| Literature DB >> 31185596 |
Alessandro Allegra1, Vanessa Innao2, Andrea Gaetano Allegra3, Marta Pugliese4, Eleonora Di Salvo5, Elvira Ventura-Spagnolo6, Caterina Musolino7, Sebastiano Gangemi8.
Abstract
Almost all multiple myeloma (MM) cases have been demonstrated to be linked to earlier monoclonal gammopathy of undetermined significance (MGUS). Nevertheless, there are no identified characteristics in the diagnosis of MGUS that have been helpful in differentiating subjects whose cancer may progress to a malignant situation. Regarding malignancy, the role of lymphocyte subsets and cytokines at the beginning of neoplastic diseases is now incontestable. In this review, we have concentrated our attention on the equilibrium between the diverse lymphocyte subsets and the cytokine system and summarized the current state of knowledge, providing an overview of the condition of the entire system in MGUS and MM. In an age where the therapy of neoplastic monoclonal gammopathies largely relies on drugs capable of acting on the immune system (immunomodulants, immunological checkpoint inhibitors, CAR-T), detailed knowledge of the the differences existing in benign and neoplastic forms of gammopathy is the main foundation for the adequate and optimal use of new drugs.Entities:
Keywords: T lymphocytes; alarmin; cytokine; immunosurveillance; inflammation; monoclonal gammopathy of undetermined significance; multiple myeloma
Mesh:
Substances:
Year: 2019 PMID: 31185596 PMCID: PMC6600674 DOI: 10.3390/ijms20112822
Source DB: PubMed Journal: Int J Mol Sci ISSN: 1422-0067 Impact factor: 5.923
Figure 1Immune cells involved in multiple myeloma (MM) pathogenesis. The more the arrows are thicker, the most the pathways seems being involved.
Figure 2Cytokines and cell subsets involved in the multiple myeloma (MM) peripheral microenvironment. (a). Cytokines and cell subsets involved in MM bone marrow microenvironment. (b). Cytokines and cell subsets involved in MM peripheral microenvironment.
Figure 3Balance of pro- and anti-inflammatory cytokines in multiple myeloma (MM) progression.
List of the most recent studies (2009–2019) concerning the monoclonal gammopathy of undetermined significance (MGUS) and multiple myeloma (MM) cytokine profiles. Values + = molecules increased. Values − = molecules decreased. BM = bone marrow.
| Authors | Year | MGUS | MM | Humans | Animals | In Vivo | In Vitro | Ex Vivo | N. Pz. | Values |
|---|---|---|---|---|---|---|---|---|---|---|
| Landgren O. et al. [ | 2009 | x | x | x | x | x | 71 | +M protein | ||
| Chiecchio L. et al. [ | 2009 | x | x | x | x | 716 | +deletion/monosomy 13 (Δ13) | |||
| Garayoa M. et al. [ | 2009 | x | x | x | 26 | distinct genomic profile | ||||
| Chen H. et al. [ | 2009 | x | x | BM | x | +PTN | ||||
| Dezorella N. et al. [ | 2009 | x | x | BM | x | x | −CD38; −CD138 | |||
| Greco C. et al. [ | 2009 | x | x | x | BM | x | x | 71 with MGUS; 77 with MM | −IGF-I | |
| Josselin N et al. [ | 2009 | x | x | x | BM | x | 53 with MGUS; 46 with MM | +dendritic cells; +osteoclasts | ||
| Racanelli V. et al. [ | 2010 | x | x | x | BM | x | 20 with MGUS; 20 with MM | MM → APM components | ||
| Bonanno G. et al. [ | 2012 | x | x | x | x | x | 7 with MGUS; 25 with MM | +IDO activity | ||
| Wang P. et al. [ | 2013 | x | x | x | BM | x | x | 11 for MGUS; 13 for MM | +BAFFR; +TACI; +BCMA in MGUS; −BCMA in MM | |
| Mehtap O. et al. [ | 2014 | x | x | BM | 44 | −IL-21; +IL-6, +IL-1β, +TNF-α | ||||
| Ferrucci A. et al. [ | 2014 | x | x | x | BM | x | 24 with MGUS; 32 with MM | +HGF/cMET | ||
| Feng P. et al. [ | 2015 | x | x | x | x | 33 | +Th1; +Th17; −Treg; +IL-6; +IL17A; +IFN-γ; −Foxp3 | |||
| Wang M. et al. [ | 2015 | x | x | BM | x | 55 | +Th17; +Th22 | |||
| Di Lullo G. et al. [ | 2015 | x | x | x | BM | x | x | 5 with MGUS; 37 with MM | +IL-13; +IL-17; +IL-22 | |
| Sponaas A.M. et al. [ | 2015 | x | x | BM | +CD14⁺; +CD16⁺ | |||||
| Koerber R.M et al. [ | 2015 | x | x | x | −Syk | |||||
| Nair S. et al. [ | 2016 | x | x | x | x | BM | x | 20 Gaucher’s disease in humans and 6 GBA 1 mice | +LGL1 | |
| Bosseboeuf A. et al. [ | 2017 | x | x | x | x | x | 101 for MGUS; 135 for MM | +IL-6, + IL-10, +IL-33 in MGUS; −IL-33 in MM | ||
| McNee G. et al. [ | 2017 | x | x | x | BM | x | 30 | +IL-6; +CXCL12; +cMET | ||
| Bosseboeuf A. et al. [ | 2017 | x | x | x | x | 68 with MGUS; 74 with MM | +IL-17, +IFN-α2, +IL-33, + IL-13 | |||
| Dondero A. et al. [ | 2017 | x | x | x | BM | x | 9 | +NK; +IL-27 | ||
| Salem D. et al. [ | 2018 | x | x | x | BM | 24 with MGUS; 35 with MM | +CD126 | |||
| Lamarthée B. et al. [ | 2018 | x | x | x | BM | x | 21 with MGUS; 24 with MM | −Slan-DC for MM; +Slan-DC for MGUS; -IL-12 | ||
| Nair S. et al. [ | 2018 | x | x | x | x | x | x | cohort 1 (76); cohort 2 (274) | +Ig G; +LPC |