| Literature DB >> 24198621 |
Nina Chi1, Jodi K Maranchie, Leonard J Appleman, Walter J Storkus.
Abstract
Renal cell carcinoma (RCC) remains a significant health concern that frequently presents as metastatic disease at the time of initial diagnosis. Current first-line therapeutics for the advanced-stage RCC include antiangiogenic drugs that have yielded high rates of objective clinical response; however, these tend to be transient in nature, with many patients becoming refractory to chronic treatment with these agents. Adjuvant immunotherapies remain viable candidates to sustain disease-free and overall patient survival. In particular, vaccines designed to optimize the activation, maintenance, and recruitment of specific immunity within or into the tumor site continue to evolve. Based on the integration of increasingly refined immunomonitoring systems in both translational models and clinical trials, allowing for the improved understanding of treatment mechanism(s) of action, further refined (combinational) vaccine protocols are currently being developed and evaluated. This review provides a brief history of RCC vaccine development, discusses the successes and limitations in such approaches, and provides a rationale for developing combinational vaccine approaches that may provide improved clinical benefits to patients with RCC.Entities:
Keywords: cellular immunity; combinational therapy; immunotherapy; renal cell carcinoma; vaccines
Year: 2010 PMID: 24198621 PMCID: PMC3703676 DOI: 10.2147/rru.s7242
Source DB: PubMed Journal: Open Access J Urol ISSN: 1179-1551
Figure 1Paradigm for effective renal cell carcinoma (RCC) vaccines. Antitumor T cells in patients with RCC are frequently anergic, hyporesponsive, or they may mediate functions that are nonprotective. T effector (Te) and memory (Tm) cells (cumulatively indicated as Te/m) may also be prone to apoptotic death based on conditioning by tumor cells or their elaborated products in vivo. Naive (T0) antitumor T cells may be rendered nonresponsive or exhibit specificities against “subdominant” RCC-associated antigens (RCCAAs) or epitopes that have failed to become activated productively. Furthermore, the vitality and function of antitumor T cells may be inhibited by regulatory T cells and myeloid-derived suppressor cells (MDSCs), particularly in the tumor microenvironment (TME). Effective vaccine formulations would at least partially correct such defects by (re)activating Te/m and promoting their extended survival and delivery into the TME. Importantly, given some plasticity in functional T-cell polarization, effective RCC vaccines may promote a conversion of nontype-1 T-cell responses towards type-1 immunity, which has been commonly associated with improved clinical prognosis. Such vaccine-induced repolarization in T-cell function may foster the breaking of operational tolerance against additional RCCAAs and the cross-priming of a broadly reactive antitumor T-cell repertoire. If sustained (through booster vaccination), this vaccine-initiated T-cell response may extend time to disease recurrence or progression and overall patient survival.
RCC-associated antigens (RCCAAs) recognized by T cells
| Antigen | Antigen category | Frequency of expression among RCC tumors (%) | CD8+ T-cell recognition: patients with HLA class I allele(s) | CD4+ T-cell recognition: patients with HLA class II allele(s) | References |
|---|---|---|---|---|---|
| Survivin | ML | 100 | Multiple | Multiple | 114 |
| OFA-iLR | OF | 100 | A2 | NR | 115, 116 |
