Zebrafish as a biomodel in oncology, applications in the evaluation of therapies and gene vectors

Authors

Keywords:

biological model; gene therapies; oncology; zebrafish

Abstract

Introduction: Zebrafish (Danio rerio) has become a fundamental biological model in experimental medicine and oncology due to its high genetic homology with humans (82% in disease-associated genes), embryonic transparency, and ease of genetic manipulation.

Objective: To review the role of zebrafish in cancer research, focusing on its application for studying tumor progression and its relevance in innovative areas such as gene therapies.

Methods: A review of current scientific literature was conducted, analyzing studies that use zebrafish as a model in oncology. Studies without relevant experimental validation, opinion articles without empirical basis, or research that did not establish correlation with human cancer models were excluded.

Development: The transparency of the model and the development of transgenic lines facilitate direct observation and tracking of tumor cells. In gene therapy, zebrafish has been instrumental in testing and optimizing therapeutic gene delivery systems, both viral and non-viral. Furthermore, its use in preclinical studies has enabled the validation of innovative therapies, such as CAR-T cells, and genome editing strategies with CRISPR/Cas9, accelerating the development of targeted treatments.

Conclusions: Zebrafish constitutes a key vertebrate model for oncology, allowing real-time visualization of tumor progression and interaction with the microenvironment, while its high feasibility for gene editing positions it as a central platform in the development of innovative gene therapies.

Downloads

Download data is not yet available.

Author Biography

Yanier Nunez-Figueredo, Centro de Investigación y Desarrollo de Medicamentos. Laboratorio de Neurofarmacología Experimental. La Habana, Cuba.

Jefe del laboratorio de Neurofarmacología del CIDEM

References

1. Sanz JM, Lahoz AG, Silva A. El sistema inmune y el microambiente tumoral: componentes y función [Internet]. Med - Programa Form Médica Contin Acreditado. 2021; 13(33):1932-41. DOI: https://doi.org/10.1016/j.med.2021.05.006

2. Hu C, Sun L, Chen J, Lyu Z, Yuan C, Jiang X. Advantages of the zebrafish tumor xenograft model: the evaluation of efficacy in cancer therapy and the application to the study of lncRNAs [Internet]. Front Immunol. 2024; 15:1483192. DOI: 10.3389/fimmu.2024.1483192

3. Offringa R, Kötzner L, Huck B, Urbahns K. The expanding role for small molecules in immuno-oncology [Internet]. Nat Rev Drug Discov. 2022;21(11):821-40. DOI: 10.1038/s41573-022-00538-9

4. Alnefaie A, Albogami S, Asiri Y, Ahmad T, Alotaibi SS, Al-Sanea MM, et al. Chimeric Antigen Receptor T-Cells: An Overview of Concepts, Applications, Limitations, and Proposed Solutions [Internet]. Front Bioeng Biotechnol. 2022; 10:797440. DOI: 10.3389/fbioe.2022.797440

5. Fazio M, Ablain J, Chuan Y, Langenau DM, Zon LI. Zebrafish patient avatars in cancer biology and precision cancer therapy [Internet]. Nat Rev Cancer. 2020;20(5):263-73. DOI: 10.1038/s41568-020-0252-3

6. Singh V, Khan N, Jayandhara GR. Vector engineering, strategies and targets in cancer gene therapy [Internet]. Cancer Gene Ther. 2021; 29(5): 402-17. DOI: 10.1038/s41417-021-00331-7

7. Esteva FJ, Hubbard-Lucey VM, Tang J, Pusztai L. Immunotherapy and targeted therapy combinations in metastatic breast cancer [Internet]. Lancet Oncol. 2019;20(3):e175-86. DOI: 10.1016/S1470-2045(19)30026-9

8. Xia Y, Du Z, Wang X, Li X. Treatment of uterine sarcoma with rAd-p53 (gendicine) followed by chemotherapy: clinical study of TP53 gene therapy [Internet]. Hum Gene Ther. 2018;29(2):242-50. DOI: https://doi.org/10.1089/hum.2017.206

9. Lazzari C, Spagnolo CC, Ciappina G, Di Pietro M, Squeri A, Passalacqua MI, et al. Immunotherapy in Early-Stage Non-Small Cell Lung Cancer (NSCLC): Current Evidence and Perspectives [Internet]. Curr Oncol. 2023;30(4): 3684-96. DOI: 10.3390/curroncol30040280

