Supplementary Data from Patient-Derived Triple-Negative Breast Cancer Organoids Provide Robust Model Systems That Recapitulate Tumor Intrinsic Characteristics Article Swipe

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Sonam Bhatia , Melissa Kramer , Suzanne Russo , Payal Naik , Gayatri Arun , Kyle Brophy , Peter W. Andrews , Cheng Fan , Charles M. Perou , Jonathan Preall , Taehoon Ha , Dennis Plenker , David A. Tuveson , Arvind Rishi , John E. Wilkinson , W. Richard McCombie , Karen Kostroff , David L. Spector ·

YOU? · · 2023 · Open Access · · DOI: https://doi.org/10.1158/0008-5472.22431381.v1

Supplementary Data from Patient-Derived Triple-Negative Breast Cancer Organoids Provide Robust Model Systems That Recapitulate Tumor Intrinsic Characteristics

Related Topics

Organoid

Triple-Negative Breast Cancer

Breast Cancer

Cancer

Medicine

Computational Biology

Concepts

Organoid Triple-negative breast cancer Breast cancer Cancer Breast tumor Cancer research Medicine Computational biology Biology Computer science Internal medicine Neuroscience

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Type: preprint
Language: en
Landing Page: https://doi.org/10.1158/0008-5472.22431381.v1
OA Status: gold
Related Works: 10
OpenAlex ID: https://openalex.org/W4362424979

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DOI: https://doi.org/10.1158/0008-5472.22431381.v1

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Title: Supplementary Data from Patient-Derived Triple-Negative Breast Cancer Organoids Provide Robust Model Systems That Recapitulate Tumor Intrinsic Characteristics

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Type: preprint

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Language: en

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Publication year: 2023

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Publication date: 2023-03-31

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Authors: Sonam Bhatia, Melissa Kramer, Suzanne Russo, Payal Naik, Gayatri Arun, Kyle Brophy, Peter W. Andrews, Cheng Fan, Charles M. Perou, Jonathan Preall, Taehoon Ha, Dennis Plenker, David A. Tuveson, Arvind Rishi, John E. Wilkinson, W. Richard McCombie, Karen Kostroff, David L. Spector

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Landing page: https://doi.org/10.1158/0008-5472.22431381.v1

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OA status: gold

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OA URL: https://doi.org/10.1158/0008-5472.22431381.v1

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Concepts: Organoid, Triple-negative breast cancer, Breast cancer, Cancer, Breast tumor, Cancer research, Medicine, Computational biology, Biology, Computer science, Internal medicine, Neuroscience

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Cited by: 0

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