| IGFBP3 | ML | 97 | NR | Multiple | 117, 118 |
| EphA2 | ML | >90 | A2 | DR4 | 17, 44, 119 |
| RU2AS | Antisense transcript | >90 | B7 | NR | 120 |
| G250 (CA-IX) | RCC | 90 | A2, A24 | Multiple | 47, 51 |
| EGFR | ML | 85 | A2 | NR | 121, 122 |
| HIFPH3 | ML | 85 | A24 | NR | 123 |
| c-Met | ML | >80 | A2 | NR | 124 |
| WT-1 | ML | 80 | A2, A24 | NR | 125–128 |
| MUC1 | ML | 76 | A2 | DR3 | 46, 129, 130 |
| 5T4 | ML | 75 | A2, Cw7 | DR4 | 54, 131–133 |
| iCE | aORF | 75 | B7 | NR | 134 |
| MMP7 | ML | 75 | A3 | Multiple | 117, 135, 136 |
| Cyclin D1 | ML | 75 | A2 | Multiple | 117, 137, 138 |
| HAGE | CT | 75 | A2 | DR4 | 139 |
| hTERT | ML | >70 | Multiple | Multiple | 140–142 |
| FGF-5 | Protein splice variant | >60 | A3 | NR | 143 |
| mutVHL | ML | >60 | NR | NR | 144 |
| MAGE-A3 | CT | 60 | Multiple | Multiple | 145 |
| SART-3 | ML | 57 | Mulitple | NR | 146–149 |
| SART-2 | ML | 56 | A24 | NR | 150 |
| PRAME | CT | 40 | Multiple | NR | 151–154 |
| p53 | Mutant/WT ML | 32 | Multiple | Multiple | 155, 156 |
| MAGE-A9 | CT | >30 | A2 | NR | 157 |
| MAGE-A6 | CT | 30 | Multiple | DR4 | 18, 158 |
| MAGE-D4 | CT | 30 | A25 | NR | 159 |
| Her2/neu | ML | 10–30 | Multiple | Multiple | 45, 160–164 |
| SART-1 | ML | 25 | Multiple | NR | 165–167 |
| RAGE-1 | CT (ORF2/5) | 21 | Multiple | Multiple | 151, 157, 168, 169 |
| TRP-1/gp75 | ML | 11 | A31 | DR4 | 151, 170–172 |
Note: A summary is provided for RCCAAs that have been defined at the molecular level. RCCAAs are characterized with regard to their antigen category, their prevalence of (over) expression among total RCC specimens evaluated, whether RCCAA expression is modulated by hypoxia or tumor DNA methylation status, and which HLA class I and class II alleles have been reported to serve as presenting molecules for T-cell recognition of peptides derived from a given RCCAA.
Hypoxia-induced.
Hypomethylation-induced.
Abbreviations: CT, cancer-testis antigens; ML, multilineage antigens; NR, not reported; OF, oncofetal antigen; aORF, altered open reading frame; ORF, open reading frame; RCC, renal cell carcinoma; WT, wild type.
Figure 2Renal cell carcinoma (RCC) vaccine trials: summary of clinical and immunologic monitoring results. Phase I/II clinical trials were performed in patients with RCC using one of the six indicated types of RCC-associated antigens (RCCAAs), with the cumulative number of patients treated with a given modality indicated in parentheses. RECIST criteria were applied to define patient response to therapy: CR, complete response; PR, partial response; SD, stable disease. The bottom panels show the components used in individual clinical trials. Data are only summarized from published trials in which coordinate immune monitoring for specific T-cell reactivity post- vs prevaccination was performed. Immune monitoring was performed by assessing T-cell responses in vitro (TRIV) using proliferation or cytotoxicity assays, or via the analysis of IFN-γ production by T cells using intracellular staining (in concert with flow cytometry), ELISA or ELISPOT assays. Alternatively, type-1 T-cell responses were deduced based on cutaneous delayed type hypersensitivity (DTH) responses to vaccines in vivo. We report the percentage of treated patients exhibiting specific clinical impact outcomes and increases in specific T-cell responses based on the immune monitoring criteria established for a given protocol. Each filled circle represents the data reported for an individual clinical trial.
Potential vaccine coimmunotherapeutics.
