A stemness-based signature with inspiring indications in discriminating the prognosis, immune response, and somatic mutation of endometrial cancer patients revealed by machine learning

Author:

Pang Xuecheng1,Wang Yu1,Zhang Qiang2,Qian Sumin1

Affiliation:

1. Gynecology Department 2, Cangzhou Central Hospital, Cangzhou, Hebei, China

2. Second Department of Anesthesia, Cangzhou Central Hospital, Cangzhou, Hebei, China

Publisher

Impact Journals, LLC

Reference49 articles.

1. Endometrial cancer.;Singh;Lancet,2022

2. Cancer statistics, 2018.;Jemal;CA Cancer J Clin,2018

3. Cancer Statistics, 2021.;Jemal;CA Cancer J Clin,2021

4. Comparative analysis of pre- and postmenopausal endometrial cancer in 216 patients.;Li;Transl Cancer Res,2023

5. Endometrial cancer.;Oaknin;Nat Rev Dis Primers,2021

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