Animal Models in Cancer Studies: A Review of Translational Gaps to Clinical Settings

Main Article Content

Parichehr Ebrahimi Shahabadi
Mohammad Ali Nazmabadi Nezhad
Sima Saravani

Abstract

Animal models have been the primary factor in preclinical cancer studies for decades. Despite advances in molecular biology and cell culture, translating animal findings into human trials remains challenging. The present study aimed to comprehensively assess the role of animal models in cancer studies, their contribution to the discovery of new therapies, and their success in predicting human responses. A search was conducted in the PubMed, Web of Science, and Scopus databases for English-language articles published between 2018 and 2025. Inclusion criteria were studies employing animal models (mice, rats, pigs, dogs) and xenograft models that investigated cancer development, metastasis, or treatment, with findings relevant to humans. Of the 3,247 articles found, 94 studies met the inclusion criteria and were ultimately assessed and studies. Genetically engineered mice and human tumor-derived xenograft models were the most common models. In most studies, animal models successfully predicted responses to chemotherapy and immunotherapy. The most important limiting factors included species differences in medication metabolism, differences in tumor microenvironment, and a lack of complete representation of human tumor heterogeneity. Animal models remain indispensable tools for discovering cancer therapies and understanding tumor biology, especially for assessing drug toxicity and pharmacokinetics.

Article Details

How to Cite
Ebrahimi Shahabadi, P., Nazmabadi Nezhad, M. A., & Saravani, S. (2026). Animal Models in Cancer Studies: A Review of Translational Gaps to Clinical Settings. Journal of Lab Animal Research, 5(3), 59–65. Retrieved from https://jlar.rovedar.com/index.php/JLAR/article/view/110
Section
Review Article
Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors, and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

Ellison GW, Case JB, and Regier PJ. Intestinal surgery in small animals: Historical foundations, current thinking, and future horizons. Vet Surg. 2019; 48(7): 1171-1180. DOI: 10.1111/vsu.13275

Follette CM, Giuffrida MA, Balsa IM, Culp WT, Mayhew PD, Oblak ML, et al. A systematic review of criteria used to report complications in soft tissue and oncologic surgical clinical research studies in dogs and cats. Vet Surg. 2020; 49(1): 61-69. DOI: 10.1111/vsu.13279

Bojrab MJ, Waldron DR, and Toombs JP. Current techniques in small animal surgery, 5th ed. CRC Press; 2014. DOI: 10.1201/b17702

Nelson LL. Surgical site infections in small animal surgery. Vet Clin North Am Small Anim. Pract. 2011; 41(5): 1041-1056. DOI: 10.1016/j.cvsm.2011.05.010

Griffon D, and Hamaide A. Complications in small animal surgery. John Wiley & Sons, 2016. p. 8-14. DOI: 10.1002/9781119421344

Verwilghen D, and Singh A. Fighting surgical site infections in small animals: Are we getting anywhere?. Vet Clin North Am Small Anim Pract. 2015; 45(2): 243-276. DOI: 10.1016/j.cvsm.2014.11.001

Pailler S, Dolan ED, Slater MR, Gayle JM, Lesnikowski SM, DeClementi C, et al. Owner-reported long-term outcomes, quality of life, and longevity after hospital discharge following surgical treatment of pyometra in bitches and queens. J Am Vet Med Assoc. 2022; 260(2): 57-63. DOI: 10.2460/javma.20.12.0714

Greenhalgh SN, Reeve JA, Johnstone T, Goodfellow MR, Dunning MD, O'Neill EJ, et al. Long-term survival and quality of life in dogs with clinical signs associated with a congenital portosystemic shunt after surgical or medical treatment. J Am Vet Med Assoc. 2014; 245(5): 527-533. DOI: 10.2460/javma.245.5.527

Kipperman BS, Kass PH, and Rishniw M. Factors that influence small animal veterinarians' opinions and actions regarding cost of care and effects of economic limitations on patient care and outcome and professional career satisfaction and burnout. J Am Vet Med Assoc. 2017; 250(7): 785-794. DOI: 10.2460/javma.250.7.785

Moran CM, and Thomson AJ. Preclinical ultrasound imaging-a review of techniques and imaging applications. Front Phys. 2020; 8: 124. DOI: 10.3389/fphy.2020.00124

