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Journal of the Society for Gynecologic Investigation, 1999-07, Vol.6 (4), p.208-212
1999

Details

Autor(en) / Beteiligte
Titel
Maintaining Squamous Epithelial Architecture in a Human Cervical Epithelium to SCID Mouse Xenograft Model System
Ist Teil von
  • Journal of the Society for Gynecologic Investigation, 1999-07, Vol.6 (4), p.208-212
Ort / Verlag
Thousand Oaks, CA: Sage Publications
Erscheinungsjahr
1999
Link zum Volltext
Quelle
Alma/SFX Local Collection
Beschreibungen/Notizen
  • Objective: To establish a mouse model system of human cervical epithelium that maintains the stratified squamous architecture overlying a well-defined basement membrane. Methods: Normal cervical tissue specimens were obtained from the transformation zone of hysterectomy specimens. Small (2 mm) cubes of tissue containing stroma and epithelium were placed subdermally into severe combined immunodeficient (SCID) mice and harvested between 7 and 45 days. Specimens were examined histologically for the presence of stroma, epithelium, and basement membrane. Results: In 49 xenograft attempts in 24 mice, 35 (71%) were identified microscopically. Of these, 28 (80%) had identifiable epithelium and 20 (57%) formed cysts lined with stratified squamous epithelium. A cuboidal basal layer clearly defined the basement membrane. Proliferation within the cyst epithelium was demonstrated by expression of the Ki67 proliferation marker and the presence of mitotic figures. Conclusions: A human to mouse xenograft model system is described that maintains, in high yield, stratified squamous epithelium overlying a well-defined basement membrane. Advantages of this model system include the following: (1) The tissue originates from readily available human specimens; (2) A stratified squamous epithelial architecture is maintained for a sufficient time to study viral effects on proliferation; (3) The basement membrane of the epithelium is well defined, allowing for investigation of connective tissue factors in cervical intraepithelial neoplasia and cervical cancer.
Sprache
Englisch
Identifikatoren
ISSN: 1071-5576
eISSN: 1556-7117
DOI: 10.1177/107155769900600408
Titel-ID: cdi_crossref_primary_10_1177_107155769900600408
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