Integrated analysis of single-cell RNA-seq and bulk RNA-seq reveals mediated expression patterns by distinct tumor microenvironment immune profiles in cervical cancer.

Few studies have analyzed the effect of () expression patterns on the tumor microenvironment (TME) during development of cervical cancer (CC). We elucidated the landscape and score of expression in CC using single-cell RNA sequencing (scRNA-seq) and RNA sequencing datasets. Further, we aimed the MMPscore to probe the infiltration of immune cells. Further, expression was measured by quantitative Real-Time Polymerase Chain Reaction (qRT-PCR). We found were cell-type specific expressed in diverse types of CC cells, regulating the relative pathways of CC progression. Two distinct expression patterns that associated infiltrated tumor microenvironment (TME) were identified. We discovered expression patterns can predict the stage of tumor, subtype, stromal activity in the TME, genetic variation, and patient outcome. Patients with high MMPscore benefited from significantly better treatment and clinical outcomes. These results indicate high MMPscore in diverse cell types may regulate immune response and improve the survival of patients with CC, which assist in developing more effective immunization strategies.