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Breast cancer survival analysis with molecular subtypes: an initial step

  • Lingli Zhang
    ,
  • Jiaiun Wu
    ,
  • Youbing Zhao
    ,
  • Wenxian Hu
    ,
  • Aihong Qin
    ,
  • Feng Dong
  • Communication University of Zhejiang
    ,
  • Zhejiang University
    ,
  • University of Strathclyde
Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Sustainable Development Goals

  • SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well

Abstract

As a predominant threat to women’s health worldwide, breast cancer has become increasingly important in oncology research. The discovery of molecular subtypes of breast cancer has led to more subtype oriented treatment and prognosis prediction. Effective prognosis models help to estimate the recurrence as well as the quality and duration of survival, leading to more personalized treatments. However, most traditional prognostic models either ignore molecular subtypes or only make limited use of them. The roles of molecular subtypes in the development and treatment of breast cancer have not been fully revealed. With the over 1200 cases collected by Sir Run Run Shaw Hospital of Zhejiang University in the past two decades, we aim to improve understanding of molecular subtypes and their impacts on the prognosis via data analysis in the long run. As the initial stage, this short paper presents our preliminary work of logistic regression experiments with the data. Though molecular subtypes have not been included the tentative model, they are to be explored further in following stages.

Publication Information

Output type

Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 363-366 (4 pages)

Publication milestones

  • Published - 14/12/2022

Publication status

Published - 14/12/2022

Publisher

Institute of Electrical and Electronics Engineers Inc., United States

Publication series

  • Publication series name: Proceedings - IEEE 22nd International Conference on Bioinformatics and Bioengineering, BIBE 2022

ISBN (Print)

9781665484879

ISBN (Electronic)

9781665484879

External Publication IDs

  • handle.net: 10547/626157
  • Scopus: 85145583879

Host publication title

Proceedings - IEEE 22nd International Conference on Bioinformatics and Bioengineering, BIBE 2022

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