Work

60eP Machine learning-guided integration of transcriptomic data and immune cell fractions identifies immune-hot biomarkers in pMMR endometrial cancer

Year: 2025
Type: article
Abstract: Endometrial cancers with mismatch repair–deficient (dMMR) status exhibit immune-hot microenvironments, whereas mismatch repair–proficient (pMMR) tumors are typically considered “cold”. Subsets of pMMR tumors may display immune-active features. We aimed to explore immune heterogeneity within pMMR tumors, and to investigate candidate biomarkers associated with immune activity.
Authors: R.V. Matei, A.S. Gheorghe, E.A. Dumitrescu, A-A. Stolojanu, M. Ana, S.I. Prundianu, L.A. Kajanto, M. Maria, D.L. Stanculeanu
Language: English
Subfield: Oncology
Field: Medicine
Open Access status: gold
Estimated APC paid: $3,170
OpenAlex ID: W4416780679
FWCI: 0.409
Cites:
Cited by: 1
Related to: 10