| Literature DB >> 32752206 |
Jenny Sprooten1, Pieter De Wijngaert1, Isaure Vanmeerbeerk1, Shaun Martin2, Peter Vangheluwe2, Susan Schlenner3, Dmitri V Krysko4,5, Jan B Parys6, Geert Bultynck6, Peter Vandenabeele7,8,9, Abhishek D Garg1.
Abstract
Immune-checkpoint blockers (ICBs) have revolutionized oncology and firmly established the subfield of immuno-oncology. Despite this renaissance, a subset of cancer patients remain unresponsive to ICBs due to widespread immuno-resistance. To "break" cancer cell-driven immuno-resistance, researchers have long floated the idea of therapeutically facilitating the immunogenicity of cancer cells by disrupting tumor-associated immuno-tolerance via conventional anticancer therapies. It is well appreciated that anticancer therapies causing immunogenic or inflammatory cell death are best positioned to productively activate anticancer immunity. A large proportion of studies have emphasized the importance of immunogenic apoptosis (i.e., immunogenic cell death or ICD); yet, it has also emerged that necroptosis, a programmed necrotic cell death pathway, can also be immunogenic. Emergence of a proficient immune profile for necroptosis has important implications for cancer because resistance to apoptosis is one of the major hallmarks of tumors. Putative immunogenic or inflammatory characteristics driven by necroptosis can be of great impact in immuno-oncology. However, as is typical for a highly complex and multi-factorial disease like cancer, a clear cause versus consensus relationship on the immunobiology of necroptosis in cancer cells has been tough to establish. In this review, we discuss the various aspects of necroptosis immunobiology with specific focus on immuno-oncology and cancer immunotherapy.Entities:
Keywords: T cells; cytokines; damage-associated molecular patterns (DAMPs); danger signals; dendritic cells; immunogenic cell death; interferons; macrophages; patients; prognostic/predictive biomarkers
Mesh:
Year: 2020 PMID: 32752206 PMCID: PMC7464343 DOI: 10.3390/cells9081823
Source DB: PubMed Journal: Cells ISSN: 2073-4409 Impact factor: 6.600
Figure 1A genetic analysis of tumor-specific genetic “selection pressures” on apoptosis- and necroptosis-relevant genes. A Genomic Identification of Significant Targets in Cancer (GISTIC) analysis of DNA deletion based on the analysis of 3131 cancer samples from 54 cancer types using the Tumorscape (www.broadinstitute.org/tumourscape) database (accessed in May 2018). GISTIC scores (X-axis) and false-discovery rate or FDR (Y-axis; Q-values with 0.25 as cut-off for significance) for each alteration are plotted. GISTIC is an algorithm that strives to characterize putative cancer-driving somatic copy-number alterations (SCNAs) by analyzing the frequency as well as amplitude of the observed genetic events (e.g., deletions) [68]. Accordingly, GISTIC score (X-axis) provides a prediction of genetic deletion events under both loci-specific selection pressure as well as background genetic (random) deletion rates (which naturally tend to be very high in cancer). However, the Q-values (Y-axis) further allow the differentiation between the above two events, such that a significantly low Q-value signifies loci-specific selection pressures whereas a high Q-value signifies random genetic deletion events at the same rate as background genetic aberrations in cancer. For further details on this analysis’s methodology, we refer the reader to the publication by Mermel et al. [68]. Of note, whereas RIPK1 is indeed a necrosome-relevant gene, its functions are not exclusive to necroptosis since it can also play differential role in apoptosis or survival.
Figure 2Schematic overview of the mechanisms and cell fate decisions’ crosstalk underlying necroptosis induction. See the text for further details on the pathway. Calcium (Ca2+), cellular inhibitor of apoptosis protein 1/2 (cIAP1/2), cylindromatosis (CYLD), death receptor (DR), damage-associated molecular patterns (DAMPs), extracellular signal-regulated kinases (ERK), endosomal sorting complexes required for transport III (ESCRT-III), fas associated via death domain (FADD), FAS ligand (FASL), FLICE-like inhibitory protein (FLIPL), interferon receptor (IFNR), IκB kinase α/β (IKKα/β), c-Jun N-terminal kinase (JNK), linear ubiquitin chain assembly complex (LUBAC), mixed lineage kinase domain like pseudokinase (MLKL), NF-κB essential modulator (NEMO), nuclear factor kappa-light-chain-enhancer of activated B-cells (NF-κB), receptor-interacting serine/threonine-protein kinase 1/3 (RIPK1/3), TAK-1 binding protein 1/2 (TAB1/2), transforming growth factor-β-activated kinase 1/2 (TAK), t-cell receptor (TCR), toll-like receptor (TLR), tumor necrosis factor (TNF), tumor necrosis factor receptor 1 (TNFR1), TNF receptor type1-associated death domain (TRADD), TNF receptor associated factor 2/5 (TRAF2/5), TNF-related apoptosis-inducing ligand (TRAIL), toll/il-1 receptor domain-containing adaptor inducing interferon-β (TRIF), ubiquitinated (Ub).
