| Literature DB >> 35710565 |
Mengmeng Dong1, Jinna Zhang1, Xiaoyan Han1, Jingsong He1, Gaofeng Zheng1, Zhen Cai2,3.
Abstract
Multiple myeloma (MM) is an incurable plasma cell hematological malignancy. Bortezomib has become the primary drug in the treatment of patients with MM. However, its negative effects, especially peripheral neuropathy (PN), affect the patients' life quality and treatment continuity. However, there are few studies on baseline PN of MM, and little is known of the impact of baseline PN on the prognosis of MM patients. Therefore, we reviewed the clinical data of newly diagnosed MM patients in our center, explored the influencing factors of baseline PN, and evaluated PN's influence on the prognosis of MM patients undergoing induction therapy with bortezomib. According to the inclusion and exclusion criteria, 155 MM patients were eligible for the retrospective study. The multivariate regression analysis, generalized additive fitting smooth curve, the receiver operating characteristic curve (ROC) and K-M curve were conducted in this study. We found that baseline PN in patients with MM was age-related; MM patients with baseline PN have more severe bortezomib induced PN (BiPN) during the four courses of induction therapy with bortezomib as the primary regimen and worse PN outcome after induction therapy. Additionally, the progression-free survival (PFS) and overall survival (OS) of MM patients with baseline PN were worse than those of the MM patients without baseline PN.Entities:
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Year: 2022 PMID: 35710565 PMCID: PMC9203796 DOI: 10.1038/s41598-022-13935-2
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.996
Figure 1Flow chart of participants (created by Processon, https://www.processon.com/). Seven hundred and seventy-two patients participated in the retrospective study. After exclusion, 155 patients were included according to the criteria.
Description of clinical data.
| Variable | Non-baseline PN | Baseline PN | P-value | Variable | Non-baseline PN | Baseline PN | P-value |
|---|---|---|---|---|---|---|---|
| N | 132 | 23 | LDH (g/L) | 207.60 ± 106.80 | 191.09 ± 60.58 | 0.483 | |
| Age | 59.96 ± 9.49 | 66.00 ± 6.61 | 0.003 | HB (g/L) | 91.93 ± 24.14 | 98.23 ± 22.33 | 0.244 |
| Male | 78 (59.54%) | 11 (47.83%) | 0.281 | Bortezomib dose | 0.423 | ||
| BMI | 22.55 ± 2.59 | 22.04 ± 2.84 | 0.399 | BTZ 1.0 mg/m2 | 57 (43.18%) | 12 (52.17%) | |
| 0.862 | BTZ 1.3 mg/m2 | 75 (56.82%) | 11 (47.83%) | ||||
| NA | 41 (31.30%) | 5 (21.74%) | Administration route | 0.781 | |||
| IgG | 50 (38.17%) | 10 (43.48%) | IV | 73 (55.30%) | 12 (52.17%) | ||
| IgA | 36 (27.48%) | 7 (30.43%) | SC | 59 (44.70%) | 11 (47.83%) | ||
| IgD | 3 (2.29%) | 1 (4.35%) | The most severe BiPN | 0.007 | |||
| IgG &IgA | 1 (0.76%) | 0 (0.00%) | 0 | 44 (33.33%) | 0 (0.00%) | ||
| 0.666 | 1 | 63 (47.73%) | 14 (60.87%) | ||||
| NA | 17 (12.98%) | 4 (17.39%) | 2 | 23 (17.42%) | 8 (34.78%) | ||
| λ | 64 (48.85%) | 9 (39.13%) | 3 | 2 (1.52%) | 1 (4.35%) | ||
| κ | 50 (38.17%) | 10 (43.48%) | PN recovery | 0.002 | |||
| 0.666 | 0 | 42 (31.82%) | 1 (4.35%) | ||||
| I | 9 (6.87%) | 1 (4.35%) | 1 | 89 (67.42%) | 20 (86.96%) | ||
| II | 11 (8.40%) | 3 (13.04%) | 2 | 1 (0.76%) | 2 (8.70%) | ||
| III | 111 (84.73%) | 19 (82.61%) | BE | 0.039 | |||
| 0.082 | 1 | 62 (46.97%) | 8 (34.78%) | ||||
| 1 | 36 (27.48%) | 11 (50.00%) | 2 | 54 (40.91%) | 7 (30.43%) | ||
| 2 | 47 (35.88%) | 4 (18.18%) | 3 | 12 (9.09%) | 5 (21.74%) | ||
| 3 | 48 (36.64%) | 7 (31.82%) | 4 | 4 (3.03%) | 3 (13.04%) | ||
| Creatinine (μmol/L) | 121.73 ± 145.51 | 117.69 ± 118.79 | 0.555 | Relapse | 94 (71.21%) | 18 (81.82%) | 0.301 |
| ≥ 177 (μmol/L) | 16 (12.12%) | 5 (21.74%) | 0.214 | PFS (month) | 34.07 ± 27.15 | 19.48 ± 17.33 | 0.016 |
| Albumin (U/L) | 38.28 ± 8.16 | 38.80 ± 7.19 | 0.772 | Mortality | 87 (66.41%) | 15 (68.18%) | 0.871 |
| β2-MG (mg/L) | 5.99 ± 5.29 | 4.56 ± 2.68 | 0.209 | OS (month) | 49.64 ± 31.26 | 28.56 ± 18.81 | 0.003 |
The best curative effectiveness ≤ complete remission (CR) was labelled as 1, very good partial remission (VGPR) as 2, partial remission (PR) as 3, stable disease (SD) as 4.
