Literature DB >> 34916221

An In Vivo CRISPR Screen Identifies Stepwise Genetic Dependencies of Metastatic Progression.

Manuel C Scheidmann1, Francesc Castro-Giner1,2,3, Karin Strittmatter1,2, Ilona Krol1,2, Aino Paasinen-Sohns1, Ramona Scherrer1, Cinzia Donato1, Sofia Gkountela1, Barbara M Szczerba1, Zoi Diamantopoulou1,2, Simone Muenst4, Tatjana Vlajnic4, Leo Kunz5, Marcus Vetter6, Christoph Rochlitz6, Verdon Taylor7, Claudio Giachino7, Timm Schroeder5, Randall J Platt5, Nicola Aceto1,2.   

Abstract

Blood-borne metastasis of breast cancer involves a series of tightly regulated sequential steps, including the growth of a primary tumor lesion, intravasation of circulating tumor cells (CTC), and adaptation in various distant metastatic sites. The genes orchestrating each of these steps are poorly understood in physiologically relevant contexts, owing to the rarity of experimental models that faithfully recapitulate the biology, growth kinetics, and tropism of human breast cancer. Here, we conducted an in vivo loss-of-function CRISPR screen in newly derived CTC xenografts, unique in their ability to spontaneously mirror the human disease, and identified specific genetic dependencies for each step of the metastatic process. Validation experiments revealed sensitivities to inhibitors that are already available, such as PLK1 inhibitors, to prevent CTC intravasation. Together, these findings present a new tool to reclassify driver genes involved in the spread of human cancer, providing insights into the biology of metastasis and paving the way to test targeted treatment approaches. SIGNIFICANCE: A loss-of-function CRISPR screen in human CTC-derived xenografts identifies genes critical for individual steps of the metastatic cascade, suggesting novel drivers and treatment opportunities for metastatic breast cancers. ©2021 The Authors; Published by the American Association for Cancer Research.

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Year:  2022        PMID: 34916221      PMCID: PMC7612409          DOI: 10.1158/0008-5472.CAN-21-3908

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  41 in total

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Authors:  Catherine Alix-Panabières; Klaus Pantel
Journal:  Nat Rev Cancer       Date:  2014-07-31       Impact factor: 60.716

Review 2.  Tumor metastasis: molecular insights and evolving paradigms.

Authors:  Scott Valastyan; Robert A Weinberg
Journal:  Cell       Date:  2011-10-14       Impact factor: 41.582

3.  STAR: ultrafast universal RNA-seq aligner.

Authors:  Alexander Dobin; Carrie A Davis; Felix Schlesinger; Jorg Drenkow; Chris Zaleski; Sonali Jha; Philippe Batut; Mark Chaisson; Thomas R Gingeras
Journal:  Bioinformatics       Date:  2012-10-25       Impact factor: 6.937

4.  Longitudinally collected CTCs and CTC-clusters and clinical outcomes of metastatic breast cancer.

Authors:  Chun Wang; Zhaomei Mu; Inna Chervoneva; Laura Austin; Zhong Ye; Giovanna Rossi; Juan P Palazzo; Carl Sun; Maysa Abu-Khalaf; Ronald E Myers; Zhu Zhu; Yanna Ba; Bingshan Li; Lifang Hou; Massimo Cristofanilli; Hushan Yang
Journal:  Breast Cancer Res Treat       Date:  2016-10-22       Impact factor: 4.872

Review 5.  PLK1, A Potential Target for Cancer Therapy.

Authors:  Zhixian Liu; Qingrong Sun; Xiaosheng Wang
Journal:  Transl Oncol       Date:  2016-11-24       Impact factor: 4.243

6.  A CRISPR/Cas9 Functional Screen Identifies Rare Tumor Suppressors.

Authors:  Alexandra Katigbak; Regina Cencic; Francis Robert; Patrick Sénécha; Claudio Scuoppo; Jerry Pelletier
Journal:  Sci Rep       Date:  2016-12-16       Impact factor: 4.379

7.  AAV-mediated direct in vivo CRISPR screen identifies functional suppressors in glioblastoma.

Authors:  Ryan D Chow; Christopher D Guzman; Guangchuan Wang; Florian Schmidt; Mark W Youngblood; Lupeng Ye; Youssef Errami; Matthew B Dong; Michael A Martinez; Sensen Zhang; Paul Renauer; Kaya Bilguvar; Murat Gunel; Phillip A Sharp; Feng Zhang; Randall J Platt; Sidi Chen
Journal:  Nat Neurosci       Date:  2017-08-14       Impact factor: 24.884

8.  Mapping a functional cancer genome atlas of tumor suppressors in mouse liver using AAV-CRISPR-mediated direct in vivo screening.

Authors:  Guangchuan Wang; Ryan D Chow; Lupeng Ye; Christopher D Guzman; Xiaoyun Dai; Matthew B Dong; Feng Zhang; Phillip A Sharp; Randall J Platt; Sidi Chen
Journal:  Sci Adv       Date:  2018-02-28       Impact factor: 14.136

9.  Salmon provides fast and bias-aware quantification of transcript expression.

Authors:  Rob Patro; Geet Duggal; Michael I Love; Rafael A Irizarry; Carl Kingsford
Journal:  Nat Methods       Date:  2017-03-06       Impact factor: 28.547

10.  Circulating Tumor Cell Clustering Shapes DNA Methylation to Enable Metastasis Seeding.

Authors:  Sofia Gkountela; Francesc Castro-Giner; Barbara Maria Szczerba; Marcus Vetter; Julia Landin; Ramona Scherrer; Ilona Krol; Manuel C Scheidmann; Christian Beisel; Christian U Stirnimann; Christian Kurzeder; Viola Heinzelmann-Schwarz; Christoph Rochlitz; Walter Paul Weber; Nicola Aceto
Journal:  Cell       Date:  2019-01-10       Impact factor: 41.582

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