| Literature DB >> 29434679 |
Zubair Ahmed Ratan1, Young-Jin Son2, Mohammad Faisal Haidere3, Bhuiyan Mohammad Mahtab Uddin4, Md Abdullah Yusuf5, Sojib Bin Zaman6, Jong-Hoon Kim7, Laila Anjuman Banu8, Jae Youl Cho9.
Abstract
Bacteria and archaea possess adaptive immunity against foreign genetic materials through clustered regularly interspaced short palindromic repeat (CRISPR) systems. The discovery of this intriguing bacterial system heralded a revolutionary change in the field of medical science. The CRISPR and CRISPR-associated protein 9 (Cas9) based molecular mechanism has been applied to genome editing. This CRISPR-Cas9 technique is now able to mediate precise genetic corrections or disruptions in in vitro and in vivo environments. The accuracy and versatility of CRISPR-Cas have been capitalized upon in biological and medical research and bring new hope to cancer research. Cancer involves complex alterations and multiple mutations, translocations and chromosomal losses and gains. The ability to identify and correct such mutations is an important goal in cancer treatment. In the context of this complex cancer genomic landscape, there is a need for a simple and flexible genetic tool that can easily identify functional cancer driver genes within a comparatively short time. The CRISPR-Cas system shows promising potential for modeling, repairing and correcting genetic events in different types of cancer. This article reviews the concept of CRISPR-Cas, its application and related advantages in oncology.Entities:
Keywords: CRISPR-Cas9; cancer; genetics; immunity; medical research
Year: 2018 PMID: 29434679 PMCID: PMC5802696 DOI: 10.1177/1758834018755089
Source DB: PubMed Journal: Ther Adv Med Oncol ISSN: 1758-8340 Impact factor: 8.168
Timeline of CRISPR.
| The milestones of CRISPR technology | Contribution | Time Period(s) | Reference |
|---|---|---|---|
|
| Osaka University, Japan | 1987 | Ishino and colleagues[ |
|
| Francisco Mojica, University of Alicante, Spain | 1993–2005 | Mojica[ |
|
| Alexander Bolotin, French National Institute for Agricultural Research (INRA), France | May 2005 | Bolotin and colleagues[ |
|
| Eugene Koonin, US National Center for Biotechnology Information, NIH, Maryland | March 2006 | Mojica and colleagues[ |
|
| Philippe Horvath, Danisco France SAS, France | March 2007 | Barrangou and colleagues[ |
|
| John van der Oost, University of Wageningen, Netherlands | August 2008 | Brouns and colleagues[ |
|
| Luciano Marraffini and Erik Sontheimer, Northwestern University, Illinois | December 2008 | Marraffini and Sontheimer[ |
|
| Sylvain Moineau, University of Laval, Quebec City, Canada | December 2010 | Garneau and colleagues[ |
|
| Emmanuelle Charpentier, Umea University, Sweden and University of Vienna, Austria | March 2011 | Deltcheva and colleagues[ |
|
| Howard Hughes Medical Institute (HHMI), University of California, Berkeley, California | June 2012 | Jinek and colleagues[ |
|
| Virginijus Siksnys, Vilnius University, Lithuania | September 2012 | Gasiunas and colleagues[ |
|
| Harvard Medical School, Boston, | January 2013 | Mali and colleagues[ |
|
| Feng Zhang, Broad Institute of MIT and Harvard, McGovern Institute for Brain Research at MIT, Massachusetts | January 2013 | Ding and colleagues[ |
Figure 1.Graphical representation of the CRISPR-Cas9 system.
Step 1. Adaptation – DNA from the invading virus is processed into short segments. These segments are inserted into the CRISPR sequence to function as new spacers.
Step 2. Production of CRISPR RNA – the DNA undergoes a transcription process that copies DNA into RNA. The single-stranded RNA is cut into short pieces called CRISPR RNAs.
Step 3. Targeting – CRISPR RNAs are programmed to destroy the viral material. Here, the ‘RNA sequences’ are copied from the viral DNA sequences.
Figure 2.Graphical representation of a nanoscale delivery vehicle for CRISPR-Cas9 (not to scale).
Figure 3.A schematic overview of cancer modeling using the CRISPR-Cas9 technique.
