Immune cells and signatures characterize tumor microenvironment and predict outcome in ovarian and endometrial cancers.
Ying NiAhmed SolimanAmy Joehlin-PriceFadi Abdul-KarimPeter G RoseHaider MahdiPublished in: Immunotherapy (2021)
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.
Keyphrases
- free survival
- gene expression
- endothelial cells
- endometrial cancer
- immune response
- genome wide
- dendritic cells
- transforming growth factor
- dna methylation
- single cell
- squamous cell carcinoma
- acute myeloid leukemia
- high grade
- data analysis
- high resolution
- epithelial mesenchymal transition
- signaling pathway
- vascular endothelial growth factor
- single molecule
- high speed
- high throughput sequencing