Global Pattern of CD8+ T-Cell Infiltration and Exhaustion in Colorectal Cancer Predicts Cancer Immunotherapy Response

Background: The MSI/MSS status does not fully explain cancer immunotherapy response in colorectal cancer. Thus, we developed a colorectal cancer-specific method that predicts cancer immunotherapy response. Methods: We used gene expression data of 454 samples (MSI = 131, MSI-L = 23, MSS = 284, and Unknown = 16) and developed a TMEPRE method that models signatures of CD8+ T-cell infiltration and CD8(+) T-cell exhaustion states in the tumor microenvironment of colorectal cancer. TMEPRE model was validated on three RNAseq datasets of melanoma patients who received pembrolizumab or nivolumab and one RNAseq dataset of purified CD8(+) T cells in different exhaustion states. Results: TMEPRE showed predictive power in three datasets of anti-PD1-treated patients (p = 0.056, 0.115, 0.003). CD8(+) T-cell exhaustion component of TMEPRE model correlates with anti-PD1 responding progenitor exhausted CD8(+) T cells in both tumor and viral infection (p = 0.048, 0.001). The global pattern of TMEPRE on 454 colorectal cancer samples indicated that 10.6% of MSS patients and 67.2% of MSI patients show biological characteristics that can potentially benefit from anti-PD1 treatment. Within MSI nonresponders, approximately 50% showed insufficient tumor-infiltrating CD8(+) T cells and 50% showed terminal exhaustion of CD8(+) T cells. These terminally exhausted CD8(+) T cells coexisted with signatures of myeloid-derived suppressor cells in colorectal cancer. Conclusion: TMEPRE is a colorectal cancer-specific method. It captures characteristics of CD8(+) T-cell infiltration and CD8(+) T-cell exhaustion state and predicts cancer immunotherapy response. A subset of MSS patients could potentially benefit from anti-PD1 treatment. Anti-PD1 resistance MSI patients with insufficient infiltration of CD8(+) T cells or terminal exhaustion of CD8(+) T cells need different treatment strategies.

Automated summary

A colorectal cancer-specific method, TMEPRE, has been developed to predict cancer immunotherapy response by modeling characteristics of CD8(+) T-cell infiltration and exhaustion state. Research indicates that some MSS patients could potentially benefit from anti-PD1 treatment, whereas MSI patients with anti-PD1 resistance due to insufficient infiltration or terminal exhaustion of CD8(+) T cells may require different treatment strategies.