Journal Article
. 2010 Sep;10().
doi: 10.1186/1471-2407-10-507.

Triple-negative, basal-like, and quintuple-negative breast cancers: better prediction model for survival

Yoon-La Choi 1 Ensel Oh  Sarah Park  Yeonju Kim  Yeon-Hee Park  Kyoung Song  Eun Yoon Cho  Yun-Chul Hong  Jong Sun Choi  Jeong Eon Lee  Jung Han Kim  Seok Jin Nam  Young-Hyuck Im  Jung-Hyun Yang  Young Kee Shin  
Affiliations
  • PMID: 20860845
  •     28 References
  •     25 citations

Abstract

Background: Triple-negative breast cancers (TNBCs) and basal-like breast cancers (BLBCs) are known as poor outcome subtypes with a lack of targeted therapy. Previous studies have shown conflicting results regarding the difference of prognostic significance between TNBCs and BLBCs. In this study, we aimed to characterize the prognostic features of TNBCs, in view of BLBCs and quintuple-negative breast cancers (QNBC/5NPs).

Methods: Using tissue microarray-based immunohistochemical analysis, we categorized 951 primary breast cancers into four or five subtypes according to the expression of ER, PR, HER2, and basal markers (CK5/6, EGFR).

Results: The results of this study showed that both TNBCs and BLBCs were associated with high histological and/or nuclear grades. When the TNBCs are divided into two subtypes by the presence of basal markers, the clinicopathologic characteristics of TNBCs were mainly maintained in the BLBCs. The 5-subgrouping was the better prediction model for both disease free and overall survival in breast cancers than the 4-subgrouping. After multivariate analysis of TNBCs, the BLBCs did not have a worse prognosis than the QNBC/5NPs. Interestingly, the patients with BLBCs showed significant adjuvant chemotherapy benefit. In addition, QNBC/5NPs comprised about 6~8% of breast cancers in publicly available breast cancer datasets

Conclusion: The QNBC/5NP subtype is a worse prognostic subgroup of TNBCs, especially in higher stage and this result may be related to adjuvant chemotherapy benefit of BLBCs, calling for caution in the identification of subgroups of patients for therapeutic classification.

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