title: Pathobiologic identification of two distinct breast carcinoma subsets with diverging clinical behaviors.
abstract: Many different pathological and biological variables which characterize breast carcinomas have been found to be associated. The aim of this work was to analyze the complex relationship among these parameters. The pathologic, biologic, and clinical characteristics of a series of primary breast carcinomas from 676 patients were retrospectively investigated. Multiple correspondence analysis of 13 factors revealed clustering of eight pathobiologic variables, that is histologic grade, necrosis, lymphoid infiltration, number of mitoses, c-erbB-2 overexpression, p53, progesterone receptor, and bcl2 expression. An index for each tumor calculated on the basis of these eight factors served to distinguish two different tumor phenotypes, designated A and B. Phenotype A is represented by tumors sharing most of the biologic features of normal breast tissues: indeed, these tumors are characterized by a relatively high degree of differentiation, low proliferation, no necrosis or leukocyte infiltration, and no gene alterations. By contrast, phenotype B is quite divergent from the normal tissue because of its poor differentiation, high proliferation, frequent gene alterations and evidence of a host immune reaction. As regards the disease progression, these two subsets showed marked differences: phenotype A tumors had a low recurrence rate per year that remained constant over time and affected more frequently elderly patients, whereas group B tumors showed high aggressivity in the first years after surgery followed by a low long-term recurrence rate and were more frequently seen in younger patients. These data suggest that breast carcinoma consists of two different subsets that can be identified on the basis of pathobiologic features.
authors.affiliation: Department of Experimental Oncology, Istituto Nazionale per lo Studio e la Cura dei Tumori, Milan, Italy. menard@istitutotumori.mi.it
authors.forename: S
authors.initials: S
authors.lastname: Ménard
authors.forename: P
authors.initials: P
authors.lastname: Casalini
authors.forename: G
authors.initials: G
authors.lastname: Tomasic
authors.forename: S
authors.initials: S
authors.lastname: Pilotti
authors.forename: N
authors.initials: N
authors.lastname: Cascinelli
authors.forename: R
authors.initials: R
authors.lastname: Bufalino
authors.forename: F
authors.initials: F
authors.lastname: Perrone
authors.forename: C
authors.initials: C
authors.lastname: Longhi
authors.forename: F
authors.initials: F
authors.lastname: Rilke
authors.forename: M I
authors.initials: MI
authors.lastname: Colnaghi
mesh_terms: D000328:Adult; D000368:Aged; D014408:Biomarkers, Tumor / Q000032:analysis; D001943:Breast Neoplasms / Q000145:classification* / Q000235:genetics / Q000401:mortality / Q000473:pathology; D002277:Carcinoma / Q000145:classification / Q000235:genetics / Q000401:mortality / Q000473:pathology; D002402:Cathepsin D / Q000032:analysis; D002454:Cell Differentiation; D002455:Cell Division; D017024:Chemotherapy, Adjuvant; D003131:Combined Modality Therapy; D018450:Disease Progression; D005260:Female; D006801:Humans; D007558:Italy / Q000453:epidemiology; D007958:Leukocyte Count; D008207:Lymphatic Metastasis; D008593:Menopause; D008875:Middle Aged; D008940:Mitotic Index; D009336:Necrosis; D009363:Neoplasm Proteins / Q000032:analysis; D010641:Phenotype; D019253:Proto-Oncogene Proteins c-bcl-2 / Q000032:analysis; D018719:Erb-b2 Receptor Tyrosine Kinases / Q000032:analysis; D011980:Receptors, Progesterone / Q000032:analysis; D012189:Retrospective Studies; D012307:Risk Factors; D016159:Tumor Suppressor Protein p53 / Q000032:analysis
chemical_list: D014408:Biomarkers, Tumor; D002402:Cathepsin D; D009363:Neoplasm Proteins; D019253:Proto-Oncogene Proteins c-bcl-2; D018719:Erb-b2 Receptor Tyrosine Kinases; D011980:Receptors, Progesterone; D016159:Tumor Suppressor Protein p53