Overview of the application of the CRISPR-Cas9 system in cancer modeling.
| Cancer | Mouse strain and genotype | Alteration | Delivery | Target cell | Approach | Reference |
|---|---|---|---|---|---|---|
| Lung adenocarcinoma | CD1 and C57BL/6J (B6), | Chromosomal rearrangement | Adenoviral, | HEK293 (human) |
| Choi and Meyerson[ |
| Maddalo and colleagues[ | ||||||
| Blasco and colleagues[ | ||||||
| Sánchez-Rivera and colleagues[ | ||||||
| Liver cancer | FVB/NJ mice | Loss-of-function and directed mutation | Hydrodynamic injection | Liver cells (mouse) |
| Xue and colleagues[ |
| Pancreatic ductal adenocarcinoma | KrasLSL-G12D/+; R26LSL-Tom; H11LSL- Cas9/+ | Loss-of-function | Retrograde ductal injection of adeno/lentivirus | Somatic pancreatic cells (mouse) |
| Chiou and colleagues[ |
| Burkitt lymphoma | Arf/– EμMyc | Translocation | Lentiviral and retroviral | 293T cells |
| Malina and colleagues[ |
| Colon cancer | ApcMin/+ | Loss-of-function and directed mutation | Plasmid transfection | DLD1 and HCT116 cell lines (human) |
| Antal and colleagues[ |
| Acute myeloid leukemia (AML) | p53 null HSPC | Loss-of-function | Plasmid transfection | mHSPC (mouse) |
| Chen and colleagues[ |
| C57Bl/6 mice or heterozygous Flt3-ITD knock-in mice | Loss-of-function | Lentiviral | mHSPC (mouse) |
| Heckl and colleagues[ | |
| Lung metastasis | KrasG12D/+; p53−/−; Dicer1+/− | Multiple hits from screen | Lentiviral | Human ES and iPS cells | Urnov and colleagues[ |
Figure 4.Cells are collected from the patient, edited by CRISPR-Cas9, and returned to the patient.
Previous studies and edited genes for different carcinomas.
| Type of cancer | Genes edited | Target | Author(s), publication year | Citation |
|---|---|---|---|---|
| Glioblastoma and | Trp53, Pten, Nf1 and Ptch1 | Patient-derived xenograft (PDX), cell-derived xenograft (CDX) and genetically engineered mouse model (GEMMs). | Monje and colleagues 2011 | Zhen and colleagues[ |
| Faria and colleagues 2015 | Li-Kuo and Kinzler[ | |||
| Becher and colleagues 2010 | Roper and colleagues[ | |||
| Bladder cancer | TP53, urothelial carcinoma-associated 1 (UCA1), long non-coding RNA-related nuclear protein (ncRAN) | 5637 and T24 bladder cancer cell lines | Mei Xue and colleagues 2014 | Yoshino and colleagues[ |
| Colorectal cancer | APC, TP53, KRAS, SMAD4 | GEMMs | Roper and colleagues 2017 | Roper and colleagues[ |
| Hepatocellular carcinoma | Pten and p53 genes | Embryonic stem cell targeting | Xue and colleagues 2014 | Xue and colleagues[ |
| Renal cell carcinoma | miR-210-3p | Yoshino and colleagues 2017 | Yoshino and colleagues[ | |
| Von Hippel-Lindau (VHL) | Knockdown of VHL | Schokrpur and colleagues 2016 | Schokrpur and colleagues[ | |
| Breast cancer | Brahma (BRM) and Brahma-related Gene 1 (BRG1) | GEMMs | Wu and colleagues 2015 | Wu and colleagues[ |
| CDH1 | Annunziato and colleagues 2016 | Annunziato and colleagues[ | ||
| Human cervical cancer cells | HPV16 E6 gene | SiHa and CaSki cells | Yu and colleagues 2015 | Yu and colleagues[ |
| Zhen and colleagues 2014 | Zhen and colleagues[ | |||
| Acute myeloid leukemia | miRNAs | Mammalian cell phenotypes | Wallace and colleagues 2016 | Wallace and colleagues[ |
| Heckl and colleagues 2014 | Heckl and colleagues[ | |||
| Ovarian cancer | Snail1 | Human ovarian adenocarcinoma (RMG-1) cells | Haraguchi and colleagues 2015 | Haraguchi and colleagues[ |
| HE4 | HE4-overexpressing SKOV3 cells | Ribeiro and colleagues 2016 | Ribeiro and colleagues[ | |
| LY75 | SKOV3 and TOV112, and A2780s and OV2008 | Faddaoui and colleagues 2016 | Faddaoui and colleagues[ | |
| OCIAD1 | BJNhem20-OCIAD1-CRISPR-39 line | Shetty and colleagues 2016 | Shetty and colleagues[ |