title: Mutant p53 expression and DNA analysis in human breast cancer comparison with conventional clinicopathological parameters.
abstract: Scientific research evaluates the prognostic importance of 53 expression and DNA flow cytometry controversially. To evaluate the prognostic relevance of mutant p53 protein overexpression and DNA flow cytometry in primary breast cancer we correlated these factors with the common prognostic parameters such as tumor size, lymph node status, grading, menopausal status and receptor status. Human breast cancer specimens from 180 previously untreated patients were collected and deep frozen. On each specimen DNA-analysis by Geohde's technique (Partec PAS II) and immunohistochemical evaluation of mutant p53 protein (PAb 1801 and 240, Novocastra Lab., Great Britain) were performed. Besides TNM- and histological classification, estrogen (ER)- and progesterone (PgR) receptor content was recorded. Overexpression of mutant p53 protein was found in 34 (19%) of all specimens. All these 34 tumors were aneuploid (p = 0.007), 86% of them were receptor negative (p 0.0001), 79% had a high tumor grade (p 0.0001), 73% a high S-phase-fraction (SPF) (p = 0.045) and 53% were premenopausal (p 0.0001). Tumor size and node status did not correlate significantly with p53 expression. 27 (15%) out of 180 carcinomas were diploid. There was a significant correlation between ploidy and the tumor grade (p = 0.003) and SPF (p 0.0001), but not correlation between ploidy and tumor size (p = 0.21), node status (p = 0.33) or receptor status (p = 0.18). A low SPF was predominantly found in tumors less than 2 cm in diameter (p 0.0001); no significant correlation was found between SPF, receptor status, tumor grade, node and menopausal status. Mutant p53 protein expression and DNA analysis in combination with common prognostic parameters might help to detect prognostically unfavourable subgroups of breast cancer patients.
authors.affiliation: Department of Surgery, Karl-Franzens-University, Graz, Austria.
authors.forename: G P
authors.initials: GP
authors.lastname: Rosanelli
authors.forename: P
authors.initials: P
authors.lastname: Steindorfer
authors.forename: G H
authors.initials: GH
authors.lastname: Wirnsberger
authors.forename: M
authors.initials: M
authors.lastname: Klimpfinger
authors.forename: M
authors.initials: M
authors.lastname: Ratschek
authors.forename: P
authors.initials: P
authors.lastname: Puerstner
authors.forename: H
authors.initials: H
authors.lastname: Auner
authors.forename: A
authors.initials: A
authors.lastname: Berhold
mesh_terms: D000328:Adult; D000368:Aged; D000782:Aneuploidy; D014408:Biomarkers, Tumor / Q000032:analysis*; D001943:Breast Neoplasms / Q000737:chemistry / Q000235:genetics / Q000401:mortality / Q000473:pathology* / Q000601:surgery; D004273:DNA, Neoplasm / Q000032:analysis*; D005260:Female; D005434:Flow Cytometry; D015870:Gene Expression; D006801:Humans; D008207:Lymphatic Metastasis; D008593:Menopause; D008875:Middle Aged; D009154:Mutation; D009363:Neoplasm Proteins / Q000032:analysis* / Q000235:genetics; D009367:Neoplasm Staging; D011379:Prognosis; D011960:Receptors, Estrogen / Q000032:analysis; D011980:Receptors, Progesterone / Q000032:analysis; D016196:S Phase; D016159:Tumor Suppressor Protein p53 / Q000032:analysis* / Q000235:genetics
chemical_list: D014408:Biomarkers, Tumor; D004273:DNA, Neoplasm; D009363:Neoplasm Proteins; D011960:Receptors, Estrogen; D011980:Receptors, Progesterone; D016159:Tumor Suppressor Protein p53