Journal of Hematology, ISSN 1927-1212 print, 1927-1220 online, Open Access
Article copyright, the authors; Journal compilation copyright, J Hematol and Elmer Press Inc
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Original Article

Volume 15, Number 2, April 2026, pages 108-128


Engraftment Outcome of CRISPR/Cas9-Edited Hematopoietic Stem Cells for Genetic Diseases: A Systematic Review and Meta-Analysis of Preclinical Evidence

Figures

↓  Figure 1. Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flowchart for the systematic literature search and study inclusion.
Figure 1.
↓  Figure 2. CRISPR-Cas9 gene editing negatively impacts the ability of hematopoietic stem and progenitor cells to engraft in vivo, as measured by fluorescent-activated cell sorting. (a) Analysis of bone marrow engraftment comprised a total of 68 datasets. Most estimates were negative (68%), with observed standardized mean differences ranging from –1.8391 to 0.7740. (b) Analysis of spleen engraftment comprised a total of 24 datasets. Most estimates were negative (88%), and the observed standardized mean differences varied from –1.8629 to 0.4730. (c) Analysis of peripheral blood engraftment comprised a total of 41 datasets. The majority of estimates (78%) were negative, with observed standardized mean differences ranging from –1.1051 to 0.7224. CRISPR-Cas9: clustered regularly interspaced short palindromic repeats and CRISPR-associated protein 9.
Figure 2.
↓  Figure 3. The in vivo engraftment potential of human CD34+ HSPCs is impacted by the gene knockout approach used for gene editing. (a) Analysis of bone marrow engraftment included 38 datasets. The majority of estimates (76%) were negative, with observed standardized mean differences ranging from –1.8391 to 0.7740. (b) Analysis of spleen engraftment comprised a total of 14 datasets, of which 93% of the estimates were negative, with the observed standardized mean differences ranging from –1.8629 to 0.2046. (c) Analysis of peripheral blood engraftment comprised a total of 33 datasets. Most estimates (85%) were negative, with the observed standardized mean differences ranging from –1.1051 to 0.7534. HSPCs: hematopoietic stem and progenitor cells.
Figure 3.
↓  Figure 4. CRISPR-Cas9-mediated gene editing using RNP complex affects the in vivo engraftment of human HSPCs in mice model. (a) The analysis of bone marrow engraftment comprised 61 datasets that used the RNP version of the CRISPR-Cas9 system. The majority of estimates (72%), with observed standardized mean differences ranging from –1.8391 to 0.7740, were negative. (b) The study of peripheral blood engraftment included 60 datasets that used the RNP version of the CRISPR-Cas9 technology. A significant proportion of estimates (77%), with observed standardized mean differences ranging from –1.1051 to 0.7534, were negative. (c) Twenty-one datasets in all that used the RNP version of the CRISPR-Cas9 technology were analyzed for spleen engraftment. The observed standardized mean differences were mostly negative (95%), with a range of –1.8629 to 0.2046. (d)The investigation of peripheral blood engraftment comprised a total of eight datasets that used the CRISPR-Cas9 system in RNA form. The majority of estimates (88%), with observed standardized mean differences ranging from –0.1343 to 0.4505, were positive. CRISPR-Cas9: clustered regularly interspaced short palindromic repeats and CRISPR-associated protein 9; HSPCs: hematopoietic stem and progenitor cells; RNP: ribonucleoprotein complex.
