| Literature DB >> 30540831 |
Faouzi Djebbari1, Anandagopal Srinivasan1, Grant Vallance1, Sally Moore1, Jaimal Kothari1,2,3, Karthik Ramasamy1,2,3.
Abstract
Bortezomib, a first generation proteasome inhibitor, is used in both newly diagnosed and relapsed myeloma settings. Considerable differences exist in the usage of bortezomib therapy in the clinical practice setting in comparison to clinical trial setting as well manufacturer's recommendations. These differences include route of administration (intravenous (iv) vs. subcutaneous (sc)), frequency from twice to once weekly, choice of alkylating agent used in combination with bortezomib (melphalan or cyclophosphamide), and choice of glucocorticoids (dexamethasone or prednisolone). We reviewed data from 272 consecutive bortezomib-treated myeloma patients, who received therapy within the regional Thames Valley Cancer Network for both newly diagnosed myeloma (NDMM, n = 120) and relapsed MM (RMM, n = 152). We investigated the influence of age, sex, transplant, bortezomib combinations (doublet vs. triplet), cumulative bortezomib dose per treatment line (<50mg vs. ≥50mg), and route of administration (iv vs. sc) on time to next treatment (TTNT) and on overall survival (OS). Route of bortezomib administration (iv vs. sc) influenced neither OS (41 vs 35 months, p = 0.5), nor TTNT (14 vs. 19 months, p = 0.052). Our study showed a statistically significant improvement in median OS in patients receiving a cumulative dose ≥50mg compared to <50mg (42 vs. 33months, p = 0.003), although presence of confounders need to be taken into account, such as disease stage, performance status, genetic changes and prior therapies. Median OS was longer using triplet therapies compared to a doublet in the RMM cohort (37 vs. 29 months, p = 0.06), although this did not reach statistical significance. Multivariate Cox Regression analysis showed that cumulative bortezomib dose ≥50mg (p = 0.002, HR = 1.83, 95% CI 1.25-2.67) and autologous transplant (p = 0.002, HR = 2.6, 95% CI 1.41-3.98) were both significant factors associated with improved OS. Our data argues in favour of continuing bortezomib for the recommended duration as per Summary of Product Characteristics (SPC), subject to good tolerability, in order to deepen response or extend the duration of best response.Entities:
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Year: 2018 PMID: 30540831 PMCID: PMC6291151 DOI: 10.1371/journal.pone.0208920
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Patient and treatment characteristics.
| Total cohort N = 272 | NDMM Cohort N = 120 | RMM Cohort N = 152 | |
|---|---|---|---|
| Age: | 69 (32–95) | 68 (37–95) | 71 (32–93) |
| Sex: | 162 (60%) | 70 (58.3%) | 92 (60.5%) |
| ASCT | 68 (25%) | 31 (25.8%) | 37 (24.3%) |
| Regimen: | 114 (42%) | 43 (35.8%) | 71 (46.7%) |
| Median number of cycles (range): | 5 (1–12) | 5 (1–9) | 5 (1–12) |
| Cumulative dose | 148 (55%) | 70 (58.3%) | 78 (51.3%) |
| Route of administration: | 189 (70%) | 92 (76.7%) | 97 (63.8%) |
| Median number of cycles (range): | 6 (1–36) | 6 (1–20) | 6 (1–36) |
| Median follow up in months (range) | 30 (1–82) | 27 (1–79) | 36 (1–82) |
1 ASCT: autologous stem cell transplant
2doublet: bortezomib plus dexamethasone (VD)
3triplet: bortezomib in combination with a a corticosteroid and an alkylating or an IMiD or novel agent (see Table 2) for more details.
4Cumulative dose for total patients who received a transplant was as follows: ≥50mg (48.5% in total cohort, 41.9% in NDMM, 54% in RMM), <50mg (51.5% in total cohort, 58% in NDMM, 45.9% in RMM).
5Cumulative dose for total patients who did not receive a transplant was as follows: ≥50mg (44.6% in total cohort, 41.6% in NDMM, 46.9% in RMM), <50mg (55.4% in total cohort, 58.4% in NDMM, 53.1% in RMM).
