Cited by 132CRISPR and Genetic EngineeringExtracellular vesicles in diseaseRNA Interference and Gene Delivery

Engineered Extracellular Vesicle-Delivered CRISPR/Cas9 for Radiotherapy Sensitization of Glioblastoma

Open access
Liu, Xiao, Cao, Zhengcong, Wang, Weizhong, Zou, Cheng, Wang, Yingwen, Pan, Luxiang, Jia, Bo, Zhang, Kuo +9 more·2023·ACS Nano

Abstract

loss-of-function genome-wide CRISPR screen was carried out in orthotopic tumors in mice subjected to radiation treatment to identify synthetic lethal genes associated with radiotherapy. Using functional screening and transcriptome analyses, glutathione synthetase (GSS) was found to be a potential regulator of radioresistance through ferroptosis. High GSS levels were closely related to poor prognosis and relapse in patients with glioma. Mechanistic studies demonstrated that GSS was associated with the suppression of radiotherapy-induced ferroptosis in glioma cells. The depletion of GSS resulted in the disruption of glutathione (GSH) synthesis, thereby causing the inactivation of GPX4 and iron accumulation, thus enhancing the induction of ferroptosis upon radiotherapy treatment. Moreover, to overcome the obstacles to broad therapeutic translation of CRISPR editing, we report a previously unidentified genome editing delivery system, in which Cas9 protein/sgRNA complex was loaded into Angiopep-2 (Ang) and the trans-activator of the transcription (TAT) peptide dual-modified extracellular vesicle (EV), which not only targeted the blood-brain barrier (BBB) and GBM but also permeated the BBB and penetrated the tumor. Our encapsulating EVs showed encouraging signs of GBM tissue targeting, which resulted in high GSS gene editing efficiency in GBM (up to 67.2%) with negligible off-target gene editing. These results demonstrate that a combination of unbiased genetic screens, and CRISPR-Cas9-based gene therapy is feasible for identifying potential synthetic lethal genes and, by extension, therapeutic targets.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1021/acsnano.2c12857

Cites

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Even with nanotechnology, the efficiency of targeting disease or disordered area cells with EVs is quite low.

    “To treat CNS disorders using EVs, EVs should only target the disease or disordered area cells, but even with nanotechnology, efficiency is quite low [333–336].”

    From Extracellular vesicles as nanotheranostic platforms for targeted neurological disorder interventions (2024) · cites this paper as [335]

    The Results section reports weak performance for unmodified EVs: they remained near the surface of glioblastoma organoids, and the measured gene-editing frequency was 2.5%. But it also reports better targeting with peptide-modified EVs, while the Discussion says the engineered EVs efficiently targeted glioma. The paper therefore supports a limitation of unmodified EVs, not the broader claim that targeting remains quite inefficient even with nanotechnology. No page numbers are available in our copy. (LLM, conf=0.84)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

