Literature DB >> 21240058

Molecular classification of breast cancer: is it time to pack up our microscopes?

Margaret C Cummings1, Rachael Chambers, Peter T Simpson, Sunil R Lakhani.   

Abstract

Breast cancer is a heterogeneous disease. The traditional classification uses morphology to divide tumours into distinct categories with differing prognosis and behavior. Despite providing high quality data cheaply, it has limitations and hence there has been a hope that the new molecular methods may help to refine the classification systems. Much has been learned in the last few years however, the molecular taxonomy is still in evolution and likely to change over the coming years. Whether the molecular classification is as useful for special subtypes of breast cancers as it has been for ductal carcinoma, no special type, remains to be determined.

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Year:  2011        PMID: 21240058     DOI: 10.1097/PAT.0b013e328341e0b5

Source DB:  PubMed          Journal:  Pathology        ISSN: 0031-3025            Impact factor:   5.306


  8 in total

Review 1.  Molecular Classification of Breast Carcinoma: From Traditional, Old-Fashioned Way to A New Age, and A New Way.

Authors:  Nuket Eliyatkın; Evrim Yalçın; Baha Zengel; Safiye Aktaş; Enver Vardar
Journal:  J Breast Health       Date:  2015-04-01

2.  A new selective pharmacological enhancer of the Orai1 Ca2+ channel reveals roles for Orai1 in smooth and skeletal muscle functions.

Authors:  Iman Azimi; Ralph J Stevenson; Xuexin Zhang; Aldo Meizoso-Huesca; Ping Xin; Martin Johnson; Jack U Flanagan; Silke B Chalmers; Ryan E Yoast; Jeevak S Kapure; Benjamin P Ross; Irina Vetter; Mark R Ashton; Bradley S Launikonis; William A Denny; Mohamed Trebak; Gregory R Monteith
Journal:  ACS Pharmacol Transl Sci       Date:  2020-01-13

3.  Triple negative breast cancer: an Indian perspective.

Authors:  Murtaza Akhtar; Subhrajit Dasgupta; Murtuza Rangwala
Journal:  Breast Cancer (Dove Med Press)       Date:  2015-08-14

4.  biDCG: a new method for discovering global features of DNA microarray data via an iterative re-clustering procedure.

Authors:  Chia-Pei Chen; Hsieh Fushing; Rob Atwill; Patrice Koehl
Journal:  PLoS One       Date:  2014-07-21       Impact factor: 3.240

5.  Quantum dots-based quantitative and in situ multiple imaging on ki67 and cytokeratin to improve ki67 assessment in breast cancer.

Authors:  Jing Ping Yuan; Lin Wei Wang; Ai Ping Qu; Jia Mei Chen; Qing Ming Xiang; Chuang Chen; Sheng-Rong Sun; Dai-Wen Pang; Juan Liu; Yan Li
Journal:  PLoS One       Date:  2015-04-09       Impact factor: 3.240

Review 6.  Recent advances in the use of metformin: can treating diabetes prevent breast cancer?

Authors:  Diana Hatoum; Eileen M McGowan
Journal:  Biomed Res Int       Date:  2015-03-19       Impact factor: 3.411

7.  Overexpression of TMPRSS4 promotes tumor proliferation and aggressiveness in breast cancer.

Authors:  Xiao-Mei Li; Wen-Lou Liu; Xu Chen; Ya-Wen Wang; Duan-Bo Shi; Hui Zhang; Ran-Ran Ma; Hai-Ting Liu; Xiang-Yu Guo; Feng Hou; Ming Li; Peng Gao
Journal:  Int J Mol Med       Date:  2017-02-17       Impact factor: 4.101

8.  Dual-color fluorescence in situ hybridization reveals an association of chromosome 8q22 but not 8p21 imbalance with high grade invasive breast carcinoma.

Authors:  Logan C Walker; Margaret McDonald; J Elisabeth Wells; Gavin C Harris; Bridget A Robinson; Christine M Morris
Journal:  PLoS One       Date:  2013-07-25       Impact factor: 3.240

  8 in total

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