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Subcellular partitioning of Kaiso (ZBTB33) as a biomarker to predict overall breast cancer survival.

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Year: 2020
Type: conference-abstract
Source: Journal of Clinical Oncology
DOI: 10.1200/jco.2020.38.15_suppl.3534
Authors: Sandeep K Singhal, Donald Sens, Mary Ann Sens, Jung Byun, Ryan Yancey, Ambar Caban, Heike Boisvert, Stephanie Hennek, Mark Bobrow, Shakir Ahmed, Jason White, Andrew Aukerman, Clayton Yates, Rami Vanguri, Rohan Bareja, Romina Lenci, Adriana De Siervi, Anna Napoles, Nasreen A. Vohra, Kevin Gardner
Institutions: University of North Dakota, National Institutes of Health, Columbia University Irving Medical Center, Columbia University, Tuskegee University, Consejo Nacional de Investigaciones Científicas y Técnicas, Experimental Medicine and Biology Institute, East Carolina University
Language: English

Topic: Breast Cancer Treatment Studies
Subfield: Cancer Research
Field: Biochemistry, Genetics and Molecular Biology
Domain: Life Sciences
SDG: Good health and well-being

Open Access status: closed
OpenAlex ID: W3028844296
Cites:
Cited by: 3
Related to: 10
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