Fig. 1.

Flowchart for profiling the prognostic alternative splicing signature of CESC. Alternative splicing data were downloaded from the TCGASpliceSeq database. We identified survival-associated AS events in CESC and further identified a signature consisting of nine prognostic AS events. Then, we constructed a splicing regulatory network between prognostic splicing factors and AS events in the CESC cohort. Next, we built a predictive nomogram. Finally, we divided cervical cancer patients into three molecular subtypes based on nine alternative splicing events