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Ovine pulmonary adenocarcinoma as an animal model for human lung adenocarcinoma

dc.contributor.authorHudachek, Susan, author
dc.contributor.authorDernell, William S., advisor
dc.date.accessioned2024-03-13T19:53:51Z
dc.date.available2024-03-13T19:53:51Z
dc.date.issued2008
dc.description.abstractAppropriate animal models of disease allow defined and controlled investigations that can ultimately be applied to the management of human disease. Based on symptomatic, histopathologic, and possible molecular signaling similarities, we hypothesized that sheep experimentally affected by OPA are a relevant animal model for the study of human lung adenocarcinoma and, in particular, for the evaluation of lung cancer therapeutics. The value of this model is dependent upon its predictability, reproducibility, amenability, and validity. The former two features have been previously reported; OPA induction in sheep is both predictable and reproducible following JSRV inoculation of neonatal lambs. The overall objective of this body of work was to assess the amenability of this animal model for therapeutic research and to assess the validity of OPA-affected sheep as an animal model for human lung adenocarcinoma in terms of genetic similarities. We determined that this animal model is amenable for therapeutic studies because, using CT, OPA can be detected early, before the onset of clinical signs, and cancer development can be monitored noninvasively. However, not only did we observe OPA disease progression during this study, but surprisingly, we also witnessed spontaneous regression of OPA. In fact, the latter was the more common outcome seen in our research after JSRV inoculation of neonatal lambs. We propose that the immune system, particularly CD3+ T-cells, is an important mediator of the spontaneous regression of JSRV-induced OPA seen in our work. Regardless of the cause, the mere occurrence of spontaneous regression of cancer in OPA-affected sheep severely restricts the use of this animal model for therapeutic research. In addition to assessing the amenability of OPA-affected sheep for therapeutic research, we also found that OPA tumors do not harbor genetic mutations in the TK domain of the EGFR, KRAS codons 12 and 13, or the DNA-binding domain of P53 and therefore, are not genetically similar to human lung adenocarcinomas that contain these mutations. Based on these genetic disparities, OPA-affected sheep are not an ideal animal model for human lung adenocarcinoma. Overall, the genetic profile combined with the disease development data provided further characterization of OPA and facilitated an assessment of the utility and relevance of this animal model for human lung cancer studies.
dc.format.mediumborn digital
dc.format.mediumdoctoral dissertations
dc.identifierETDF_Hudachek_2008_3321283.pdf
dc.identifier.urihttps://hdl.handle.net/10217/237787
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartof2000-2019
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.rights.licensePer the terms of a contractual agreement, all use of this item is limited to the non-commercial use of Colorado State University and its authorized users.
dc.subjectadenocarcinoma
dc.subjectJSRV
dc.subjectjaagsiekte sheep retrovirus
dc.subjectOPA
dc.subjectpulmonary adenocarcinoma
dc.subjectmedicine
dc.subjectoncology
dc.titleOvine pulmonary adenocarcinoma as an animal model for human lung adenocarcinoma
dc.typeText
dcterms.rights.dplaThis Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
thesis.degree.disciplineCell and Molecular Biology
thesis.degree.grantorColorado State University
thesis.degree.levelDoctoral
thesis.degree.nameDoctor of Philosophy (Ph.D.)

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