Literature DB >> 36097111

Applications of CRISPR/Cas technology against drug-resistant lung cancers: an update.

Mayank Chaudhary1, Pooja Sharma1, Tapan Kumar Mukherjee2.   

Abstract

Out of all the cancer types, the most prevalent one is lung cancer. Multiple genes and signaling pathways play role in the progression of lung cancer. Considering the wider prevalence and fatality of lung cancer it has become the focus of current cancer research. Though currently used approaches have shown positive results against lung cancer but success against non-small cell lung cancer (NSCLC) still looms as an enigma for the entire research fraternity. The development of resistance against inhibitors within a short span is one of the reasons responsible for the failure and relapse of lung cancer. Under these prevailing conditions genome/gene-editing technology using clustered regularly interspaced short palindromic repeat (CRISPR) and CRISPR associated proteins (Cas), popularly known as CRISPR/Cas technology offers a convenient and flexible method for inducing precise changes within the lung cancer cell. Additionally, CRISPR-barcoding and CRISPR knockout screens at the genome-wide level can help in the functional investigation of specific mutations and identification of novel cancer drivers respectively. Several variants of the CRISPR/Cas system are being developed to limit off-targeting with enhanced precision. The present review article updates the usefulness of CRISPR/Cas technology against various types of lung cancers.
© 2022. The Author(s), under exclusive licence to Springer Nature B.V.

Entities:  

Keywords:  CRISPR associated proteins (Cas); Chemotherapy; Clustered regularly interspaced short palindromic repeat (CRISPR); Drug resistance; Genome/gene editing; Lung cancers

Year:  2022        PMID: 36097111     DOI: 10.1007/s11033-022-07766-7

Source DB:  PubMed          Journal:  Mol Biol Rep        ISSN: 0301-4851            Impact factor:   2.742


  84 in total

1.  Cancer statistics, 2019.

Authors:  Rebecca L Siegel; Kimberly D Miller; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2019-01-08       Impact factor: 508.702

2.  Modeling cancer processes with CRISPR-Cas9.

Authors:  Xiao-Jie Lu; Xiaolong Qi; Dong-Hui Zheng; Li-Juan Ji
Journal:  Trends Biotechnol       Date:  2015-04-20       Impact factor: 19.536

3.  Modeling intratumor heterogeneity through CRISPR-barcodes.

Authors:  Alexis Guernet; Stuart A Aaronson; Youssef Anouar; Luca Grumolato
Journal:  Mol Cell Oncol       Date:  2016-09-06

Review 4.  Resisting Resistance: Targeted Therapies in Lung Cancer.

Authors:  Jessica J Lin; Alice T Shaw
Journal:  Trends Cancer       Date:  2016-07

5.  Multiplex genome engineering using CRISPR/Cas systems.

Authors:  Le Cong; F Ann Ran; David Cox; Shuailiang Lin; Robert Barretto; Naomi Habib; Patrick D Hsu; Xuebing Wu; Wenyan Jiang; Luciano A Marraffini; Feng Zhang
Journal:  Science       Date:  2013-01-03       Impact factor: 47.728

6.  One-step generation of mice carrying mutations in multiple genes by CRISPR/Cas-mediated genome engineering.

Authors:  Haoyi Wang; Hui Yang; Chikdu S Shivalila; Meelad M Dawlaty; Albert W Cheng; Feng Zhang; Rudolf Jaenisch
Journal:  Cell       Date:  2013-05-02       Impact factor: 41.582

7.  Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries.

Authors:  Freddie Bray; Jacques Ferlay; Isabelle Soerjomataram; Rebecca L Siegel; Lindsey A Torre; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2018-09-12       Impact factor: 508.702

8.  European cancer mortality predictions for the year 2017, with focus on lung cancer.

Authors:  M Malvezzi; G Carioli; P Bertuccio; P Boffetta; F Levi; C La Vecchia; E Negri
Journal:  Ann Oncol       Date:  2017-05-01       Impact factor: 32.976

Review 9.  Applications of the CRISPR-Cas9 system in cancer biology.

Authors:  Francisco J Sánchez-Rivera; Tyler Jacks
Journal:  Nat Rev Cancer       Date:  2015-06-04       Impact factor: 60.716

10.  Optimizing sgRNA structure to improve CRISPR-Cas9 knockout efficiency.

Authors:  Ying Dang; Gengxiang Jia; Jennie Choi; Hongming Ma; Edgar Anaya; Chunting Ye; Premlata Shankar; Haoquan Wu
Journal:  Genome Biol       Date:  2015-12-15       Impact factor: 13.583

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