The citation lists haven’t been fetched yet

References 42 · Cited by 132

Research works printed but not linked: 40

  1. Singh M. M.; Johnson B.; Venkatarayan A.; Flores E. R.; Zhang J.; Su X.; Barton M.; Lang F.; Chandra J. Preclinical activity of combined HDAC and KDM1A inhibition in glioblastoma. Neuro Oncol 2015, 17 (11), 1463– 73. 10.1093/neuonc/nov041. 25795306 PMC4648298 · DOI
  2. Karachi A.; Dastmalchi F.; Mitchell D. A.; Rahman M. Temozolomide for immunomodulation in the treatment of glioblastoma. Neuro Oncol 2018, 20 (12), 1566– 1572. 10.1093/neuonc/noy072. 29733389 PMC6231207 · DOI
  3. Janjua T. I.; Rewatkar P.; Ahmed-Cox A.; Saeed I.; Mansfeld F. M.; Kulshreshtha R.; Kumeria T.; Ziegler D. S.; Kavallaris M.; Mazzieri R.; Popat A. Frontiers in the treatment of glioblastoma: Past, present and emerging. Adv. Drug Deliv Rev. 2021, 171, 108– 138. 10.1016/j.addr.2021.01.012. 33486006 · DOI
  4. Shergalis A.; Bankhead A. 3rd; Luesakul U.; Muangsin N.; Neamati N. Current Challenges and Opportunities in Treating Glioblastoma. Pharmacol Rev. 2018, 70 (3), 412– 445. 10.1124/pr.117.014944. 29669750 PMC5907910 · DOI
  5. Rajendran S.; Hu Y.; Canella A.; Peterson C.; Gross A.; Cam M.; Nazzaro M.; Haffey A.; Serin-Harmanci A.; Distefano R.; Nigita G.; Wang W.; Kreatsoulas D.; Li Z.; Sepeda J. A.; Sas A.; Hester M. E.; Miller K. E.; Elemento O.; Roberts R. D.; Holland E. C.; Rao G.; Mardis E. R.; Rajappa P. Single-cell RNA sequencing reveals immunosuppressive myeloid cell diversity during malignant progression in a murine model of glioma. Cell Rep 2023, 42 (3), 112197 10.1016/j.celrep.2023.112197. 36871221 · DOI
  6. Zeng X.; Zhao F.; Cui G.; Zhang Y.; Deshpande R. A.; Chen Y.; Deng M.; Kloeber J. A.; Shi Y.; Zhou Q.; Zhang C.; Hou J.; Kim W.; Tu X.; Yan Y.; Xu Z.; Chen L.; Gao H.; Guo G.; Liu J.; Zhu Q.; Cao Y.; Huang J.; Wu Z.; Zhu S.; Yin P.; Luo K.; Mer G.; Paull T. T.; Yuan J.; Tao K.; Lou Z. METTL16 antagonizes MRE11-mediated DNA end resection and confers synthetic lethality to PARP inhibition in pancreatic ductal adenocarcinoma. Nat. Cancer 2022, 3 (9), 1088– 1104. 10.1038/s43018-022-00429-3. 36138131 · DOI
  7. Wei X.; Yang J.; Adair S. J.; Ozturk H.; Kuscu C.; Lee K. Y.; Kane W. J.; O’Hara P. E.; Liu D.; Demirlenk Y. M.; Habieb A. H.; Yilmaz E.; Dutta A.; Bauer T. W.; Adli M. Targeted CRISPR screening identifies PRMT5 as synthetic lethality combinatorial target with gemcitabine in pancreatic cancer cells. Proc. Natl. Acad. Sci. U. S. A. 2020, 117 (45), 28068– 28079. 10.1073/pnas.2009899117. 33097661 PMC7668168 · DOI
  8. Xu S.; Zhan M.; Jiang C.; He M.; Yang L.; Shen H.; Huang S.; Huang X.; Lin R.; Shi Y.; Liu Q.; Chen W.; Mohan M.; Wang J. Genome-wide CRISPR screen identifies ELP5 as a determinant of gemcitabine sensitivity in gallbladder cancer. Nat. Commun. 2019, 10 (1), 5492 10.1038/s41467-019-13420-x. 31792210 PMC6889377 · DOI
  9. Wang Y.; W J.; Chen H.; Yang Y.; Xiao C.; Yi X.; Shi C.; Zhong K.; He H.; Li Y.; Wu Z.; Zhou G.; Rao Q.; Wang X.; Zhou X.; Lomberk G.; Liu B.; Zhao J.; Ge J.; Zhou W.; Chu X.; Chen C.; Zhou X.; Wang L.; Guan K.; Qu L. Genome-wide CRISPR-Cas9 screen identified KLF11 as a druggable suppressor for sarcoma cancer stem cells. Sci. Adv. 2021, 7 (5), 3445 10.1126/sciadv.abe3445. PMC7840125 33571129 · DOI
  10. Tiyaboonchai A.; Vonada A.; Posey J.; Pelz C.; Wakefield L.; Grompe M. Self-cleaving guide RNAs enable pharmacological selection of precise gene editing events in vivo. Nat. Commun. 2022, 13 (1), 7391 10.1038/s41467-022-35097-5. 36450762 PMC9712609 · DOI
  11. Li X.; Qian X.; Wang B.; Xia Y.; Zheng Y.; Du L.; Xu D.; Xing D.; DePinho R. A.; Lu Z. Programmable base editing of mutated TERT promoter inhibits brain tumour growth. Nat. Cell Biol. 2020, 22 (3), 282– 288. 10.1038/s41556-020-0471-6. 32066906 · DOI
  12. Ren X. H.; He X. Y.; Xu C.; Han D.; Cheng S. X. Functional Tumor Targeting Nano-Systems for Reprogramming Circulating Tumor Cells with In Situ Evaluation on Therapeutic Efficiency at the Single-Cell Level. Adv. Sci. (Weinh) 2022, 9 (21), 2105806 10.1002/advs.202105806. 35595716 PMC9313495 · DOI
