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Author:

Liu, Bo (Liu, Bo.) (Scholars:刘博) | Li, Xingrui (Li, Xingrui.) | Wang, Huina (Wang, Huina.) | Zhao, Shuangtao (Zhao, Shuangtao.) | Li, Jianqiang (Li, Jianqiang.) (Scholars:李建强) | Qu, Guangzhi (Qu, Guangzhi.) | Wang, Fei (Wang, Fei.)

Indexed by:

EI Scopus SCIE

Abstract:

Triple-negative breast cancer is the worst prognosis in breast cancer, accounting for 10.0-20.8% of all breast cancers. Considering that triple-negative breast cancer has great heterogeneity and very poor prognosis, clinical medication guidance is in urgent need of a more detailed classification of breast cancer itself. Although many researchers have been dedicated to the clustering of triple-negative breast cancer and have found possible targets based on typing, their results are not closely related to the prognosis. This paper utilizes three clustering methods to retype the patient data with triple-negative breast cancer, and the results show that the triple-negative breast cancer data could be classified into two categories. Eight important genes and three important clinical factors related to the prognosis of two types of triple-negative breast cancer have been obtained. These genes have the following three characteristics: co-expression, differential expression and interaction. In terms of breast cancer control, the prognosis can be controlled as much as possible by regulating gene levels, which provides new directions and ideas for related research on breast cancer prognosis.

Keyword:

triple-negative breast cancer clustering gene selection retyping

Author Community:

  • [ 1 ] [Liu, Bo]Beijing Univ Technol, Sch Software Engn, Beijing, Peoples R China
  • [ 2 ] [Li, Xingrui]Beijing Univ Technol, Sch Software Engn, Beijing, Peoples R China
  • [ 3 ] [Wang, Huina]Beijing Univ Technol, Sch Software Engn, Beijing, Peoples R China
  • [ 4 ] [Li, Jianqiang]Beijing Univ Technol, Sch Software Engn, Beijing, Peoples R China
  • [ 5 ] [Zhao, Shuangtao]Univ Texas MD Anderson Canc Ctr, Dept Gen Med, Houston, TX 77054 USA
  • [ 6 ] [Qu, Guangzhi]Oakland Univ, Dept Comp Sci & Engn, Rochester, MI 48309 USA
  • [ 7 ] [Wang, Fei]Weill Cornell Med Coll, Healthcare Policy & Res, New York, NY USA

Reprint Author's Address:

  • [Zhao, Shuangtao]Univ Texas MD Anderson Canc Ctr, Dept Gen Med, Houston, TX 77054 USA

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Source :

EXPERT SYSTEMS

ISSN: 0266-4720

Year: 2020

Issue: 2

Volume: 40

3 . 3 0 0

JCR@2022

ESI Discipline: COMPUTER SCIENCE;

ESI HC Threshold:132

Cited Count:

WoS CC Cited Count: 2

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 12

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