| Literature DB >> 34095343 |
Eric Alves1,2, Shahama Taifour1,2, Riccardo Dolcetti3,4, Jonathan Chee5,6, Anna K Nowak5,7, Silvana Gaudieri1,8,9, Pilar Blancafort1,2,10.
Abstract
Precise clustered regularly interspaced short palindromic repeats (CRISPR)-mediated genetic and epigenetic manipulation of the immune response has become a promising immunotherapeutic approach toward combating tumorigenesis and tumor progression. CRISPR-based immunologic reprograming in cancer therapy comprises the locus-specific enhancement of host immunity, the improvement of tumor immunogenicity, and the suppression of tumor immunoevasion. To date, the ex vivo re-engineering of immune cells directed to inhibit the expression of immune checkpoints or to express synthetic immune receptors (chimeric antigen receptor therapy) has shown success in some settings, such as in the treatment of melanoma, lymphoma, liver, and lung cancer. However, advancements in nuclease-deactivated CRISPR-associated nuclease-9 (dCas9)-mediated transcriptional activation or repression and Cas13-directed gene suppression present novel avenues for the development of tumor immunotherapies. In this review, the basis for development, mechanism of action, and outcomes from recently published Cas9-based clinical trial (genetic editing) and dCas9/Cas13-based pre-clinical (epigenetic editing) data are discussed. Lastly, we review cancer immunotherapy-specific considerations and barriers surrounding use of these approaches in the clinic.Entities:
Keywords: CRISPR; cancer immunotherapy; clinical trials; epigenome engineering; genome editing; immune response; precision medicine
Year: 2021 PMID: 34095343 PMCID: PMC8142043 DOI: 10.1016/j.omtm.2021.04.009
Source DB: PubMed Journal: Mol Ther Methods Clin Dev ISSN: 2329-0501 Impact factor: 6.698
Variation in protospacer-adjacent motif sequences across major Cas9 orthologs
| CRISPR nuclease | Length (aa) | Organism | PAM sequence (5′→3′) | Reference |
|---|---|---|---|---|
| FnCas9 | 1,629 | NGG | ||
| TdCas9 | 1,423 | NAAAAN | ||
| SpCas9 | 1,368 | NGG, NAG | ||
| St1Cas9 | 1,122 | NNARAAW | ||
| NmCas9 | 1,109 | NNNNGATT | ||
| SaCas9 | 1,053 | NNGRRN | ||
| CjCas9 | 984 | NNNVRYM |
N = A/C/T/G; W = A/T; R = A/G; V = A/G/C; Y = T/C; M = A/C.
Figure 1Mechanisms underlying CRISPR-Cas9, dCas9, and Cas13 processes
(A) A 20-nt programmable CRISPR RNA (crRNA) directs the Cas9 complex to the target DNA. Upon recognition of the protospacer-adjacent motif (PAM) sequence at the target location, the DNA strand is separated and Watson-Crick base pairing between the genomic DNA and crRNA is achieved. The HNH domain cleaves the target DNA strand complementary to the crRNA sequence, whereas the RuvC domain cleaves the non-complementary strand. If no donor-corrected template is available, non-homologous end joining (NHEJ) occurs whereby random insertions and/or deletions are incorporated, rendering the gene non-functional or disrupted. Alternatively, if a template is available, homology-directed repair (HDR) is initiated, where the provided template is inserted into the cut genomic DNA, thereby allowing for gene correction or addition. (B) Mutations (D10A, H840A) in both cleavage domains of Cas9 generates a nuclease-deactivated protein (dCas9). Despite no cleavage activity, dCas9 preserves its high binding specificity and searching capability. Therefore, fusion of dCas9 to specific domains expands its functionality to transcriptional repression (red) or activation (blue), fluorescent tagging (green), and/or epigenetic writing or erasing (purple), such as methylation (+Me), demethylation (−Me), acetylation, and chromatin reading or remodeling. (C) A 28- to 30-nt programmable crRNA directs the Cas13 complex to the target single-stranded RNA (ssRNA) transcript. Watson-Crick base pairing between the target ssRNA and crRNA initiates non-specific splicing of the target transcript, as well as any nearby transcripts, irrespective of complementarity to the crRNA. This collateral RNase activity is attributed to Cas13’s promiscuous dual HEPN domains. (D) An arsenal of Cas13-crRNA complexes can be programmed to target sites across any ssRNA transcript. Cleavage of RNA in this way allows for inhibition of post-transcriptional gene expression.
