| Literature DB >> 34367136 |
Min Wang1, Xiaoyang Zhai1, Ji Li1, Jingyuan Guan2, Shuhui Xu1, YuYing Li1, Hui Zhu1.
Abstract
Recently, the overall survival (OS) and progression-free survival (PFS) of patients with advanced cancer has been significantly improved due to the application of immune checkpoint inhibitors (ICIs). Low response rate and high occurrence of immune-related adverse events (irAEs) make urgently need for ideal predictive biomarkers to identity efficient population and guide treatment strategies. Cytokines are small soluble proteins with a wide range of biological activity that are secreted by activated immune cells or tumor cells and act as a bridge between innate immunity, infection, inflammation and cancer. Cytokines can be detected in peripheral blood and suitable for dynamic detection. During the era of ICIs, many studies investigated the role of cytokines in prediction of the efficiency and toxicity of ICIs. Herein, we review the relevant studies on TNF-α, IFN-γ, IL-6, IL-8, TGF-β and other cytokines as biomarkers for predicting ICI-related reactions and adverse events, and explore the immunomodulatory mechanisms. Finally, the most important purpose of this review is to help identify predictors of ICI to screen patients who are most likely to benefit from immunotherapy.Entities:
Keywords: adverse events; cytokines; immune checkpoint inhibitors; predictive factors; response
Year: 2021 PMID: 34367136 PMCID: PMC8339552 DOI: 10.3389/fimmu.2021.670391
Source DB: PubMed Journal: Front Immunol ISSN: 1664-3224 Impact factor: 7.561
Clinical studies of the association of ICT response with cytokines.
| Cytokine | Authors | N= | Tumors | Immunotherapy | Results |
|---|---|---|---|---|---|
| TNF-α | Tanaka 2017 ( | 30 | M | nivolumab | decreased levels of TNF-α associate with better reactivity |
| Boutsikou 2018 ( | 26 | NSCLC | pembrolizumab/nivolumab | increased TNF-α levels was correlate with improved response and prolonged survival | |
| Ozawa 2019 ( | 10 | NSCLC | nivolumab/pembrolizumb | no relationship | |
| IFN-γ | Yamazaki 2017 ( | 37 | M | nivolumab | higher levels of IFN associate with improved response |
| Boutsikou 2018 ( | 26 | NCSLC | PD-1 | increased levels of IFN-γ correlate with improved response and prolonged survival | |
| Hirashima 2019 ( | 29 | NSCLC | PD-1/CTLA-4 | low baseline IFN-γ level (<10 IU/ml)and decreased IFN-γ level associate with progression disease | |
| McNamara 2016 ( | * | M | PD-1/PD-L1 | ability of IFN-γ production by peripheral blood lymphocyte correlate with survival | |
| Costantini 2018 ( | 43 | NSCLC | nivolumab | no correlation with baseline or variation IFN-γ levels | |
| IL-6 | Yamazaki 2017 ( | 35 | M | nivolumab | higher IL-6 levels associate with improved response |
| Hardy-Werbin 2019 ( | 84 | SCLC | ipilimumab+chemotheray | baseline IL-6 levels lower than cut-off(3.65pg/ml) associate with higher OS | |
| Laino 2020 ( | 1296 | M | nivolumab/ipilimumab | higher baseline IL-6 levels associate with shorter survival | |
| Ozawa 2019 ( | 10 | NSCLC | nivolumab/pembrolizumb | elevated IL-6 or CRP associate with higher response rate | |
| Tsukamoto 2018 ( | * | M | nivolumab | increased IL-6 levels associate with tumor progression | |
| IL-8 | Boutsikou 2018 ( | 26 | NSCLC | nivolumab/pembrolizumab | increased levels of IL-8 correlate with prolonged OS |
| Agullo-Ortuno 2020 ( | 27 | NSCLC | nivolumab | increased levels of IL-8 associate with poor OS | |
| Sanmamed 2017 ( | 29 | M | nivolumab/pembrolizumab | early increased IL-8 levels (2-4 weeks after anti-PD-1) associate with lower response rate | |
| Hardy-Werbin 2019 ( | 84 | SCLC | chemotherapy plus ipilimumab | high level of IL-8 (≥13.82pg/mL) correlate with worse OS | |
| Yuen 2020 ( | 1445 | UC, RCC | atezolizumab | high baseline levels of IL-8 correlate with poor efficiency | |
| Schalper 2020 ( | 1344 | NSCLC, RCC | Nivolumab/nivolumab plus ipilimumab | high baseline levels of IL-8 associate with poor efficiency, cut-off (23pg/mL) | |
| TGF-β | Feun 2019 ( | 24 | HCC | Pembrolizumab | TGF-β≥200pg/mL assign as a poor indicator of response |
| Mariathasan 2018 ( | * | MUC | atezolizumab | increased TGF-β ligand1 (TGF-β1) and TGF-β receptor2 (TGF-βR2) levels correlate with poor response |
TNF, tumor necrosis factor; IFN, interferon; IL, interleukin; TGF, transforming growth factor; M, melanoma; NSCLC, non-small cell lung cancer; UC, urothelial carcinoma; RCC, renal cell carcinoma; HCC, hepatocellular carcinoma; PD-1, programmed cell death protein 1; PD-L1, programmed cell death ligand 1; CTLA-4, cytotoxic T-lymphocyte antigen 4.