  13. Jiang J.; Chen Y.; Zhang L.; Jin Q.; Wang L.; Xu S.; Chen K.; Li L.; Zeng T.; Fan X.; Liu T.; Li J.; Wang J.; Han C.; Gao F.; Yang Y.; Wang Y. i-CRISPR: a personalized cancer therapy strategy through cutting cancer-specific mutations. Mol. Cancer 2022, 21 (1), 164 10.1186/s12943-022-01612-x. 35974394 PMC9380384 · DOI
  14. Oh S. A.; Senger K.; Madireddi S.; Akhmetzyanova I.; Ishizuka I. E.; Tarighat S.; Lo J. H.; Shaw D.; Haley B.; Rutz S. High-efficiency nonviral CRISPR/Cas9-mediated gene editing of human T cells using plasmid donor DNA. J. Exp Med. 2022, 219 ((5),). 10.1084/jem.20211530. PMC9040063 35452075 · DOI · Paper page
  15. Whitley J. A.; Kim S.; Lou L.; Ye C.; Alsaidan O. A.; Sulejmani E.; Cai J.; Desrochers E. G.; Beharry Z.; Rickman C. B.; Klingeborn M.; Liu Y.; Xie Z. R.; Cai H. Encapsulating Cas9 into extracellular vesicles by protein myristoylation. J. Extracell Vesicles 2022, 11 (4), e12196 10.1002/jev2.12196. 35384352 PMC8982324 · DOI
  16. Deligne C.; Hachani J.; Duban-Deweer S.; Meignan S.; Leblond P.; Carcaboso A. M.; Sano Y.; Shimizu F.; Kanda T.; Gosselet F.; Dehouck M. P.; Mysiorek C. Development of a human in vitro blood-brain tumor barrier model of diffuse intrinsic pontine glioma to better understand the chemoresistance. Fluids Barriers CNS 2020, 17 (1), 37 10.1186/s12987-020-00198-0. 32487241 PMC7268424 · DOI
  17. Liu X.; Cao Z.; Liu N.; Gao G.; Du M.; Wang Y.; Cheng B.; Zhu M.; Jia B.; Pan L.; Zhang W.; Jiang Y.; He W.; Xu L.; Zhang W.; An Q.; Guo Q.; Gu J. Kill two birds with one stone: Engineered exosome-mediated delivery of cholesterol modified YY1-siRNA enhances chemoradiotherapy sensitivity of glioblastoma. Front Pharmacol 2022, 13, 975291 10.3389/fphar.2022.975291. 36059990 PMC9438942 · DOI
  18. Gu J.; Mu N.; Jia B.; Guo Q.; Pan L.; Zhu M.; Zhang W.; Zhang K.; Li W.; Li M.; Wei L.; Xue X.; Zhang Y.; Zhang W. Targeting radiation-tolerant persister cells as a strategy for inhibiting radioresistance and recurrence in glioblastoma. Neuro Oncol 2022, 24 (7), 1056– 1070. 10.1093/neuonc/noab288. 34905060 PMC9248405 · DOI
  19. Buzas E. I. The roles of extracellular vesicles in the immune system. Nat. Rev. Immunol 2023, 23, 236 10.1038/s41577-022-00763-8. 35927511 PMC9361922 · DOI
  20. Li Y.; Wu Y.; Federzoni E. A.; Wang X.; Dharmawan A.; Hu X.; Wang H.; Hawley R. J.; Stevens S.; Sykes M.; Yang Y. G. CD47 cross-dressing by extracellular vesicles expressing CD47 inhibits phagocytosis without transmitting cell death signals. Elife 2022, 11, e73677 10.7554/eLife.73677. 36454036 PMC9714967 · DOI
  21. Liu Q.; Huang J.; Xia J.; Liang Y.; Li G. Tracking tools of extracellular vesicles for biomedical research. Front Bioeng Biotechnol 2022, 10, 943712 10.3389/fbioe.2022.943712. 36466335 PMC9716315 · DOI
  22. Horbay R.; Hamraghani A.; Ermini L.; Holcik S.; Beug S. T.; Yeganeh B. Role of Ceramides and Lysosomes in Extracellular Vesicle Biogenesis, Cargo Sorting and Release. Int. J. Mol. Sci. 2022, 23 (23), 15317 10.3390/ijms232315317. 36499644 PMC9735581 · DOI
  23. Zhou K.; Liu Y.; Zhao Z.; Wang Y.; Huang L.; Chai R.; Li G.; Jiang T. ABCC8 mRNA expression is an independent prognostic factor for glioma and can predict chemosensitivity. Sci. Rep 2020, 10 (1), 12682 10.1038/s41598-020-69676-7. 32728190 PMC7391768 · DOI
  24. Milde T.; Oehme I.; Korshunov A.; Kopp-Schneider A.; Remke M.; Northcott P.; Deubzer H. E.; Lodrini M.; Taylor M. D.; von Deimling A.; Pfister S.; Witt O. HDAC5 and HDAC9 in medulloblastoma: novel markers for risk stratification and role in tumor cell growth. Clin. Cancer Res. 2010, 16 (12), 3240– 52. 10.1158/1078-0432.CCR-10-0395. 20413433 · DOI
  25. Han B.; Meng X.; Wu P.; Li Z.; Li S.; Zhang Y.; Zha C.; Ye Q.; Jiang C.; Cai J.; Jiang T. ATRX/EZH2 complex epigenetically regulates FADD/PARP1 axis, contributing to TMZ resistance in glioma. Theranostics 2020, 10 (7), 3351– 3365. 10.7150/thno.41219. 32194873 PMC7053195 · DOI
  26. Du Z.; Chen X.; Zhu P.; Sun W.; Lv Q.; Cheng S.; Yang X.; Yu X. SOX8 Knockdown Overcomes Enzalutamide Resistance in Castration-Resistant Prostate Cancer by Inhibiting the Notch Signaling Pathway. Biomed Res. Int. 2022, 2022, 9235837 10.1155/2022/9235837. 36246971 PMC9560839 · DOI
