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Updated: Jul 6, 2025

Integration of Bioinformatics Approaches and Experimental Validations to Understand the Role of Notch Signaling in Ovarian Cancer
Published on: January 12, 2020
MAD2L2, a key regulator in ovarian cancer and promoting tumor progression
Kejun Xu1, Xiaojiao Zheng1, Hongyan Shi1
1Gynaecology and Obstetrics Department, The First Affiliated Hospital of Ningbo University, Ningbo, 315000, People's Republic of China.
Abstract:
Ovarian cancer (OVCA), a prevalent gynecological malignancy, ranks as the fourth most common cancer among women. Mitotic Arrest Deficient 2 Like 2 (MAD2L2), a chromatin-binding protein and a component of DNA polymerase ζ, has been previously identified as an inhibitor of tumor growth in colorectal cancer. However, the roles of MAD2L2 in OVCA, including its expression, impact, and prognostic significance, remain unclear. We employed bioinformatics tools, Cox Regression analysis, and in vitro cell experiments to investigate its biological functions. Our findings reveal that MAD2L2 typically undergoes genomic alterations, such as amplifications and deep deletions. Moreover, we observed an overexpression of MAD2L2 mRNA in OVCA patients, correlating with reduced survival rates, particularly in those with Grade IV tumors. Furthermore, analysis of mRNA biofunctions indicated that MAD2L2 is predominantly localized in the organellar ribosome, engaging mainly in NADH dehydrogenase activity. This was deduced from the results of gene ontology enrichment analysis, which also identified its role as a structural constituent in mitochondrial translation elongation. These findings were corroborated by KEGG pathway analysis, further revealing MAD2L2's involvement in tumor metabolism and the cell death process. Notably, MAD2L2 protein expression showed significant associations with various immune cells, including CD4+T cells, CD8+T cells, B cells, natural killer cells, and Myeloid dendritic cells. Additionally, elevated levels of MAD2L2 were found to enhance cell proliferation and migration in OVCA cells. The upregulation of MAD2L2 also appears to inhibit the ferroptosis process, coinciding with increased mTOR signaling activity in these cells. Our study identifies MAD2L2 as a novel regulator in ovarian tumor progression and offers new insights for treating OVCA.
Insights
Mitotic Arrest Deficient 2 Like 2 (MAD2L2) overexpression in ovarian cancer correlates with poor survival and promotes tumor progression by affecting cell metabolism and immune responses, offering new therapeutic targets.
Area of Science:
- Gynecological Oncology
- Molecular Biology
- Bioinformatics
Background:
- Ovarian cancer (OVCA) is a leading cause of cancer death in women.
- The role of Mitotic Arrest Deficient 2 Like 2 (MAD2L2) in OVCA is not well understood, despite its known tumor-inhibitory function in other cancers.
Purpose of the Study:
- To investigate the expression, biological functions, and prognostic significance of MAD2L2 in ovarian cancer.
- To explore MAD2L2's impact on OVCA cell proliferation, migration, metabolism, and immune cell interactions.
Main Methods:
- Bioinformatics analysis of genomic alterations and mRNA expression.
- Cox Regression analysis for prognostic significance.
- In vitro cell experiments to assess functional roles.
- Gene Ontology and KEGG pathway analyses for functional enrichment.
Main Results:
- MAD2L2 exhibits genomic alterations (amplifications, deletions) and is overexpressed in OVCA, associated with reduced survival, especially in Grade IV tumors.
- MAD2L2 is involved in organellar ribosome localization, NADH dehydrogenase activity, mitochondrial translation, tumor metabolism, and cell death.
- MAD2L2 expression correlates with immune cell infiltration and promotes OVCA cell proliferation and migration while inhibiting ferroptosis via mTOR signaling.
Conclusions:
- MAD2L2 is a novel regulator of ovarian tumor progression.
- Its overexpression impacts OVCA cell behavior, metabolism, and immune microenvironment.
- MAD2L2 presents a potential therapeutic target for ovarian cancer treatment.
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