Regimens used and median number of cycles.
| Number of patients | Median number of cycles (range) | |||||
|---|---|---|---|---|---|---|
| Total (272) | NDMM | RMM | Total (272) | NDMM | RMM | |
| VD1 | 114 | 43 | 71 | 5 (1–12) | 5 (1–9) | 5 (1–12) |
| VCD2 | 123 | 63 | 60 | 6 (1–20) | 6 (1–20) | 6 (1–13) |
| VTD3 | 21 | 13 | 8 | 4 (1–14) | 4 (2–6) | 4 (1–14) |
| VRD4 | 6 | 3 | 3 | 5 (1–36) | 4 (2–5) | 7 (1–36) |
| PanBorDex5 | 4 | 0 | 4 | 3 (1–5) | - | 3 (1–5) |
| BVD6 | 8 | 4 | 4 | 4 (1–8) | 4 (1–5) | 6 (3–8) |
| VMP7 | 3 | 0 | 3 | 5 (2–7) | - | 5 (2–7) |
| BorDoxDex8 | 3 | 3 | 0 | 4 (3–6) | 4 (3–6) | - |
| Tabalumab-BorDex9 | 2 | 1 | 1 | 6 (3–8) | 8 (8) | 3 (3) |
VD1: bortezomib and dexamethasone, VCD2: bortezomib, cyclophosphamide and dexamethasone, VTD3: bortezomib, thalidomide and dexamethasone, VRD4: bortezomib, lenalidomide and dexamethasone, PanBorDex5: bortezomib, panobinostat and dexamethasone, BVD6: bortezomib, bendamustine and dexamethasone, VMP7: bortezomib, melphalan and prednisolone, BorDoxDex8: bortezomib, doxorubicin and dexamethasone, Tabalumab-BorDex9: bortezomib, tabalumab and dexamethasone
Fig 1OS in total cohort (sc vs. iv).
Univariate cox regression analysis for total cohort.
| Variable | P value | Hazard Ratio (HR) | 95% CI for HR |
|---|---|---|---|
| Sex | 0.548 | 1.12 | 0.751–1.488 |
| Route | 0.536 | 0.881 | 0.479–1.283 |
| Age | 0.0001 | 0.486 | 0.115–0.856 |
| combination | 0.022 | 1.549 | 1.175–1.923 |
| Transplant | 0.0001 | 3.169 | 2.591–3.747 |
| Cumulative dose | 0.004 | 1.737 | 1.363–2.111 |
Fig 2OS in NDMM (doublet vs. triplet).
Fig 3TTNT in NDMM (doublet vs. triplet).
Fig 4OS in NDMM (≥50mg vs. <50mg).
Univariate cox regression analysis for NDMM cohort.
| Variable | P value | Hazard Ratio (HR) | 95% CI for HR |
|---|---|---|---|
| Sex | 0.418 | 0.771 | 0.142–1.4 |
| Route | 0.528 | 0.797 | 0.091–1.503 |
| Age | 0.041 | 0.525 | -0.092–1.142 |
| Combination | 0.201 | 1.494 | 0.878–2.109 |
| Transplant | 0.004 | 7.848 | 6.427–9.269 |
| Cumulative dose | 0.079 | 1.756 | 1.127–2.385 |
Fig 5OS in RMM (doublet vs. triplet).
Fig 6OS in RMM (≥50mg vs. <50mg).
Univariate cox regression analysis for RMM cohort.
| Variable | P value | Hazard Ratio (HR) | 95% CI for HR |
|---|---|---|---|
| Sex | 0.152 | 1.4 | 0.939–1.861 |
| Route | 0.616 | 0.881 | 0.387–1.375 |
| Age | 0.002 | 0.468 | 0–0.938 |
| Combination | 0.074 | 1.54 | 1.066–2.014 |
| Transplant | 0.01 | 2.324 | 1.681–2.967 |
| Cumulative dose | 0.016 | 1.778 | 1.311–2.244 |
Multivariate cox regression analysis.
| Variable | P value | Hazard Ratio (HR) | 95% CI for HR |
|---|---|---|---|
| Sex | 0.718 | 0.934 | 0.643–1.356 |
| Treatment line | 0.148 | 0.756 | 0.517–1.104 |
| Age | 0.075 | 0.697 | 0.468–1.037 |
| Combination | 0.512 | 1.141 | 0.769–1.694 |
| Transplant | 0.002 | 2.651 | 1.412–4.979 |
| Cumulative dose | 0.002 | 1.827 | 1.248–2.675 |