Literature DB >> 32832592

CRISPR Technology for Breast Cancer: Diagnostics, Modeling, and Therapy.

Rachel L Mintz1, Madeleine A Gao1, Kahmun Lo1, Yeh-Hsing Lao1, Mingqiang Li2, Kam W Leong3.   

Abstract

Molecularly, breast cancer represents a highly heterogenous family of neoplastic disorders, with substantial interpatient variations regarding genetic mutations, cell composition, transcriptional profiles, and treatment response. Consequently, there is an increasing demand for alternative diagnostic approaches aimed at the molecular annotation of the disease on a patient-by-patient basis and the design of more personalized treatments. The clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated (Cas) technology enables the development of such novel approaches. For instance, in diagnostics, the use of the RNA-specific C2c2 system allows ultrasensitive nucleic acid detection and could be used to characterize the mutational repertoire and transcriptional breast cancer signatures. In disease modeling, CRISPR/Cas9 technology can be applied to selectively engineer oncogenes and tumor-suppressor genes involved in disease pathogenesis. In treatment, CRISPR/Cas9 can be used to develop gene-therapy, while its catalytically-dead variant (dCas9) can be applied to reprogram the epigenetic landscape of malignant cells. As immunotherapy becomes increasingly prominent in cancer treatment, CRISPR/Cas9 can engineer the immune cells to redirect them against cancer cells and potentiate antitumor immune responses. In this review, CRISPR strategies for the advancement of breast cancer diagnostics, modeling, and treatment are highlighted, culminating in a perspective on developing a precision medicine-based approach against breast cancer.

Entities:  

Keywords:  CRISPR; breast cancer; precision medicine; targeted therapeutics

Year:  2018        PMID: 32832592      PMCID: PMC7437870          DOI: 10.1002/adbi.201800132

Source DB:  PubMed          Journal:  Adv Biosyst        ISSN: 2366-7478


  158 in total

Review 1.  Dendritic cell-based vaccines: clinical applications in breast cancer.

Authors:  Lucia Gelao; Carmen Criscitiello; Angela Esposito; Michele De Laurentiis; Luca Fumagalli; Marzia Adelia Locatelli; Ida Minchella; Michele Santangelo; Sabino De Placido; Aron Goldhirsch; Giuseppe Curigliano
Journal:  Immunotherapy       Date:  2014       Impact factor: 4.196

2.  Functional genetic screens for enhancer elements in the human genome using CRISPR-Cas9.

Authors:  Gozde Korkmaz; Rui Lopes; Alejandro P Ugalde; Ekaterina Nevedomskaya; Ruiqi Han; Ksenia Myacheva; Wilbert Zwart; Ran Elkon; Reuven Agami
Journal:  Nat Biotechnol       Date:  2016-01-11       Impact factor: 54.908

3.  Discovery of biomarkers predictive of GSI response in triple-negative breast cancer and adenoid cystic carcinoma.

Authors:  Alexander Stoeck; Serguei Lejnine; Andrew Truong; Li Pan; Hongfang Wang; Chongzhi Zang; Jing Yuan; Chris Ware; John MacLean; Philip W Garrett-Engele; Michael Kluk; Jason Laskey; Brian B Haines; Christopher Moskaluk; Leigh Zawel; Stephen Fawell; Gary Gilliland; Theresa Zhang; Brandon E Kremer; Birgit Knoechel; Bradley E Bernstein; Warren S Pear; X Shirley Liu; Jon C Aster; Sriram Sathyanarayanan
Journal:  Cancer Discov       Date:  2014-08-07       Impact factor: 39.397

4.  The SWI/SNF ATPases Are Required for Triple Negative Breast Cancer Cell Proliferation.

Authors:  Qiong Wu; Pasil Madany; Jacqueline Akech; Jason R Dobson; Stephen Douthwright; Gillian Browne; Jennifer L Colby; Georg E Winter; James E Bradner; Jitesh Pratap; Greenfield Sluder; Rohit Bhargava; Simion I Chiosea; Andre J van Wijnen; Janet L Stein; Gary S Stein; Jane B Lian; Jeffrey A Nickerson; Anthony N Imbalzano
Journal:  J Cell Physiol       Date:  2015-11       Impact factor: 6.384

5.  Tumour invasion and metastasis initiated by microRNA-10b in breast cancer.

Authors:  Li Ma; Julie Teruya-Feldstein; Robert A Weinberg
Journal:  Nature       Date:  2007-09-26       Impact factor: 49.962

6.  Diagnostic and prognostic microRNAs in the serum of breast cancer patients measured by droplet digital PCR.

Authors:  Alessandra Mangolini; Manuela Ferracin; Maria Vittoria Zanzi; Elena Saccenti; Sayda Omer Ebnaof; Valentina Vultaggio Poma; Juana M Sanz; Angela Passaro; Massimo Pedriali; Antonio Frassoldati; Patrizia Querzoli; Silvia Sabbioni; Paolo Carcoforo; Alan Hollingsworth; Massimo Negrini
Journal:  Biomark Res       Date:  2015-06-06

7.  Rapid modelling of cooperating genetic events in cancer through somatic genome editing.

Authors:  Francisco J Sánchez-Rivera; Thales Papagiannakopoulos; Rodrigo Romero; Tuomas Tammela; Matthew R Bauer; Arjun Bhutkar; Nikhil S Joshi; Lakshmipriya Subbaraj; Roderick T Bronson; Wen Xue; Tyler Jacks
Journal:  Nature       Date:  2014-10-22       Impact factor: 49.962

8.  Oncogenic long noncoding RNA landscape in breast cancer.

Authors:  Shouping Xu; Dejia Kong; Qianlin Chen; Yanyan Ping; Da Pang
Journal:  Mol Cancer       Date:  2017-07-24       Impact factor: 27.401

Review 9.  Minimizing off-Target Mutagenesis Risks Caused by Programmable Nucleases.

Authors:  Kentaro Ishida; Peter Gee; Akitsu Hotta
Journal:  Int J Mol Sci       Date:  2015-10-16       Impact factor: 5.923

10.  CRISPR/Cas-mediated genome editing to treat EGFR-mutant lung cancer: a personalized molecular surgical therapy.

Authors:  Huibin Tang; Joseph B Shrager
Journal:  EMBO Mol Med       Date:  2016-02-01       Impact factor: 12.137

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  2 in total

Review 1.  Recent advances in liposome formulations for breast cancer therapeutics.

Authors:  Biyao Yang; Bo-Ping Song; Shaina Shankar; Anna Guller; Wei Deng
Journal:  Cell Mol Life Sci       Date:  2021-05-11       Impact factor: 9.261

Review 2.  Methods for Stratification and Validation Cohorts: A Scoping Review.

Authors:  Teresa Torres Moral; Albert Sanchez-Niubo; Anna Monistrol-Mula; Chiara Gerardi; Rita Banzi; Paula Garcia; Jacques Demotes-Mainard; Josep Maria Haro
Journal:  J Pers Med       Date:  2022-04-26
  2 in total

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