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HER2-Low Breast Cancer: Molecular Characteristics and Prognosis.

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TLDR
In this article, the distribution of PAM50 intrinsic subtypes within HER2-low BC subtypes according to hormonal receptor status (positive (HR+) and negative (HR−), and the impact of HER2low status on survival outcomes (progression free interval (PFI), disease-free interval (DFI), and overall survival (OS)).
Abstract
Background: We aimed to determine the distribution of intrinsic subtypes within HER2-low breast cancer (BC), and to describe the prognostic impact of HER2-low status on survival outcomes. Methods: This is a retrospective, observational study of primary BC extracted from The Cancer Genome Atlas dataset. We described the distribution of PAM50 intrinsic subtypes within HER2-low BC subtype according to hormonal receptor status (positive (HR+) and negative (HR−)). Secondly, we assessed the impact of HER2-low on survival outcomes (progression-free interval (PFI), disease-free interval (DFI), and overall survival (OS)). Results: We analyzed 804 primary BCs, including 410 (51%) HER2-low BCs (336 HR+ and 74 HR−). The proportion of HER2-enriched tumors was higher in the HER2-low/HR− group compared to HER2-low/HR+ (13.7% versus 1.2%, respectively). HER2-enriched tumors were more frequent in HER2-low/HR− and HER2-low/HR+ subtypes, compared to HER2-negative/HR− and HER2-negative/HR+ subtypes, respectively (13.7% versus 1.6% and 1.2% versus 0.5%, respectively). We observed no significant differences in PFI, DFI, and OS between HER2-low subtypes and each non-HER2-low subtype paired by HR status. Conclusions: Our characterization of PAM50 intrinsic subtypes within HER2-low breast cancer may explain the different clinical behaviors and responses to treatment, and ultimately support further investigation of new treatment strategies in the HER2-low category. Moreover, it highlights the importance of considering HR status in the HER2-low category.

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Journal ArticleDOI

Evolution of low HER2 expression between early and advanced-stage breast cancer.

TL;DR: In this paper , the evolution of low human epidermal growth factor receptor 2 (HER2) expression during the course of disease is still poorly characterised, and controversial data exist on its prognostic implications.
Journal ArticleDOI

Clinical significance of HER2-low expression in early breast cancer: a nationwide study from the Korean Breast Cancer Society

TL;DR: Kim et al. as discussed by the authors explored the differences in clinicopathological characteristics and survival outcomes between HER2-low and HER2IHC 0 breast cancer, and showed that the impact of low HER2 expression on breast cancer-specific survival was significant only in triple-negative breast cancer (HRs, 0.68; 95% CI, 049-0.93; P = 0.019).
Journal ArticleDOI

Clinical significance of HER2-low expression in early breast cancer: a nationwide study from the Korean Breast Cancer Society

TL;DR: Kim et al. as mentioned in this paper explored the differences in clinicopathological characteristics and survival outcomes between HER2-low and HER2IHC 0 breast cancer, and showed that the impact of low HER2 expression on breast cancer-specific survival was significant only in triple-negative breast cancer (HRs, 0.68; 95% CI, 049-0.93; P = 0.019).
Journal ArticleDOI

Prognostic and Biologic Significance of ERBB2-Low Expression in Early-Stage Breast Cancer.

TL;DR: The results of this cohort study did not support the interpretation of ERBB2-low breast cancer as a distinct biologic subtype and suggested that, given the worse prognosis of ER-low tumors, they may be associated with confounding of prognostic analyses of ER BB2- low expression.
References
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Journal ArticleDOI

Human breast cancer: correlation of relapse and survival with amplification of the HER-2/neu oncogene

TL;DR: Amplification of the HER-2/neu gene was a significant predictor of both overall survival and time to relapse in patients with breast cancer, and had greater prognostic value than most currently used prognostic factors in lymph node-positive disease.
Journal ArticleDOI

Comprehensive molecular portraits of human breast tumours

Daniel C. Koboldt, +355 more
- 04 Oct 2012 - 
TL;DR: The ability to integrate information across platforms provided key insights into previously defined gene expression subtypes and demonstrated the existence of four main breast cancer classes when combining data from five platforms, each of which shows significant molecular heterogeneity.
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