Literature DB >> 10537329

Differences in Ki67 and c-erbB2 expression between screen-detected and true interval breast cancers.

M Crosier1, D Scott, R G Wilson, C D Griffiths, F E May, B R Westley.   

Abstract

Breast cancer screening facilitates the early detection of breast cancer, although a significant number of tumors still arise in the interval between screening. The objective of this study was to measure the expression of five markers of proven prognostic significance in symptomatic breast cancer (estrogen receptor, progesterone receptor, p53, Ki67, and c-erbB2) in screen-detected and interval breast cancers to identify biological markers that may be associated with the emergence of symptomatic breast cancer in the screening interval. The expression of estrogen receptor, progesterone receptor, p53, Ki67, and c-erbB2 was assessed in a series of 51 true interval and 84 screened-detected invasive tumors by immunohistochemistry. Interval cancers tended to be of higher histological grade and were of larger pathological size than screen-detected cancers. Expression of estrogen receptor was 1.7-fold lower (P<0.001), whereas expression of p53 was 2.5-fold (P<0.01), Ki67 2.4-fold (P<0.001), and c-erbB2 3.6-fold higher (P<0.01) in true interval cancers compared with screen-detected invasive cancers. There was no significant difference in progesterone receptor expression. The most important differences identified by multiple logistic regression analysis were in the expression of Ki67 and c-erbB2. The differences in the expression of these markers were more important than clinical features such as pathological grade and size. Using the logistic regression model, 83% of the tumors analyzed in this study could be correctly assigned as interval or screen-detected tumors on the basis of Ki67 and c-erbB2 expression. The importance of high expression of Ki67 in interval cancers compared with screen-detected cancers suggests that tumors may become symptomatic in the screening interval as a result of increased levels of cell proliferation. The inclusion of c-erbB2 in the regression equation suggests that this growth factor receptor may play a significant role in stimulating the rapid growth of interval cancers.

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Year:  1999        PMID: 10537329

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  12 in total

1.  High expression of the trefoil protein TFF1 in interval breast cancers.

Authors:  M Crosier; D Scott; R G Wilson; C D Griffiths; F E May; B R Westley
Journal:  Am J Pathol       Date:  2001-07       Impact factor: 4.307

2.  Copy number imbalances between screen- and symptom-detected breast cancers and impact on disease-free survival.

Authors:  A M Brewster; P Thompson; A A Sahin; K Do; M Edgerton; J L Murray; S Tsavachidis; R Zhou; Y Liu; L Zhang; G Mills; M Bondy
Journal:  Cancer Prev Res (Phila)       Date:  2011-07-27

3.  Differential expression of prognostic biomarkers between interval and screen-detected breast cancers: does age or family history matter?

Authors:  Jan T Lowery; Tim Byers; John Kittelson; John E Hokanson; Judy Mouchawar; John Lewin; Dan Merrick; Lisa Hines; Meenakshi Singh
Journal:  Breast Cancer Res Treat       Date:  2011-03-24       Impact factor: 4.872

Review 4.  Screening for breast cancer.

Authors:  Joann G Elmore; Katrina Armstrong; Constance D Lehman; Suzanne W Fletcher
Journal:  JAMA       Date:  2005-03-09       Impact factor: 56.272

5.  Tumor characteristics in screen-detected and symptomatic breast cancers.

Authors:  István Pálka; Gyöngyi Kelemen; Katalin Ormándi; György Lázár; Tibor Nyári; László Thurzó; Zsuzsanna Kahán
Journal:  Pathol Oncol Res       Date:  2008-03-06       Impact factor: 3.201

6.  Long-term prognosis of breast cancer detected by mammography screening or other methods.

Authors:  Tiina Lehtimäki; Mikael Lundin; Nina Linder; Harri Sihto; Kaija Holli; Taina Turpeenniemi-Hujanen; Vesa Kataja; Jorma Isola; Heikki Joensuu; Johan Lundin
Journal:  Breast Cancer Res       Date:  2011-12-28       Impact factor: 6.466

7.  Role of mammography screening as a predictor of survival in postmenopausal breast cancer patients.

Authors:  J Anttinen; H Kautiainen; T Kuopio
Journal:  Br J Cancer       Date:  2006-01-16       Impact factor: 7.640

8.  Tumor phenotype and breast density in distinct categories of interval cancer: results of population-based mammography screening in Spain.

Authors:  Laia Domingo; Dolores Salas; Raquel Zubizarreta; Marisa Baré; Garbiñe Sarriugarte; Teresa Barata; Josefa Ibáñez; Jordi Blanch; Montserrat Puig-Vives; Ana Fernández; Xavier Castells; Maria Sala
Journal:  Breast Cancer Res       Date:  2014-01-10       Impact factor: 6.466

9.  Molecular characteristics of screen-detected vs symptomatic breast cancers and their impact on survival.

Authors:  S J Dawson; S W Duffy; F M Blows; K E Driver; E Provenzano; J LeQuesne; D C Greenberg; P Pharoah; C Caldas; G C Wishart
Journal:  Br J Cancer       Date:  2009-09-22       Impact factor: 7.640

10.  Detection methods predict differences in biology and survival in breast cancer patients.

Authors:  Maximino Redondo; Rafael Funez; Francisco Medina-Cano; Isabel Rodrigo; Mercedes Acebal; Teresa Tellez; M Jose Roldan; M Luisa Hortas; Ana Bellinvia; Teresa Pereda; Laia Domingo; María Morales-Suarez Varela; Maria Sala; Antonio Rueda
Journal:  BMC Cancer       Date:  2012-12-17       Impact factor: 4.430

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