Gene signature of mA RNA regulators in diagnosis, prognosis, treatment, and immune microenvironment for cervical cancer.

Continuing studies imply that mA RNA modification is involved in the development of cervical cancer (CC), but lack strong support on recurrence and diagnosis prediction. In this research, a comprehensive analysis of 33 mA regulators was performed to fulfill them. Here, we performed diagnostic and prognosis models and identified key regulators, respectively. Then the CC patients were separated into two clusters in accordance with 33 regulators, and participants in the cluster 1 had a worse prognosis. Subsequently, the mAScore was calculated to quantify the mA modification pattern based on regulators and we found that patients in cluster 1 had higher mAScore. Afterwards, immune microenvironment, cell infiltration, escape analyses and tumor burden mutation analyses were executed, and results showed that mAScore was correlated with them, but to a limited extent. Interestingly, HLAs and immune checkpoint expression, and immunophenoscore in patients with high-mAScores were significantly lower than those in the low-mAScore group. These suggested the mAScores might be used to predict the feasibility of immunotherapy in patients. Results provided a distinctive perspective on mA modification and theoretical basis for CC diagnosis, prognosis, clinical treatment strategies, and potential mechanism exploration.