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Modulation of biomarkers in minimal breast carcinoma
Author(s) -
Querzoli Patrizia,
Albonico Giuseppe,
Ferretti Stefano,
Rinaldi Rosa,
Beccati Donatella,
Corcione Stefano,
Indelli Monica,
Nenci Italo
Publication year - 1998
Publication title -
cancer
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.052
H-Index - 304
eISSN - 1097-0142
pISSN - 0008-543X
DOI - 10.1002/(sici)1097-0142(19980701)83:1<89::aid-cncr12>3.0.co;2-8
Subject(s) - medicine , carcinoma , estrogen receptor , breast cancer , immunohistochemistry , carcinoma in situ , progesterone receptor , estrogen , mammary gland , breast carcinoma , pathology , cancer , oncology
BACKGROUND The widespread use of diagnostic breast imaging has yielded an increase in the detection of in situ, microinvasive, and small invasive carcinomas and has provided opportunities to study the earliest stages of breast carcinoma development. The authors of this report analyzed the pathobiologic features of 577 minimal breast carcinomas (MBCs), including in situ carcinomas and invasive carcinomas ≤1 cm, according to the definition given by Hartmann in Cancer (1984;53:681‐4). METHODS Estrogen and progesterone receptors (ER and PR), proliferation index (PI), and p53 and neu expression were studied by immunohistochemical technique and measured by quantitative image analysis in 99 pure in situ carcinomas (ISCp); in 105 mixed invasive/in situ carcinomas, with a separate analysis of in situ (ISCm) and invasive (ICm) components; and in 373 invasive carcinomas ≤1 cm (IC). Follow‐up data were available for 164 invasive carcinomas. RESULTS A progressive increase in the levels of hormone steroid receptors, from the lowest in ISCm to the highest in IC, was observed (ER, P < 0.001; PR, P = 0.005). Levels of PI and p53 expression were higher in ISCm than in the other categories (PI, P = 0.007; p53, P = 0.046). Overexpression of neu was greater in ICm than in IC ( P = 0.013). Younger women (≤40 years) with invasive carcinoma had worse biologic profiles, with lower ER ( P < 0.001) and higher PI ( P = 0.021), neu ( P = 0.008), and p53 ( P = 0.040). It was demonstrated clinically that PI and neu were the biologic markers with the highest predictive prognostic values in univariate analysis (PI for recurrence, P < 0.015; neu for recurrence and overall survival, P < 0.001 and P < 0.007, respectively) and in multivariate analysis ( neu for recurrence and overall survival, P < 0.007 and P < 0.017, respectively). CONCLUSIONS Biologic phenotypes of MBC can be interpreted as reflecting a dimension of neoplastic progression capacity that is independent of tumor size. This study suggests that biologic markers can be integrated with traditional pathologic indicators for accurate staging of patients. Cancer 1998;83:89‐97. © 1998 American Cancer Society.