| Literature DB >> 34104224 |
Anastasios Gkountakos1, Pietro Delfino2, Rita T Lawlor3, Aldo Scarpa3, Vincenzo Corbo3, Emilio Bria4.
Abstract
The introduction of immune checkpoint inhibitor (ICI)-based therapy for non-oncogene addicted non-small cell lung cancer (NSCLC) has significantly transformed the treatment landscape of the disease. Inhibitors of the programmed cell death protein 1/programmed death-ligand 1 (PD-1/PD-L1) immune checkpoint axis, which were initially considered as a late-line treatment option, gradually became the standard of care as first-line treatment for subgroups of NSCLC patients. However, a significant fraction of patients either fails to respond or progresses after a partial response to ICI treatment. Thus, the identification of mechanisms responsible for innate and acquired resistance to immunotherapy within a rapidly evolving tumor microenvironment (TME) is urgently required, as is the identification of reliable predictive biomarkers beyond PD-L1 expression. The deregulation of the epigenome is a key driver of cancer initiation and progression, and it has also been shown to drive therapeutic resistance. Tumor education of infiltrating myeloid cells towards an immuno-suppressive phenotype as well as induction of T-cell dysfunction in the TME is also driven by epigenome reprogramming. As it stands and, given their dynamic nature, epigenetic changes in cancer and non-cancer cells represent an attractive target to increase immunotherapy activity in NSCLC. Accordingly, clinical trials of combinatorial immuno-epigenetic drug regimens have been associated with tumor response in previously immunotherapy-resistant NSCLC patients irrespective of their PD-L1 status. Moreover, epigenetic signatures might represent valuable theragnostic biomarkers as they can be assayed easily in liquid biopsy and provide multiple layers of information. In this review, we discuss the current knowledge regarding the dysregulated epigenetic mechanisms contributing to immunotherapy resistance in NSCLC. Although the clinical data are still maturing, we highlight the attractive perspective that the synergistic model of immuno-epigenetic strategies might overcome the current limitations of immunotherapy alone and will be translated into durable clinical benefit for a broader NSCLC population.Entities:
Keywords: anti-PD-1; combination immunotherapy; epigenetics; immunotherapy; non-small cell lung cancer (NSCLC)
Year: 2021 PMID: 34104224 PMCID: PMC8161860 DOI: 10.1177/17588359211006947
Source DB: PubMed Journal: Ther Adv Med Oncol ISSN: 1758-8340 Impact factor: 8.168
Figure 1.Fates of CD8+ T-cells upon recognition of tumor antigen. The priming phase of tumor-specific T-cells requires antigen presentation by professional APCs such as activated dendritic cells to the naive T-cells. This procedure takes place in lymph nodes and requires two activation signals. First, the TCR of the CD8+ T-cells binds to the antigen captured in MHCI on the surface of APCs (signal I). Second, B7 ligands located on APCs interact with the CD28 receptor on CD8+ T-cells (signal II). After activation, CD8+ T-cells head to the TME to act against tumor cells. Left panel: CD8+ T-cells recognize tumor antigens and release chemokines and small molecules such as perforin/granzyme resulting in tumor elimination. Right panel: tumor cells express T-cell exhaustion-inducing ligands (PD-L1 and CD80/CD86), which interact with their receptors on the surface of T-cells (PD-1 and CTLA-4) and allow tumor cells to escape immune surveillance.
APC, antigen-presenting cell; CTLA-4, cytotoxic T-lymphocyte-associated protein 4; MHCI, major histocompatibility complex class I; PD-1, programmed cell death protein 1; PD-L1, programmed death-ligand 1; TCR, T-cell receptor; TME, tumor microenvironment.
