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. 2021 Sep 24;8:1195–1207. doi: 10.2147/JHC.S322289

Table 1.

Proposed Biomarkers in Recent Clinical Trials Using Immune Checkpoint Inhibitors for HCC

Trial Treatment Line of Treatment Number of Patients Assay Biomarker Outcome Ref.
KEYNOTE-224 (NCT02702414) Pembrolizumab Second line N=52 IHC Baseline PD-L1 expression* PD-L1 expression on tumor cells, lymphocytes and macrophages was associated with response. PD-L1 expression on tumor cells alone was not associated with response. [11]
CheckMate 040 (NCT01658878) Nivolumab and Ipilimumab Second line N=145 IHC Baseline tumor PD-L1 expression* No association between baseline tumor PD-L1 expression and treatment response. [15]
CheckMate 459 (NCT02576509) Nivolumab vs Sorafenib First line N=743 IHC Baseline tumor PD-L1 expression* Patients with PD-L1 ≥1% was found to be associated with longer median OS in those treated with Nivolumab vs Sorafenib. [16]
CheckMate 040 Nivolumab First or second line N=44 (Escalation phase), N=174 (Expansion phase) IHC Baseline tumor PD-L1 expression* No association between baseline tumor PD-L1 expression and treatment response. [10]
CheckMate 040 Nivolumab First or second line N=195 (PD-L1), N=178 (PD-1) IHC Baseline tumor PD-L1 and PD-1 expressions* Both were associated with improved OS.
PD-1, but not PD-L1, was associated with ORR.
[13]
N=189 (CD3),
N=192 (CD8)
IHC Baseline CD3+ or CD8+ TILs* CD3+ or CD8+ TILs exhibited a trend towards improved OS.
N=189 (CD4), N=190 (FOXP3) IHC Baseline CD4+ or FOXP3+ TILs* Not associated with OS.
N=135 IHC Baseline CD68+ or CD163+ macrophages* Not associated with OS.
N=37 RNA seq Baseline inflammatory signature of tumor tissue* Inflammatory signature consisting of CD274 (PD-L1), CD8A, LAG3, STAT1 was associated with both improved objective response rate and overall survival.
N=242 (NLR), N=243 (PLR) Flow cytometry Baseline Neutrophil to lymphocyte ratio (NLR) or platelet to lymphocyte ratio (PLR)* Lower NLR and PLR were found to be associated with PR and CR on nivolumab.
N=149 Serum AFP detection Baseline Serum AFP Low AFP (<400 µg/L) showed a numerical (although not statistically significant) association with response.
GO30140 (NCT02715531)
Imbrave150 (NCT03434379)
Atezolizumab and Bevacizumab First line N=58 (GO30140)
N=150 (Imbrave150)
Serum AFP detection Serum AFP ≥75% decrease or ≤10% increase in AFP levels at 6 weeks after the treatment was significantly associated with improved OS and PFS. [20]
GO300140 (NCT02715531) Atezolizumab and Bevacizumab First line N=73 WES TMB# Not associated with response or PFS. [18]
N=90 RNA seq PD-L1 gene expression* Associated with response and longer PFS.
N=90 RNA seq T-effector signature (GZM, PRF1, CXCL9)* Associated with response and longer PFS.
N=90 RNA seq Notch pathway (HES1) activation genes# Associated with lack of response and shorter PFS.
GO300140 (NCT02715531) Atezolizumab and Bevacizumab vs Atezolizumab alone First line N=91 RNS seq VEGFR2 expression^ Associated with longer PFS in patients treated with atezolizumab + bevacizumab than in those treated with atezolizumab alone. [18]
N=91 RNA seq Treg signature (CCR8, BATF, CTSC, TNFRSF4, FOXP3, TNFRSF18, IKZF2, and IL2RA)* Associated with longer PFS in patients treated with atezolizumab + bevacizumab than in those treated with atezolizumab alone.
N=91 RNA seq Myeloid inflammation signature (CXCL1, CXCL2, CXCL3, CXCL8, IL6, PTGS1)* Associated with longer PFS in patients treated with atezolizumab + bevacizumab than in those treated with atezolizumab alone.
N=91 RNA seq TREM1/MDSC signatures* Associated with longer PFS in patients treated with atezolizumab + bevacizumab than in those treated with atezolizumab alone.
NCT01853618 Tremelimumab in combination with radiofrequency ablation or chemoablation Adjuvant N=9 IHC Post-treatment CD3+ and CD8+ TILs* Responders had higher post-tremelimumab CD3+ and CD8+ TILs than non-responders. [24]
NCT02658019 Pembrolizumab Second line N=24 ELISA Baseline plasma IL‐1β, IL‐6, IL‐8, IL‐12, IL‐18, IFN‐γ, TGF‐β, IL‐10, CXCL9, CCL4, CCL5, PD‐L1, and PD‐L2* High baseline plasma TGF‐β levels (≥200 pg/mL) significantly correlated with poor treatment outcomes. [33]
NCT02407990, NCT04068519 Tislelizumab Second line N=41 NGS Angiogenesis^ (TEK, KDR, HGF, and EGR1), Immune exhaustion* (CD274, CTLA4, TIGIT, and CD96), cell-cycle (E2F7, FOXA1, and FANCD2) gene signatures Non-responders had elevated angiogenesis, immune exhaustion, and cell-cycle gene signature than responders. [14]
NCT01853618 Tremelimumab in combination with radiofrequency ablation or chemoablation Adjuvant N=34 Flow Cytometry Baseline CD4+PD1+ cells* The frequency of CD4+
PD1+ cells in PBMC were higher in responder than in non-responder.
[25]
N=19 (pre-treatment tissue), N=22 (post-treatment tissue) IHC Tumor CD3 and PD-1 expression* Responders had higher CD3 and PD-1 expression in post-treatment tumor tissues. No statistically significant difference in pre-treatment tumor tissues.
N=19 (pre-treatment tissue), N=22 (post-treatment tissue) IHC Tumor CD8 and CD68 expression* No statistically significant difference between responder and non-responders in pre- and post-treatment tumor tissues.
N=26 TCR seq T-cell repertoire* Responders had high TIL clonality compared to non-responders.

Notes: *Immune-related biomarkers. ^Angiogenesis-related biomarkers. #Genomic biomarkers.

Abbreviations: AFP, alpha feto protein; IHC, immunohistochemistry; NGS, next generation sequencing; NLR, neutrophil-to-lymphocyte ratio; OS, overall survival; PLR, platelet-to-lymphocyte ratio; RNA seq, RNA sequencing; TCR, T cell receptor; TGFβ, transforming growth factor β; TILs, tumor infiltrating lymphocytes; TMB, tumor mutational burden; WES, whole exome sequencing.