Literature DB >> 26486826

Biological markers of invasive breast cancer.

Akiko Matsumoto1, Hiromitsu Jinno2, Tomofumi Ando3, Taku Fujii3, Tetsuya Nakamura3, Junichi Saito3, Maiko Takahashi4, Tetsu Hayashida4, Yuko Kitagawa4.   

Abstract

Biological markers for breast cancer are biomolecules that result from cancer-related processes and are associated with particular clinical outcomes; they thus help predict responses to therapy. In recent years, gene expression profiling has made the molecular classification of breast cancer possible. Classification of breast cancer by immunohistochemical expression of estrogen receptor, progesterone receptor, human epidermal growth factor receptor 2 and Ki-67 is standard practice for clinical decision-making. Assessments of hormone receptor expression and human epidermal growth factor receptor 2 overexpression help estimate benefits from targeted therapies and have greatly improved prognoses for women with these breast cancer types. Although Ki-67 positivity is associated with an adverse outcome, its clear identification is an aid to optimal disease management. Standardization of testing methodology to minimize inter-laboratory measurement variations is a remaining issue. Multi-gene assays provide prognostic information and identify those most likely to benefit from systemic chemotherapy. Incorporating molecular profiles with conventional pathological classification would be more precise, and could enhance the clinical development of personalized therapy in breast cancer.
© The Author 2015. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  HER2; Ki-67; biomarkers; estrogen receptor; progesterone receptor

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Year:  2015        PMID: 26486826     DOI: 10.1093/jjco/hyv153

Source DB:  PubMed          Journal:  Jpn J Clin Oncol        ISSN: 0368-2811            Impact factor:   3.019


  9 in total

1.  Tumor DNA hypomethylation of LINE-1 is associated with low tumor grade of breast cancer in Tunisian patients.

Authors:  Hayet Radia Zeggar; Alexandre How-Kit; Antoine Daunay; Ilhem Bettaieb; Mourad Sahbatou; Khaled Rahal; Olfa Adouni; Amor Gammoudi; Hayet Douik; Jean-François Deleuze; Maher Kharrat
Journal:  Oncol Lett       Date:  2020-06-17       Impact factor: 2.967

2.  miR-3646 promotes cell proliferation, migration, and invasion via regulating G2/M transition in human breast cancer cells.

Authors:  Shuang Tao; Yao-Bang Liu; Zhi-Wei Zhou; Bin Lian; Hong Li; Jin-Ping Li; Shu-Feng Zhou
Journal:  Am J Transl Res       Date:  2016-04-15       Impact factor: 4.060

3.  Everolimus Inhibits the Progression of Ductal Carcinoma In Situ to Invasive Breast Cancer Via Downregulation of MMP9 Expression.

Authors:  Guang Chen; Xiao-Fei Ding; Kyle Pressley; Hakim Bouamar; Bingzhi Wang; Guixi Zheng; Larry E Broome; Alia Nazarullah; Andrew J Brenner; Virginia Kaklamani; Ismail Jatoi; Lu-Zhe Sun
Journal:  Clin Cancer Res       Date:  2019-12-23       Impact factor: 12.531

Review 4.  Profile of palbociclib in the treatment of metastatic breast cancer.

Authors:  Moataz Ehab; Mohamad Elbaz
Journal:  Breast Cancer (Dove Med Press)       Date:  2016-05-17

5.  Limited utility of tissue micro-arrays in detecting intra-tumoral heterogeneity in stem cell characteristics and tumor progression markers in breast cancer.

Authors:  Pascale Kündig; Charlotte Giesen; Hartland Jackson; Bernd Bodenmiller; Bärbel Papassotirolopus; Sandra Nicole Freiberger; Catharine Aquino; Lennart Opitz; Zsuzsanna Varga
Journal:  J Transl Med       Date:  2018-05-08       Impact factor: 5.531

6.  Stage-specific survival has improved for young breast cancer patients since 2000: but not equally.

Authors:  Cassia Bree Trewin; Anna Louise Viktoria Johansson; Kirsti Vik Hjerkind; Bjørn Heine Strand; Cecilie Essholt Kiserud; Giske Ursin
Journal:  Breast Cancer Res Treat       Date:  2020-06-03       Impact factor: 4.872

7.  Immunoexpression of claudins 4 and 7 among invasive breast carcinoma subtypes: A large diagnostic study using tissue microarray.

Authors:  Angela Flávia Logullo; Fatima Solange Pasini; Suely Nonogaki; Rafael Malagoli Rocha; Fernando Augusto Soares; Maria Mitzi Brentani
Journal:  Mol Clin Oncol       Date:  2018-07-27

8.  Long noncoding RNA ATB promotes the epithelial-mesenchymal transition by upregulating the miR-200c/Twist1 axe and predicts poor prognosis in breast cancer.

Authors:  Rong-Hui Li; Min Chen; Jing Liu; Chang-Chun Shao; Cui-Ping Guo; Xiao-Long Wei; Yao-Chen Li; Wen-He Huang; Guo-Jun Zhang
Journal:  Cell Death Dis       Date:  2018-12-05       Impact factor: 8.469

9.  Identification of a 6-gene signature for the survival prediction of breast cancer patients based on integrated multi-omics data analysis.

Authors:  Wenju Mo; Yuqin Ding; Shuai Zhao; Dehong Zou; Xiaowen Ding
Journal:  PLoS One       Date:  2020-11-10       Impact factor: 3.240

  9 in total

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