IMT-2021-0052 Supplementary Data - Supplementary Material: Immune cells and signatures characterize tumor microenvironment and predict outcome in ovarian and endometrial cancers
Supplemental Table 1. Genes used for immune cell abundance calculation with MCP.
Supplemental Table 2. Genes included for TGF-b gene signature and 18-gene IFN-γ immune signature.
Supplemental Table 3. Cut-off values selected for Kaplan-Meier curve.
* For IFN-γ and TGF-β signature score, quantile normalization was first applied and followed by log10 transformation, and signature scores were calculated by averaging of the included genes for the IFN-γ (18-gene) and TGF-β (6-gene) signatures. Both scores for each single sample were then scaled and 0-centered.
Aims: We investigated immunogenomic signatures with survival in ovarian and endometrial cancers (OC/EC).
Patients & Methods/Materials: We used whole transcriptome sequencing data from uterine serous cancer and TCGA data of OC 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 OS. Whereas CD47, neutrophils and endothelial cells predicted PFS. In multivariate analyses, TGF-β, CD47 and monocytic cells predicted survival in MSI-H EC whereas high IFN-γ trended toward improved survival in the MSS-EC. High IFN-γ/low TGF-β and high IFN-γ/low CD47 signatures predicted longer OS. Low TGF-β/low CD47 signature predicted longer OS only in the MSI-H EC.