TY - JOUR AU - Zhu, Cheng-cheng AU - Sun, Heng-liang AU - Long, Teng-fei AU - Lyu, Yuan-yuan AU - Liu, Jiang-li AU - Ni, Guan-tai TI - ZNF554 Inhibits Endometrial Cancer Progression via Regulating RBM5 and Inactivating WNT/β-Catenin Signaling Pathway JF - CURRENT MEDICAL SCIENCE J2 - CURR MED SCI VL - 44 PY - 2024 IS - 2 SP - 406 EP - 418 PG - 13 SN - 2096-5230 DO - 10.1007/s11596-024-2845-7 UR - https://m2.mtmt.hu/api/publication/34988497 ID - 34988497 LA - English DB - MTMT ER - TY - JOUR AU - Fan, S. AU - Liu, Y. AU - Lin, Z. AU - Zhang, Y. AU - Zhang, N. AU - Zhao, Y. AU - Zhou, J. AU - Mao, A. AU - Wang, L. AU - Feng, Y. AU - He, X. AU - Wang, L. AU - Pan, Q. TI - ZNF655 promotes the progression of hepatocellular carcinoma through PSMB8 JF - CELL BIOLOGY INTERNATIONAL J2 - CELL BIOL INT VL - 47 PY - 2023 IS - 9 SP - 1535 EP - 1546 PG - 12 SN - 1065-6995 DO - 10.1002/cbin.12050 UR - https://m2.mtmt.hu/api/publication/34024484 ID - 34024484 N1 - Department of Oncology, The First Affiliated Hospital of Hunan Normal University, Hunan Provincial People's Hospital, Key Laboratory of Study and Discovery of Small Targeted Molecules of Hunan Province, Hunan Normal University, Hunan, Changsha, China Department of Pathology, Hunan Provincial People's Hospital, Hunan, Changsha, China Department of Hepatic Surgery, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, China Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China Export Date: 19 June 2023 CODEN: CBIIE Correspondence Address: Wang, L.; Department of Hepatic Surgery, China; email: cms024mm@163.com Correspondence Address: Pan, Q.; Department of Hepatic Surgery, China; email: panqi20@163.com LA - English DB - MTMT ER - TY - JOUR AU - Guo, Y. AU - Huang, C. AU - Xu, C. AU - Qiu, L. AU - Yang, F. TI - Dysfunction of ZNF554 promotes ROS-induced apoptosis and autophagy in Fetal Growth Restriction via the p62-Keap1-Nrf2 pathway JF - PLACENTA J2 - PLACENTA VL - 143 PY - 2023 SP - 34 EP - 44 PG - 11 SN - 0143-4004 DO - 10.1016/j.placenta.2023.09.009 UR - https://m2.mtmt.hu/api/publication/34207144 ID - 34207144 N1 - Department of Fetal Medicine and Prenatal Diagnosis, Zhujiang Hospital, Southern Medical University, Guangzhou, 510280, China Obstetrics and Gynecology Center, Zhujiang Hospital, Southern Medical University, Guangzhou, 510280, China Export Date: 19 October 2023 CODEN: PLACD Correspondence Address: Yang, F.; Department of Fetal Medicine and Prenatal Diagnosis, China; email: fangfangy@hotmail.com LA - English DB - MTMT ER - TY - JOUR AU - Hong, Kunqiao AU - Yang, Qian AU - Yin, Haisen AU - Wei, Na AU - Wang, Wei AU - Yu, Baoping TI - Comprehensive analysis of ZNF family genes in prognosis, immunity, and treatment of esophageal cancer JF - BMC CANCER J2 - BMC CANCER VL - 23 PY - 2023 IS - 1 PG - 18 SN - 1471-2407 DO - 10.1186/s12885-023-10779-5 UR - https://m2.mtmt.hu/api/publication/33772189 ID - 33772189 N1 - Export Date: 19 June 2023 CODEN: BCMAC Correspondence Address: Yu, B.; Department of Gastroenterology, China; email: yubp62@163.com Correspondence Address: Wang, W.; Department of Gastroenterology, China; email: 50248@hbuas.edu.cn AB - BackgroundAs a common malignant tumor, esophageal carcinoma (ESCA) has a low early diagnosis rate and poor prognosis. This study aimed to construct the prognostic features composed of ZNF family genes to effectively predict the prognosis of ESCA patients.MethodsThe mRNA expression matrix and clinical data were downloaded from TCGA and GEO database. Using univariate Cox analysis, lasso regression and multivariate Cox analysis, we screened six prognosis-related ZNF family genes to construct the prognostic model. We then used Kaplan-Meier plot, time-dependent receiver operating characteristic (ROC), multivariable Cox regression analysis of clinical information, and nomogram to evaluate the prognostic value within