Literature DB >> 1651805

Pathologic correlates of survival in 378 lymph node-negative infiltrating ductal breast carcinomas. Mitotic count is the best single predictor.

F Clayton1.   

Abstract

Pathologic features of 378 breast carcinomas without axillary lymph node metastases were correlated with long-term prognosis. Mitotic count, the feature best predicting prognosis, was most useful at lower mitotic count levels than usually studied. Cases with less than 4.5 mitotic figures per ten high-power fields had a 20-year tumor-related survival of 73% versus 48% for those with higher mitotic counts. Low and high mitotic count groups had significantly different prognoses for T1c, T2, and T3 tumors. Multivariate analysis showed that the best combination of features predicting tumor-related death were high mitotic count (relative risk, x 2.8), large tumor size (relative risk, x 1.7), lymphatic invasion (relative risk, x 1.7), and skin or subjacent muscle or chest wall invasion (relative risk, x 2.5). Nuclear grade, Bloom-Richardson grade, modified Scarff-Bloom-Richardson grade, Fisher's grade, and necrosis correlated well with survival but had no significant additional predictive value when adjusted for the mitotic count.

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Year:  1991        PMID: 1651805     DOI: 10.1002/1097-0142(19910915)68:6<1309::aid-cncr2820680621>3.0.co;2-i

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  28 in total

Review 1.  Proliferation markers in tumours: interpretation and clinical value.

Authors:  P J van Diest; G Brugal; J P Baak
Journal:  J Clin Pathol       Date:  1998-10       Impact factor: 3.411

2.  Determination of cell proliferation.

Authors:  D M Barnes; C E Gillett
Journal:  Clin Mol Pathol       Date:  1995-02

Review 3.  Prognostic factors in node-negative breast cancer: a review of studies with sample size more than 200 and follow-up more than 5 years.

Authors:  Attiqa N Mirza; Nadeem Q Mirza; Georges Vlastos; S Eva Singletary
Journal:  Ann Surg       Date:  2002-01       Impact factor: 12.969

4.  Cyclin D1 expression in invasive breast cancer. Correlations and prognostic value.

Authors:  P J van Diest; R J Michalides; L Jannink; P van der Valk; H L Peterse; J S de Jong; C J Meijer; J P Baak
Journal:  Am J Pathol       Date:  1997-02       Impact factor: 4.307

5.  Quantitative histopathology in lymph node-negative breast cancer. Prognostic significance of mitotic counts.

Authors:  M Ladekarl; V Jensen
Journal:  Virchows Arch       Date:  1995       Impact factor: 4.064

6.  Counting of apoptotic cells: a methodological study in invasive breast cancer.

Authors:  H A van de Schepop; J S de Jong; P J van Diest; J P Baak
Journal:  Clin Mol Pathol       Date:  1996-08

7.  A rapid and simple staining method, using toluidine blue, for analysing mitotic figures in tissue sections.

Authors:  P Chieco; M Pagnoni; E Romagnoli; C Melchiorri
Journal:  Histochem J       Date:  1993-08

8.  Prognostic significance of a formalin-resistant nuclear proliferation antigen in mammary carcinomas as determined by the monoclonal antibody Ki-S1.

Authors:  H Kreipe; P Alm; H Olsson; M Hauberg; L Fischer; R Parwaresch
Journal:  Am J Pathol       Date:  1993-02       Impact factor: 4.307

Review 9.  Prognostic value of proliferation in invasive breast cancer: a review.

Authors:  P J van Diest; E van der Wall; J P A Baak
Journal:  J Clin Pathol       Date:  2004-07       Impact factor: 3.411

10.  Assessment of Mitotic Activity in Pituitary Adenomas and Carcinomas.

Authors:  Kamal Thapar; Yukio Yamada; Bernd Scheithauer; Kalman Kovacs; Shozo Yamada; Lucia Stefaneanu
Journal:  Endocr Pathol       Date:  1996       Impact factor: 3.943

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