Literature DB >> 22987963

The current state of breast cancer classification.

G Viale1.   

Abstract

Breast cancer is a highly heterogeneous disease due to its diverse morphological features, the variable clinical outcome and the response to different therapeutic options. It is therefore necessary to devise a clinically meaningful classification of the disease, which has to be scientifically sound, clinically useful and widely reproducible. The established histopathological classification has a limited clinical utility, due to insufficient prognostic and predictive power. More recent classification schemes, based on the immunohistochemical characterization of breast cancer for the assessment of hormone receptor status, HER2 gene over-expression or amplification and the proliferative fraction or on gene expression profiles, correlate much better with the clinical outcome and may be used to inform the choice of the systemic therapy.

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Year:  2012        PMID: 22987963     DOI: 10.1093/annonc/mds326

Source DB:  PubMed          Journal:  Ann Oncol        ISSN: 0923-7534            Impact factor:   32.976


  61 in total

1.  MCM2: An alternative to Ki-67 for measuring breast cancer cell proliferation.

Authors:  Einas M Yousef; Daniela Furrer; David L Laperriere; Muhammad R Tahir; Sylvie Mader; Caroline Diorio; Louis A Gaboury
Journal:  Mod Pathol       Date:  2017-01-13       Impact factor: 7.842

2.  An In Vivo Gain-of-Function Screen Identifies the Williams-Beuren Syndrome Gene GTF2IRD1 as a Mammary Tumor Promoter.

Authors:  Yongliang Huo; Timothy Su; Qiuyin Cai; Ian G Macara
Journal:  Cell Rep       Date:  2016-05-26       Impact factor: 9.423

3.  The role of ultrasonographic findings to predict molecular subtype, histologic grade, and hormone receptor status of breast cancer.

Authors:  Filiz Çelebi; Kezban Nur Pilancı; Çetin Ordu; Filiz Ağacayak; Gül Alço; Serkan İlgün; Dauren Sarsenov; Zeynep Erdoğan; Vahit Özmen
Journal:  Diagn Interv Radiol       Date:  2015 Nov-Dec       Impact factor: 2.630

4.  GSIAR: gene-subcategory interaction-based improved deep representation learning for breast cancer subcategorical analysis using gene expression, applicable for precision medicine.

Authors:  Chiranjib Sur
Journal:  Med Biol Eng Comput       Date:  2019-10-07       Impact factor: 2.602

5.  Bi-phasic expression of Heterochromatin Protein 1 (HP1) during breast cancer progression: Potential roles of HP1 and chromatin structure in tumorigenesis.

Authors:  Young-Ho Lee; David K Ann
Journal:  J Nat Sci       Date:  2015

6.  Smart Polymeric Nanoparticles with pH-Responsive and PEG-Detachable Properties (II): Co-Delivery of Paclitaxel and VEGF siRNA for Synergistic Breast Cancer Therapy in Mice.

Authors:  Mingji Jin; Yan Hou; Xiuquan Quan; Liqing Chen; Zhonggao Gao; Wei Huang
Journal:  Int J Nanomedicine       Date:  2021-08-13

7.  Advances in the Prevention and Treatment of Obesity-Driven Effects in Breast Cancers.

Authors:  Kuo Chen; Jin Zhang; Narasimha M Beeraka; Chengyun Tang; Yulia V Babayeva; Mikhail Y Sinelnikov; Xinliang Zhang; Jiacheng Zhang; Junqi Liu; Igor V Reshetov; Olga A Sukocheva; Pengwei Lu; Ruitai Fan
Journal:  Front Oncol       Date:  2022-06-22       Impact factor: 5.738

8.  Analysis of the Transcriptome: Regulation of Cancer Stemness in Breast Ductal Carcinoma In Situ by Vitamin D Compounds.

Authors:  Naing Lin Shan; Audrey Minden; Philip Furmanski; Min Ji Bak; Li Cai; Roman Wernyj; Davit Sargsyan; David Cheng; Renyi Wu; Hsiao-Chen D Kuo; Shanyi N Li; Mingzhu Fang; Hubert Maehr; Ah-Ng Kong; Nanjoo Suh
Journal:  Cancer Prev Res (Phila)       Date:  2020-05-28

Review 9.  Emerging ways to treat breast cancer: will promises be met?

Authors:  Pouria Samadi; Sahar Saki; Fatemeh Karimi Dermani; Mona Pourjafar; Massoud Saidijam
Journal:  Cell Oncol (Dordr)       Date:  2018-09-27       Impact factor: 6.730

10.  May CTC technologies promote better cancer management?

Authors:  Martin Pesta; Vlastimil Kulda; Andrea Narsanska; Jakub Fichtl; Ondrej Topolcan
Journal:  EPMA J       Date:  2015-01-22       Impact factor: 6.543

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