Figure 4.
↓  Figure 5. The genetic background of NSGS and NSG Inbred mice influences the engraftment of gene-edited hHSPCs in the spleen, bone marrow, and peripheral blood. (a) The analysis of bone marrow engraftment comprised 38 datasets that used the NSG strain of mice model. The majority of estimates (74%), with observed standardized mean differences ranging from –1.8391 to 0.5537, were negative. (b) Analysis of spleen engraftment was conducted on 11 datasets that used the NSG strain of mice model. All estimations were negative (100%), and the observed standardized mean differences varied from –1.8629 to -0.1399. (c) The analysis comprised five datasets on peripheral blood engraftment using the NSGS mouse strain model. The observed standardized mean differences varied from –0.5092 to 0.7534, with 60% of the estimations being positive. hHSPCs: human hematopoietic stem and progenitor cells.
Figure 5.
↓  Figure 6. Utilizing the tail vein, intraperitoneal, and retro-orbital routes to deliver cells compromises the engraftment efficiency of gene-edited hHSPCs in the spleen and peripheral blood. The analysis of spleen engraftment comprised (a) eight datasets on spleen engraftment that used the tail vein as the delivery route. The observed standardized mean differences varied from –1.8629 to 0.2046, with 88% of estimates being negative. (b) Ten datasets that used retro-orbital administration. The observed standardized mean differences varied from –0.8680 to 0.2357, with 90% of the estimations being negative. (c) A total of four datasets that used intraperitoneal as the delivery method. All estimations were negative (100%), and the observed standardized mean differences varied from –1.4638 to -0.5878. In order to analyze peripheral blood engraftment (d), 45 datasets that used tail vein injection were considered. A significant portion of estimates (73%), with observed standardized mean differences ranging from –0.9161 to 0.4505, were negative. (e) A total of four datasets with intraperitoneal delivery were included. All estimations were negative (100%), and the observed standardized mean differences varied from –1.1051 to –0.7621. hHSPCs: human hematopoietic stem and progenitor cells.
Figure 6.
↓  Figure 7. The engraftment capacity of cells is affected by CRISPR-Cas9-based gene editing of peripheral blood-derived HSPCs and hemoglobinopathy-related genes. The investigation of HSPCs obtained from peripheral blood in (a) bone marrow engraftment included 58 datasets in total. With 72% of estimations being negative, the observed standardized mean differences varied from –1.8391 to 0.7740. (b) Peripheral blood engraftment included a total of 60 datasets. The observed standardized mean differences ranged from –1.1051 to 0.7534, with 70% of estimations being negative. To examine the editing effect of hemoglobinopathy-related genes (c) on peripheral blood engraftment, 40 datasets were analyzed. The majority of estimates (78%), with observed standardized mean differences ranging from –1.1051 to 0.7224, were negative. (d) For spleen engraftment, data from 13 datasets were utilized. Most estimates (85%) were negative, and the observed standardized mean differences varied from –1.4431 to 0.2338. CRISPR-Cas9: clustered regularly interspaced short palindromic repeats and CRISPR-associated protein 9; HSPCs: hematopoietic stem and progenitor cells.
Figure 7.

