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. 2022 May 17;10:839986. doi: 10.3389/fcell.2022.839986

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Copyright © 2022 Zou, Xie, Tian, Wu, Xie, Huang, Tang, Deng, Wu and Xie.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Construction of a KCNK-based prognostic signature for breast cancer. (A) Selection of the seven model KCNK genes in lasso regression model. (B) Cross-validation of the constructed signature. (C,D) Distribution of adjusted risk score in the training and validation cohorts. (E) Overall survival (OS) in the low- and high-risk group patients in the training and validation cohorts. The specific prognostic signature with seven KCNK genes was established, which manifested accuracy in predicting the prognosis of breast cancer in both training and validation cohorts.