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.

宫颈癌 (CC) 是第二常见的癌症，也是女性癌症死亡的主要原因。许多研究发现，CC的发展与多个基因有关。然而，基因水平的机制是神秘的，阻碍了对其功能作用的理解。本研究旨在确定 CC 的预后生物标志物，并探索它们的生物学功能。在这里，我们进行了综合分析以筛选潜在的重要基因。通过临床标本和癌细胞系的实验进一步测试候选基因。然后，利用分子模型预测候选基因蛋白质的三维结构，并通过对接模拟技术分析相互作用模式。在确定的潜在基因中，我们发现 TAF1A 和 ZBTB41 高度相关。此外，TAF1A蛋白与ZBTB41蛋白之间存在明确的相互作用，受p53信号通路活性的影响。总之，我们的研究结果确定 TAF1A 和 ZBTB41 可以作为 CC 的生物标志物。我们首次确认了它们的生物学功能并破译了它们的相互作用，这可能有助于开展进一步的研究。