Tables

↓  Table 1. Characteristic Summary of the Preclinical Studies Included in the Metanalysis
 
Author and yearGoal of gene editingCas9 delivery systemDonor template delivery systemTargeted geneTissue source of hHSPCsMice strainMode of transplantationNumber of cells injectedFollow-up duration after transplantation
hHSPCs: human hematopoietic stem and progenitor cells; mRNA: messenger ribonucleic acid; gRNA: guide RNA; RNP: ribonucleoprotein complex; AAV6: adeno-associated virus type 6; ssODN: single-stranded oligodeoxynucleotides; PB: peripheral blood; BM: bone marrow; UCB: umbilical cord blood; CCR5: C-C chemokine receptor type 5; TET2: Tet methylcytosine deoxygenase 2; CYBB: cytochrome b-245 beta chain; HBB: hemoglobin subunit beta; CD: cluster of differentiation; HBG: hemoglobin subunit gamma; ITGB2: integrin beta subunit 2; ELANE: neutrophil elastase; FXN: frataxin; FOXP3: forkhead box P3; MAGT1: magnesium transporter 1; BCL11: B-cell lymphoma/leukemia 11; PKLR: pyruvate kinase L/R; PRR: putative repressor region; WAS: Wiskott Aldrich syndrome; IL2RG: interleukin 2 receptor subunit gamma; BTK: Bruton’s tyrosine kinase; NSG: non-obese diabetic (NOD) Scid gamma.
Xu et al, 2017 [19]KnockoutPlasmidNo donor templateCCR5Fetal liverNSGIntrahepatic1 × 10612 weeks
Tothova et al, 2017 [20]KnockoutPlasmidNo donor templateTET2/CohesinPBNSGSRetro-orbital0.2–0.5 × 10622 weeks
De Ravin et al, 2017 [21]Knock-inmRNA/gRNAssODNCYBBPBNSGTail vein1–3 × 10620 weeks
Yen et al, 2018 [22]KnockoutRNPNo donor templateHBBBMNSGTail vein0.7 × 10612–20 weeks
Kim et al, 2018 [23]KnockoutRNPNo donor templateCD33PBNSGTail vein0.1–0.5 × 10616 weeks
Pattabhi et al, 2019 [24]Knock-inRNPAAV6/ssODNHBBPBNBSGWTail vein2 × 10614 weeks
Borot et al, 2019 [25]KnockoutRNPNo donor templateCD33BMNSGSGM3Tail vein0.5–1 × 1069–21 weeks
Romero et al, 2019 [26]Knock-inRNPAAV6/ssODNHBBPBNSGRetro-orbital1–1.3 × 10616 weeks
Metais et al, 2019 [27]KnockoutRNPNo donor templateHBG1/HBG2PBNBSGWTail vein1 × 10616–17 weeks
Bloomer et al, 2021 [28]Knock-inRNPAAV6ITGB2PBNSGTail vein0.3 × 10618 weeks
Yudovich et al, 2020 [29]KnockoutRNPNo donor templateCD45UCBNSGTail vein0.1 × 10612 weeks
Tran et al., 2020 [30]Knock-inRNPAAV6ELANEPBNOG-XLTail vein0.2 × 10612–17 weeks
Rai et al, 2020 [31]Knock-inRNPAAV6ELANEPBNSGTail vein0.5 × 10614 weeks