Possible determinants of immunotherapy responses in NSCLC patients.
| Candidate biomarker | Type of biomarker | Expression/presence | Material origin | Correlation | Reference |
|---|---|---|---|---|---|
| 7 miRNA-based signature | Prognostic | 6 upregulated miRNAs/1 downregulated miRNA | Serum | OS >6 months after nivolumab treatment | Halvorsen |
| MSC (24 miRNAs) | Prognostic | High/intermediate/low-risk MSC | Plasma | High-risk MSC and worse prognosis after ICI treatment | Boeri |
| miRNA-320b miRNA-320c miRNA-320d | Predictive | High expression | Plasma | Poor response to PD-1 blockade/disease progression | Peng |
| miRNA-320b miRNA-375 | Predictive | Downregulated before nivolumab initiation | Plasma | Clinical benefit | Costantini |
| miRNA-33a | Prognostic | High | Tissue | Downregulation of immune checkpoint molecules | Boldrini |
| miRNA-140 | − | Downregulated | Tissue | Higher tumor size and PD-L1 upregulation | Xie |
| Methylation status (CpG sites) | Predictive | High | Tissue | High TMB | Cai |
| EPIMMUNE signature/Unmethylated | Prognostic | Presence | Tissue | Response to anti-PD-1 Abs/Tumor-infiltrating immune cells | Duruisseaux |
| Methylation status | - | Low | Tissue | Higher expression of | Marwitz |
| - | CC genotype in rs822335/presence | Tissue | Higher expression of PD-L1 | Krawczyk |
ICI, immune checkpoint inhibitor; miRNA, microRNA; MSC, miRNA-signature classifier; NSCLC, non-small cell lung cancer; OS, overall survival; PD-1, programmed cell death protein 1; PD-L1, programmed death-ligand 1; TMB, tumor mutational burden.
Figure 2.Immuno-epigenetic drug combinations reverse immunologically “cold” tumors into “hot” ones. Left panel: an immunologically “cold” tumor is characterized by poor infiltration of tumor-specific T-cells, professional APCs and NK cells. Moreover, the strong immunosuppresive TME is reinforced by the abundance of Tregs as well as low expression of tumor antigens and PD-L1 by tumor cells, eventually inducing resistance to immunotherapy. Right panel: combination of ICIs with epigenetic modulating agents such as DNMT inhibitors (decitabine, azacytidine) and HDAC inhibitors (vorinostat, entinostat, mocetinostat) might increase the expression of tumor antigens, induce reprogramming of immune cells in TME and restore the expression of PD-L1 by tumor cells rendering tumor more susceptible to ICIs, resulting in the formation of a more inflamed tumor infiltrated by tumor-fighting immune cells.
APC, antigen-presenting cell; CTLA-4, cytotoxic T-lymphocyte-associated protein 4; DNMT, DNA methyl tranferase; HDAC, histone deacetylase; ICIs, immune-checkpoint inhibitors; NK, natural killer; PD-1, programmed cell death protein 1; PD-L1, programmed death-ligand 1; TME, tumor microenvironment; Tregs, T regulatory cells.
Completed or ongoing clinical trials.
| Study status | Eligible patients | Regimen | Conclusions | Safety profile | Reference | |
|---|---|---|---|---|---|---|
| NCT02546986 | Phase II | Chemotherapy-pretreated aNSCLC | Pembrolizumab + CC-486 | No difference in PFS between arms | GI-related adverse events | Levy |
| NCT02638090 | Phase I/Ib | Chemotherapy-pretreated - ICI- pretreated/naïve aNSCLC | Pembrolizumab + Vorinostat | PR in 3/24 ICI-pretreated patients | 50% patients required adjustment of vorinostat dosing | Gray |
| NCT02437136 | Phase II (ENCORE-601) | Chemotherapy and ICI-pretreated aNSCLC | Pembrolizumab + entinostat | 6/57 PR | Well tolerated | Hellmann |
| NCT02805660 | Phase I/II | ICI-pretreated NSCLC | Durvalumab + Mocetinostat | Completed | NR | − |
| NCT03233724 | Phase I/II | Pretreated aNSCLC | DAC-THU + Pembrolizumab | Recruiting | NR | − |
| NCT01928576 | Phase II | Pretreated aNSCLC | Azacytidine + Entinostat, | Recruiting | NR | − |
| NCT02635061 | Phase Ib | Pretreated unresectable NSCLC | Nivolumab + ACY 241 | Active | NR | − |
DAC, decitabine; GI, gastrointestinal; ICI, immune checkpoint inhibitor; aNSCLC, advanced non-small cell lung cancer; OS, overall survival; NR, not reported; PFS, progression-free survival; THU, tetrahydrouridine.