Literature DB >> 30100073

Molecular Classification of Breast Cancer.

Elena Provenzano1, Gary A Ulaner2, Suet-Feung Chin3.   

Abstract

Breast cancer is a heterogeneous disease, observed traditionally by morphology and protein expression but, more recently with the advent of modern molecular technologies, at the genomic and transcriptomic level. This review describes the association between the different molecular subtypes with the histologic subtypes of breast cancer alongside some of their major genomic characteristics and illustrates how these subtypes may affect the appearance of tumors on imaging studies. The authors aim to show how molecular stratification can be used to augment traditional methods to improve our understanding of breast cancers and their clinical management.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Breast cancer; Copy number alterations; Genes; Molecular classification; Mutations

Mesh:

Year:  2018        PMID: 30100073     DOI: 10.1016/j.cpet.2018.02.004

Source DB:  PubMed          Journal:  PET Clin        ISSN: 1556-8598


  29 in total

1.  Three dimensional engineered models to study hypoxia biology in breast cancer.

Authors:  Vaishali Aggarwal; Oshin Miranda; Paul A Johnston; Shilpa Sant
Journal:  Cancer Lett       Date:  2020-06-20       Impact factor: 8.679

Review 2.  Inflammation, immunosuppressive microenvironment and breast cancer: opportunities for cancer prevention and therapy.

Authors:  Sachin Kumar Deshmukh; Sanjeev Kumar Srivastava; Teja Poosarla; Donna Lynn Dyess; Nicolette Paolaungthong Holliday; Ajay Pratap Singh; Seema Singh
Journal:  Ann Transl Med       Date:  2019-10

3.  Correlation between circulating tumor cells and different molecular biological characteristics in breast cancer patients.

Authors:  Min Zhou; Liping Jiang; Yiyi Fan; Tao Ma; Yan Wang; Xuzhen Wang
Journal:  Gland Surg       Date:  2022-02

4.  Lifetime personal cigarette smoking and risk of young-onset breast cancer by subtype among non-Hispanic Black and White women in the Young Women's Health History Study.

Authors:  Ugonna Ihenacho; Ann S Hamilton; Wendy J Mack; Anna H Wu; Jennifer B Unger; Dorothy R Pathak; Kelly A Hirko; Richard T Houang; Michael F Press; Kendra L Schwartz; Lydia R Marcus; Ellen M Velie
Journal:  Breast Cancer Res Treat       Date:  2022-08-04       Impact factor: 4.624

5.  Screening potential immune signatures for early-stage basal-like/triple-negative breast cancer.

Authors:  Min Wu; Keyu Yuan; Shuzhen Lyu; Yanping Li
Journal:  World J Surg Oncol       Date:  2022-06-24       Impact factor: 3.253

6.  Complicated prognostic values of CCL28 in breast cancer by subtype.

Authors:  Di-He Gong; Yi-Yu Chen; Ding Ma; Hai-Yan Chen; Ke-Feng Ding; Ke-Da Yu
Journal:  J Thorac Dis       Date:  2019-03       Impact factor: 2.895

7.  Bioinformatics analysis to screen key prognostic genes in the breast cancer tumor microenvironment.

Authors:  Qian Ye; Xiaowen Han; Zhengsheng Wu
Journal:  Bioengineered       Date:  2020-12       Impact factor: 3.269

Review 8.  Computational Oncology in the Multi-Omics Era: State of the Art.

Authors:  Guillermo de Anda-Jáuregui; Enrique Hernández-Lemus
Journal:  Front Oncol       Date:  2020-04-07       Impact factor: 6.244

9.  KIN17 promotes tumor metastasis by activating EMT signaling in luminal-A breast cancer.

Authors:  Qiyuan Huang; Kashif Rafiq Zahid; Jinsi Chen; Xiangxiong Pang; Meifeng Zhong; Hongling Huang; Weifeng Pan; Jingxin Yin; Umar Raza; Jiamin Zeng; Xinhong Zhu; Tao Zeng
Journal:  Thorac Cancer       Date:  2021-05-19       Impact factor: 3.500

10.  Upregulation of SOX11 enhances tamoxifen resistance and promotes epithelial-to-mesenchymal transition via slug in MCF-7 breast cancer cells.

Authors:  Yingsheng Xiao; Qin Xie; Qingsong Qin; Yuanke Liang; Haoyu Lin
Journal:  J Cell Physiol       Date:  2020-02-11       Impact factor: 6.384

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