Abstract:Liver cancer is a leading source of cancer-related mortality in the world. A number of studies have shown the correlation of metformin treatment with a decrease in cancer risk. However, the relevant molecules and mechanisms are not clear during the treatment. In this study, our aim is to identify the significant molecules and signaling pathways in the treatment of metformin in liver cancer cells by analyzing the RNA sequence. The GSE190076 dataset was created by performing the Illumina NovaSeq 6000 (Homo sapi… Show more
“…ZWINT is a crucial constituent of the mitotic spindle checkpoint, which plays a pivotal role in ensuring accurate chromosome segregation during cell division and maintaining genomic stability. [14,15] Recent studies have shown that ZWINT may be involved in the pathogenesis of tumour development and is overexpressed in a variety of malignancies including colon, breast, liver, lung and pancreatic cancers [8,[16][17][18][19][20][21] .However, the regulation of ZWINT in ovarian cancer and its molecular mechanism have not been reported yet. The results of this study showed that ZWINT was significantly highly expressed in ovarian cancer tissues, the higher the expression level of ZWINT, the worse the overall survival and disease-free survival of the patients, which indicates that ZWINT is closely related to the development of ovarian cancer.…”
Objective: To investigate the expression level of ZWINT in ovarian cancer and its impact on the proliferation, migration and invasion of ovarian cancer cells.
Methods: The differentially expressed genes in ovarian cancer tissues were identified from both the TCGA and GEO databases, followed by an analysis of their expression levels and investigation into their impact on patients' survival and prognosis; two ovarian cell models were established to interfere with gene expression, and the expression and interference effects were evaluated by RT-PCR and Western blot; cell proliferation was detected by plate cloning and Edu assay.
Result: ZWINT was identified as a differentially expressed gene in ovarian cancer through database analysis, and further comparison of gene expression profiles revealed its high expression levels in this malignancy; Kaplan-Meier analysis revealed a correlation between higher expression of ZWINT and worse survival prognosis in patients. The success of interfering with the ZWINT cell line was verified through RT-PCR and Western blot experiments. Plate cloning assay demonstrated a significant reduction in the number of cell colonies after ZWINT interference, while Edu assay indicated a decrease in the percentage of Edu-positive cells. Transwell assay suggested that cell migration and invasion were also affected by ZWINT interference.
Conclusion: ZWINT was highly expressed in ovarian cancer tissues, and could promote the proliferation, migration and invasion of cancer cells.
“…ZWINT is a crucial constituent of the mitotic spindle checkpoint, which plays a pivotal role in ensuring accurate chromosome segregation during cell division and maintaining genomic stability. [14,15] Recent studies have shown that ZWINT may be involved in the pathogenesis of tumour development and is overexpressed in a variety of malignancies including colon, breast, liver, lung and pancreatic cancers [8,[16][17][18][19][20][21] .However, the regulation of ZWINT in ovarian cancer and its molecular mechanism have not been reported yet. The results of this study showed that ZWINT was significantly highly expressed in ovarian cancer tissues, the higher the expression level of ZWINT, the worse the overall survival and disease-free survival of the patients, which indicates that ZWINT is closely related to the development of ovarian cancer.…”
Objective: To investigate the expression level of ZWINT in ovarian cancer and its impact on the proliferation, migration and invasion of ovarian cancer cells.
Methods: The differentially expressed genes in ovarian cancer tissues were identified from both the TCGA and GEO databases, followed by an analysis of their expression levels and investigation into their impact on patients' survival and prognosis; two ovarian cell models were established to interfere with gene expression, and the expression and interference effects were evaluated by RT-PCR and Western blot; cell proliferation was detected by plate cloning and Edu assay.
Result: ZWINT was identified as a differentially expressed gene in ovarian cancer through database analysis, and further comparison of gene expression profiles revealed its high expression levels in this malignancy; Kaplan-Meier analysis revealed a correlation between higher expression of ZWINT and worse survival prognosis in patients. The success of interfering with the ZWINT cell line was verified through RT-PCR and Western blot experiments. Plate cloning assay demonstrated a significant reduction in the number of cell colonies after ZWINT interference, while Edu assay indicated a decrease in the percentage of Edu-positive cells. Transwell assay suggested that cell migration and invasion were also affected by ZWINT interference.
Conclusion: ZWINT was highly expressed in ovarian cancer tissues, and could promote the proliferation, migration and invasion of cancer cells.
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