10. Zu H, Gao D. Non-viral Vectors in Gene Therapy: Recent Development, Challenges, and Prospects [Internet]. AAPS J. 2021;23(4):78. DOI: 10.1208/s12248-021-00608-7

11. Itez GG, Sunguroğlu A. CAR-T Therapy in Multiple Myeloma: Beyond Prejudice, Towards Value [Internet]. MDPI AG (Preprint). 2025: [aprox. 23 p]. DOI: https://doi.org/10.20944/preprints202509.2132.v1

12. Song G, Qi X, Zhao Y. iRGD Tumor Penetrating Peptide-Modified NK Cells Exhibit Enhanced Tumor Immune Infiltration Ability and Anti-Tumor Efficacy [Internet]. Protein Pept Lett. 2025;32(3):183-93. DOI: https://doi.org/10.2174/0109298665348639250115113650

13. Wawruszak A, Okoń E, Dudziak K. Advancements in Zebrafish Models for Breast Cancer Research: Unveiling Biomarkers, Targeted Therapies, and Personalized Medicine [Internet]. Med Sci Monit. 2023;29:e940550. DOI: 10.12659/MSM.940550

14. Astell KR, Sieger D. Zebrafish In Vivo Models of Cancer and Metastasis [Internet]. Cold Spring Harb Perspect Med. 2020; 10(10):a037077. DOI: 10.1101/cshperspect.a037077

15. Gautam MK, Panda PK, Dubey A, Kumari M, Ghosh NS. Zebrafish as a Fascinating Animal Model: A Robust Platform for in vivo Screening for Biomedical Research. Int J Pharm Investig. 2024; 14(3):681-92. DOI: 10.5530/ijpi.14.3.80

16. Pishas KI, Lessnick SL. Recent Advances in Targeted Therapy for Ewing Sarcoma. F1000Res. 2016;5: F1000 Faculty Rev-2077. [Version 1]. DOI: 10.12688/f1000research.8631.1

17. Cabezas-Sáinz P, Pensado-López A, Sáinz B, Sánchez L. Modeling cancer using zebrafish xenografts: Drawbacks for mimicking the human microenvironment [Internet]. Cells. 2020; 9(9):1978. DOI: https://doi.org/10.3390/cells9091978

18. Ferrero G, Gomez E, Lyer S, Rovira M, Miserocchi M, Langenau DM, et al. The macrophage-expressed gene (mpeg) 1 identifies a subpopulation of B cells in the adult zebrafish [Internet]. J Leukoc Biol. 2020; 107(3):431-43. DOI: https://doi.org/10.1002/JLB.1A1119-223R

19. Hall C, Flores M, Storm T, Croster K, Croster P. The zebrafish lysozyme C promoter drives myeloid-specific expression in transgenic fish [Internet]. BMC Dev Biol. 2007; 7:42. DOI: https://doi.org/10.1186/1471-213X-7-42

20. Sullivan C, Jurriens D, Sipkens J, Nguyen K, Hurlstone A, Brugman S. Zebrafish: an emerging model to study the cellular dynamics of inflammation in development, regeneration, and disease [Internet]. Front Cell Dev Biol. 2023; 10:1102381. DOI: 10.3389/fcell.2022.1102381

21. Yan C, Brunson DC, Tang Q, Do D, Iftimia NA, Moore JC, et al. Visualizing engrafted human cancer and therapy responses in immunodeficient zebrafish [Internet]. Cell. 2019; 177(7):1903-14.e14. DOI: https://doi.org/10.1016/j.cell.2019.04.004

22. Dudziak K, Nowak M, Sozoniuk M. One host-multiple applications: Zebrafish (Danio rerio) as promising model for studying human cancers and pathogenic diseases [Internet]. Int J Mol Sci. 2022; 23(18):10255. DOI: https://doi.org/10.3390/ijms231810255

23. Facchinello N, Schiavone MG, Al-Hamaly MA, Antonelli L, Tiso N, Gioacchini G, et al. Zebrafish cancer avatars: A translational platform for analyzing tumor heterogeneity and predicting patient outcomes [Internet]. Int J Mol Sci. 2023; 24(3):2288. DOI: https://doi.org/10.3390/ijms24032288