Kagadis GC, Loudos G, Katsanos K, Langer SG, and Nikiforidis GC. In vivo small animal imaging: Current status and future prospects. Med Phys. 2010; 37(12): 6421-6442. DOI: 10.1118/1.3515456

Yitbarek D, and Dagnaw GG. Application of advanced imaging modalities in veterinary medicine: A review. Vet Med Res Rep. 2022; 13: 117-130. DOI: 10.2147/VMRR.S367040

Gielen I, Caelenberg A, and Bree H. Clinical applications of computed tomography (CT) and magnetic resonance imaging (MRI) in small animals. Eur J Companion Anim Pract. 2012; 22(4): 84-103. Available at: http://hdl.handle.net/1854/LU-3091268

Ufuk F, Ocak İ, Chelala L, and Landeras L. Postoperative pulmonary complications: Clinical and imaging insights. Balkan Med J. 2025; 42(5): 405. DOI: 10.4274/balkanmedj.galenos.2025.2025-7.135

Safai Zadeh E, Görg C, Prosch H, Horn R, Jenssen C, and Dietrich CF. The role of thoracic ultrasound for diagnosis of diseases of the chest wall, the mediastinum, and the diaphragm-narrative review and pictorial essay. Diagnostics. 2023; 13(4): 767. DOI: 10.3390/diagnostics13040767

Vervoorn MT, Wulfse M, Mohamed Hoesein FA, Stellingwerf M, van der Kaaij NP, and de Heer LM. Application of three-dimensional computed tomography imaging and reconstructive techniques in lung surgery: A mini-review. Front Surg. 2022; 9: 1079857. DOI: 10.3389/fsurg.2022.1079857

Johnston SA, and Tobias KM. Veterinary surgery: Small animal. 2nd ed. Elsevier, 2017.

Mayhew PD. Complications of minimally invasive surgery in companion animals. Vet Clin North Am Small Anim Pract. 2011; 41(5): 1007-1021. DOI: 10.1016/j.cvsm.2011.05.008

Stieger‐Vanegas SM. Gastrointestinal imaging. Clinical small animal internal medicine. Wiley, 2020. p. 467-505. DOI: 10.1002/9781119501237.ch48

Kneissl SM, Prüllage ML, Vali Y, Vodnarek J, Klang A, Dolezal M, et al. Comparison of pre-and intraoperative findings in 35 cats and 60 dogs presenting with gastrointestinal signs. Front Vet Sci. 2025; 12: 1562792. DOI: 10.3389/fvets.2025.1562792

Boston S, and Henderson RA. Role of surgery in multimodal cancer therapy for small animals. Vet Clin North Am Small Anim Pract. 2014; 44(5): 855-870. DOI: 10.1016/j.cvsm.2014.05.008

Frey TN, Hoelzler MG, Scavelli TD, Fulcher RP, and Bastian RP. Risk factors for surgical site infection-inflammation in dogs undergoing surgery for rupture of the cranial cruciate ligament: 902 cases (2005-2006). J Am Vet Med Assoc. 2010; 236(1): 88-94. DOI: 10.2460/javma.236.1.88

Blondel M, Sonet J, Cachon T, Ségard‐Weisse E, Ferrand FX, and Carozzo C. Comparison of imaging techniques to detect migrating foreign bodies. Relevance of preoperative and intraoperative ultrasonography for diagnosis and surgical removal. Vet Surg. 2021; 50(4): 833-842. DOI: 10.1111/vsu.13607

Guiot LP, and Déjardin LM. Perioperative imaging in minimally invasive osteosynthesis in small animals. Vet Clin North Am Small Anim Pract. 2012; 42(5): 897-911. DOI: 10.1016/j.cvsm.2012.06.003

Moher D, Liberati A, Tetzlaff J, Altman DG, and Group P. Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. Int J Surg. 2010; 8(5): 336-341. DOI: 10.1016/j.ijsu.2010.02.007

Alam IS, Steinberg I, Vermesh O, van den Berg NS, Rosenthal EL, van Dam GM, et al. Emerging intraoperative imaging modalities to improve surgical precision. Mol Imaging Biol. 2018; 20(5): 705-715. DOI: 10.1007/s11307-018-1227-6

