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• W2885281644 abstract "An integrated bioinformatical analysis to evaluate the role of KIF4A as a prognostic biomarker for breast cancer Dan Xue,1,* Pu Cheng,2,* Mengjiao Han,3 Xiyong Liu,4,5 Lijun Xue,6 Chenyi Ye,7 Ke Wang,8 Jian Huang8,9 1Department of Plastic Surgery, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China; 2Department of Gynaecology, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China; 3Department of Medical Oncology, Key Laboratory of Biotherapy in Zhejiang, Sir Run Run Shaw Hospital, Medical School of Zhejiang University, Hangzhou, China; 4Biomarker Development, California Cancer Institute, Temple City, CA, USA; 5School of Medicine, Taipei Medical University, Taipei, Taiwan, Republic of China; 6Department of Pathology, Loma Linda University Medical Center, Loma Linda, CA, USA; 7Department of Orthopaedics, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China; 8Department of Surgical Oncology, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China; 9Gastroenterology Institute, Zhejiang University School of Medicine, Hangzhou, China *These authors contributed equally to this work Purpose: The aim of this study was to investigate the diagnostic and prognostic value of human kinesin family member 4A (KIF4A) as an effective biomarker for breast cancer.Materials and methods: Cancer Genome Atlas data and 12 independent public breast cancer microarray data sets were downloaded and analyzed using individual and pooled approaches.Results: The results of our study revealed a strong and positive correlation between KIF4A expression and malignant features of breast cancer. KIF4A had a strong prognostic value in both ER-positive and ER-negative breast cancers comparable to or even better than tumor size, lymph node invasion, and Elston grade. We also found that KIF4A might be the target gene of microRNA-335, which can suppress KIF4A expression by targeting the 3′-untranslated region of its mRNA.Conclusion: KIF4A might serve as a robust prognostic predictor for breast cancer. Targeting KIF4A activity could be a promising therapeutic option in breast cancer treatment. Keywords: breast cancer, KIF4A, microarray, microRNA, prognosis" @default.
• W2885281644 created "2018-08-22" @default.
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• W2885281644 date "2018-08-01" @default.
• W2885281644 modified "2023-09-25" @default.
• W2885281644 title "An integrated bioinformatical analysis to evaluate the role of KIF4A as a prognostic biomarker for breast cancer" @default.
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• W2885281644 doi "https://doi.org/10.2147/ott.s164730" @default.
• W2885281644 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6091482" @default.
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• W2885281644 hasPublicationYear "2018" @default.
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