1. Gouw, Launce G, Reading, N Scott, Jenson, Stephen D, Lim, Megan S, Elenitoba-Johnson, Kojo S J. . Expression of the Rho-family GTPase gene RHOF in lymphocyte subsets and malignant lymphomas. In British journal of haematology, 129, 531-3. doi:. https://pubmed.ncbi.nlm.nih.gov/15877735/
2. Su, Yongcheng, Wang, Fen, Lei, Ziyu, Xu, Beibei, Hu, Tianhui. 2023. An Integrated Multi-Omics Analysis Identifying Immune Subtypes of Pancreatic Cancer. In International journal of molecular sciences, 25, . doi:10.3390/ijms25010142. https://pubmed.ncbi.nlm.nih.gov/38203311/
3. Li, Shi, Liu, Yu, Bai, Yifeng, Wu, Mengwan, Xia, Jianling. . Ras Homolog Family Member F, Filopodia Associated Promotes Hepatocellular Carcinoma Metastasis by Altering the Metabolic Status of Cancer Cells Through RAB3D. In Hepatology (Baltimore, Md.), 73, 2361-2379. doi:10.1002/hep.31641. https://pubmed.ncbi.nlm.nih.gov/33205519/
4. Hou, Yue, Zi, Jie, Ge, Zheng. 2021. High Expression of RhoF Predicts Worse Overall Survival: A Potential Therapeutic Target for non-M3 Acute Myeloid Leukemia. In Journal of Cancer, 12, 5530-5542. doi:10.7150/jca.52648. https://pubmed.ncbi.nlm.nih.gov/34405015/
5. Luo, Jianguo, Chen, Shaojun, Chen, Jingsen, He, Fei, Wang, Enli. 2022. Identification and validation of DNA methylation markers to predict axillary lymph node metastasis of breast cancer. In PloS one, 17, e0278270. doi:10.1371/journal.pone.0278270. https://pubmed.ncbi.nlm.nih.gov/36454866/
6. Düzen, Irfan V, Yavuz, Fethi, Vuruskan, Ertan, Sucu, Murat, Demiryürek, Abdullah T. 2019. Investigation of leukocyte RHO/ROCK gene expressions in patients with non-valvular atrial fibrillation. In Experimental and therapeutic medicine, 18, 2777-2782. doi:10.3892/etm.2019.7929. https://pubmed.ncbi.nlm.nih.gov/31572525/
7. Yang, Rui-Meng, Zhan, Ming, Xu, Sun-Wang, Zhu, Jun, Wang, Jian. 2017. miR-3656 expression enhances the chemosensitivity of pancreatic cancer to gemcitabine through modulation of the RHOF/EMT axis. In Cell death & disease, 8, e3129. doi:10.1038/cddis.2017.530. https://pubmed.ncbi.nlm.nih.gov/29048402/
8. Dong, Biao, Zhang, Yueshan, Gao, Han, Liu, Jia, Li, Jiankun. 2024. Machine Learning Developed a MYC Expression Feature-Based Signature for Predicting Prognosis and Chemoresistance in Pancreatic Adenocarcinoma. In Biochemical genetics, 62, 4191-4214. doi:10.1007/s10528-023-10625-0. https://pubmed.ncbi.nlm.nih.gov/38245886/
9. Fan, Ping, Cunliffe, Heather E, Griffith, Obi L, Gray, Joe W, Jordan, V Craig. 2014. Identification of gene regulation patterns underlying both oestrogen- and tamoxifen-stimulated cell growth through global gene expression profiling in breast cancer cells. In European journal of cancer (Oxford, England : 1990), 50, 2877-86. doi:10.1016/j.ejca.2014.08.010. https://pubmed.ncbi.nlm.nih.gov/25212499/