| Literature DB >> 35075482 |
Xiaoqiang Yin1,2, Tongchui Wu1,2, Yadong Lan1,2, Wulin Yang2,3.
Abstract
Hepatocellular carcinoma (HCC) is the most common primary liver cancer worldwide. The onset of the disease is occult and develops rapidly. As a result, the disease is often detected when it is already in advanced stages, resulting in patients losing the best opportunity for liver transplantation and surgical treatment. Therefore, effective treatment of HCC is particularly important in clinical practice. During the past decades, there have been considerable advances in the treatment of HCC, and immunotherapy is increasingly recognized as a promising approach in clinical trials. In this review, an overview of immune checkpoint (ICP) inhibitors (ICIs) and their role in the treatment of liver cancers, particularly advanced HCC, is presented and the recent therapeutic progress with treatment with different ICIs alone or in combination with other methods/therapeutic agents is summarized. In addition, the identification of biomarkers to predict treatment response and the limitations of current ICIs are analyzed, and future directions for ICI treatment are discussed.Entities:
Keywords: biomarkers; hepatocellular carcinoma; immune checkpoint inhibitor; immune response; immunotherapy
Mesh:
Substances:
Year: 2022 PMID: 35075482 PMCID: PMC8821949 DOI: 10.1042/BSR20212304
Source DB: PubMed Journal: Biosci Rep ISSN: 0144-8463 Impact factor: 3.840
Figure 1Schematic diagram of immunosuppressive cells (Treg and MDSCs), ICP ligands (PD-L1, CD80/CD86, B7, and galectin-3) interacting with their cognate receptors (PD-1, CTLA-4, TIM-3, LAG-3) to inhibit T-cell activation
Outcomes of clinical trials of ICIs in HCC
| Drug | Trial name | Phase |
| OS, months | PFS, months | ORR, % | DCR, % | irAER, % | References |
|---|---|---|---|---|---|---|---|---|---|
|
| |||||||||
| Nivolumab | CheckMate040 | I/II | 214 | 15.1 | 4 | 20 | 64 | 25 | [ |
| Nivolumab /sorafenib | CheckMate459 | III | 371/372 | 16.4/14.7 | 3.7/3.8 | 15/7 | 55/58 | 22/49 | [ |
| Nivolumab plus Ipilimumab | CheckMate 040 | I/II | 148 | 22.8 | 12.5/22.8 | 27/32 | [ | ||
| Pembrolizumab | Keynote224 | II | 104 | 12.9 | 4.9 | 17 | 62 | 15 | [ |
| Pembrolizumab |
| II | 29 | 13 | 4.5 | 32 | 46 | [ | |
| Pembrolizumab/placebo | Keynote240 | III | 278/135 | 13.9/10.6 | 3.0/2.8 | 16.9/4.4 | 62.2/53.3 | 18.6/7.5 | [ |
| Camrelizumab |
| II | 217 | 13.8 | 2.1 | 14.7 | 44.2 | 22 | [ |
|
| |||||||||
| Durvalumab |
| I/II- | 39 | 13.2 | 2.7 | 10.3 | 33 | 20 | [ |
| Durvalumab |
| I/II | 104 | 13.6 | 2.07 | 10.6 | 20.8 | [ | |
| Atezolizumab plus bevacizumab | III | 336 | 67.2 | 6.8 | 56.5 | [ | |||
| Atezolizumab plus Bevacizumab |
| Ib | 104 | 17.1 | 12.4 | [ | |||
| Avelumab |
| III | 396 | 11.4 | 10 | [ | |||
|
| |||||||||
| Tremelimumab |
| II | 20 | 8.2 | 6.5 | 17.6 | 76.4 | 45 | [ |
Abbreviations: irAER, incidence of grade 3 immune-related adverse event; ORR, objective response rate.
Outcomes of real-world studies of ICIs in HCC
| Drug |
| OS, months | PFS, months | ORR, % | DCR, % | References |
|---|---|---|---|---|---|---|
| Anti-PD-1 agent | 55 | 15 | 10 | 22 | 89 | [ |
| Nivolumab/pembrolizumab | 34/31 | 11.0 | 4.6 | 12/49 | [ | |
| Lenvatinib + PD-1 inhibitors | 65 | 14 | 8.0 | 41.5 | 72.3 | [ |
| Nivolumab | 33 | 6.2 | [ | |||
| HAIC + anti-PD-1 antibodies + TKIs | 27 | 10.6 | 63.0 | 92.6 | [ | |
| Sintilimab + TKI | 60 | 12.8 | 36.7 | 81.7 | [ |
Abbreviations: DCR, disease control rate; HAIC, hepatic artery infusion chemotherapy; ORR, objective response rate.
Biomarkers for ICI response reported in HCC
| Biomarker | Association with clinical outcome | References |
|---|---|---|
| TMB | Positive or negative | [ |
| MSI | Positive or unknown | [ |
| PD-L1 expression in tumor | Irrelevant or positive | [ |
| Soluble PD-L1 | Negative | [ |
| CD8+ T cells | Positive | [ |
| Treg cells | Negative | [ |
| WNT/β-catenin pathway activation | Negative | [ |
| Transcriptomic diversity | Negative | [ |
| NLR, PLR | Negative | [ |
|
| Positive | [ |
| Male sex | Positive | [ |
| Age (>60 or >65 years) | Positive | [ |
Biomarkers for HPD after ICI therapy
| Biomarker | Prognostic significance | References |
|---|---|---|
| Hemoglobin | Hemoglobin level, portal vein tumor thrombus (PVVT), and Child-Pugh score were significantly related to HPD | [ |
| NLR | The high NLR was significantly associated with HPD, as the NLR value increased, the risk of HPD increased gradually in HCC | [ |
| MDM2 | MDM2 cooperated with BIRC5 to promote the HPD phenomenon in patients with advanced HCC | [ |
| ctDNA | A high concentration of ctDNA was associated with a higher risk of HPD and poor PFS in NSCLC | [ |
| Chemoattractant protein 1 | Low serum monocyte chemoattractant protein was associated with HPD | [ |
| EGFR | Overexpression of EGFR lowered the response rates to ICI therapy | [ |
| BRCA2 | Enriched mutations in the DNA repair gene | [ |
| MMR | Deficiency of MMR predicted better prognosis in cancer | [ |
| Treg | Activation of Treg promoted hyperprogression of cancer | [ |
| T cells | Increased TPEX cell frequencies were associated with increased patient survival | [ |
| MDSCs | Low frequency of MDSCs suggested that patients were more likely to respond to ipilimumab treatment | [ |
| IFN-γ | IFN-γ-mediated inhibition of lung cancer by up-regulating the expression of PD-L1, leading to a favorable prognosis | [ |
Abbreviation: CRP, C-reactive protein.