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Combining measures of immune infiltration shows additive effect on survival prediction in high-grade serous ovarian carcinoma
- Source :
- British Journal of Cancer
- Publication Year :
- 2020
- Publisher :
- Springer Science and Business Media LLC, 2020.
-
Abstract
- Background In colorectal and breast cancer, the density and localisation of immune infiltrates provides strong prognostic information. We asked whether similar automated quantitation and combined analysis of immune infiltrates could refine prognostic information in high-grade serous ovarian carcinoma (HGSOC) and tested associations between patterns of immune response and genomic driver alterations. Methods Epithelium and stroma were semi-automatically segmented and the infiltration of CD45RO+, CD8+ and CD68+ cells was automatically quantified from images of 332 HGSOC patient tissue microarray cores. Results Epithelial CD8 [p = 0.027, hazard ratio (HR) = 0.83], stromal CD68 (p = 3 × 10−4, HR = 0.44) and stromal CD45RO (p = 7 × 10−4, HR = 0.76) were positively associated with survival and remained so when averaged across the tumour and stromal compartments. Using principal component analysis, we identified optimised multiparameter survival models combining information from all immune markers (p = 0.016, HR = 0.88). There was no significant association between PTEN expression, type of TP53 mutation or presence of BRCA1/BRCA2 mutations and immune infiltrate densities or principal components. Conclusions Combining measures of immune infiltration provided improved survival modelling and evidence for the multiple effects of different immune factors on survival. The presence of stromal CD68+ and CD45RO+ populations was associated with survival, underscoring the benefits evaluating stromal immune populations may bring for prognostic immunoscores in HGSOC.
- Subjects :
- Cancer Research
Stromal cell
692/4028/67/1517/1709
631/250/2503
03 medical and health sciences
0302 clinical medicine
Immune system
Breast cancer
Lymphocytes, Tumor-Infiltrating
Ovarian cancer
Ovarian carcinoma
Tumor Microenvironment
Medicine
PTEN
Humans
Survival analysis
030304 developmental biology
Ovarian Neoplasms
0303 health sciences
Tissue microarray
biology
business.industry
article
medicine.disease
Prognosis
Cystadenocarcinoma, Serous
Serous fluid
Oncology
030220 oncology & carcinogenesis
Cancer research
biology.protein
Imaging the immune system
Female
business
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- British Journal of Cancer
- Accession number :
- edsair.doi.dedup.....f25ee57404da295951cea376b6cef19c
- Full Text :
- https://doi.org/10.17863/cam.50217