24. Robertson AL, Yue L, Choudhuri A, Kubaczka C, Wattrus SJ, Mandelbaum J, et al. Hematopoietic stem cell division is governed by distinct RUNX1 binding partners [Internet]. bioRxiv [Preprint]. 2024. DOI: 10.1101/2024.06.07.596542

25. Miao K, Kim G, Meara G, Qin X, Feng H. Tipping the Scales With Zebrafish to Understand Adaptive Tumor Immunity [Internet]. Front Cell Dev Biol. 2021; 9:660969. DOI: 10.3389/fcell.2021.660969

26. Tian HF, Xing J, Tang XQ, Chi H, Sheng XZ, Zhan WB. Cluster of differentiation antigens: essential roles in the identification of teleost fish T lymphocytes [Internet]. Mar Life Sci Technol. 2022;4(3):303-16. DOI: 10.1007/s42995-022-00136-z

27. Cariati M, Marlow R, Dontu G. Xenotransplantation of Breast Cancers Cancer cell culture [Internet]. Methods Mol Biol. 2011; 731:471-82. DOI: https://doi.org/10.1007/978-1-61779-080-5_38

28. Chen X, Li Y, Wang Z, Zhang H, Liu J, Wu S, et al. Benefits of zebrafish xenograft models in cancer research [Internet]. Front Cell Dev Biol. 2021;9:616551. DOI: 10.3389/fcell.2021.616551

29. Barbosa GR, de Souza AM, Silva PF, Fávero CS, de Oliveira JL, Carvalho HF, et al. Zebrafish as a Model for Translational Immuno-Oncology [Internet]. J Pers Med. 2025; 15(7):304. DOI: 10.3390/jpm15070304

30. Xiao J, Glasgow E, Agarwal S. Zebrafish xenografts for drug discovery and personalized medicine [Internet]. Trends Cancer. 2020; 6(7):569-79. DOI: 10.1016/j.trecan.2020.03.012

31. Lee LM, Seftor EA, Bonde G, Cornell RA, Hendrix MJ. The fate of human malignant melanoma cells transplanted into zebrafish embryos: assessment of migration and cell division in the absence of tumor formation [Internet]. Dev Dyn. 2005; 233(4):1560-70. DOI: 10.1002/dvdy.20471

32. Stoletov K, Montel V, Lester RD, Gonias SL, Klemke R. High-resolution imaging of the dynamic tumor cell-vascular interface in transparent zebrafish [Internet]. Proc Natl Acad Sci U S A. 2007; 104(44):17406-11. DOI: https://doi.org/10.1073/pnas.0703446104

33. Haldi M, Ton C, Seng WL, McGrath P. Human melanoma cells transplanted into zebrafish proliferate, migrate, produce melanin, form masses and stimulate angiogenesis in zebrafish [Internet]. Angiogenesis. 2006;9(3):139-51. DOI: 10.1007/s10456-006-9040-2

34. Veinotte CJ, Dellaire G, Berman JN. Hooking the big one: the potential of zebrafish xenotransplantation to reform cancer drug screening in the genomic era [Internet]. Dis Model Mech. 2014; 7(7):745-54. DOI: 10.1242/dmm.015784

35. Pascoal S, Salzer B, Scheuringer E, Wenninger-Weinzierl A, Sturtzel C, Holter W, et al. A preclinical embryonic zebrafish xenograft model to investigate CAR T cells in vivo [Internet]. Cancers (Basel). 2020; 12(3):567. DOI: https://doi.org/10.3390/cancers12030567

36. Fior R, Póvoa V, Mendes RV, Carvalho T, Gomes A, Figueiredo N, et al. Single-cell functional and chemosensitive profiling of combinatorial colorectal therapy in zebrafish xenografts. Proc Natl Acad Sci USA. 2017; 114(39):E8234-E8243. DOI: https://doi.org/10.1073/pnas.1618389114

37. Cabezas-Sainz P, Lago-Baameiro N, Vázquez-Ríos AJ, Piñeiro R, Pensado-López A, Bravo SB, et al. Morphological abnormalities and gene expression changes caused by high incubation temperatures in zebrafish xenografts with human cancer cells [Internet]. Genes (Basel). 2021;12(1):113. DOI: 10.3390/genes12010113