Summary of all clinical trials utilizing CRISPR-Cas technologies to target the anti-tumor immune response
| Trial status | Date first posted | Identifier, ClinicalTrials.gov: | Phase | Country | Condition | Target gene | Edited cells |
|---|---|---|---|---|---|---|---|
| Completed | March 16, 2017 | 1 | China | esophageal cancer | PD-1 | T cells | |
| June 8, 2016 | 1 | China | lung cancer | PD-1 | T cells | ||
| Recruiting | February 7, 2017 | 1, 2 | China | EBV-associated cancers | PD-1 | T cells | |
| May 25, 2017 | NCT03166878 | 1, 2 | China | leukemia/lymphoma | TCR, B2M | T cells | |
| January 16, 2018 | NCT03398967 | 1, 2 | China | leukemia/lymphoma | CD19 and CD20 or CD22 | T cells | |
| June 4, 2018 | NCT03545815 | 1 | China | solid tumors | TCR, PD-1 | T cells | |
| July 29, 2019 | NCT04035434 | 1 | United States, Australia, Germany | leukemia/lymphoma | CD19 | T cells | |
| July 30, 2019 | NCT04037566 | 1 | China | leukemia/lymphoma | HPK1 | T cells | |
| January 28, 2020 | NCT04244656 | 1 | United States, Australia, Canada, Spain | multiple myeloma | BCMA | T cells | |
| June 5, 2020 | NCT04417764 | 1 | China | liver cancer | PD-1 | T cells | |
| June 11, 2020 | NCT04426669 | 1, 2 | United States | gastrointestinal cancer | CISH | T cells | |
| June 18, 2020 | NCT04438083 | 1 | United States, Australia | kidney cancer | CD70 | T cells | |
| August 6, 2020 | NCT04502446 | 1 | United States, Australia | lymphoma | CD70 | T cells | |
| September 21, 2020 | NCT04557436 | 1 | United Kingdom | leukemia | CD19, CD52, TCR | T cells | |
| November 20, 2020 | NCT04637763 | 1 | United States | lymphoma | CD19 | T cells | |
| Not yet recruiting | October 1, 2018 | 1 | United States | leukemia/lymphoma | CD7, CD28 | T cells | |
| Terminated | January 16, 2018 | 1 | United States | multiple myeloma | TCR, PD-1 | T cells | |
| Withdrawn | August 11, 2016 | NCT02863913 | 1 | China | bladder cancer | PD-1 | T cells |
| August 15, 2016 | NCT02867332 | 1 | China | kidney cancer | PD-1 | T cells | |
| August 15, 2016 | NCT02867345 | 1 | China | prostate cancer | PD-1 | T cells | |
| Unknown | November 20, 2018 | 1 | China | solid tumors | PD-1 | T cells |
Terms used in search: CRISPR, clustered regularly interspaced short palindromic repeat. PD-1, programmed cell death-1; EBV, Epstein-Barr virus; CISH, cytokine-induced SH2 protein; TCR, T cell receptor; HPK1, hematopoietic progenitor kinase 1; CD, cluster of differentiation; B2M, β2-microglobulin; BCMA, B cell maturation antigen. Search cutoff date: March 1, 2020.
Unknown studies denote those whose last known status was recruiting, not yet recruiting, or active, but had passed the completion date, and the status had not been last verified within the past 2 years.
Figure 2A combination CRISPR-Cas9 and dCas9- and Cas13-based approach to improving anti-tumor immunity
To date, immunotherapy approaches have aimed toward improving effector cells, such as T cells. However, CRISPR can also be used to counter immune evasion mechanisms within the tumor cell itself. (i) dCas9 fused to activation domains (Act) can be used to transcriptionally activate markers of cell stress and neoplastic transformation (MICA, MICB), thereby improving natural killer cell cytotoxicity (perforin, granzymes) toward the target cell. (ii) Cas9 genetic editing of host T cells ex vivo allows for re-engineering of the T cell receptor (TCR) and removal of immune checkpoint receptors (PD-1). Moreover, Cas13 gene inhibition can be used in combination with this approach via knockdown of corresponding immune checkpoint ligands (PD-L1) and suppressive cytokine signaling (VEGF, TGF-β). Using either of these approaches has been shown to improve the killing capacity of immune effector cells. CRISPR-dCas9 linked to Act can also be used to directly upregulate the genes responsible for antigen presentation, MHC class I (iii) and MHC class II (iv). Increased presentation of antigens improves the likelihood of recognition and elimination via CD8+ T cells and CD4+ T cells, particularly those re-engineered ex vivo to recognize specific tumor antigens.