Open AccessImmune cells and signatures characterize tumor microenvironment and predict outcome in ovarian and endometrial cancers
Author(s) -
Ying Ni,
Ahmed Soliman,
Amy JoehlinPrice,
Fadi W. AbdulKarim,
Peter G. Rose,
Haider Mahdi
Publication year - 2021
Publication title -
immunotherapy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.127
H-Index - 48
eISSN - 1750-7448
pISSN - 1750-743X
DOI - 10.2217/imt-2021-0052
Subject(s) - immune system , biology , ovarian cancer , tumor microenvironment , cancer research , survival analysis , endometrial cancer , foxp3 , serous fluid , immunology , medicine , oncology , cancer
Aims: We investigated immunogenomic signatures and correlated them with survival in ovarian cancer (OV) and endometrial cancer (EC). Materials & method: We used whole transcriptome sequencing data from uterine serous cancer and The Cancer Genome Atlas data of OV and EC (n = 719). Gene expression score was calculated. Population abundance of immune cells were estimated. Results: TGF-β, myeloid cells, IFN-γ, T cells, B cells and endothelial cells predicted overall survival. Whereas CD47, neutrophils and endothelial cells predicted progression-free survival. In multivariate analyses, TGF-β, CD47 and monocytic cells predicted survival in high levels of microsatellite instability (MSI-H) EC whereas high IFN-γ trended toward improved survival in the MSI-S EC. High IFN-γ/low TGF-β and high IFN-γ/low CD47 signatures predicted longer overall survival. Low TGF-β/low CD47 signature predicted longer overall survival only in the MSI-H EC. Conclusion: Our data support the role of immune markers in predicting survival in OV/EC.