Rocca et al, 2020 [32]KnockoutRNPNo donor templateFXNPBNSGIntrahepatic1 × 10612 weeks
Goodwin et al, 2020 [33]Knock-inRNPAAV6FOXP3UCBNSGSGM3Intrahepatic0.15–1 × 1068–14 weeks
Weber et al, 2020 [34]KnockoutRNPNo donor templateHBG1/HBG2PBNSGIntraperitoneal1 × 10616 weeks
Brault et al, 2021 [35]Knock-inmRNA/gRNAAAVMAGT1PBNSGSIntrahepatic1–1.5 × 106616 weeks
Sweeney et al, 2021 [36]Knock-inRNPAAV6CYBBPBNSGTail vein1–2 × 10612 weeks
Uchida et al, 2021 [37]Knock-inRNPssDNAHBBPBNBSGWTail Vein0.4–0.5 × 10612–16 weeks
Psatha et al, 2021 [38]KnockoutRNPNo donor templateBCL11PBNBSGWUnknown2 × 10616 weeks
Fananas-Baquero et al, 2021 [39]Knock-inRNPAAV6PKLRUCBNSGTail vein1 × 10613 weeks
Li et al, 2021 [40]KnockoutHdAdNo donor templateHBG2PBNSGTail vein0.5 × 10668 weeks
Samuelson et al, 2021 [41]KnockoutRNPNo donor templateHBG/BCL11PBNSGTail vein1 × 10612–23 weeks
El-Kharrag et al, 2022 [42]KnockoutRNPNo donor templateCD33PBNSGTail vein0.5 × 10620 weeks
Karrupusamy et al, 2022 [43]KnockoutRNPNo donor templateCCR5PBNBSGWTail vein0.09 × 10616 weeks
Venkatesan et al,2023 [44]KnockoutRNPNo donor templatePRR β-globinPBNBSGWTail vein0.5–0.6 × 10616 weeks
Rai et al, 2023 [45]Knock-inRNPAAV6WASPBNSGTail vein0.5 × 1068–16 weeks
Wellhausen et al,2023 [46]KnockoutRNPNo donor templateCD45PBNSGTail vein0.5 × 10612 weeks
Lydeard et al, 2023 [47]KnockoutRNPNo donor templateCD33PBNSGTail vein0.1–1 × 10616 weeks
Hardouin et al, 2023 [48]EditingmRNA/gRNANo donor templateHBBPBNBSGWRetro-orbital0.26 × 10616 weeks
Brault et al, 2023 [49]Knock-inmRNA/gRNAAAV6IL2RGPBNSGSIntrahepatic1–1.5 × 10612–16 weeks
Frati et al, 2024 [50]KnockoutRNPNo donor templateγ-globin promoterPBNSGRetro-orbital0.5–2 × 10616 weeks
Bahal et al, 2024 [51]Knock-inRNPAAV6BTKPBNSGTail vein2 × 10615 weeks
Demirci et al, 2024 [52]KnockoutRNPNo donor templateBCL11PBNBSGWTail vein0.3 × 10624 weeks
Nasri et al, 2024 [53]Knock-inRNPssODNELANEBMNSGIntrafemoral0.1 × 10616 weeks
Pugliano et al, 2024 [54]Knock-inRNPAAV6CD40LPBNBSGWRetro-orbital1.5–2 × 10612–16 weeks
Dudek et al, 2024 [55]Knock-inRNPAAV6CCR5PBNSGSGM3Retro-orbital1 × 10614 weeks
Park et al, 2019 [56]Knock-inPlasmidssODNHBBPBNSGIntrafemoral0.5 × 10619 weeks
Dever et al., 2016 [57]Knock-inRNPAAV6HBBPBNSGTail vein0.4–0.7 × 106Unknown

