Literature DB >> 2482095

Correlation of growth fraction by Ki-67 immunohistochemistry with histologic factors and hormone receptors in operable breast carcinoma.

G Gasparini1, S Dal Fior, F Pozza, P Bevilacqua.   

Abstract

Breast cancer tissue samples obtained from 147 Stage I and II patients were tested with the monoclonal antibody Ki-67 and avidin-biotin-peroxidase complex in frozen sections. The percentage of cells with nuclear staining ranged from 5% to 65%. The frequency of Ki-67 positivity was classified in five groups: 0% (45/147 = 31%); 5-9% (38/147 = 26%); 10-19% (15/147 = 10%); 20-39% (24/147 = 16%) and greater than or equal to 40% (25/147 = 17%). The mean value was 20%, median 18% with standard deviation of 14.5%. A significant positive correlation was observed between the presence of high Ki-67 nuclear staining rate with pathological tumor size (p = 0.003), histologic grading (p = 0.04), and axillary lymph node metastases (p = 0.009). An inverse significant correlation was found between Ki-67 and estrogen receptor expression (p less than 0.001). No correlation was observed with progesterone receptor expression or menopausal status. The overall picture is of an inverse relationship between high growth fraction determined with Ki-67 antibody and tumor differentiation parameters. These correlations confirm those already reported by thymidine labeling index and flow cytometry methods. The proliferative rate determined with Ki-67 antibody may provide information regarding cell kinetics of breast carcinoma, potentially useful in identifying patients with a different clinical course in order to improve the therapeutic approach, by a rapid, practical and easily performed immunohistochemical method.

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Year:  1989        PMID: 2482095     DOI: 10.1007/bf01806305

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  40 in total

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Journal:  Eur J Cancer       Date:  1973-05       Impact factor: 9.162

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Journal:  Cancer       Date:  1983-10-15       Impact factor: 6.860

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Journal:  Cancer       Date:  1981-08-15       Impact factor: 6.860

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Authors:  R Silvestrini; M G Daidone; G Gasparini
Journal:  Cancer       Date:  1985-10-15       Impact factor: 6.860

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  6 in total

Review 1.  How malignant is malignant? A brief review of the microscopic assessment of human neoplasms, and the prediction of whether they will metastasize and kill.

Authors:  I Carr; N Pettigrew
Journal:  Clin Exp Metastasis       Date:  1991 Mar-Apr       Impact factor: 5.150

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Authors:  Julia Tchou; Seema S Sonnad; Meredith R Bergey; Sandip Basu; John Tomaszewski; Abass Alavi; Mitchell Schnall
Journal:  Mol Imaging Biol       Date:  2009-12-12       Impact factor: 3.488

3.  Correlation between conductivity and prognostic factors in invasive breast cancer using magnetic resonance electric properties tomography (MREPT).

Authors:  Soo-Yeon Kim; Jaewook Shin; Dong-Hyun Kim; Min Jung Kim; Eun-Kyung Kim; Hee Jung Moon; Jung Hyun Yoon
Journal:  Eur Radiol       Date:  2015-10-23       Impact factor: 5.315

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Authors:  A Bonetti; M Zaninelli; S Rodella; A Molino; L Sperotto; Q Piubello; F Bonetti; R Nortilli; M Turazza; G L Cetto
Journal:  Breast Cancer Res Treat       Date:  1996       Impact factor: 4.872

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Journal:  Br J Cancer       Date:  1993-04       Impact factor: 7.640

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Authors:  G Gasparini; P Bevilacqua; F Pozza; S Meli; P Boracchi; E Marubini; J R Sainsbury
Journal:  Br J Cancer       Date:  1992-11       Impact factor: 7.640

  6 in total

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