*mouse model.
Clinical studies of the association of ICT irAEs with cytokines.
| Cytokine | Authors | N= | Tumors | Immunotherapy | Results |
|---|---|---|---|---|---|
| IL-6 | Tanaka 2017 ( | 30 | M | Nivolumab | increased levels of IL-6 associate with psoriasiform dermatitis |
| Okiyama 2017 ( | 20 | M | Nivolumab/Pembrolizumab | increased levels of IL-6 associate with psoriasiform dermatitis | |
| Ozawa 2019 ( | 10 | NSCLC | Ipilimumab | increased IL-6 level correlate with SAE rate | |
| Chaput 2017 ( | 26 | M | ipilimumab | low baseline IL-6, IL-8, and sCD25 associate with colitis | |
| Valpione 2018 ( | 140 | M | ipilimumab | low baseline IL-6 level act as independent predicted factor |
IL, interleukin; M, melanoma; NSCLC, non-small cell lung cancer.
Figure 1Potential mechanisms of IFN-γ predicting the prognosis of ICIs. The production of IFN-γ induces the increase of chemokine CXCL9 and CXCL10, which recruits more tumor reactive T cells and increased the level of IFN-γ. IFN-γ released by T cells stimulates neighboring dendritic cells (DCs) to produce IL-12, which in turn promotes the production of IFN-γ and forms a positive feedback loop. IFN- γ induces LAG3 which mainly express on dysfunctional or depleted T cells and induce immunosuppression. The fragility of Treg driven by IFN-γ produced by intratumoral Nrp1-/- treg limits the activity of CD4+Treg cells.
Clinical studies of the association of ICT response with other cytokines.
| Authors | N= | Tumors | Immunotherapy | Cytokines |
|---|---|---|---|---|
| Boutsikou 2018 ( | 26 | NSCLC | nivolumab/pembrolizumab | IL-1β, IL-2, IL-4, IL-6, IL-8, IFN-γ, TNF-α |
| Lim 2019 ( | 147 | M | PD-1+CTLA-4 | IL-2, IL-8, TNF-α |
| Hardy-Werbin 2019 ( | 84 | SCLC | chemotherapy plus ipilimumab | IL-2, TNF-α, IL-8, IL-4 |
NSCLC, non-small-cell lung cancer; M, melanoma; SCLC, small-cell lung cancer; IL, interleukin; IFN, interferon; TNF, tumor necrosis factor; PD-1, programmed cell death protein 1; CTLA-4, cytotoxic T-lymphocyte antigen 4.
Clinical studies of the association of ICT irAEs with other cytokines.
| Authors | N= | Tumors | Immunotherapy | Cytokines |
|---|---|---|---|---|
| Tarhini 2015 ( | 147 | M | PD-1+CTLA-4 | CYTOX score(G-CSF,GM-CSF,Fractalkine,FGF-2,IFNα2, IL-12p70, IL-1a, IL-1β, IL-1RA, IL-2, IL-13) |
| Lim 2019 ( | 65 | no limit | PD-1/PD-L1/CTLA-4 | CXCL9, CXCL10, CXCL11, CXCL19 |
| Sun 2008 ( | 16 | bladder cancer | CTLA-4 | IL-10 |
M, melanoma; G-CSF, granulocyte colony-stimulating Factor; GM-CSF, granulocyte-macrophage colony-stimulating factor; FGF, fibroblast growth factor; IL, interleukin; CXCL, C-X-C motif chemokine ligand; PD-1, programmed cell death protein 1; PD-L1, programmed cell death ligand 1; CTLA-4, cytotoxic T-lymphocyte antigen 4.