Literature DB >> 34191200

Combining method of detection and 70-gene signature for enhanced prognostication of breast cancer.

J M N Lopes Cardozo1,2, M K Schmidt3, L J van 't Veer4, F Cardoso5, C Poncet2, E J T Rutgers1, C A Drukker6.   

Abstract

PURPOSE: Studies have shown that screen detection by national screening programs is independently associated with better prognosis of breast cancer. The aim of this study is to evaluate the association between tumor biology according to the 70-gene signature (70-GS) and survival of patients with screen-detected and interval breast cancers.
METHODS: All Dutch breast cancer patients enrolled in the MINDACT trial (EORTC-10041/BIG3-04) accrued 2007-2011, who participated in the national screening program (biennial screening, ages 50-75) were included (n = 1102). Distant Metastasis-Free Interval (DMFI) was evaluated according to the 70-GS for patients with screen-detected (n = 754) and interval cancers (n = 348).
RESULTS: Patients with screen-detected cancers had 8-year DMFI rates of 98.2% for 70-GS ultralow-, 94.6% for low-, and 93.8% for high-risk tumors (p = 0.4). For interval cancers, there was a significantly lower 8-year DMFI rate for patients with 70-GS high-risk tumors (85.2%) compared to low- (92.2%) and ultralow-risk tumors (97.4%, p = 0.0023). Among patients with 70-GS high-risk tumors, a significant difference in 8-year DMFI rate was observed between interval (85.2%, n = 166) versus screen-detected cancers (93.8%, n = 238; p = 0.002) with a HR of 2.3 (95%CI 1.2-4.4, p = 0.010) adjusted for clinical-pathological characteristics and adjuvant systemic treatment.
CONCLUSION: Among patients with 70-GS high-risk tumors, a significant difference in DMFI was observed between screen-detected and interval cancers, suggesting that method of detection is an additional prognostic factor in this subgroup and should be taken into account when deciding on adjuvant treatment strategies.

Entities:  

Keywords:  70-gene signature; Breast cancer; Interval cancer; Mammographic screening; Screen-detected cancer; Screening program

Year:  2021        PMID: 34191200     DOI: 10.1007/s10549-021-06315-3

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


  27 in total

1.  Comparison of clinical-pathologic characteristics and outcomes of true interval and screen-detected invasive breast cancer among participants of a Canadian breast screening program: a nested case-control study.

Authors:  Daniel Rayson; Jennifer Isabelle Payne; Mohamed Abdolell; Penny J Barnes; Rebecca F MacIntosh; Theresa Foley; Tallal Younis; Ariel Burns; Judy Caines
Journal:  Clin Breast Cancer       Date:  2011-03       Impact factor: 3.225

2.  Breast-Cancer Tumor Size, Overdiagnosis, and Mammography Screening Effectiveness.

Authors:  H Gilbert Welch; Philip C Prorok; A James O'Malley; Barnett S Kramer
Journal:  N Engl J Med       Date:  2016-10-13       Impact factor: 91.245

3.  Utility of prognostic genomic tests in breast cancer practice: The IMPAKT 2012 Working Group Consensus Statement.

Authors:  H A Azim; S Michiels; F Zagouri; S Delaloge; M Filipits; M Namer; P Neven; W F Symmans; A Thompson; F André; S Loi; C Swanton
Journal:  Ann Oncol       Date:  2013-01-20       Impact factor: 32.976

4.  Breast tumor characteristics as predictors of mammographic detection: comparison of interval- and screen-detected cancers.

Authors:  P L Porter; A Y El-Bastawissi; M T Mandelson; M G Lin; N Khalid; E A Watney; L Cousens; D White; S Taplin; E White
Journal:  J Natl Cancer Inst       Date:  1999-12-01       Impact factor: 13.506

5.  Independent prognostic value of screen detection in invasive breast cancer.

Authors:  Stella Mook; Laura J Van 't Veer; Emiel J Rutgers; Peter M Ravdin; Anthonie O van de Velde; Flora E van Leeuwen; Otto Visser; Marjanka K Schmidt
Journal:  J Natl Cancer Inst       Date:  2011-02-24       Impact factor: 13.506

6.  Prognosis and pathology of screen-detected carcinomas: how different are they?

Authors:  Iris D Nagtegaal; Prue C Allgood; Stephen W Duffy; Olive Kearins; E O Sullivan; Nancy Tappenden; Matthew Wallis; Gill Lawrence
Journal:  Cancer       Date:  2010-11-02       Impact factor: 6.860

7.  Addressing overdiagnosis and overtreatment in cancer: a prescription for change.

Authors:  Laura J Esserman; Ian M Thompson; Brian Reid; Peter Nelson; David F Ransohoff; H Gilbert Welch; Shelley Hwang; Donald A Berry; Kenneth W Kinzler; William C Black; Mina Bissell; Howard Parnes; Sudhir Srivastava
Journal:  Lancet Oncol       Date:  2014-05       Impact factor: 41.316

8.  A gene-expression signature as a predictor of survival in breast cancer.

Authors:  Marc J van de Vijver; Yudong D He; Laura J van't Veer; Hongyue Dai; Augustinus A M Hart; Dorien W Voskuil; George J Schreiber; Johannes L Peterse; Chris Roberts; Matthew J Marton; Mark Parrish; Douwe Atsma; Anke Witteveen; Annuska Glas; Leonie Delahaye; Tony van der Velde; Harry Bartelink; Sjoerd Rodenhuis; Emiel T Rutgers; Stephen H Friend; René Bernards
Journal:  N Engl J Med       Date:  2002-12-19       Impact factor: 91.245

9.  Effectiveness of and overdiagnosis from mammography screening in the Netherlands: population based study.

Authors:  Philippe Autier; Magali Boniol; Alice Koechlin; Cécile Pizot; Mathieu Boniol
Journal:  BMJ       Date:  2017-12-05

10.  Mammographic screening detects low-risk tumor biology breast cancers.

Authors:  C A Drukker; M K Schmidt; E J T Rutgers; F Cardoso; K Kerlikowske; L J Esserman; F E van Leeuwen; R M Pijnappel; L Slaets; J Bogaerts; L J Van't Veer
Journal:  Breast Cancer Res Treat       Date:  2014-01-28       Impact factor: 4.872

View more
  1 in total

Review 1.  Autophagy and cancer treatment: four functional forms of autophagy and their therapeutic applications.

Authors:  Zhaoshi Bai; Yaling Peng; Xinyue Ye; Zhixian Liu; Yupeng Li; Lingman Ma
Journal:  J Zhejiang Univ Sci B       Date:  2022-02-15       Impact factor: 3.066

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.