Literature DB >> 17015014

Generalisability of survival estimates for patients with breast cancer--a comparison across two population-based series.

Johan Lundin1, Tiina Lehtimäki, Mikael Lundin, Kaija Holli, Liisa Elomaa, Taina Turpeenniemi-Hujanen, Vesa Kataja, Jorma Isola, Heikki Joensuu.   

Abstract

The purpose of the study was to analyse the generalisability and geographic transportability of survival estimates produced by commonly used prognostic factors. We compared the influence of tumour size, histologic grade, axillary nodal status, oestrogen and progesterone receptor contents, age at diagnosis and two prognostication schemes (the Nottingham Prognostic Index and St. Gallen criteria) in two nationwide cohorts of patients diagnosed with breast cancer in 1991-2, the FinProg (n=2923, Finland) and the SEER series (n=43,249, the United States (US)). Eight-year estimates of breast cancer-specific (84% versus 80%), relative (86% versus 83%), and overall (70% versus 69%) survival were slightly more favourable in the SEER than in the FinProg series, respectively. Despite differences in demographic variables and the frequency of use of adjuvant therapies and mammography screening between the series, the prognostic factors examined produced close to overlapping survival curves with similar shapes. The results suggest that quantitative survival estimates based on frequently used prognostic factors and prognostication schemes are generalisable and transportable between large, unselected cohorts of breast cancer patients.

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Year:  2006        PMID: 17015014     DOI: 10.1016/j.ejca.2006.06.028

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  6 in total

1.  WebDISCO: a web service for distributed cox model learning without patient-level data sharing.

Authors:  Chia-Lun Lu; Shuang Wang; Zhanglong Ji; Yuan Wu; Li Xiong; Xiaoqian Jiang; Lucila Ohno-Machado
Journal:  J Am Med Inform Assoc       Date:  2015-07-09       Impact factor: 4.497

2.  VERTICOX: Vertically Distributed Cox Proportional Hazards Model Using the Alternating Direction Method of Multipliers.

Authors:  Wenrui Dai; Xiaoqian Jiang; Luca Bonomi; Yong Li; Hongkai Xiong; Lucila Ohno-Machado
Journal:  IEEE Trans Knowl Data Eng       Date:  2020-04-22       Impact factor: 9.235

3.  Ki67: a time-varying biomarker of risk of breast cancer in atypical hyperplasia.

Authors:  Marta Santisteban; Carol Reynolds; Emily G Barr Fritcher; Marlene H Frost; Robert A Vierkant; Stephanie S Anderson; Amy C Degnim; Daniel W Visscher; V Shane Pankratz; Lynn C Hartmann
Journal:  Breast Cancer Res Treat       Date:  2009-09-23       Impact factor: 4.872

4.  Survival estimates stratified by the Nottingham Prognostic Index for early breast cancer: a systematic review and meta-analysis of observational studies.

Authors:  Ewan Gray; Anna Donten; Katherine Payne; Peter S Hall
Journal:  Syst Rev       Date:  2018-09-15

5.  Circulating tumor cells, disease recurrence and survival in newly diagnosed breast cancer.

Authors:  Bas Franken; Marco R de Groot; Walter J B Mastboom; Istvan Vermes; Job van der Palen; Arjan G J Tibbe; Leon W M M Terstappen
Journal:  Breast Cancer Res       Date:  2012-10-22       Impact factor: 6.466

6.  Quantification of Estrogen Receptor-Alpha Expression in Human Breast Carcinomas With a Miniaturized, Low-Cost Digital Microscope: A Comparison with a High-End Whole Slide-Scanner.

Authors:  Oscar Holmström; Nina Linder; Mikael Lundin; Hannu Moilanen; Antti Suutala; Riku Turkki; Heikki Joensuu; Jorma Isola; Vinod Diwan; Johan Lundin
Journal:  PLoS One       Date:  2015-12-14       Impact factor: 3.240

  6 in total

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