
Fil: Hewitt, Stephen M.. U.S. Department of Health & Human Services. National Institute of Health. National Cancer Institute; Estados Unidos
Fil: Boisvert, Heike. Ultivue, Inc; Reino Unido
Fil: Hennek, Stephanie. Ultivue Inc.; Reino Unido
Fil: Bobrow, Mark. Ultivue Inc.; Reino Unido
Fil: Ahmed, Md Shakir Uddin. Tuskegee University; Estados Unidos
Fil: White, Jason. Tuskegee University; Estados Unidos
Fil: Yates, Clayton. Tuskegee University; Estados Unidos
Fil: Aukerman, Andrew. Columbia University; Estados Unidos
Fil: Vanguri, Rami. Columbia University; Estados Unidos
Fil: Bareja, Rohan. Columbia University; Estados Unidos
Fil: Lenci, Romina. Columbia University; Estados Unidos
Fil: Farré, Paula Lucía. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Biología y Medicina Experimental. Fundación de Instituto de Biología y Medicina Experimental. Instituto de Biología y Medicina Experimental; Argentina
Fil: de Siervi, Adriana. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Biología y Medicina Experimental. Fundación de Instituto de Biología y Medicina Experimental. Instituto de Biología y Medicina Experimental; Argentina
Fil: Nápoles, Anna María. National Institutes of Health; Estados Unidos
Fil: Vohra, Nasreen. East Carolina University; Estados Unidos
Fil: Gardner, Kevin. Columbia University; Estados Unidos
description The use of digital pathology for the histomorphologic profiling of pathological specimens is expanding the precision and specificity of quantitative tissue analysis at an unprecedented scale; thus, enabling the discovery of new and functionally relevant histological features of both predictive and prognostic significance. In this study, we apply quantitative automated image processing and computational methods to profile the subcellular distribution of the multi-functional transcriptional regulator, Kaiso (ZBTB33), in the tumors of a large racially diverse breast cancer cohort from a designated health disparities region in the United States. Multiplex multivariate analysis of the association of Kaiso’s subcellular distribution with other breast cancer biomarkers reveals novel functional and predictive linkages between Kaiso and the autophagy-related proteins, LC3A/B, that are associated with features of the tumor immune microenvironment, survival, and race. These findings identify effective modalities of Kaiso biomarker assessment and uncover unanticipated insights into Kaiso’s role in breast cancer progression.
publishDate 2021
dc.date.none.fl_str_mv 2021-12
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/140160
Singhal, Sandeep K.; Byun, Jung S.; Park, Samson; Yan, Tingfen; Yancey, Ryan; et al.; Kaiso (ZBTB33) subcellular partitioning functionally links LC3A/B, the tumor microenvironment, and breast cancer survival; Nature Research; Communications Biology; 4; 1; 12-2021; 1-13
2399-3642
CONICET Digital
CONICET
url http://hdl.handle.net/11336/140160
identifier_str_mv Singhal, Sandeep K.; Byun, Jung S.; Park, Samson; Yan, Tingfen; Yancey, Ryan; et al.; Kaiso (ZBTB33) subcellular partitioning functionally links LC3A/B, the tumor microenvironment, and breast cancer survival; Nature Research; Communications Biology; 4; 1; 12-2021; 1-13
2399-3642
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.nature.com/articles/s42003-021-01651-y
info:eu-repo/semantics/altIdentifier/doi/10.1038/s42003-021-01651-y
info:eu-repo/semantics/altIdentifier/pmid/https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7851134/
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Nature Research
publisher.none.fl_str_mv Nature Research
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.13397

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