ArticleCancer gene therapy2021
TAF1A and ZBTB41 serve as novel key genes in cervical cancer identified by integrated approaches.
Article in Cancer gene therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 16 citations in OpenAlex.
- Article
- Engineered romidepsin biosynthetic pathways in Escherichia coli Nissle 1917 improve the efficacy of bacteria-mediated cancer therapy.PLoS biology · 2026Article
- ALDH1A1 promotes immune escape of tumor cells through ZBTB7B-glycolysis pathway.Cell death & disease · 2024Article
- CRISPR-Cas9 screening develops an epigenetic and transcriptional gene signature for risk stratification and target prediction in neuroblastoma.Frontiers in cell and developmental biology · 2024Article
- MLLT11-TRIL complex promotes the progression of endometrial cancer through PI3K/AKT/mTOR signaling pathway.Cancer biology & therapy · 2022Article
- Systematical analysis reveals a strong cancer relevance of CREB1-regulated genes.Cancer cell international · 2021Article
- Integrated study of miR-215 promoting breast cancer cell apoptosis by targeting RAD54B.Journal of cellular and molecular medicine · 2021Article
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cervical cancer (CC) is the second most common cancer and the leading cause of cancer mortality in women. Numerous studies have found that the development of CC was associated with multiple genes. However, the mechanisms on gene level are enigmatic, hindering the understanding of its functional roles. This study sought to identify prognostic biomarkers of CC, and explore their biological functions. Here we conducted an integrated analysis to screen potential vital genes. Candidate genes were further tested by experiments in clinical specimens and cancer cell line. Then, molecular modeling was used to predict the three-dimensional structure of candidate genes' proteins, and the interaction pattern was analyzed by docking simulation technique. Among the potential genes identified, we found that TAF1A and ZBTB41 were highly correlated. Furthermore, there was a definite interaction between the proteins of TAF1A and ZBTB41, which was affected by the activity of the p53 signaling pathway. In conclusion, our findings identified TAF1A and ZBTB41 could serve as biomarkers of CC. We confirmed their biological function and deciphered their interaction for the first time, which may be helpful for developing further researches.
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