and across sets, separately and combined. We also validated the prognostic value of the six-gene signature using GSE53624 dataset. The different immune status was observed in the single sample Gene Set Enrichment Analysis (ssGSEA). Finally, real-time quantitative PCR was used to detect the expression of six prognostic ZNF genes in twelve pairs of ESCA and adjacent normal tissues.ResultsA six prognosis-related ZNF family genes model consisted of ZNF91, ZNF586, ZNF502, ZNF865, ZNF106 and ZNF225 was identified. Multivariable Cox regression analysis revealed that six prognosis-related ZNF family genes were independent prognostic factors for overall survival of ESCA patients in TCGA and GSE53624. Further, a prognostic nomogram including the riskScore, age, gender, T, stage was constructed, and TCGA/GSE53624-based calibration plots indicated its excellent predictive performance. Drug Sensitivity and ssGSEA analysis showed that the six genes model was closely related to immune cells infiltration and could be used as a potential predictor of chemotherapy sensitivity.ConclusionWe identified six prognosis-related ZNF family genes model of ESCA, which provide evidence for individualized prevention and treatment. LA - English DB - MTMT ER - TY - JOUR AU - Shao, Z. AU - Li, C. AU - Wu, Q. AU - Zhang, X. AU - Dai, Y. AU - Li, S. AU - Liu, X. AU - Zheng, X. AU - Zhang, J. AU - Fan, H. TI - ZNF655 accelerates progression of pancreatic cancer by promoting the binding of E2F1 and CDK1 JF - ONCOGENESIS J2 - ONCOGENESIS VL - 11 PY - 2022 IS - 1 SN - 2157-9024 DO - 10.1038/s41389-022-00418-2 UR - https://m2.mtmt.hu/api/publication/33060460 ID - 33060460 N1 - Department of Hepatobiliary and Pancreatic Surgery, Changhai Hospital affiliated to Naval Medical University, Shanghai, China State Key Laboratory of Medicinal Chemical Biology & College of Pharmacy, Nankai University, Tianjin, China Department of Hepatobiliary and Pancreatospleenic Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100020, China Department of Hepatobiliary and Pancreatic Surgery, The Second Hospital of Hebei Medical University, Shijiazhuang, China Export Date: 22 August 2022 Correspondence Address: Fan, H.; Department of Hepatobiliary and Pancreatospleenic Surgery, China; email: fanhua@ccmu.edu.cn LA - English DB - MTMT ER - TY - JOUR AU - Bu, S. AU - Lv, Y. AU - Liu, Y. AU - Qiao, S. AU - Wang, H. TI - Zinc Finger Proteins in Neuro-Related Diseases Progression JF - FRONTIERS IN NEUROSCIENCE J2 - FRONT NEUROSCI-SWITZ VL - 15 PY - 2021 SN - 1662-4548 DO - 10.3389/fnins.2021.760567 UR - https://m2.mtmt.hu/api/publication/32627659 ID - 32627659 N1 - Department of Pharmacology, School of Medicine, Southeast University, Nanjing, China Department of Pharmacology, Center for Molecular Signaling (PZMS), School of Medicine, Saarland University, Homburg, Germany Export Date: 27 January 2022 Correspondence Address: Wang, H.; Department of Pharmacology, China; email: 101012573@seu.edu.cn Correspondence Address: Qiao, S.; Department of Pharmacology, Germany; email: Sen.Qiao@uks.eu AB - Zinc finger proteins (ZNF) are among the most abundant proteins in eukaryotic genomes. It contains several zinc finger domains that can selectively bind to certain DNA or RNA and associate with proteins, therefore, ZNF can regulate gene expression at the transcriptional and translational levels. In terms of neurological diseases, numerous studies have shown that many ZNF are associated with neurological diseases. The purpose of this review is to summarize the types and roles of ZNF in neuropsychiatric disorders. We will describe the structure and classification of ZNF, then focus on the pathophysiological role of ZNF in neuro-related diseases and summarize the mechanism of action of ZNF in neuro-related diseases. Copyright © 2021 Bu, Lv, Liu, Qiao and Wang. LA - English DB - MTMT ER -