 

↓  Table 2. Summary of the Pooled Data and Subgroup Analysis of Various Parameters of the Study
 
ParameterGroupsSubgroupsTest of heterogeneityTest modelTypes of associationSignificance
QPI2 (%)Hedge’s gLower limitUpper limitP value
CRISPR-Cas9: clustered regularly interspaced short palindromic repeats and CRISPR-associated protein 9; HDR: homology-directed repair; PB: peripheral blood; RNP: ribonucleoprotein complex; BM: bone marrow; UCB: umbilical cord blood; HIV: human immunodeficiency virus; IMD: immune mediated disease; HGP: hemoglobinopathy; SCN: severe congenital neutropenia; AAV6: adeno-associated virus type 6; ssODN: single-strand oligonucleotide; NA: data not available for analysis; HSPC: hematopoietic stem progenitor cell; NS: not significant.
Bone marrow engraftmentGene editingPooled28.4461.0000.000Fixed–0.160–0.292–0.0280.018Significant
Knock-in5.6811.0000.000Fixed0.103–0.0920.2970.302NS
Knockout21.8550.9770.000Fixed–0.218–0.401–0.0350.020Significant
CRISPR-Cas9 systemRNA0.4480.9980.000Fixed–0.032–0.4120.3480.869NS
RNP27.5051.0000.000Fixed–0.177–0.318–0.0370.014Significant
Mice strainNSG19.3120.9930.000Fixed–0.238–0.426–0.0510.013Significant
NSGS0.7530.6860.000Fixed0.324–0.5241.1720.454NS
NBSGW0.8851.0000.000Fixed–0.055–0.2870.1760.639NS
NSGSGM34.4790.8120.000Fixed–0.286–0.7530.1810.229NS
Route of transplantationTail vein9.1911.0000.000Fixed–0.150–0.3140.0130.072NS
Intrahepatic1.2900.8630.000Fixed–0.011–0.4240.4020.958NS
Retro-orbital14.1590.16629.37Fixed–0.502–0.894–0.1090.012Significant
Intraperitoneal0.7880.8520.000Fixed–0.375–1.0780.3280.296NS
Source of HSPCPB23.7091.0000.000Fixed–0.166–0.305–0.0270.019Significant
BM3.8130.5770.000Fixed–0.407–0.9090.0950.112NS
UCB1.6340.8970.000Fixed0.008–0.5520.5690.976NS
Disease targetedHIV0.6680.9550.000Fixed–0.394–0.9870.1990.193NS
IMD3.3921.0000.000Fixed–0.101–0.3350.1330.397NS
HGP16.4080.9450.000Fixed–0.199–0.4070.0090.061NS
SCN0.5300.9120.000Fixed0.092–0.5700.7550.785NS
Leukemia5.8060.9260.000Fixed–0.183–0.5010.1340.258NS
HDR templateAAV64.3361.0000.000Fixed–0.141–0.3500.0680.187NS
ssODN0.3870.9990.000Fixed0.143–0.3860.6730.596NS
Spleen engraftmentGene editingPooled20.9080.5870.000Fixed–0.307–0.527–0.0870.006Significant
Knock-in7.0430.5320.000Fixed0.012–0.2690.2930.933NS
Knockout7.8810.8510.000Fixed–0.663–1.000–0.327< 0.001Significant
CRISPR-Cas9 systemRNA0.9970.6080.000Fixed0.374–0.0540.8020.087NS
RNP12.6940.8900.000Fixed–0.457–0.702–0.212< 0.001Significant
Mice strainNSG5.3820.8640.000Fixed–0.764–1.145–0.383< 0.001Significant
NSGSNANANANANANANANANA
NBSGW2.5180.8660.000Fixed–0.147–0.4950.2000.405NS
NSGSGM30.2910.9620.000Fixed–0.484–1.1880.2210.178NS
Route of transplantationTail vein6.6000.4720.000Fixed–0.428–0.837–0.0190.040Significant
IntrahepaticNANANANANANANANANA
Retro-orbital3.9170.9170.000Fixed–0.330–0.657–0.0040.047Significant
Intraperitoneal0.6850.8770.000Fixed–0.983–1.721–0.2450.009Significant
Source of HSPCPBNANANANANANANANANA
BMNANANANANANANANANA
UCBNANANANANANANANANA
Disease targetedHIV0.3150.9890.000Fixed–0.434–1.0270.1590.152NS
IMD2.1390.3436.490Fixed0.235–0.1220.5920.196NS
HGP6.7970.8710.000Fixed–0.479–0.793–0.1660.003Significant
SCNNANANANANANANANANA
Leukemia2.7830.24928.140Fixed–1.020–1.919–0.1210.026Significant
