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IMT-2021-0052 Supplementary Data - Supplementary Material: Immune cells and signatures characterize tumor microenvironment and predict outcome in ovarian and endometrial cancers

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posted on 23.08.2021, 13:35 by Figshare Future Science GroupFigshare Future Science Group, Ying NieYing Nie, Ahmed SolimanAhmed Soliman, Amy Joehlin-Price, Fadi Abdul-Karim, Peter G. Rose, Haider Mahdi

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.

Conclusion: Our data support the role of immune markers in predicting survival in OC/EC.