Literature DB >> 18289638

Molecular classifications of breast carcinoma with similar terminology and different definitions: are they the same?

Ping Tang1, Jianmin Wang, Patria Bourne.   

Abstract

There are 4 major molecular classifications in the literature that divide breast carcinoma into basal and nonbasal subtypes, with basal subtypes associated with poor prognosis. Basal subtype is defined as positive for cytokeratin (CK) 5/6, CK14, and/or CK17 in CK classification; negative for ER, PR, and HER2 in triple negative (TN) classification; negative for ER and negative or positive for HER2 in ER/HER2 classification; and positive for CK5/6, CK14, CK17, and/or EGFR; and negative for ER, PR, and HER2 in CK/TN classification. These classifications use similar terminology but different definitions; it is critical to understand the precise relationship between them. We compared these 4 classifications in 195 breast carcinomas and found that (1) the rates of basal subtypes varied from 5% to 36% for ductal carcinoma in situ and 14% to 40% for invasive ductal carcinoma. (2) The rates of basal subtypes varied from 19% to 76% for HG carcinoma and 1% to 7% for NHG carcinoma. (3) The rates of basal subtypes were strongly associated with tumor grades (P < .001) in all classifications and associated with tumor types (in situ versus invasive ductal carcinomas) in TN (P < .001) and CK/TN classifications (P = .035). (4) These classifications were related but not interchangeable (kappa ranges from 0.140 to 0.658 for HG carcinoma and from 0.098 to 0.654 for NHG carcinoma). In conclusion, although these classifications all divide breast carcinoma into basal and nonbasal subtypes, they are not interchangeable. More studies are needed to evaluate to their values in predicting prognosis and guiding individualized therapy.

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Year:  2008        PMID: 18289638     DOI: 10.1016/j.humpath.2007.09.005

Source DB:  PubMed          Journal:  Hum Pathol        ISSN: 0046-8177            Impact factor:   3.466


  21 in total

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2.  Algorithms for prediction of the Oncotype DX recurrence score using clinicopathologic data: a review and comparison using an independent dataset.

Authors:  Michael R Harowicz; Timothy J Robinson; Michaela A Dinan; Ashirbani Saha; Jeffrey R Marks; P Kelly Marcom; Maciej A Mazurowski
Journal:  Breast Cancer Res Treat       Date:  2017-01-07       Impact factor: 4.872

3.  Molecular classification predicts survival for breast cancer patients in Vietnam: a single institutional retrospective analysis.

Authors:  Chu Van Nguyen; Quang Tien Nguyen; Ha Thi Ngoc Vu; Khoa Hong Pham; Huyen Thi Phung
Journal:  Int J Clin Exp Pathol       Date:  2021-03-01

4.  Androgen Receptor Expression in an Indian Breast Cancer Cohort with Relation to Molecular Subtypes and Response to Neoadjuvant Chemotherapy - a Prospective Clinical Study.

Authors:  Akshay Anand; Kul R Singh; Surender Kumar; Nuzhat Husain; Jitendra K Kushwaha; Abhinav A Sonkar
Journal:  Breast Care (Basel)       Date:  2017-06-16       Impact factor: 2.860

Review 5.  Breast cancer intrinsic subtype classification, clinical use and future trends.

Authors:  Xiaofeng Dai; Ting Li; Zhonghu Bai; Yankun Yang; Xiuxia Liu; Jinling Zhan; Bozhi Shi
Journal:  Am J Cancer Res       Date:  2015-09-15       Impact factor: 6.166

6.  Possible Relationship between Basal-Like Breast Carcinoma and Age.

Authors:  Aline Schmitt Polidoro; Rozany Mucha Dufloth; Daniella S Couto Vieira; Luiz Carlos Zeferino; Fernando Schmitt
Journal:  Breast Care (Basel)       Date:  2009-06-15       Impact factor: 2.860

7.  Identification of molecular phenotypes in canine mammary carcinomas with clinical implications: application of the human classification.

Authors:  A Gama; A Alves; F Schmitt
Journal:  Virchows Arch       Date:  2008-08-02       Impact factor: 4.064

8.  Invasive Lobular Carcinomas Do Not Express Basal Cytokeratin Markers CK5/6, CK14 and CK17.

Authors:  Natalya Khilko; Jianmin Wang; Bing Wei; David G Hicks; Ping Tang
Journal:  Breast Cancer (Auckl)       Date:  2010-10-21

Review 9.  Adjuvant therapy of triple negative breast cancer.

Authors:  Edith A Perez; Alvaro Moreno-Aspitia; E Aubrey Thompson; Cathy A Andorfer
Journal:  Breast Cancer Res Treat       Date:  2010-01-22       Impact factor: 4.872

10.  Development of DNA damage response signaling biomarkers using automated, quantitative image analysis.

Authors:  Nana Nikolaishvilli-Feinberg; Stephanie M Cohen; Bentley Midkiff; Yingchun Zhou; Mark Olorvida; Joseph G Ibrahim; Bernard Omolo; Janiel M Shields; Nancy E Thomas; Pamela A Groben; William K Kaufmann; C Ryan Miller
Journal:  J Histochem Cytochem       Date:  2013-12-05       Impact factor: 2.479

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