  27. Bhat K. P. L.; Balasubramaniyan V.; Vaillant B.; Ezhilarasan R.; Hummelink K.; Hollingsworth F.; Wani K.; Heathcock L.; James J. D.; Goodman L. D.; Conroy S.; Long L.; Lelic N.; Wang S.; Gumin J.; Raj D.; Kodama Y.; Raghunathan A.; Olar A.; Joshi K.; Pelloski C. E.; Heimberger A.; Kim S. H.; Cahill D. P.; Rao G.; Den Dunnen W. F. A.; Boddeke H.; Phillips H. S.; Nakano I.; Lang F. F.; Colman H.; Sulman E. P.; Aldape K. Mesenchymal differentiation mediated by NF-kappaB promotes radiation resistance in glioblastoma. Cancer Cell 2013, 24 (3), 331– 46. 10.1016/j.ccr.2013.08.001. 23993863 PMC3817560 · DOI
  28. Lei G.; Zhang Y.; Koppula P.; Liu X.; Zhang J.; Lin S. H.; Ajani J. A.; Xiao Q.; Liao Z.; Wang H.; Gan B. The role of ferroptosis in ionizing radiation-induced cell death and tumor suppression. Cell Res. 2020, 30 (2), 146– 162. 10.1038/s41422-019-0263-3. 31949285 PMC7015061 · DOI · Paper page
  29. Berndt C.; Lillig C. H. Glutathione, Glutaredoxins, and Iron. Antioxid Redox Signal 2017, 27 (15), 1235– 1251. 10.1089/ars.2017.7132. 28537421 · DOI
  30. Hider R. C.; Kong X. L. Glutathione: a key component of the cytoplasmic labile iron pool. Biometals 2011, 24 (6), 1179– 87. 10.1007/s10534-011-9476-8. 21769609 · DOI · Paper page
  31. Zhao Y.; Li D.; Zhao J.; Song J.; Zhao Y. The role of the low-density lipoprotein receptor-related protein 1 (LRP-1) in regulating blood-brain barrier integrity. Rev. Neurosci 2016, 27 (6), 623– 34. 10.1515/revneuro-2015-0069. 27206317 · DOI
  32. Parrasia S.; Szabo I.; Zoratti M.; Biasutto L. Peptides as Pharmacological Carriers to the Brain: Promises, Shortcomings and Challenges. Mol. Pharmaceutics 2022, 19 (11), 3700– 3729. 10.1021/acs.molpharmaceut.2c00523. PMC9644402 36174227 · DOI
  33. Delello Di Filippo L.; Hofstatter Azambuja J.; Paes Dutra J. A.; Tavares Luiz M.; Lobato Duarte J.; Nicoleti L. R.; Olalla Saad S. T.; Chorilli M. Improving Temozolomide biopharmaceutical properties in glioblastoma multiforme (GBM) treatment using GBM-targeting nanocarriers. Eur. J. Pharm. Biopharm 2021, 168, 76– 89. 10.1016/j.ejpb.2021.08.011. 34461214 · DOI
  34. Minniti G.; Niyazi M.; Alongi F.; Navarria P.; Belka C. Current status and recent advances in reirradiation of glioblastoma. Radiat Oncol 2021, 16 (1), 36 10.1186/s13014-021-01767-9. 33602305 PMC7890828 · DOI
  35. Lei G.; Mao C.; Yan Y.; Zhuang L.; Gan B. Ferroptosis, radiotherapy, and combination therapeutic strategies. Protein Cell 2021, 12 (11), 836– 857. 10.1007/s13238-021-00841-y. 33891303 PMC8563889 · DOI
  36. Wang Y.; Zheng L.; Shang W.; Yang Z.; Li T.; Liu F.; Shao W.; Lv L.; Chai L.; Qu L.; Xu Q.; Du J.; Liang X.; Zeng J.; Jia J. Wnt/beta-catenin signaling confers ferroptosis resistance by targeting GPX4 in gastric cancer. Cell Death Differ. 2022, 29 (11), 2190– 2202. 10.1038/s41418-022-01008-w. 35534546 PMC9613693 · DOI
  37. Floros K. V.; Cai J.; Jacob S.; Kurupi R.; Fairchild C. K.; Shende M.; Coon C. M.; Powell K. M.; Belvin B. R.; Hu B.; Puchalapalli M.; Ramamoorthy S.; Swift K.; Lewis J. P.; Dozmorov M. G.; Glod J.; Koblinski J. E.; Boikos S. A.; Faber A. C. MYCN-Amplified Neuroblastoma Is Addicted to Iron and Vulnerable to Inhibition of the System Xc-/Glutathione Axis. Cancer Res. 2021, 81 (7), 1896– 1908. 10.1158/0008-5472.CAN-20-1641. 33483374 PMC9281612 · DOI
  38. Mao J.; Ran D.; Xie C.; Shen Q.; Wang S.; Lu W. EGFR/EGFRvIII Dual-Targeting Peptide-Mediated Drug Delivery for Enhanced Glioma Therapy. ACS Appl. Mater. Interfaces 2017, 9 (29), 24462– 24475. 10.1021/acsami.7b05617. 28685576 · DOI
  39. Zou Y.; Sun X.; Yang Q.; Zheng M.; Shimoni O.; Ruan W.; Wang Y.; Zhang D.; Yin J.; Huang X.; Tao W.; Park J. B.; Liang X. J.; Leong K. W.; Shi B. Blood-brain barrier-penetrating single CRISPR-Cas9 nanocapsules for effective and safe glioblastoma gene therapy. Sci. Adv. 2022, 8 (16), eabm8011 10.1126/sciadv.abm8011. 35442747 PMC9020780 · DOI · Paper page
  40. Gamboa C. M.; Jara K.; Pamarthy S.; Liu L.; Aiken R.; Xiong Z.; Danish S.; Sabaawy H. E. Generation of glioblastoma patient-derived organoids and mouse brain orthotopic xenografts for drug screening. STAR Protoc 2021, 2 (1), 100345 10.1016/j.xpro.2021.100345. 33665625 PMC7903462 · DOI