HDR templateAAV67.0430.5320.000Fixed0.012–0.2690.2930.933NS
ssODNNANANANANANANANANA
Thymus engraftmentGene editingPooled4.5650.9180Fixed–0.097–0.4350.2400.572NS
Knock-in3.7720.28720.46Fixed0.159–0.1740.4930.349NS
Knockout4.0090.6760.000Fixed–0.087–0.6270.4520.752NS
CRISPR-Cas9 systemRNA3.7440.28720.500Fixed0.159–0.1740.4930.348NS
RNP4.0100.6750.000Fixed–0.087–0.6270.4520.751NS
Mice strainNSG4.2880.5090.000Fixed–0.153–0.5570.2510.459NS
NSGS1.3130.8590.000Fixed0.328–0.0700.7270.106NS
NBSGWNANANANANANANANANA
NSGSGM3NANANANANANANANANA
Route of transplantationTail vein3.8660.14548.260Fixed–0.216–1.0750.6430.622NS
Intrahepatic3.8470.27922.010Fixed0.157–0.1770.4900.357NS
Retro-orbitalNANANANANANANANANA
Intraperitoneal0.0001.0000.000Fixed–0.003–0.6870.6800.993NS
Source of HSPCPBNANANANANANANANANA
BMNANANANANANANANANA
UCBNANANANANANANANANA
Disease targetedHIVNANANANANANANANANA
IMD3.7730.28720.500Fixed0.159–0.1740.4930.349NS
HGP0.0401.0000.000Fixed0.029–0.5830.6430.924NS
SCNNANANANANANANANANA
Leukemia3.7180.15646.210Fixed–0.216–1.0740.6420.621NS
HDR templateAAV63.7740.28720.500Fixed0.159–0.1740.4930.348NS
ssODNNANANANANANANANANA
Peripheral blood engraftmentGene editingPooled12.4631.0000.000Fixed–0.270–0.464–0.0750.007Significant
Knock-in16.6220.9920.000Fixed–0.128–0.3070.0510.162NS
Knockout11.5361.0000.000Fixed–0.231–0.442–0.0200.032Significant
CRISPR-Cas9 systemRNA0.7210.9980.000Fixed0.3480.0460.6490.024Significant
RNP20.8321.0000.000Fixed–0.242–0.388–0.0960.001Significant
Mice strainNSGNANANANANANANANANA
NSGS3.7190.4450.000Fixed0.3130.0110.6150.042Significant
NBSGW5.3410.9890.000Fixed–0.233–0.4760.0100.060NS
NSGSGM30.1570.9840.000Fixed0.120–0.4810.7210.696NS
Route of transplantationTail vein9.5131.0000.000Fixed–0.207–0.394–0.0200.030Significant
Intrahepatic3.7310.8810.000Fixed0.224–0.0400.4880.096NS
Retro-orbital5.6710.5790.000Fixed–0.247–0.5330.0390.090NS
Intraperitoneal0.1270.9880.000Fixed–0.887–1.614–0.1600.017Significant
Source of HSPCPB28.1351.0000.000Fixed–0.172–0.315–0.0290.018Significant
BM0.0350.9830.000Fixed–0.055–0.7410.6300.875NS
UCB0.1570.9840.000Fixed0.120–0.4810.7210.696NS
Disease targetedHIVNANANANANANANANANA
IMD11.6360.8650.000Fixed–0.128–0.3340.0780.224NS
HGP11.5121.0000.000Fixed–0.224–0.432–0.0160.035Significant
SCN0.8780.8310.000Fixed–0.125–0.7890.5400.713NS
LeukemiaNANANANANANANANANA
HDR templateAAV615.3840.6980.000Fixed–0.082–0.2670.1030.384NS
ssODN3.1980.9940.000Fixed0.095–0.3590.5490.682NS

 

↓  Table 3. Practical Recommendations for Optimizing Engraftment
 
Gene editingCRISPR-Cas9 systemMice strainRoute of transplantationSource of HSPCsHDR template
CRISPR-Cas9: clustered regularly interspaced short palindromic repeats and CRISPR-associated protein 9; HSPCs: hematopoietic stem and progenitor cells; HDR: homology-directed repair; RNP: ribonucleoprotein complex; BM: bone marrow; UCB: umbilical cord blood; AAV6: adeno-associated virus type 6; ssODN: single-strand oligonucleotide.
Bone marrowKnock-inRNANSGSTail veinBMAAV6
NBSGWIntrahepaticUCBssODN
NSGSGM3Intraperitoneal
SpleenKnock-inRNPNBSGWIntrahepatic?UnknownAAV6
NSGSGM3
ThymusKnock-inRNANSGTail veinUnknownAAV6
KnockoutRNPNSGSIntrahepatic
Intraperitoneal
Peripheral bloodKnock-inPlasmid?NBSGWIntrahepaticBMAAV6
NSGSGM3Retro-orbitalUCBssODN