| Literature DB >> 31694167 |
Eleonora Calabretta1, Francesco d'Amore2, Carmelo Carlo-Stella1,3.
Abstract
Classical Hodgkin Lymphoma (cHL) is a B-cell malignancy that, typically, responds well to standard therapies. However, patients who relapse after standard regimens or are refractory to induction therapy have a dismal outcome. The implementation of novel therapies such as the anti-CD30 monoclonal antibody Brentuximab Vedotin and immune checkpoint inhibitors has provided curative options for many of these patients. Nonetheless, responses are rarely durable, emphasizing the need for new agents. cHL is characterized by a unique microenvironment in which cellular and humoral components interact to promote tumor survival and dissemination. Knowledge of the complex composition of cHL microenvironment is constantly evolving; in particular, there is growing interest in certain cell subsets such as tumor-associated macrophages, myeloid-derived suppressor cells and neutrophils, all of which have a relevant role in the pathogenesis of the disease. The unique biology of the cHL microenvironment has provided opportunities to develop new drugs, many of which are currently being tested in preclinical and clinical settings. In this review, we will summarize novel insights in the crosstalk between tumor cells and non-malignant inflammatory cells. In addition, we will discuss the relevance of tumor-microenvironment interactions as potential therapeutic targets.Entities:
Keywords: classical hodgkin lymphoma; immune evasion; microenvironment
Mesh:
Substances:
Year: 2019 PMID: 31694167 PMCID: PMC6862619 DOI: 10.3390/ijms20215503
Source DB: PubMed Journal: Int J Mol Sci ISSN: 1422-0067 Impact factor: 5.923
Figure 1A schematic representation of novel therapeutic targets in classical Hodgkin lymphoma (cHL), exploiting tumor–microenvironment interactions. The black arrow represents a bimodal shift in macrophage polarization.
Efficacy of novel agents for the treatment of relapsed/refractory cHL.
| Authors | Drug | Patients ( | OS/PFS/ORR | References |
|---|---|---|---|---|
| Armand et al., J Clin Oncol 2018 | Nivolumab | 243 | Median PFS 14.7 months | [ |
| Chen et al., Blood 2019 [abstract] | Pembrolizumab | 210 | Median PFS 16.5 months | [ |
| Chen et al. [abstract Lugano conference 2017] | Avelumab | 31 | ORR 54% | [ |
| Gopal et al., Ann Oncol 2017 | Idelalisib | 25 | Median PFS 2.3 months | [ |
| Van den Neste et al., Haematologica 2018 | Ruxolitinib | 33 | ORR 9.4% | [ |
| Phillips et al., Blood 2018 | Itacitinib + PI3Kδ inhibitor INCB040093 | 21 | 51% PFS at 12 months | [ |
| Horwitz et al. [abstract ASH 2017] | Camidanlumab Tesirine | 35 * | ORR 71.4% | [ |
FU = follow-up, OS = overall survival, PFS = progression-free survival, ORR = overall response rate, * including patients previously treated with checkpoint inhibitors.