Literature DB >> 18593987

Molecular subtypes of breast cancers detected in mammography screening and outside of screening.

Harri Sihto1, Johan Lundin, Tiina Lehtimäki, Maarit Sarlomo-Rikala, Ralf Bützow, Kaija Holli, Liisa Sailas, Vesa Kataja, Mikael Lundin, Taina Turpeenniemi-Hujanen, Jorma Isola, Päivi Heikkilä, Heikki Joensuu.   

Abstract

PURPOSE: The frequency and significance of gene expression profile-derived molecular subtypes of breast cancers found in mammography screening are unknown. EXPERIMENTAL
DESIGN: We identified breast cancers diagnosed in women of any age living in defined geographic regions in Finland in 1991 to 1992 and collected clinical and pathologic data. Surrogates for the molecular subtypes were determined for 247 cancers found in organized mammography screening and 989 cancers detected outside of screening using immunohistochemistry or in situ hybridization. Molecular subtypes were defined as luminal A [estrogen receptor (ER) positive and/or progesterone receptor (PR) positive, HER2-], luminal B (ER+ and/or PR+, HER2+), basal-like (ER-, PR-, HER2-, cytokeratin 5+, and/or HER1+), HER2+/ER- (ER-, PR-, and HER2+), and unclassified. The median follow-up time was 9.4 years.
RESULTS: The luminal type A was common (73.7%) and the HER2+/ER- type is rare (5.7%) in screen-detected cancer, and only 16% were HER2 positive. Women with cancer diagnosed in screening at ages 50 to 69 years had similar molecular subtype distribution as women whose cancer was found outside of screening at age >69 years. In a multivariate model, cancer detection at screening independently predicted favorable distant disease-free survival when the molecular subtype was included as a covariate in addition to age, histologic grade, and cancer size. Women with small (pT(1)N(0)M(0)) HER2-positive cancer had similar outcome regardless of the method of detection.
CONCLUSIONS: Molecular subtype distribution of screen-detected breast cancer differs from that of cancers found outside of screening and accounts in part for the better outcome of screen-detected cancer.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18593987     DOI: 10.1158/1078-0432.CCR-07-5003

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


  42 in total

1.  MCM2: An alternative to Ki-67 for measuring breast cancer cell proliferation.

Authors:  Einas M Yousef; Daniela Furrer; David L Laperriere; Muhammad R Tahir; Sylvie Mader; Caroline Diorio; Louis A Gaboury
Journal:  Mod Pathol       Date:  2017-01-13       Impact factor: 7.842

2.  Differences in subtype distribution between screen-detected and symptomatic invasive breast cancer and their impact on survival.

Authors:  N Kobayashi; M Hikichi; K Ushimado; A Sugioka; Y Kiriyama; M Kuroda; T Utsumi
Journal:  Clin Transl Oncol       Date:  2017-04-13       Impact factor: 3.405

Review 3.  Changing concepts: Menopausal hormone therapy and breast cancer.

Authors:  Rowan T Chlebowski; Garnet L Anderson
Journal:  J Natl Cancer Inst       Date:  2012-03-16       Impact factor: 13.506

4.  A three-gene model to robustly identify breast cancer molecular subtypes.

Authors:  Benjamin Haibe-Kains; Christine Desmedt; Sherene Loi; Aedin C Culhane; Gianluca Bontempi; John Quackenbush; Christos Sotiriou
Journal:  J Natl Cancer Inst       Date:  2012-01-18       Impact factor: 13.506

5.  Organized screening detects breast cancer at earlier stage regardless of molecular phenotype.

Authors:  Claire M B Holloway; Li Jiang; Marlo Whitehead; Jennifer M Racz; Patti A Groome
Journal:  J Cancer Res Clin Oncol       Date:  2018-06-16       Impact factor: 4.553

6.  A fuzzy gene expression-based computational approach improves breast cancer prognostication.

Authors:  Benjamin Haibe-Kains; Christine Desmedt; Françoise Rothé; Martine Piccart; Christos Sotiriou; Gianluca Bontempi
Journal:  Genome Biol       Date:  2010-02-15       Impact factor: 13.583

7.  Biological characteristics of interval cancers: a role for biomarkers in the breast cancer screening.

Authors:  A Caldarella; D Puliti; E Crocetti; S Bianchi; V Vezzosi; P Apicella; M Biancalani; A Giannini; C Urso; F Zolfanelli; E Paci
Journal:  J Cancer Res Clin Oncol       Date:  2012-09-09       Impact factor: 4.553

8.  Expression of aldehyde dehydrogenase 1 (ALDH1) is associated with basal-like markers and features of aggressive tumours in African breast cancer.

Authors:  H Nalwoga; J B Arnes; H Wabinga; L A Akslen
Journal:  Br J Cancer       Date:  2009-12-15       Impact factor: 7.640

9.  HER-2 positive breast cancer: decreasing proportion but stable incidence in Finnish population from 1982 to 2005.

Authors:  Katri Köninki; Minna Tanner; Anssi Auvinen; Jorma Isola
Journal:  Breast Cancer Res       Date:  2009-06-18       Impact factor: 6.466

10.  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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.