| Literature DB >> 32380703 |
Xianda Zhao1, Dechen Wangmo1, Matthew Robertson1, Subbaya Subramanian1,2,3.
Abstract
Immune checkpoint blockade therapy (ICBT) has revolutionized the treatment and management of numerous cancers, yet a substantial proportion of patients who initially respond to ICBT subsequently develop resistance. Comprehensive genomic analysis of samples from recent clinical trials and pre-clinical investigation in mouse models of cancer provide insight into how tumors evade ICBT after an initial response to treatment. Here, we summarize our current knowledge on the development of acquired ICBT resistance, by examining the mechanisms related to tumor-intrinsic properties, T-cell function, and tumor-immune cell interactions. We discuss current and future management of ICBT resistance, and consider crucial questions remaining in this field of acquired resistance to immune checkpoint blockade therapies.Entities:
Keywords: CTLA-4; PD-1; T cells; acquired resistance; immune checkpoint blockade; immune response; tumor immunology
Year: 2020 PMID: 32380703 PMCID: PMC7280955 DOI: 10.3390/cancers12051161
Source DB: PubMed Journal: Cancers (Basel) ISSN: 2072-6694 Impact factor: 6.639
Figure 1Overview of major mechanisms causing acquired resistance to immune checkpoint blockade therapy. Response to immune checkpoint blockade therapy (ICBT) is tightly controlled. The current literature has revealed several potential mechanisms contributing to acquired ICBT resistance. Panel (A), upper left: selective elimination of tumor cells with immunogenic neoantigens; upper right: loss of neoantigens due to chromosomal region deletion; lower left: loss of neoantigens due to transcriptional silencing; lower right: dysfunction of antigen processing and presentation. Panel (B): alternative immune checkpoints expression induced by ICBT. Panel (C): the coupling of tumor cell pathways stimulated by ICBT, such as adenosine production and PTEN loss, with the function of T cells. Panel (D): the transformation of tumor histological types and tumor cell epithelial–mesenchymal transition (EMT) after ICBT treatment. Abbreviations: MHC: major histocompatibility complex; PD-1: programmed cell death protein 1; PD-L1: programmed death-ligand 1; CTLA-4: cytotoxic T-lymphocyte-associated protein 4; TIM-3: T-cell immunoglobulin and mucin-domain containing-3; LAG-3: lymphocyte-activation gene 3; TIGIT: T-cell immunoreceptor with Ig and ITIM domains; MDSC: myeloid-derived suppressive cell; Treg: regulatory T-cell; A2AR: adenosine A2A receptor; A2BR: adenosine 2b receptor.
Strategies under development for evaluation of immune checkpoint blockade therapy.
| Approaches | Mechanisms of Approach | Relevance to Anti-Tumor Immune Mechanisms | Reference |
|---|---|---|---|
| Radiographic imaging | Direct measurement of tumor burden | No | [ |
| Molecular imaging | Measurement of immune protein expression on whole tumor tissues | Yes | [ |
| Serum tumor biomarkers | Estimation of tumor burden by quantifying serum tumor antigens or genetic material | Marker-dependent | [ |
| Circulating tumor cells | Estimation of tumor burden by quantifying and featuring circulating tumor cells | Marker-dependent | [ |
| PD-L1 expression | Assessment of the proportion of PD-L1-positive tumor cells, immune cells, or both on tumor tissue sections | Yes | [ |
| Tumor-infiltrating lymphocyte | Assessment of T cells at invasive tumor margin or tumor parenchyma | Yes | [ |
| T-cell receptor sequencing | Assessment of T-cell clonality by sequencing of T-cell receptor β-chain | Yes | [ |
| Mutational and neoantigen burden | Exome sequencing to assess non-synonymous somatic mutations with antigenic prediction | Yes | [ |
| DNA mismatch repair genes status | Assessment of mismatch repair genes status in tumor parenchyma | Yes | [ |
| Immune gene signatures | Assessment of immune gene expression signature from the tumor microenvironment | Yes | [ |