Knight SR, Shaw CA, Pius R, Drake TM, Norman L, Ademuyiwa AO, et al. Global variation in postoperative mortality and complications after cancer surgery: A multicentre, prospective cohort study in 82 countries. Lancet. 2021; 397(10272): 387-397. DOI: 10.1016/S0140-6736(21)00001-5

Gans SL, Stoker J, and Boermeester MA. Plain abdominal radiography in acute abdominal pain; past, present, and future. Int J Gen Med. 2012; 5: 525-533. DOI: 10.2147/IJGM.S17410

von Stade L, and Sadar MJ. Advanced imaging of small mammals. Adv Small Anim Care. 2024; 5(1): 51-65. DOI: 10.1016/j.yasa.2024.06.004

Hölscher AH, Vallböhmer D, and Brabender J. The prevention and management of perioperative complications. Best Pract Res Clin Gastroenterol. 2006; 20(5): 907-923. DOI: 10.1016/j.bpg.2006.05.002

Tweedle E. Postoperative complications. In: Watson C, and Davies J, editors. Ellis and Calne's Lecture notes in general surgery. Wiley, 2023. p. 27-48. DOI: 10.1002/9781394322008.ch5

Cunha L, Horvath I, Ferreira S, Lemos J, Costa P, Vieira D, et al. Preclinical imaging: An essential ally in modern biosciences. Mol Diagn Ther. 2014; 18(2): 153-173. DOI: 10.1007/s40291-013-0062-3

Hurtig MB, Buschmann MD, Fortier LA, Hoemann CD, Hunziker EB, Jurvelin JS, et al. Preclinical studies for cartilage repair: Recommendations from the international cartilage repair society. Cartilage. 2011; 2(2): 137-152. DOI: 10.1177/1947603511401905

Hildebrandt IJ, Su H, and Weber WA. Anesthesia and other considerations for in vivo imaging of small animals. ILAR J. 2008; 49(1): 17-26. DOI: 10.1093/ilar.49.1.17

Van der Linden A, Van Camp N, Ramos‐Cabrer P, and Hoehn M. Current status of functional MRI on small animals: Application to physiology, pathophysiology, and cognition. NMR Biomed. 2007; 20(5): 522-545. DOI: 10.1002/nbm.1131

Albahrawy M, Abass M, Mosbah E, Karrouf G, and Zaghloul A. A narrative review on pathophysiology and the trends in preventing colon anastomotic leakage in animals. Mansoura Vet Med J. 2024; 25(2): 3. DOI: 10.35943/2682-2512.1235

Guyton KL, Hyman NH, and Alverdy JC. Prevention of perioperative anastomotic healing complications: Anastomotic stricture and anastomotic leak. Adv Surg. 2016; 50(1): 129. DOI: 10.1016/j.yasu.2016.03.011

Johnson C, Lapsley J, Piegols H, and Selmic L. Surgical approach and presence of preoperative pleural effusion impact thoracostomy tube usage in dogs and cats following thoracic surgery for suspected neoplasia. J Am Vet Med Assoc. 2024; 262(7): 1-7. DOI: 10.2460/javma.24.01.0005

Pawloski DR, and Broaddus KD. Pneumothorax: A review. J Am Anim Hosp Assoc. 2010; 46(6): 385-397. DOI: 10.5326/0460385

Epstein SE. Exudative pleural diseases in small animals. Vet Clin North Am Small Anim Pract. 2014; 44(1): 161-180. DOI: 10.1016/j.cvsm.2013.08.005

Lynch KC, Oliveira CR, Matheson JS, Mitchell MA, and O'Brien RT. Detection of pneumothorax and pleural effusion with horizontal beam radiography. Vet Radiol Ultrasound. 2012; 53(1): 38-43. DOI: 10.1111/j.1740-8261.2011.01854.x

Dickson R, Scharf VF, Michael AE, Walker M, Thomson C, Grimes J, et al. Surgical management and outcome of dogs with primary spontaneous pneumothorax: 110 cases (2009-2019). J Am Vet Med Assoc. 2021; 258(11): 1229-1235. DOI: 10.2460/javma.258.11.1229