Authors
Liu, X., Cao, Z., Wang, W., Zou, C., Wang, Y., Pan, L., Jia, B., Zhang, K., Zhang, W., Li, W., Hao, Q., Zhang, Y., Zhang, W., Xue, X., Lin, W., Li, M., & Gu, J.
Affiliations
  • Xijing Hospital (CN)
  • State Key Laboratory of Cancer Biology (CN)
  • Shaanxi Normal University (CN)
Corresponding author
  • Lin, Wei
  • Li, Meng
  • Gu, Jintao
Venue
ACS Nano
Published
2023-08-30
Volume
17
Issue
17
Pages
16432-16447
ISSN
  • 1936-0851 (ISSN-L)
  • 1936-086X
OpenAlex
W4386271869
Cited by
132
References
42
Citations by year
2026: 42 · 2025: 55 · 2024: 33 · 2023: 2
FWCI
11.76
Type
journal article
Language
en
Open access
Locations
  • ACS Nano (publishedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
Funders
National Natural Science Foundation of China (81803053, 81872049, 82003220)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › CRISPR and Genetic Engineering
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Extracellular vesicles in disease
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Interference and Gene Delivery
Keywords
glioblastoma, radiosensitization, CRISPR/Cas9 gene therapy, extracellular vesicles, Angiopep-2, TAT peptide, blood-brain barrier targeting, glutathione synthetase, ferroptosis, GPX4, glutathione synthesis, radioresistance (biology), synthetic lethality, genome-wide CRISPR screen, orthotopic glioma model
MeSH terms
Extracellular Vesicles, RNA, Guide, CRISPR-Cas Systems, Animals, Glioblastoma, Glioma, Glutathione, Mice, CRISPR-Cas Systems

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review