Genes · 2019 · 30 citations · 41 references
The results indicated that the total abundance of TILs was higher in non-tumor tissue regardless of the HCC type. Alternatively, the specific TILs associated with overall survival (OS) and recurrence-free survival (RFS) varied between subtypes. For example, in HBV-HCC, plasma cells (hazard ratio [HR] = 1.05; 95% CI 1.00-1.10; <i>p</i> = 0.034) and activated dendritic cells (HR = 1.08; 95% CI 1.01-1.17; <i>p</i> = 0.03) were significantly associated with OS, whereas in HCV-HCC, monocytes (HR = 1.21) were significantly associated with OS. Furthermore, for RFS, CD8+ T cells (HR = 0.98) and M0 macrophages (HR = 1.02) were potential biomarkers in HBV-HCC, whereas neutrophils (HR = 1.01) were an independent predictor in HCV-HCC. Lastly, in both HBV-HCC and HCV-HCC, CD8+ T cells (HR = 0.97) and activated dendritic cells (HR = 1.09) had a significant association with OS, while γ delta T cells (HR = 1.04), monocytes (HR = 1.05), M0 macrophages (HR = 1.04), M1 macrophages (HR = 1.02), and activated dendritic cells (HR = 1.15) were highly associated with RFS. <b>Conclusions:</b> These findings demonstrated that TILs are potential survival predictors in HCC and different kinds of TILs are observed according to the virus type. Therefore, further investigations are warranted to elucidate the role of TILs in HCC, which may improve immunotherapy outcomes.
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Robust enumeration of cell subsets from tissue expression profiles
Aaron M. Newman, Chih Long Liu, Michael R. Green et al. · Nature Methods · 2015 · 13.6K citations · Full text
Inferring tumour purity and stromal and immune cell admixture from expression data
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Lymphoid Neoplasia, Breast Oncology, Cancer Immunosurveillance +9