1. Mou, Kuanhou, Zhang, Jian, Mu, Xin, Liu, Wenli, Ge, Rui. 2021. Zwint facilitates melanoma progression by promoting c-Myc expression. In Experimental and therapeutic medicine, 22, 818. doi:10.3892/etm.2021.10250. https://pubmed.ncbi.nlm.nih.gov/34131441/
2. Zeng, Xiaoyu, Shi, Gaoli, He, Qiankun, Zhu, Pingping. 2021. Screening and predicted value of potential biomarkers for breast cancer using bioinformatics analysis. In Scientific reports, 11, 20799. doi:10.1038/s41598-021-00268-9. https://pubmed.ncbi.nlm.nih.gov/34675265/
3. Peng, Fang, Li, Qiang, Niu, Shao-Qing, Chen, Ming, Bao, Yong. 2019. ZWINT is the next potential target for lung cancer therapy. In Journal of cancer research and clinical oncology, 145, 661-673. doi:10.1007/s00432-018-2823-1. https://pubmed.ncbi.nlm.nih.gov/30643969/
4. Li, Wen, Feng, Shan-Shan, Wu, Hao, Liu, Xiang, Chen, Zhu. 2022. Comprehensive Analysis of CDK1-Associated ceRNA Network Revealing the Key Pathways LINC00460/LINC00525-Hsa-Mir-338-FAM111/ZWINT as Prognostic Biomarkers in Lung Adenocarcinoma Combined with Experiments. In Cells, 11, . doi:10.3390/cells11071220. https://pubmed.ncbi.nlm.nih.gov/35406786/
5. Lin, Tong, Zhang, Yingzhao, Lin, Zhimei, Peng, Lisheng. 2021. ZWINT is a Promising Therapeutic Biomarker Associated with the Immune Microenvironment of Hepatocellular Carcinoma. In International journal of general medicine, 14, 7487-7501. doi:10.2147/IJGM.S340057. https://pubmed.ncbi.nlm.nih.gov/34744456/
6. Shao, Ming-Tao, Hu, Yang-Zhi, Ding, Hui, Zhao, Xiao-Xu, Pan, Yun-Long. . The overexpression of ZWINT in integrated bioinformatics analysis forecasts poor prognosis in breast cancer. In Translational cancer research, 9, 187-193. doi:10.21037/tcr.2019.12.66. https://pubmed.ncbi.nlm.nih.gov/35117172/
7. Ma, Zhe, Cai, Yufei, Tian, Chenchen. . ZWINT promotes the proliferation, migration, and invasion of cervical cancer cells by regulating the p53/p21 signaling pathway. In The Chinese journal of physiology, 66, 372-378. doi:10.4103/cjop.CJOP-D-23-00001. https://pubmed.ncbi.nlm.nih.gov/37929349/
8. Xie, Chengmao, Lu, Chang, Liu, Yong, Liu, Zhaohui. 2022. Diagnostic gene biomarkers for predicting immune infiltration in endometriosis. In BMC women's health, 22, 184. doi:10.1186/s12905-022-01765-3. https://pubmed.ncbi.nlm.nih.gov/35585523/
智鼠故事 