38. Chaudhary KR, Kinslow CJ, Cheng H, Silva JM, Yu J, Wang TJ, et al. Smurf2 inhibition enhances chemotherapy and radiation sensitivity in non-small-cell lung cancer [Internet]. Sci Rep. 2022;12(1):10140. DOI: 10.1038/s41598-022-14448-8

39. Khatib TO, Pedro BA, Bombin S, Matsuk VY, Robinson IE, Webster SF, et al. TGF-β1-mediated intercellular signaling fuels cooperative cellular invasion [Internet]. Cell Rep. 2025;44(2):115315. DOI: 10.1016/j.celrep.2025.115315

40. Cai W, Fan T, Xiao C, Deng Z, Liu Y, Li c, et al. Neutrophils in cancer: At the crucial crossroads of anti‐tumor and pro‐tumor. Cancer Communications, 2025; 45(8):888-913. DOI: 10.1002/cac2.70027

41. Kanthirigala SK, Palle K, Palle K. Engineered nanoparticle systems targeting tumor angiogenesis: bridging molecular mechanisms and therapeutic innovations [Internet]. Biomater Sci. 2026;14(3):215-30. DOI: 10.1039/D5BM01787D

42.Nicoli S, Ribatti D, Cotelli F, Presta M. Mammalian tumor xenografts induce neovascularization in zebrafish embryos [Internet]. Cancer Res. 2007; 67(7):2927-31. DOI: 10.1158/0008-5472.CAN-06-4268

43. Pruvot B, Jacquel A, Droin N, Auberger P, Bouscary D, Tamburini J, et al. Leukemic cell xenograft in zebrafish embryo for investigating drug efficacy [Internet]. Haematologica. 2011; 96(4):612-6. DOI: 10.3324/haematol.2010.031401

44. Emminger D. YB-1 drives aggressive behavior of mesothelioma cells and YB-1 inhibition sensitizes mesothelioma cells to chemotherapy [Internet]. [Tesis doctoral]. Universidad Veterinaria de Viena; 2020. Disponible en: https://phaidra.vetmeduni.ac.at/detail/o:1528

45. Yin J, Cao Y, He S, Huang Z, Wang Y, Zhang L, et al. Zebrafish patient-derived xenograft model as a preclinical platform for uveal melanoma drug discovery [Internet]. Pharmaceuticals (Basel). 2023;16(4):598. DOI: 10.3390/ph16040598

46. Wang X, Liu Y, Zhang H, Chen Z, Li J, Yang S, et al. Zebrafish xenograft model for studying pancreatic cancer-instructed innate immune microenvironment [Internet]. Int J Mol Sci. 2022;23(12):6442. DOI: 10.3390/ijms23126442

47. Asokan N, Daetwyler S, Bernas SN, Schmied C, Vogler S, Lambert K, et al. Long-term in vivo imaging reveals tumor-specific dissemination and captures host tumor interaction in zebrafish xenografts [Internet]. Sci Rep. 2020;10(1):13254. DOI: 10.1038/s41598-020-69956-2

48. Ritch SJ, Telleria CM. The transcoelomic ecosystem and epithelial ovarian cancer dissemination [Internet]. Front Endocrinol (Lausanne). 2022;13:886533. DOI: 10.3389/fendo.2022.886533

49. Ai X, Ye Z, Xiao B, Zhang Y, Chen Q, Xu J, et al. Clinically relevant orthotopic xenograft models of patient-derived glioblastoma in zebrafish. Dis Model Mech. 2022;15(4):49109. DOI: 10.1242/dmm.049109

50. Gaudenzi G, Vitale G. Transplantable zebrafish models of neuroendocrine tumors [Internet]. Ann Endocrinol (Paris). 2019;80 (3):149-52. DOI: 10.1016/j.ando.2019.04.005

51. Vargas-Patron LA, Agudelo-Dueñas N, Madrid-Wolff J, Venegas JA, González JM, Forero-Shelton M, et al. Xenotransplantation of Human glioblastoma in Zebrafish larvae: in vivo imaging and proliferation assessment [Internet]. Biol Open. 2019; 8(5):43257. DOI: https://doi.org/10.1242/bio.043257

