Transcription factor p63 originates from p53 protein family and is encoded by TP63 gene. TP63 gene contains two different promoters encoding two proteins, TAp63 and ΔNp63, which can be cleaved to produce p63α, p63β, p63δ and some other subtypes. ΔNp63α is one of the promoters of TP63 gene and acts as a core regulatory factor to regulate gene expression at epigenetic and transcriptional levels. Recent research shows that ΔNp63α abnormal expression can lead to the occurrence of various malignant tumors and reduce the sensitivity of malignant tumors to radiotherapy and chemotherapy. Therefore, ΔNp63α can be used as a diagnostic marker and therapeutic target for malignant tumors. This article reviews the latest research progress of ΔNp63α in the mechanism and drug resistance in malignant tumors.
MicroRNA-92a (miR-92a) is an evolutionarily highly conserved pathogenic microRNA that is a member of the microRNA-17-92 gene cluster and is involved in the regulation of biological activities such as cell proliferation, apoptosis and differentiation. Recent studies have revealed that disorders of miR-92a expression are associated with disease development and exert pathogenic effects mainly through the regulation of target genes or target proteins. The current research related to miR-92a is mainly focused on malignant tumors, and its high expression has been found to be associated with cancer cell malignancy and reduced sensitivity of tumors to radiotherapy. miR-92a targeting target genes or target proteins to cause disease and its relationship with radiotherapy has been a hot research topic in recent years. Based on this, This article reviews the latest research on miR-92a target gene or target protein pathogenesis and its impact on chemotherapy in order to provide targets for clinical disease treatment.
The correlation coefficient is a common used statistic index in the management science, sociology, psychology and nursing. The meta-analysis based on data of correlation coefficients has increased nowadays. The meta package and metafor package are the two major packages in R for performing meta-analysis and can implement many types of meta-analysis, including the meta-analysis of correlation coefficients. This article gives a brief introduction of the process to perform meta-analysis of correlation coefficients using these two packages, and compares their statistical results and functions (such as plot drawing).