scholarly journals Exploring Markers of Exhausted CD8 T Cells to Predict Response to Immune Checkpoint Inhibitor Therapy for Hepatocellular Carcinoma

Liver Cancer ◽  
2021 ◽  
pp. 1-14
Author(s):  
Chia-Lang Hsu ◽  
Da-Liang Ou ◽  
Li-Yuan Bai ◽  
Chia-Wei Chen ◽  
Li Lin ◽  
...  

<b><i>Background:</i></b> Reversal of CD8 T-cell exhaustion was considered a major antitumor mechanism of anti-programmed cell death-1 (PD-1)/ anti-programmed death ligand-1 (PD-L1)-based immune checkpoint inhibitor (ICI) therapy. <b><i>Objectives:</i></b> The aim of this study was to identify markers of T-cell exhaustion that is best associated with ICI treatment efficacy for advanced hepatocellular carcinoma (HCC). <b><i>Methods:</i></b> Immune cell composition of archival tumor samples was analyzed by transcriptomic analysis and multiplex immunofluorescence staining. <b><i>Results:</i></b> HCC patients with objective response after anti-PD-1/anti-PD-L1-based ICI therapy (<i>n</i> = 42) had higher expression of genes related to T-cell exhaustion. A 9-gene signature (LAG3, CD244, CCL5, CXCL9, CXCL13, MSR1, CSF3R, CYBB, and KLRK1) was defined, whose expression was higher in patients with response to ICI therapy, correlated with density of CD8<sup>+</sup>LAG3<sup>+</sup> cells in tumor microenvironment, and independently predicted better progression-free and overall survival. This 9-gene signature had similar predictive values for patients who received single-agent or combination ICI therapy and was not associated with prognosis in HCC patients who received surgery, suggesting that it may outperform other T-cell signatures for predicting efficacy of ICI therapy for HCC. For HCC patients who underwent surgery for both the primary liver and metastatic lung tumors (<i>n</i> = 31), lung metastatic HCC was associated with a higher exhausted CD8 T-cell signature, consistent with prior observation that patients with lung metastatic HCC may have higher probability of response to ICI therapy. <b><i>Conclusions:</i></b> CD8 T-cell exhaustion in tumor microenvironment may predict better efficacy of ICI therapy for HCC.

Author(s):  
Yu-Tzu Liu ◽  
Tai-Chung Tseng ◽  
Ruey-Shyang Soong ◽  
Chun-Yi Peng ◽  
Yu-Hsing Cheng ◽  
...  

2020 ◽  
Author(s):  
Song Yao ◽  
Ting-Yuan Cheng ◽  
Ahmed Elkhanany ◽  
Li Yan ◽  
Angela Omilian ◽  
...  

2019 ◽  
Vol 30 (1) ◽  
pp. 143-156.e5 ◽  
Author(s):  
Xingzhe Ma ◽  
Enguang Bi ◽  
Yong Lu ◽  
Pan Su ◽  
Chunjian Huang ◽  
...  

Oncotarget ◽  
2017 ◽  
Vol 8 (47) ◽  
pp. 82740-82753 ◽  
Author(s):  
Kim C. Ohaegbulam ◽  
Weifeng Liu ◽  
Hyungjun Jeon ◽  
Steven C. Almo ◽  
Xingxing Zang

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