52. Bottiglione F, Dee CT, Lea R, Zeef LAH, Badrock AP, Wane M, et al. Zebrafish IL-4-like cytokines and IL-10 suppress inflammation but only IL-10 is essential for gill homeostasis [Internet]. J Immunol. 2020;205(4):994-1008. DOI: 10.4049/jimmunol.2000295

53. Byrne AT, Alférez DG, Amant F, Annibali D, Arribas J, Biankin AV, et al. Interrogating open issues in cancer precision medicine with patient-derived xenografts [Internet]. Nat Rev Cancer. 2017;17(4):254-68. DOI: 10.1038/nrc.2016.140

54. Patton EE, Zon LI, Langenau DM. Zebrafish disease models in drug discovery: from preclinical modelling to clinical trials [Internet]. Nat Rev Drug Discov. 2021; 20(8):611-28. DOI: https://doi.org/10.1038/s41573-021-00210-8

55. Jin Y, Wei L, Jiang Q, Song X, Teng C, Fan C, et al. Comparison of efficacy and toxicity of bevacizumab, endostar and apatinib in transgenic and human lung cancer xenograft zebrafish model [Internet]. Sci Rep. 2018; 8(1):15837. DOI: https://doi.org/10.1038/s41598-018-34030-5

56. Miyawaki I. Application of zebrafish to safety evaluation in drug discovery [Internet]. J Toxicol Pathol. 2020;33(4):197-210. DOI: 10.1293/tox.2020-0027

57. Murali Shankar N, Ortiz-Montero P, Kurzyukova A, Rackwitz W, Künzel SR, Wels WS, et al. Preclinical assessment of CAR-NK cell-mediated killing efficacy and pharmacokinetics in a rapid zebrafish xenograft model of metastatic breast cancer [Internet]. Front Immunol. 2023; 14:1254821. DOI: https://doi.org/10.3389/fimmu.2023.1254821

58. Yu Y, Cheng Q, Ji Y, Wang Z, Liu J, Zhang L, et al. Biomaterial-based gene therapy [Internet]. MedComm (Beijing). 2023;4(3):e259. DOI: 10.1002/mco2.259

59. Kutle I, Polten R, Hachenberg J, Zimmermann K, Schambach A, Morgan M, et al. Anti-Mesothelin CAR-NK cells as a novel targeted therapy against cervical cancer [Internet]. Front Immunol. 2024;15:1485461. DOI: 10.3389/fimmu.2024.1485461

60. Mittal M, Kumari A, Paul B, Varshney A, Bhavya, Saini A, et al. Challenges and opportunities of gene therapy in cancer [Internet]. OBM Genet. 2024;8(1):1-501. DOI: 10.21926/obm.genet.2401219

61. Mashima R, Takada S. Lipid nanoparticles: a novel gene delivery technique for clinical application [Internet]. Curr Issues Mol Biol. 2022;44(10):5013-27. DOI: 10.3390/cimb44100341

62. Zhou Z, Liu X, Zhu D, Wang Y, Zhang Z, Zhou X, et al. Nonviral cancer gene therapy: Delivery cascade and vector nanoproperty integration [Internet]. Adv Drug Deliv Rev. 2017; 115:115-54. DOI: https://doi.org/10.1016/j.addr.2017.07.021

63. Park CS, Oh S, Kim Y, Lee J, Park S, Choi J, et al. Applications of CRISPR technologies to the development of gene and cell therapy [Internet]. BMB Rep. 2024;57(1):2-11. DOI: 10.5483/BMBRep.2023-0192

64. Sheikh S, Ernst D, Keating A. Prodrugs and prodrug-activated systems in gene therapy [Internet]. Mol Ther. 2021;29(5):1716-28. DOI: 10.1016/j.ymthe.2021.04.006

65. Taghdir M, Mussolino C. Viral and non-viral systems to deliver gene therapeutics to clinical targets [Internet]. Int J Mol Sci. 2024;25(13):7333. DOI: 10.3390/ijms25137333

66. Gavas S, Quazi S, Karpinski TM. Nanoparticles for Cancer Therapy: Current Progress and Challenges [Internet]. Nanoscale Res Lett. 2021; 16(1):173. DOI: https://doi.org/10.1186/s11671-021-03628-6

