Literature DB >> 22068957

Tumour-related factors and prognosis in breast cancer detected by screening.

A Olsson1, S Borgquist, S Butt, S Zackrisson, G Landberg, J Manjer.   

Abstract

BACKGROUND: Breast cancer detected by screening has an unexplained prognostic advantage beyond stage shift compared with cancers detected clinically. The aim was to investigate biological factors in invasive breast cancer, with reference to mode of detection and rate of death from breast cancer.
METHODS: Histology, oestrogen receptor α and β, progesterone receptor, human epidermal growth factor receptor (HER) 2, cyclin D1, p27, Ki-67 and perinodal growth were analysed in 466 tumours from a prospective cohort, the Malmö Diet and Cancer Study. Using logistic regression, odds ratios were calculated to investigate the relationship between tumour characteristics and mode of detection. The same tumour factors were analysed in relation to standard prognostic features. Death from breast cancer was analysed using Cox regression with adjustments for standard tumour factors; differences following adjustment were analysed by means of Freedman statistics.
RESULTS: None of the biological tumour characteristics varied with mode of detection of breast cancer. After adjustment for age, tumour size, axillary lymph node involvement (ALNI) and grade, women with cancer detected clinically had an increased risk of death from breast cancer (hazard ratio 2·48, 95 per cent confidence interval 1·34 to 4·59), corresponding to a 37·2 per cent difference compared with the unadjusted model. Additional adjustment for biological tumour factors studied caused only minor changes.
CONCLUSION: None of the biological tumour markers investigated explained the improved prognosis in breast cancer detected by screening. None of the factors was related to ALNI, suggesting that other mechanisms may be responsible for tumour spread.
Copyright © 2011 British Journal of Surgery Society Ltd. Published by John Wiley & Sons, Ltd.

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Year:  2011        PMID: 22068957     DOI: 10.1002/bjs.7757

Source DB:  PubMed          Journal:  Br J Surg        ISSN: 0007-1323            Impact factor:   6.939


  6 in total

Review 1.  The benefits and harms of breast cancer screening: an independent review.

Authors:  M G Marmot; D G Altman; D A Cameron; J A Dewar; S G Thompson; M Wilcox
Journal:  Br J Cancer       Date:  2013-06-06       Impact factor: 7.640

2.  Breast density and mode of detection in relation to breast cancer specific survival: a cohort study.

Authors:  Åsa Olsson; Hanna Sartor; Signe Borgquist; Sophia Zackrisson; Jonas Manjer
Journal:  BMC Cancer       Date:  2014-03-28       Impact factor: 4.430

3.  St Gallen molecular subtypes in screening-detected and symptomatic breast cancer in a prospective cohort with long-term follow-up.

Authors:  A K Falck; A Röme; M Fernö; H Olsson; G Chebil; P O Bendahl; L Rydén
Journal:  Br J Surg       Date:  2016-02-09       Impact factor: 6.939

4.  E-cadherin expression phenotypes associated with molecular subtypes in invasive non-lobular breast cancer: evidence from a retrospective study and meta-analysis.

Authors:  Jiang-Bo Liu; Chen-Yi Feng; Miao Deng; Dong-Feng Ge; De-Chun Liu; Jian-Qiang Mi; Xiao-Shan Feng
Journal:  World J Surg Oncol       Date:  2017-08-01       Impact factor: 2.754

5.  Low Prevalence of HER2-Positive Breast Carcinomas among Screening Detected Breast Cancers.

Authors:  M Ángeles López-García; Irene Carretero-Barrio; Belén Pérez-Míes; Miguel Chiva; Carolina Castilla; Begoña Vieites; José Palacios
Journal:  Cancers (Basel)       Date:  2020-06-15       Impact factor: 6.639

6.  Machine learning-based prediction of breast cancer growth rate in vivo.

Authors:  Shristi Bhattarai; Sergey Klimov; Mohammed A Aleskandarany; Helen Burrell; Anthony Wormall; Andrew R Green; Padmashree Rida; Ian O Ellis; Remus M Osan; Emad A Rakha; Ritu Aneja
Journal:  Br J Cancer       Date:  2019-08-09       Impact factor: 7.640

  6 in total

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