New DrugsTargeting immune checkpoints: New opportunity for mesothelioma treatment?
Introduction
Malignant pleural mesothelioma (MPM) is an aggressive and nearly always fatal cancer, causally linked to previous, mostly professional, exposure to asbestos [1]. The highest incidence rates, around 30 cases per million inhabitants, are reported for Australia, Belgium and the UK [2], [3]. The incidence of MPM is still expected to increase over the next decades due to the long latency between exposure to asbestos and diagnosis and because asbestos is still being used in developing countries [4]. The prognosis of MPM patients remains poor with a median overall survival time in untreated patients of about 10 months and a 5 year survival rate of less than 5% [4], [5]. Palliative platinum–antifolate chemotherapy is the only treatment with proven improvement of outcome in MPM, resulting in a median survival of about 1 year. There is therefore a need for new therapeutic strategies. The discovery of immune checkpoint receptors such as cytotoxic T lymphocyte antigen-4 (CTLA-4) and more recently programmed death-1 (PD-1) introduced a new, exciting era in cancer immunotherapy [6]. Immune checkpoints are responsible for controlling and inactivating the immune system in order to avoid autoimmunity and prevent collateral tissue damage [7]. The new paradigm consists of reactivating silenced immune responses by neutralizing molecules that induce T-cell exhaustion and immune tolerance. Immune checkpoint blocking antibodies have already shown promising results in several cancer types [8], [9], [10], [11], [12], [13]. Recently antibodies blocking immune checkpoints are being investigated in mesothelioma patients. In this review, we discuss the expression pattern and mechanisms of action of CTLA-4 and PD-1 as the two most studied checkpoint receptors and of T-cell immunoglobulin mucin-3 (TIM-3) and lymphocyte activation gene-3 (LAG-3) as two interesting upcoming immune checkpoints. Furthermore, we review the clinical results of therapeutic molecules blocking these immune checkpoints with primary focus on CTLA-4 and PD-1 since FDA approved antibodies are available for both of them. Future opportunities of immune inhibitory molecules will be pointed out, with a special focus on MPM.
Section snippets
CTLA-4: The first clinically targeted immune checkpoint receptor
CTLA-4 is an immune inhibitory receptor that is mainly found on T-cells and to a lower extent on activated B-cells, monocytes, dendritic cells and granulocytes [14], [15], [16], [17]. Its primary role is to regulate T-cell activation upon antigenic stimulation of the T-cell receptor (TCR). T-cell activation can be explained by the two-signal model. The first signal is provided when an antigen, presented by an antigen presenting cell (APC) in combination with a major histocompatibility complex
Other interesting immune checkpoints: LAG-3 and TIM-3
Current research is mainly focused on CTLA-4, PD-1 and their ligands. However, also other molecules on the surface of T lymphocytes can exert inhibitory functions, such as LAG-3 and TIM-3. These two ‘neglected’ immune inhibitory molecules are now gaining more interest since they have been described to be related to T-cell tolerance and exhausted T-cells that are infiltrating the tumor microenvironment [61], [62], [63]. The hypothesis that also other molecules are involved in T-cell exhaustion
Clinical results of blocking antibodies
Different PD-1 blocking compounds are available, such as nivolumab (Opdivo®, BMS-936558, Bristol-Meyers Squibb), pembrolizumab (Keytruda®, MK-3475, Merck) and pidilizumab (Cure-Tech). The latter is the first PD-1 blocking agent that entered clinical trials [81]. It is a humanized (i.e., a mixed human and murine antibody) IgG1 monoclonal antibody, initially investigated during a phase I trial in patients with advanced hematological malignancies. Durable responses of more than 60 weeks were noted,
Immune checkpoints as biomarker
The value of PD-L1 as a prognostic biomarker has been addressed in many cancer types. Data on correlation between expression and overall survival remain controversial. Hino et al. [87] reported PD-L1 expression as a poor prognostic factor in malignant melanoma, while the opposite seems to be suggested by data from Gadiot et al. [88]. Similar discrepancy was also found for NSCLC, ovarian cancer and renal cell carcinoma [42], [89], [90], [91] and might be explained by the use of different sample
Immune checkpoints in mesothelioma: A new treatment opportunity?
Clinical evidence suggests that the immune system plays a critical role in protection against MPM [5], [94], [95]. TILs play an important role in anti tumor immune responses by recognizing tumor-specific antigens and T-cell infiltration has already been associated with a good prognosis in many cancers, such as ovarian and colon cancer. In MPM, high number of CD8+ TILs has shown to be beneficial for prognosis [96], [97], [98], while others reported no association between TILs and survival [99].
Discussion
Inhibiting immune checkpoints with blocking antibodies has already shown promising results in several cancer types [111] and encouraging clinical data with blocking CTLA-4, as well as expression data of PD-1 and PD-L1 in MPM support further investigation of immune checkpoint targeted therapy for MPM treatment. Thorough investigation of the expression of immune checkpoints, also the ‘neglected’ ones, in MPM and the effect of their blockade would help to identify new targets for immunotherapy and
Conclusion
PD-1 and PD-L1 were awarded as cancer breakthrough targets of the year 2013 evolving in a booming attention for immune checkpoints in oncology research. While MPM has interesting immunological features, only few studies until now have focused on this cancer. Research on the expression of immune checkpoints in mesothelioma might help to identify new biomarkers thereby improving patients selection and avoiding toxic side effects in non-responders. Better understanding of the mechanisms of action
Conflict of interest
The authors declare that there are no conflict of interests.
Acknowledgments
This work was performed with the support of the Belgian Foundation Against Cancer (Grant Number: FA/2014/263) and Research Foundation Flanders (Grant Number: 1510215N). E. Marcq is a research fellow of the Agency for Innovation through Science and Technology (fellowship number: 141433).
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