67. Sueira MS, Santos ES, Araujo RL, Silva LF, Oliveira MC, Costa AL, et al. Oral toxicities associated with immunotherapy and targeted therapy in cancer treatment [Internet]. Oral Oncol Rep. 2025;13:100724. DOI: 10.1016/j.oor.2024.100724

68. Dailey GP, Crosby EJ, Hartman ZC. Cancer vaccine strategies using self-replicating RNA viral platforms [Internet]. Cancer Gene Ther. 2023;30(6):794-802. DOI: 10.1038/s41417-022-00499-6

69. Yoder KE, Rabe A, Fishel R, Larue RC, Fuchs JR, Skalka AM, et al. Strategies for targeting retroviral integration for safer gene therapy: advances and challenges [Internet]. Front Mol Biosci. 2021;8:662331. DOI: 10.3389/fmolb.2021.662331

70. Zhang J, Liu Y, Zang M, Zhu S, Chen B, Li S, et al. Lentivirus mediated CDglyTK gene-modified free flaps by intra-artery perfusion show targeted therapeutic efficacy in rat model of breast cancer [Internet]. BMC Cancer. 2019; 19(1):1-11. DOI: https://doi.org/10.1186/s12885-019-6111-5

71. Mokkapati S, Narayan VM, Manyam GC, Lim AH, Duplisea JJ, Kokorovic A, et al. Lentiviral interferon: a novel method for gene therapy in bladder cancer [Internet]. Mol Ther Oncolytics. 2022;26:141-57. DOI: 10.1016/j.omto.2022.06.005

72. Manchon E, Hirt N, Versier B, Soundiramourty A, Juricek L, Lebbe C, et al. Harnessing nutrient scarcity for enhanced CAR-T-cell potency and safety in solid tumors [Internet]. Cell Mol Immunol. 2025; 22, 645–660. DOI: 10.1038/s41423-025-01290-x

73. Tseha ST. Role of adenoviruses in cancer therapy [Internet]. Front Oncol. 2022; 12:772659. DOI: 10.3389/fonc.2022.772659

74. Ehrke-Schulz E, Heinemann S, Schulte L, Schiwon M, Ehrhardt A. Adenoviral vectors armed with PAPILLOMAVIRUS oncogene specific CRISPR/Cas9 kill human-papillomavirus-induced cervical cancer cells [Internet]. Cancers (Basel). 2020; 12(8):1934. DOI: https://doi.org/10.3390/cancers12071934

75. Byrne BJ, Flanigan KM, Matesanz SE, Finkel RS, Waldrop MA, D'Ambrosio ES, et al. Current clinical applications of AAV-mediated gene therapy [Internet]. Mol Ther. 2025; 33(6):2479-516. DOI: 10.1016/j.ymthe.2025.04.045

76. Wang JH, Gessler DJ, Zhan W, Gallagher TL, Gao G. Adeno-associated virus as a delivery vector for gene therapy of human diseases [Internet]. Signal Transduct Target Ther. 2024;9(1):78. DOI: 10.1038/s41392-024-01780-w

77. Maksimov DO, Naumova DA, Astakhova EA, Artemev VV, Biryukov SA, Abramov IS, et al. In vivo evaluation of tropism and biodistribution of synthetic and natural adeno-associated viral vectors by next-generation sequencing [Internet]. Biopreparados: Prevención, diagnóstico y tratamiento.. 2024; 24(2):215-28. DOI: 10.30895/2221-996X-2024-24-2-215-228

78. Sung YK, Kim SW. Recent advances in the development of gene delivery systems [Internet]. Biomater Res. 2019; 23(1):8. DOI: 10.1186/s40824-019-0156-z

79. Santana-Armas ML, Tros de Ilarduya C. Strategies for cancer gene-delivery improvement by non-viral vectors [Internet]. Int J Pharm. 2021;596:120291. DOI: 10.1016/j.ijpharm.2021.120291

80. Jiang C, Chen J, Li Z, Wang Z, Zhang W, Liu J. Recent advances in the development of polyethylenimine-based gene vectors for safe and efficient gene delivery [Internet]. Expert Opin Drug Deliv. 2019; 16(4):363-76. DOI: 10.1186/s40824-019-0156-z

