Literature DB >> 29224780

A Living Biobank of Breast Cancer Organoids Captures Disease Heterogeneity.

Norman Sachs1, Joep de Ligt2, Oded Kopper3, Ewa Gogola4, Gergana Bounova5, Fleur Weeber6, Anjali Vanita Balgobind7, Karin Wind8, Ana Gracanin8, Harry Begthel8, Jeroen Korving8, Ruben van Boxtel2, Alexandra Alves Duarte4, Daphne Lelieveld9, Arne van Hoeck2, Robert Frans Ernst2, Francis Blokzijl2, Isaac Johannes Nijman2, Marlous Hoogstraat10, Marieke van de Ven11, David Anthony Egan9, Vittoria Zinzalla12, Jurgen Moll12, Sylvia Fernandez Boj13, Emile Eugene Voest6, Lodewyk Wessels14, Paul Joannes van Diest15, Sven Rottenberg16, Robert Gerhardus Jacob Vries13, Edwin Cuppen2, Hans Clevers17.   

Abstract

Breast cancer (BC) comprises multiple distinct subtypes that differ genetically, pathologically, and clinically. Here, we describe a robust protocol for long-term culturing of human mammary epithelial organoids. Using this protocol, >100 primary and metastatic BC organoid lines were generated, broadly recapitulating the diversity of the disease. BC organoid morphologies typically matched the histopathology, hormone receptor status, and HER2 status of the original tumor. DNA copy number variations as well as sequence changes were consistent within tumor-organoid pairs and largely retained even after extended passaging. BC organoids furthermore populated all major gene-expression-based classification groups and allowed in vitro drug screens that were consistent with in vivo xeno-transplantations and patient response. This study describes a representative collection of well-characterized BC organoids available for cancer research and drug development, as well as a strategy to assess in vitro drug response in a personalized fashion.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  basal; biobank; breast cancer; luminal; organoids; precision medicine; triple negative

Mesh:

Substances:

Year:  2017        PMID: 29224780     DOI: 10.1016/j.cell.2017.11.010

Source DB:  PubMed          Journal:  Cell        ISSN: 0092-8674            Impact factor:   41.582


  434 in total

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Review 2.  Organ-on-a-Chip for Cancer and Immune Organs Modeling.

Authors:  Wujin Sun; Zhimin Luo; Junmin Lee; Han-Jun Kim; KangJu Lee; Peyton Tebon; Yudi Feng; Mehmet R Dokmeci; Shiladitya Sengupta; Ali Khademhosseini
Journal:  Adv Healthc Mater       Date:  2019-01-03       Impact factor: 9.933

3.  Generation and Characterization of Patient-Derived Head and Neck, Oral, and Esophageal Cancer Organoids.

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Journal:  Curr Protoc Stem Cell Biol       Date:  2020-06

4.  Sporadic activation of an oxidative stress-dependent NRF2-p53 signaling network in breast epithelial spheroids and premalignancies.

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Journal:  Sci Signal       Date:  2020-04-14       Impact factor: 8.192

Review 5.  Biomaterials and Culture Systems for Development of Organoid and Organ-on-a-Chip Models.

Authors:  Katya D'Costa; Milena Kosic; Angus Lam; Azeen Moradipour; Yimu Zhao; Milica Radisic
Journal:  Ann Biomed Eng       Date:  2020-04-13       Impact factor: 3.934

Review 6.  Environmental exposures, stem cells, and cancer.

Authors:  Tasha Thong; Chanese A Forté; Evan M Hill; Justin A Colacino
Journal:  Pharmacol Ther       Date:  2019-07-31       Impact factor: 12.310

Review 7.  Studying Adipose Tissue in the Breast Tumor Microenvironment In Vitro: Progress and Opportunities.

Authors:  David Mertz; Jason Sentosa; Gary Luker; Shuichi Takayama
Journal:  Tissue Eng Regen Med       Date:  2020-09-16       Impact factor: 4.169

Review 8.  Harnessing Tumor Evolution to Circumvent Resistance.

Authors:  Katherine L Pogrebniak; Christina Curtis
Journal:  Trends Genet       Date:  2018-06-11       Impact factor: 11.639

Review 9.  Personalized Cancer Models for Target Discovery and Precision Medicine.

Authors:  Carla Grandori; Christopher J Kemp
Journal:  Trends Cancer       Date:  2018-08-08

Review 10.  Organoids as Complex In Vitro Models for Studying Radiation-Induced Cell Recruitment.

Authors:  Benjamin C Hacker; Marjan Rafat
Journal:  Cell Mol Bioeng       Date:  2020-06-15       Impact factor: 2.321

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