Breast cancer survival analysis with molecular subtypes: an initial step

Lingli Zhang; Jiaiun Wu; Youbing Zhao; Wenxian Hu; Aihong Qin; Feng Dong; Enjie Liu; Hao Zeng; Hao Xie; Hui Du

doi:10.1109/bibe55377.2022.00081

Breast cancer survival analysis with molecular subtypes: an initial step

Lingli Zhang
, Jiaiun Wu
, Youbing Zhao
, Wenxian Hu
, Aihong Qin
, Feng Dong
, Enjie Liu
, Hao Zeng
, Hao Xie
, Hui Du

Institute for Research in Applicable Computing (IRAC)

Communication University of Zhejiang
Zhejiang University
University of Strathclyde

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

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.

Original language	English
Title of host publication	Proceedings - IEEE 22nd International Conference on Bioinformatics and Bioengineering, BIBE 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	363-366
Number of pages	4
ISBN (Electronic)	9781665484879
ISBN (Print)	9781665484879
DOIs	https://doi.org/10.1109/bibe55377.2022.00081
Publication status	Published - 14 Dec 2022
Event	2022 IEEE 22nd International Conference on Bioinformatics and Bioengineering (BIBE) - Taichung Duration: 7 Nov 2022 → 9 Nov 2022

Publication series

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

Conference

Conference	2022 IEEE 22nd International Conference on Bioinformatics and Bioengineering (BIBE)
City	Taichung
Period	7/11/22 → 9/11/22
Other	2022 IEEE 22nd International Conference on Bioinformatics and Bioengineering (BIBE) (07/11/2022-09/11/2022, Taichung)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Breast Cancer
logistic regression
molecular subtypes
prognostic models
survival analysis
breast cancer

ASJC Scopus subject areas

Computer Networks and Communications
Computer Science Applications
Information Systems
Information Systems and Management
Biomedical Engineering
Numerical Analysis

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10.1109/bibe55377.2022.00081

https://ieeexplore.ieee.org/document/9973477

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Cite this

Zhang, L., Wu, J., Zhao, Y., Hu, W., Qin, A., Dong, F., Liu, E., Zeng, H., Xie, H., & Du, H. (2022). Breast cancer survival analysis with molecular subtypes: an initial step. In Proceedings - IEEE 22nd International Conference on Bioinformatics and Bioengineering, BIBE 2022 (pp. 363-366). (Proceedings - IEEE 22nd International Conference on Bioinformatics and Bioengineering, BIBE 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/bibe55377.2022.00081

Zhang, Lingli ; Wu, Jiaiun ; Zhao, Youbing et al. / Breast cancer survival analysis with molecular subtypes: an initial step. Proceedings - IEEE 22nd International Conference on Bioinformatics and Bioengineering, BIBE 2022. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 363-366 (Proceedings - IEEE 22nd International Conference on Bioinformatics and Bioengineering, BIBE 2022).

@inproceedings{303f41cdc62e4ce997b1556d6bc4792b,

title = "Breast cancer survival analysis with molecular subtypes: an initial step",

abstract = "As a predominant threat to women{\textquoteright}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.",

keywords = "Breast Cancer, logistic regression, molecular subtypes, prognostic models, survival analysis, breast cancer",

author = "Lingli Zhang and Jiaiun Wu and Youbing Zhao and Wenxian Hu and Aihong Qin and Feng Dong and Enjie Liu and Hao Zeng and Hao Xie and Hui Du",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE 22nd International Conference on Bioinformatics and Bioengineering (BIBE) ; Conference date: 07-11-2022 Through 09-11-2022",

year = "2022",

month = dec,

day = "14",

doi = "10.1109/bibe55377.2022.00081",

language = "English",

isbn = "9781665484879",

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

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "363--366",

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

address = "United States",

}

Zhang, L, Wu, J, Zhao, Y, Hu, W, Qin, A, Dong, F, Liu, E, Zeng, H, Xie, H & Du, H 2022, Breast cancer survival analysis with molecular subtypes: an initial step. in Proceedings - IEEE 22nd International Conference on Bioinformatics and Bioengineering, BIBE 2022. Proceedings - IEEE 22nd International Conference on Bioinformatics and Bioengineering, BIBE 2022, Institute of Electrical and Electronics Engineers Inc., pp. 363-366, 2022 IEEE 22nd International Conference on Bioinformatics and Bioengineering (BIBE), Taichung, 7/11/22. https://doi.org/10.1109/bibe55377.2022.00081

Breast cancer survival analysis with molecular subtypes: an initial step. / Zhang, Lingli; Wu, Jiaiun; Zhao, Youbing et al.
Proceedings - IEEE 22nd International Conference on Bioinformatics and Bioengineering, BIBE 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 363-366 (Proceedings - IEEE 22nd International Conference on Bioinformatics and Bioengineering, BIBE 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Breast cancer survival analysis with molecular subtypes: an initial step

AU - Zhang, Lingli

AU - Wu, Jiaiun

AU - Zhao, Youbing

AU - Hu, Wenxian

AU - Qin, Aihong

AU - Dong, Feng

AU - Liu, Enjie

AU - Zeng, Hao

AU - Xie, Hao

AU - Du, Hui

PY - 2022/12/14

Y1 - 2022/12/14

N2 - 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.

AB - 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.

KW - Breast Cancer

KW - logistic regression

KW - molecular subtypes

KW - prognostic models

KW - survival analysis

KW - breast cancer

UR - https://www.scopus.com/pages/publications/85145583879

U2 - 10.1109/bibe55377.2022.00081

DO - 10.1109/bibe55377.2022.00081

M3 - Conference contribution

SN - 9781665484879

T3 - Proceedings - IEEE 22nd International Conference on Bioinformatics and Bioengineering, BIBE 2022

SP - 363

EP - 366

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

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2022 IEEE 22nd International Conference on Bioinformatics and Bioengineering (BIBE)

Y2 - 7 November 2022 through 9 November 2022

ER -

Zhang L, Wu J, Zhao Y, Hu W, Qin A, Dong F et al. Breast cancer survival analysis with molecular subtypes: an initial step. In Proceedings - IEEE 22nd International Conference on Bioinformatics and Bioengineering, BIBE 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 363-366. (Proceedings - IEEE 22nd International Conference on Bioinformatics and Bioengineering, BIBE 2022). doi: 10.1109/bibe55377.2022.00081

Breast cancer survival analysis with molecular subtypes: an initial step

Abstract

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UN SDGs

Keywords

ASJC Scopus subject areas

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