Sériot P, Dunié‐Mérigot A, Tréhiou CB, Blond L, Bernardin F, Poujol L, et al. Treatment and outcome of spontaneous pneumothorax secondary to suspected migrating vegetal foreign body in 37 dogs. Vet Rec. 2021; 189(4): 22-41. DOI: 10.1002/vetr.22

Lamb CR. Veterinary diagnostic imaging: Probability, accuracy and impact. Vet J. 2016; 215: 55-63. DOI: 10.1016/j.tvjl.2016.03.017

Lamb CR, and David FH. Advanced imaging: Use and misuse. J Feline Med Surg. 2012; 14(7): 483-497. DOI: 10.1177/1098612X12451550

Chang JM, Lee HJ, Goo JM, Lee H-Y, Lee JJ, Chung J-K, et al. False positive and false negative FDG-PET scans in various thoracic diseases. Korean J Radiol. 2006; 7(1): 57-69. DOI: 10.3348/kjr.2006.7.1.57

Lauber DT, Fülöp A, Kovács T, Szigeti K, Máthé D, and Szijártó A. State of the art in vivo imaging techniques for laboratory animals. Lab Anim. 2017; 51(5): 465-478. DOI: 10.1177/0023677217695852

Balaban RS, and Hampshire VA. Challenges in small animal noninvasive imaging. ILAR J. 2001; 42(3): 248-262. DOI: 10.1093/ilar.42.3.248

Gabrielson K, Maronpot R, Monette S, Mlynarczyk C, Ramot Y, Nyska A, et al. In vivo imaging with confirmation by histopathology for increased rigor and reproducibility in translational research: A review of examples, options, and resources. ILAR J. 2018; 59(1): 80-98. DOI: 10.1093/ilar/ily010

de Brito Galvao JF, and Chew DJ. Metabolic complications of endocrine surgery in companion animals. Vet Clin North Am Small Anim Pract. 2011; 41(5): 847-868. DOI: 10.1016/j.cvsm.2011.05.012

Jones MA, MacCuaig WM, Frickenstein AN, Camalan S, Gurcan MN, Holter-Chakrabarty J, et al. Molecular imaging of inflammatory disease. Biomedicines. 2021; 9(2): 152. DOI: 10.3390/biomedicines9020152

Peñate Medina T, Kolb JP, Hüttmann G, Huber R, Peñate Medina O, Ha L, et al. Imaging inflammation-from whole body imaging to cellular resolution. Front Immunol. 2021; 12: 692222. DOI: 10.3389/fimmu.2021.692222

Koo V, Hamilton P, and Williamson K. Non‐invasive in vivo imaging in small animal research. Anal Cell Pathol. 2006; 28(4): 127-139. DOI: 10.1155/2006/245619

Bartling SH, Stiller W, Semmler W, and Kiessling F. Small animal computed tomography imaging. Curr Med Imaging. 2007; 3(1): 45-59. DOI: 10.2174/157340507779940327

Li H, Zhang H, Tang Z, and Hu G. Micro-computed tomography for small animal imaging: Technological details. Prog Nat Sci. 2008; 18(5): 513-521. DOI: 10.1016/j.pnsc.2008.01.002

Morrison ID, McLaughlin P, and Maher MM. Current status of imaging of the gastrointestinal tract: Imaging techniques and radiation issues. In: Adam A, Dixon AK, Gillard JH, editors. Grainger & Allison's diagnostic radiology: Abdominal imaging. 6th ed. Elsevier, 2015. p. 1-20.

Gerner-Rasmussen J, Donatsky AM, and Bjerrum F. The role of non-invasive imaging techniques in detecting intra-abdominal adhesions: A systematic review. Langenbecks Arch Surg. 2019; 404(6): 653-661. DOI: 10.1007/s00423-018-1732-8

Abdellatif A, Kramer M, Failing K, and Von Pückler K. Correlation between preoperative ultrasonographic findings and clinical, intraoperative, cytopathological, and histopathological diagnosis of acute abdomen syndrome in 50 dogs and cats. Vet Sci. 2017; 4(3): 39. DOI: 10.3390/vetsci4030039

