| Literature DB >> 26265184 |
S Lonial1, B Durie2, A Palumbo3, J San-Miguel4.
Abstract
The treatment landscape for patients with multiple myeloma (MM) is constantly evolving. Over the past decade, the introduction of novel agents such as proteasome inhibitors and immunomodulatory drugs has led to notable changes in therapeutic strategy, and improvements in survival, yet MM remains incurable in the vast majority of cases. More recently, a targeted approach to MM treatment has emerged, using monoclonal antibodies (mAbs) to target antigens expressed on the surface of MM cells. MAbs tested to date kill MM cells via the host's immune system and/or by promoting apoptosis, and appear to have generally improved tolerability compared with currently available treatments. Due to their distinct mode of action, mAbs are promising both for patients who have exhausted current regimens, and as part of first-line treatments in newly diagnosed patients. This review examines the recent developments in mAb-based therapy for MM, primarily focused on those agents in ongoing clinical testing.Entities:
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Year: 2015 PMID: 26265184 PMCID: PMC4777772 DOI: 10.1038/leu.2015.223
Source DB: PubMed Journal: Leukemia ISSN: 0887-6924 Impact factor: 11.528
Figure 1MM cell and its microenvironment, showing target molecules.[107, 108, 109, 110] BAFF, B-cell activating factor; BCMA, B-cell maturation antigen; MM, multiple myeloma.
Figure 2CD38 mode of action. ADCC, antibody-dependent cell-mediated cytotoxicity; ADCP, antibody-dependent cellular phagocytosis; ADPR, adenosine diphosphate ribose; cADPR, cyclic adenosine diphosphate ribose; CDC, complement-dependent cytotoxicity; mAb, monoclonal antibody; MAC, membrane attack complex; MM, multiple myeloma; NAADP, nicotinic acid adenine dinucleotide phosphate; NAD+, nicotinamide adenine dinucleotide; NADP, nicotinamide adenine dinucleotide phosphate; NK, natural killer.
Clinical data from mAb-based treatment in patients with MM
| n | ||||||||
|---|---|---|---|---|---|---|---|---|
| CD38 | DARA 16 mg/kg | — | 20 (20) | 4 (2–12) | 35 | 5 | 10 | Lokhorst |
| DARA 16 mg/kg | — | 106 (106) | 5 (2–14) | 29 | 9 | 3 | Lonial | |
| DARA 2–16 mg/kg | LEN–DEX | 45 (43) | 2 (1–4) | 91 | 44 | 14 | Plesner | |
| DARA 16 mg/kg | BORT–DEX | 6 (6) | 0 (newly diagnosed) | 100 | 50 | 0 | Mateos | |
| DARA 16 mg/kg | BORT–MEL–PRED | 8 (8) | 0 (newly diagnosed) | 100 | 50 | 0 | Mateos | |
| DARA 16 mg/kg | BORT–THAL–DEX | 11 (10) | 0 (newly diagnosed) | 100 | 20 | 10 | Mateos | |
| DARA 16 mg/kg | POM–DEX | 24 (11) | ⩾2 prior lines | 55 | 9 | 18 | Mateos | |
| SAR650984 ⩾10 mg/kg | — | 19 (19) | 6.5 (2–16) | 32 | 0 | 16 | Martin | |
| SAR650984 10 mg/kg | LEN–DEX | 24 (24) | 7 (2–14)/4 (1–9) | 63 | 29 | 8 | Martin | |
| MOR202 | ±DEX | 42 (23) | 4 (2–11) | 4 | 4 | 0 | Raab | |
| CS1 | ELO | — | 35 (34) | 4.5 (2–10) | 0 | 0 | 0 | Zonder |
| ELO | THAL–DEX | 40 (40) | 3 (1–8) | 40 | 10 | 8 | Mateos | |
| ELO | BORT | 28 (27) | 2 (1–3) | 48 | NR | 7 | Jakubowiak | |
| ELO | BORT–DEX | 77 (77) | 29% ⩾2 | 65 | 30 | 4 | Jakubowiak | |
| ELO | LEN–DEX | 29 (28) | 3 (1–10) | 82 | 29 | 4 | Lonial | |
| ELO 10 mg/kg | LEN–DEX | 36 (36) | 55% ⩾2 | 92 | 50 | 14 | Richardson | |
| ELO | LEN–DEX | 321 (321) | 2 (1–4) | 79 | 28 | 4 | Lonial | |
| IL-6 | Siltuximab | — | 14 (13) | 4 (2–8) | 0 | 0 | 0 | Voorhees |
| Siltuximab | DEX | 39 (38) | 4 (2–9) | 11 | 0 | 0 | Voorhees | |
| Siltuximab | BORT | 142 (131) | 51% 2–3 | 55 | NR | 11 | Orlowski | |
| Siltuximab | BORT–MEL–PRED | 52 (49) | 0 (newly diagnosed) | 88 | NR | 27 | San-Miguel | |
| BAFF | Tabalumab | BORT±DEX | 48 (48) | 3 (1–10) | 46 | 8 | 4 | Raje |
| CD74 | Milatuzumab | — | 25 (25) | 5 (2–14) | 0 | 0 | 0 | Kaufman |
| CD138 | Indatuximab ravtansine | — | 31 (27) | 5 (2–13) | 4 | 0 | 0 | Heffner |
| Indatuximab ravtansine | LEN–DEX | 47 (41) | 3 (1–11) | 78 | 32 | 10 | Kelly | |
| PD-1 | Nivolumab | — | 27 (27) | 78% ⩾3 | 0 | 0 | 0 | Lesokhin |
| CD40 | Lucatumumab | — | 28 (23) | 8 (2–17) | 4 | NR | 0 | Bensinger |
| Dacetuzumab | — | 44 (44) | 5 (2–14) | 0 | 0 | 0 | Hussein | |
| Dacetuzumab | LEN–DEX | 36 (33) | 4 (2–14) | 39 | NR | 3 | Agura | |
| CD56 | Lorvotuzumab mertansine | — | 37 CD56+ (28) | 57% ⩾6 | 7 | NR | 0 | Chanan-Kahn |
| Lorvotuzumab mertansine | LEN–DEX | 44 CD56+ (39) | 2 (1–10) | 56 | 28 | 3 | Berdeja | |
| CXCR4 | Ulocuplumab | LEN–DEX | 29 (29) | 4 (1–9) | 55 | NR | NR | Ghobrial |
| Ulocuplumab | BORT–DEX | 15 (15) | 40 | NR | NR | |||
Abbreviations: BAFF, B-cell activating factor; BORT, bortezomib; CR, complete response; DARA, daratumumab; DEX, dexamethasone; ELO, elotuzumab; IL-6, interleukin-6; LEN, lenalidomide; mAb, monoclonal antibody; MEL, melphalan; MM, multiple myeloma; NR, not reported; POM, pomalidomide; PR, partial response; PRED, prednisolone; THAL, thalidomide; VGPR, very good partial response.
Median number of prior lines of therapy reported.
As defined in inclusion criteria.
Median number of prior therapies across entire study population.
Response criteria as defined by International Myeloma Working Group,[111] except in cases where VGPR is not reported for which European Bone Marrow Transplant criteria were used.[112]
Figure 3PD-1/PD-L1 mode of action. In normal subjects, active NK cells and T cells serve to destroy ‘unwanted' cells. In patients with MM, PD-L1 is expressed on MM cells, and PD-1 by NK cells and T cells. PD-1/PD-L1 signaling in patients with MM inhibits the function of these immune cells, allowing MM to escape death. MM, multiple myeloma; NK, natural killer.