81. Luo X, Wen W. MicroRNA in prostate cancer: from biogenesis to applicative potential [Internet]. BMC Urol. 2024;24(1):244. DOI: 10.1186/s12894-024-01634-1

82. Habibizadeh M, Lotfollahzadeh S, Mahdavi P, Mohammadi S, Tavallaei O. Nanoparticle-mediated gene delivery of TRAIL to resistant cancer cells: a review [Internet]. Heliyon. 2024;10(16):e36057. DOI: 10.1016/j.heliyon.2024.e36057

83. Baig B, Halim SA, Farrukh A, Greish Y, Amin A. Current status of nanomaterial-based treatment for hepatocellular carcinoma [Internet]. Biomed Pharmacother. 2019; 116:108852. DOI: https://doi.org/10.1016/j.biopha.2019.108852

84. Li D, Gao C, Kuang M, Xu M, Wang B, Luo Y, et al. Nanoparticles as drug delivery systems of RNAi in cancer therapy [Internet]. Molecules. 2021;26(8):2380. DOI: 10.3390/molecules26082380

85. Diep YN, Kim TJ, Cho H, Lee LP. Nanomedicine for advanced cancer immunotherapy [Internet]. J Control Release. 2022; 351:1017-37. DOI: https://doi.org/10.1016/j.jconrel.2022.10.004

86. Mohammad-Hadi L, Mohammad-Hadi M. 3D in vitro cancer models [Internet]. In: Mohammad-Hadi L, Mohammad-Hadi M. Applications of minimally invasive nanomedicine-based therapies in 3D in vitro cancer platforms. Cham: Springer; 2021. p. 85-102. DOI: https://doi.org/10.1007/978-3-031-02388-0_5

87. Ueda Y, Kawamoto K, Konno M, Noguchi K, Kaifuchi S, Satoh T, et al. Application of C. elegans cancer screening test for the detection of pancreatic tumor in genetically engineered mice [Internet]. Oncotarget. 2019; 10(53):5412-8. DOI: 10.18632/oncotarget.27124

88. Hason M, Bartůnĕk P. Zebrafish models of cancer-new insights on modeling human cancer in a non-mammalian vertebrate [Internet]. Genes (Basel). 2019; 10(11):1-30. DOI: https://doi.org/10.3390/genes10110935

89. Sharpe JL, Morgan J, Poon C, Tian A, Bruckner K, Richardson HE. Modelling cancer metastasis in Drosophila melanogaster [Internet]. Cells. 2023;12(5):677. DOI: 10.3390/cells12050677

90. Bosenberg M, Merlino G, Chen Q, Liu Y, Patel S, Zhou X, et al. Mouse models for immuno-oncology [Internet]. Trends Cancer. 2023;9(7):578-90. DOI: 10.1016/j.trecan.2023.03.010

91. Horzmann KA, Freeman JL. Making waves: New developments in toxicology with the zebrafish [Internet]. Toxicol Sci. 2018; 163(1):5-12. DOI: https://doi.org/10.1093/toxsci/kfy044

92. Pensado-López A, Fernández-Rey J, Reimunde P, Crecente-Campo J, Sánchez L, Alonso MJ, et al. Zebrafish models for the safety and therapeutic testing of nanoparticles with a focus on macrophages [Internet]. Nanomaterials (Basel). 2021;11(7):1784. DOI: 10.3390/nano11071784

93. Al-Thani HF, Shurbaji S, Yalcin HC. Zebrafish as a model for anticancer nanomedicine studies [Internet]. Pharmaceuticals (Basel). 2021; 14(7):625. DOI: https://doi.org/10.3390/ph14070625

Published

2026-04-22

How to Cite

1.
Sánchez Miralles T, Fernández Puentes S, Morín Fanego K, Aldana Mulet Y, Cabrera Márquez D, Cisneros Campo A, et al. Zebrafish as a biomodel in oncology, applications in the evaluation of therapies and gene vectors. Rev. cuba. med. mil [Internet]. 2026 Apr. 22 [cited 2026 Apr. 26];55(2):e026077292. Available from: https://revmedmilitar.sld.cu/index.php/mil/article/view/77292