Table 2.
Factors related to the efficacy of ICBs.
| Classification | Biomarkers | Influence |
|---|---|---|
| Clinical-relevant factors | Age | The elderly patients lack response to ICBs. |
| Gender | Male patients respond better to ICBs. | |
| Diet | Obesity and improved FA catabolism improve anti-PD therapy. | |
| Viral infection | MCV and EBV infected patients respond better to anti-PD therapy. | |
| Tumor autonomous mechanisms | Tumor mutational/neoantigen load | High mutational/neoantigen loads improve efficacy of ICBs |
| PD-L1 expression | High PD-L1 expression improves anti-PD therapy | |
| Tumor microenvironment | Cells | Increased TILs improve response to ICBs, while Tregs and MDSCs impair the efficacy. |
| Immunoregulatory pathways | Inhibition of TH1 chemokines, CD28/B7, IFN and activation of TGFβ, TIM3 lead to resistance to PD blockades. | |
| Host-related factors | Peripheral blood markers | Increased eosinophils, lymphocytes, monocytes and low LDH levels improve response to PD blockades. |
| MHC class I | Impaired MHC class I molecules lead to resistance to anti-PD therapy | |
| TCR repertoire | Less diverse T cell repertoire improves response to anti-PD | |
| The gut microbiota | Bacteroides species facilitate anti-CTLA, more diversified bacteria, such as Bifidobacterium, Akkermansia muciniphila, Ruminococcaceae bacteria, facilitate anti-PD. | |