Sturm MC, Abazid A, and Stope MB. Tissue adhesion after surgical interventions. Exp Ther Med. 2025; 29(5): 1-9. DOI: 10.3892/etm.2025.12847

Davey AK, and Maher PJ. Surgical adhesions: A timely update, a great challenge for the future. J Minim Invasive Gynecol. 2007; 14(1): 15-22. DOI: 10.1016/j.jmig.2006.07.013

Ellison GW. Complications of gastrointestinal surgery in companion animals. Vet Clin North Am Small Anim Pract. 2011; 41(5): 915-934. DOI: 10.1016/j.cvsm.2011.05.006

Holzman G, and Kleist TR, editors. Surgical patient care for veterinary technicians and nurses. 2nd ed. John Wiley & Sons, 2023. DOI: 10.1002/9781119760313

Antar SA, Ashour NA, Marawan ME, and Al-Karmalawy AA. Fibrosis: Types, effects, markers, mechanisms for disease progression, and its relation with oxidative stress, immunity, and inflammation. Int J Mol Sci. 2023; 24(4): 4004. DOI: 10.3390/ijms24044004

Jin Z, Guan Y, Yu G, and Sun Y. Magnetic resonance imaging of postoperative fracture healing process without metal artifact: A preliminary report of a novel animal model. Biomed Res Int. 2016; 2016(1): 1429892. DOI: 10.1155/2016/1429892

Low D, Treharne R, and Rutherford S. Machine‐learning prediction of postoperative complications after high tibial osteotomy for canine cranial cruciate ligament disease. Vet Surg. 2025; 54(7): 1286-1297. DOI: 10.1111/vsu.70007

Xue B, Li D, Lu C, King CR, Wildes T, and Avidan MS. Use of machine learning to develop and evaluate models using preoperative and intraoperative data to identify risks of postoperative complications. JAMA Net Open. 2021; 4(3): e212240. DOI: 10.1001/jamanetworkopen.2021.2240

Bouhali O, Bensmail H, Sheharyar A, David F, and Johnson JP. A review of radiomics and artificial intelligence and their application in veterinary diagnostic imaging. Vet Sci. 2022; 9(11): 620. DOI: 10.3390/vetsci9110620

Tomaszewski MR, and Gillies RJ. The biological meaning of radiomic features. Radiology. 2021; 298(3): 505-516. DOI: 10.1148/radiol.2021202553

Rajgor A, Gill T, Aboagye E, Mill A, Rushton S, Obara B, et al. Radiomics from routine CT and PET/CT imaging in laryngeal squamous cell carcinoma: A systematic review with radiomics quality score assessment. Cancers. 2026; 18(2): 237. DOI: 10.3390/cancers18020237

Bonde A, Varadarajan KM, Bonde N, Troelsen A, Muratoglu OK, Malchau H, et al. Assessing the utility of deep neural networks in predicting postoperative surgical complications: A retrospective study. Lancet Digit Health. 2021; 3(8): 471-485. DOI: 10.1016/S2589-7500(21)00084-4

Hussain SM, Brunetti A, Lucarelli G, Memeo R, Bevilacqua V, and Buongiorno D. Deep learning based image processing for robot assisted surgery: A systematic literature survey. IEEE Access. 2022; 10: 122627-122657. DOI: 10.1109/ACCESS.2022.3223704

Scholz AM, Bünger L, Kongsro J, Baulain U, and Mitchell AD. Non-invasive methods for the determination of body and carcass composition in livestock: Dual-energy X-ray absorptiometry, computed tomography, magnetic resonance imaging and ultrasound: Invited review. Animal. 2015; 9(7): 1250-1264. DOI: 10.1017/S1751731115000336

Song Q, He X, Wang Y, Gao H, Tan L, and Ma J. Clinical validation of AI assisted animal ultrasound models for diagnosis of early liver trauma. Sci Rep. 2025; 15(1): 22513. DOI: 10.1038/s41598-025-91900-5

Leivaditis V, Maniatopoulos AA, Lausberg H, Mulita F, Papatriantafyllou A, Liolis E, et al. Artificial intelligence in thoracic surgery: A review bridging innovation and clinical practice for the next generation of surgical care. J Clin Med. 2025; 14(8): 2729. DOI: 10.3390/jcm14082729