Whole Genome Analysis and Prognostic Model Construction Based on Alternative Splicing Events in Endometrial Cancer.

Caixia WangMingjun ZhengShuang WangXin NieQian GuoLingling GaoXiao LiYue QiJuanjuan LiuBei Lin

Published in: BioMed research international (2019)

We constructed a model for predicting the prognosis of EC patients based on PASEs using whole genome analysis of AS events and thereby provided a reliable theoretical basis for EC clinical prognosis evaluation.

Keyphrases

endometrial cancer
end stage renal disease
ejection fraction
newly diagnosed
chronic kidney disease
prognostic factors
peritoneal dialysis
clinical evaluation