| Cotherapeutic agent | Expected impact on Teff vs suppressor cells
| |||||
|---|---|---|---|---|---|---|
| Teff priming | Teff function | Teff survival | Teff (TME) | Treg/MDSC | References | |
| Cytokines | ||||||
| IL-2 | ↑ | ↑ | +/− | ↑ | ↑ (Treg) | 173–175 |
| IL-7 | ↑ | ↑ | ↑ | ↑ | ↑ (Treg) | 176–178 |
| IL-12 | ↑ | ↑ | ↑ | ↑ | − (Treg), ↓ (MDSC) | 179–181 |
| IL-15 | ↑ | ↑ | ↑ | ↑ | ↑ (Treg)* | 182, 183 |
| IL-18 | ↑ | ↑ | ↑ | ? | ↓ (Treg) | 184–186 |
| IL-21 | ↑ | ↑ | ↑ | ↑ | +/− (Treg) | 187–190 |
| IFN-α | ↑ | ↑ | ↑ | ↑ | +/− (Treg) | 175, 191–194 |
| IFN-γ | ↑ | ↑ | −? | ↑ | ↓ (Treg) | 195–197 |
| GM-CSF | ↑ | ↑ | ↑ | ↑ | ↓ (Treg) | 198–202 |
| Coinhibitory antagonist | ||||||
| CTLA-4 | ↑ | ↑ | ? | ↑ | ↓ (Treg) | 203, 204 |
| PD1/PD1L | ↑ | ↑ | ↑ | ↑ | ↓ (Treg) | 205–207 |
| Costimulatory agonist | ||||||
| CD40/CD40L | ↑ | ↑ | ↑ | ↑ | ↑ (Treg); ↑ (MDSC) | 208–211 |
| GITR/GITRL | ↑ | ↑ | ↑ | ↑ | ↓ (Treg); ↓ (MDSC) | 212, 213 |
| OX40/OX86 | ↑ | ↑ | ↑ | ↑ | ↑↓ (Treg); ↓ (MDSC) | 214–219 |
| 4-1BB/4-1BBL | ↑ | ↑ | ↑ | ↑ | ↑ (Treg) | 220–224 |
| TLR agonists | ||||||
| Imiquimod (TLR7) | ↑ | ↑ | ↑ | ↑ | ? | 225–227 |
| Resiquimod (TLR8) | ↑ | ↑ | ↑ | ? | ? | 228, 229 |
| CpG (TLR9) | ↑ | ↑ | ↑ | ↑ | ↓ (Treg) | 230–232 |
| Antiangiogenic | ||||||
| VEGF-trap | − | − | ? | ? | − | 233 |
| Sunitinib | ↑ | ↑ | ? | ↑ | ↓ (Treg/MDSC) | 98, 100, 234 |
| Sorafenib | ↓ | ↓ | ↓ | ? | ↓ (MDSC) | 235 |
| Bevacizumab | ↑ | ↑ | ? | ? | ↓ (MDSC) | 236, 237 |
| Gefitinib (IRESSA) | ? | ? | ? | ? | ? | 238, 239 |
| Cetuximab | ? | ↑ | ? | ? | ? | 240 |
| mTOR inhibitors | ||||||
| Temsirolimus/everolimus | ↓ | ↓ | ↓ | ? | ↓ (Treg) | 241 |
| Treg/MDSC inhibitors | ||||||
| Iplimumab (CTLA-4) | ↑ | ↑ | ? | ↑ | ↓ (Treg) | 242, 243 |
| ONTAK (CD25) | +/− | +/− | ? | ? | ↓ (Treg) | 244 |
| Anti-TGFβ/TGFβR | ↑ | ↑ | ↑ | ↑ | ↓ (Treg) | 245–247 |
| Anti-IL10/IL10R | ↑ | ↑ | ↑ | +/− | ↓ (Treg) | 248, 249 |
| Anti-IL35/IL35R | ↑? | ↑? | ↑? | ↑? | ↓ (Treg) | 250 |
| 1-Methyl trytophan | ↑ | ↑ | ? | ? | ↓ (MDSC) | 251 |
| ATRA | ↑ | ↑ | ? | ? | ↑ (Treg), ↓ (MDSC) | 90–93 |
Note: Agents that are currently or soon-to-be used in clinical trials are summarized with regard to their anticipated impact(s) on type-1 antitumor T cell (Te) activation, function, survival, and recruitment into the TME. Additional anticipated effects of drugs on suppressor cells (Treg and MDSCs) are also summarized.
Key: ↑, agent is expected to increase parameter; ↓, agent is expected to inhibit parameter; +/−, minimal increase or decrease is expected in parameter as a consequence of treatment with agent; ?, unknown effect of agent on parameter.
Abbreviations: ATRA, all-trans retinoic acid; CTLA-4, cytotoxic T lymphocyte antigen 4; GITR(L), glucocorticoid-induced TNF receptor (ligand); GM-CSF, granulocyte macrophage-colony-stimulating factor; IFN, interferon; IL, interleukin; MDSC, myeloid-derived suppressor cell; PD1/PD1L, programmed cell death 1 (ligand); TGF-β(R), tumor necrosis factor-β (receptor); TLR, Toll-like receptor; TME, tumor microenvironment; Treg, regulatory T cell; VEGF, vascular endothelial growth factor.