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Testing the hamster cheek pouch as a potential patient-derived xenograft model system for head and neck squamous cell carcinoma
Kanemoto, Sierra
Kanemoto, Sierra
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2022-05
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Abstract
Human head and neck squamous cell carcinoma (HNSCC) is highly prevalent with
approximately 890,000 new diagnosed cases and 450,000 deaths annually. Lack of early
detection and high tumor metastasis, recurrence, and drug resistance account for such
overwhelming numbers. Unfortunately, routinely used two-dimensional cancer cell cultures are
not biologically relevant model systems to accurately study patient tumors. In this work, we
sought to test and develop the hamster cheek pouch as a potential HNSCC patient-derived
xenograft (PDX) model system. Donor tumor tissue from HNSCC patients were transplanted
into hamster cheek pouches. Tumor volumes were measured over 4-6 weeks by performing
weekly post-transplantation assessments of the xenotransplantation sites. Cheek pouches with
viable transplanted masses were excised from hosts after 4-6 weeks for tissue harvesting and
processing. We assessed both donor tissues and viable xenotransplants using standard
histological and immunohistochemical analyses of formalin-fixed and paraffin-embedded tissue
preparations. Although transplanted tumors generally regressed over time, these tumors did
persist long-term without immunological rejection. The hamster cheek pouch model also showed
maintenance of histopathological characteristics between donor tumor tissue and viable
xenografts. However, protein expression and localization lacked routine replication. While
statistical analyses supported our observation that the hamster cheek pouch does initially accept
the implantation of HNSCC patient tumor tissues, it also revealed that differential aspects among
patient tumor tissue did not significantly effect tumor viability. However, an inherent variability
among individual cheek pouch sites were observed. Further studies are needed to refine the
hamster cheek pouch as a potential HNSCC PDX model system so as to discover and validate
diagnostic biomarkers, prognostic predictors, and therapeutic treatments.
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Thesis (M.S.)-- Wichita State University, College of Liberal Arts and Sciences, Dept. of Biological Sciences
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Wichita State University
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© Copyright 2022 by Sierra Kanemoto
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