Chemical or biological therapeutic agents capable of inducing necroptosis in cancer.
| Therapeutic Agent | Cancer Type | Pro-Necroptosis Roles | Refs. |
|---|---|---|---|
| AdipoRon | Human pancreatic cancer cells | Induces necroptosis through p38, MAPK and RIPK1 activation. | [ |
| Bromocriptine | Prolactinoma | Cell death induced by bromocriptine, which is a dopamine antagonist, relies on necroptosis | [ |
| BV6 + dexa | ALL (acute lymphoid leukaemia) | Cell death depends on RIPK3 and MLKL. | [ |
| BV6 and Bortezomib | B-cell non-Hodgkin Lymphoma | Induction of necroptosis, even if apoptosis is blocked. | [ |
| Ceramide nanoliposomes | Ovarian cancer cell xenograft model | Suppressed metastatic growth through inducing necroptosis | [ |
| Cisplatin | Oesophageal cancer | RIPK3 regulates cisplatin sensitivity and could predict chemosensitivity. | [ |
| Cisplatin | Lung cancer | Cisplatin induces both apoptosis and necroptotic-like cell death in lung cancer cells. | [ |
| Miconazole | Breast cancer cells | Inhibits the proliferation and induces apoptosis and necroptosis. | [ |
| Neoalbaconolol | Human nasopharyngeal carcinoma cells | Induces necroptosis by remodeling cellular energy metabolism. | [ |
| Oncolytic viruses | Various cancer-types | Mechanism unknown. | [ |
| Proteasome inhibitors | Glioblastoma | Proteasome inhibitors and oncolytic HSV induce necroptosis, increase the production of mitochondrial ROS and JNK phosphorylation and significantly enhance NK cell activation. | [ |
| Shikonin | Lung cancer, triple negative breast cancer and glioma | Induces necroptosis in cancer cells. | [ |
| Silver nanoparticles | Pancreatic ductal adenocarcinoma | Silver nanoparticles have the potential to overcome barriers involved in chemotherapy failure. | [ |
| SMAC mimetic (BV6) | AML (acute myeloid leukaemia) | Sensitizes cell to apoptosis and necroptosis. RIPK1 seems to play the major role in AML. | [ |
| SMAC mimetic (LCL161) | Drug resistant breast cancer | Activation of the RIPK1-RIPK3-MLKL necroptosis. | [ |
RIPK3 epigenetic silencing methods employed by cancer cells.
| Silencing Method | Mechanism | Refs. |
|---|---|---|
| Epstein Barr Virus (EBV) | EBV infection suppresses RIPK3 expression via hypermethylation of the RIPK3 promotor. | [ |
| Methylation | RIPK3 can be silenced in cancer cells due to genomic methylation close to its transcriptional start site, thereby inhibiting RIPK3-dependent necroptosis by chemotherapeutics. | [ |
| Sp1 | Zinc-finger transcription factor, named Sp1, regulates the expression of RIPK3 in a direct way. The knockdown of this transcription factor decreases the transcription of RIPK3 and | [ |
Biomarker performance of pro-necroptotic genes in oncology.
| Expression | Cancer | Prognosis | Refs. |
|---|---|---|---|
| High expression | Non-small cell lung cancer | Improved local control and progression-free survival in treatment with hypofractionated radiation therapy (HFRT) | [ |
| Primary CRC (colon rectal cancer) | Longer mean overall survival after treatment with 5-fluorouracil (5-FU) | [ | |
| Low expression | Breast cancer | Worse prognosis | [ |
| Colon rectal cancer (CRC) | Worse overall survival and disease-free interval. | [ | |
| Low expression | Head and neck cancer (HCC) | Worse prognosis | [ |
| Head and neck cancer (HCC) | Worse prognosis | [ | |
| High expression | Breast cancer | Promotes metastasis | [ |
| Glioblastoma | Worse prognosis | [ | |
| Low expression | Colorectal cancer | Decreased overall survival in treatment with adjuvant chemotherapy. | [ |
| HR-HPV cervical cancer (high risk- human papillomavirus) | Decreased overall survival and disease-free survival | [ | |
| Ovarian cancer | Decreased overall survival. | [ | |
| Pancreatic adenocarcinoma | Decreased overall survival in patients with resected tumor and decreased RFS and OS in the subset of patients with resected tumors who receive adjuvant chemotherapy. | [ | |
| High expression | Breast cancer | Worse prognosis. | [ |
| Cervical SCC (squamous cell carcinoma) | Dual: Higher | [ | |
| Gastric cancer | Tumor suppressing and a potential prognostic biomarker. | [ |
Figure 3A schematic overview of necroptosis driven pro-tumor or anti-tumor immune responses. Necroptotic cancer cells release, damage-associated molecular patterns (DAMPs), chemokines, cytokines, and/or cancer antigens [and can also surface-expose phosphatidylserine (PtdSer)], which creates an inflammatory immune microenvironment that can either have anti-tumor or pro-tumor effects. In the former scenario, necroptotic cancer cells may attract macrophages and naïve dendritic cells (DCs), that can get activated by necroptosis-derived DAMPs/cytokines (1a). Herein, activated DCs can migrate to the lymph nodes and cross-prime naïve CD8+/CD4+ T cells for cancer antigens (1b). Upon such interactions, naïve T cells can differentiate into effector cytotoxic T cells and re-circulate out of the lymph nodes to infiltrate the tumor and kill the cancer cells. In parallel, RIPK3 can also induce the expression of cytokines that can activate natural killer T cells (NKT cells) which will also help in killing the cancer cells (1c). However, in the latter scenario, necroptotic cancer cells can also attract myeloid-derived suppressor cells (MDSC), and/or tumor-associated macrophages (TAM) which can cause tumor-associated immune suppression (2a). In parallel, cytokines released by necroptotic cancer cells can also promote angiogenesis, cancer proliferation and metastasis, combined with the release of reactive oxygen species (ROS) and reactive nitrogen intermediates (RNI) thereby facilitating genomic instability (2b), and further contributing toward tumor progression (2c).