title: Well-differentiated thyroid carcinomas: p53 mutation status and microvessel density.
abstract: BACKGROUND
  Risk-stratification schemes exist for well-differentiated thyroid carcinoma and include prognostic factors such as age, sex, extent of tumor, size of tumor, and presence of metastasis. Controversy continues, however, over the aggressiveness of initial surgical intervention because of anecdotal experiences of poor clinical outcomes in low-risk patients. Our objective is to determine the prognostic significance of two biologic tumor markers, the p53 gene mutation and CD34 microvessel density (MVD) count, in well-differentiated tumors of thyroid gland.
  
  
  METHODS
  We selected 38 patients with well-differentiated thyroid carcinomas from the University of Illinois Tumor Registry. Patients had an average clinical follow-up of 10 years. Paraffin-embedded tumor specimens were available for all patients. Immunohistochemistry was performed to identify mutations of the p53 gene (Ab 1801) and to determine the MVD count (CD34).
  
  
  RESULTS
  There were significant increases in MVD counts within thyroid tumor tissue, when compared with surrounding, normal thyroid tissue. There was no significant correlation noted, however, between increased MVD and histology or recurrence rates. There was a trend toward higher MVD counts in tumor specimens of patients initially seen with metastatic lymphadenopathy. The incidence of p53 mutation expression was 28%, and there was no correlation between p53 status and histology, sex, recurrence rate, or survival.
  
  
  CONCLUSIONS
  This study supports the concept of tumor neovascularization but fails to correlate MVD with clinical behavior or pathologic features in well-differentiated thyroid carcinoma. Furthermore, we found that the p53 mutation status was not an independent prognosticator of tumor behavior in these lesions.
authors.affiliation: Department of Otolaryngology-Head and Neck Surgery, Eye and Ear Infirmary, University of Illinois at Chicago, 60612, USA.
authors.forename: J D
authors.initials: JD
authors.lastname: Goldenberg
authors.forename: L G
authors.initials: LG
authors.lastname: Portugal
authors.forename: B L
authors.initials: BL
authors.lastname: Wenig
authors.forename: K
authors.initials: K
authors.lastname: Ferrer
authors.forename: J C
authors.initials: JC
authors.lastname: Wu
authors.forename: J
authors.initials: J
authors.lastname: Sabnani
mesh_terms: D018263:Adenocarcinoma, Follicular / Q000098:blood supply / Q000235:genetics; D000328:Adult; D000367:Age Factors; D018952:Antigens, CD34; D014408:Biomarkers, Tumor / Q000235:genetics; D002196:Capillaries / Q000473:pathology; D002277:Carcinoma / Q000098:blood supply / Q000235:genetics* / Q000473:pathology / Q000556:secondary / Q000601:surgery; D002291:Carcinoma, Papillary / Q000098:blood supply / Q000235:genetics; D018265:Carcinoma, Papillary, Follicular / Q000098:blood supply / Q000235:genetics; D005260:Female; D005500:Follow-Up Studies; D015972:Gene Expression Regulation, Neoplastic; D016158:Genes, p53 / Q000235:genetics*; D006801:Humans; D007150:Immunohistochemistry; D015994:Incidence; D008207:Lymphatic Metastasis / Q000473:pathology; D008297:Male; D008875:Middle Aged; D009154:Mutation / Q000235:genetics*; D009364:Neoplasm Recurrence, Local / Q000473:pathology; D009367:Neoplasm Staging; D009389:Neovascularization, Pathologic / Q000473:pathology; D011379:Prognosis; D012042:Registries; D018570:Risk Assessment; D012737:Sex Factors; D015996:Survival Rate; D013964:Thyroid Neoplasms / Q000098:blood supply / Q000235:genetics* / Q000473:pathology / Q000601:surgery; D016896:Treatment Outcome
chemical_list: D018952:Antigens, CD34; D014408:Biomarkers, Tumor