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The distinct clinicopathological and prognostic implications of PIK3CA mutations in breast cancer patients from Central China

Authors Wu H, Wang W, Du J, Li H, Wang H, Huang L, Xiang H, Xie J, Liu X, Li H, Lin W

Received 20 November 2018

Accepted for publication 15 January 2019

Published 14 February 2019 Volume 2019:11 Pages 1473—1492

DOI https://doi.org/10.2147/CMAR.S195351

Checked for plagiarism Yes

Review by Single-blind

Peer reviewers approved by Dr Amy Norman

Peer reviewer comments 2

Editor who approved publication: Dr Antonella D'Anneo


Haibo Wu,1,* Wei Wang,2,3,* Jun Du,1,* Hong Li,2,3 Huogang Wang,2,3 Liangliang Huang,1 Hang Xiang,2,3 Jing Xie,1 Xiaoli Liu,2,3 Heng Li,1 Wenchu Lin2,3

1Department of Pathology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230036, Anhui, People’s Republic of China; 2High Magnetic Field Laboratory, Chinese Academy of Sciences, Hefei 230031, Anhui, People’s Republic of China; 3Key Laboratory of High Magnetic Field and Ion Beam Physical Biology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, Anhui, People’s Republic of China

*These authors contributed equally to this work

Purpose: The mutation status and prognostic value of PIK3CA in breast cancer were widely investigated, which showed significant difference among the patients from vast areas around the world. In this study, the frequency, distribution, bias, and burden of PIK3CA mutations and their relationships with clinicopathologic variables and prognostic significances were investigated in the breast cancer patients from Central China.
Materials and methods: Somatic mutations in exon 9 and exon 20 of PIK3CA gene were analyzed using Sanger sequencing combining with targeted next generation sequencing in 494 breast cancer patients from Central China. The correlations between PIK3CA mutations and clinicopathological characteristics and the prognostic values of multiple PIK3CA mutation statuses were evaluated.
Results: PIK3CA mutations were found in 38% of the patients and associated with estrogen receptor-positive, progesterone receptor-positive, low Ki67 labeling index, and luminal/human epidermal growth factor receptor 2-enriched subtypes. Meanwhile, the prognosis of the total patients and the patients in old diagnostic age, progesterone receptor-negative, low Ki67 labeling index, and luminal/human epidermal growth factor receptor 2-enriched subgroups was significantly related to PIK3CA mutations. Most interestingly, the distribution, bias, and burden of PIK3CA mutations were correlated with different clinical, pathological, and molecular features as well as distinct prognostic implications in multiple breast cancer subgroups.
Conclusion: The frequency, distribution, bias, and burden of PIK3CA mutations were associated with various clinical, pathological, and molecular characteristics in the breast cancer patients from Central China. These different mutation statuses can be used as potential indicators of prognosis in multiple breast cancer subgroups.

Keywords: breast cancer, PIK3CA, clinicopathological characteristics, prognosis

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