BMI body bass index, β2-MG β2 microglobin, LDH lactate dehydrogenase, HB haemoglobin, PN peripheral neuropathy, IV intravenous injection, SC Subcutaneous injection, BiPN the most severe bortezomib induced PN during the inductive therapy, BE the best efficacy during the inductive, PFS Progression-free survival, OS overall survival.
Variable-adjusted binary Logistic regression analysis between age and the baseline PN.
| Variable | non-baseline PN (N) | baseline PN (N) | Crude model (OR, 95% CI, P) | Minimally adjusted model (OR, 95% CI, P) | Fully adjusted model (OR, 95% CI, P) |
|---|---|---|---|---|---|
| Age | 132 | 23 | 1.08 (1.02, 1.14) 0.0053 | 1.09 (1.03, 1.15) 0.0048 | 1.10 (1.03, 1.18) 0.0044 |
| < 60 | 71 (53.79%) | 6 (26.09%) | |||
| ≥ 60 | 61 (46.21%) | 17 (73.91%) | 3.30 (1.22, 8.89) 0.0183 | 3.40 (1.19, 9.73) 0.0222 | 3.58 (1.14, 11.18) 0.0284 |
| < 65 | 99 (75.00%) | 11 (47.83%) | |||
| ≥ 65 | 33 (25.00%) | 12 (52.17%) | 3.27 (1.32, 8.11) 0.0105 | 3.50 (1.34, 9.15) 0.0107 | 3.92 (1.35, 11.38) 0.0120 |
| < 70 | 114 (86.36%) | 17 (73.91%) | |||
| ≥ 70 | 18 (13.64%) | 6 (26.09%) | 2.24 (0.78, 6.42) 0.1351 | 2.62 (0.82, 8.42) 0.1049 | 3.15 (0.91, 10.87) 0.0695 |
Statistical method: variable-adjusted binary Logistic regression.
Crude model adjust for: None.
Minimally adjusted model adjust for: gender, immunoglobin type, light chain type.
Fully adjusted model adjust for: gender, BMI, immunoglobin type, light chain type, DS stage, Creatinine, β2 microglobulin, lactate dehydrogenase.
PN peripheral neuropathy.
Figure 2Spline smoothing curve for the cross-sectional correlation between age and baseline peripheral neuropathy (p = 0.017, created by Empower Stats and R software, www.empowerstats.com; http://www.R-project). Generalize additive models was used in the analysis, the red line represented the fitted relationship between age and baseline PN, and the blue lines referred the 95% CI. The model was adjusted for: gender, immunoglobin type, light chain type, DS stage, creatinine, β2 microglobulin; lactate dehydrogenase. PN peripheral neuropathy.
Figure 3Predictive model and the ROC curve (created by Empower Stats and R software, www.empowerstats.com; http://www.R-project) analysis for age and baseline peripheral neuropathy (AUC = 0.697; p = 0.0053). Multiple Fractional Polynomial (MFP) model: − 6.45114 + 7.46433 × I((AGE/100)1). Full model: − 6.45114 + 0.07464 × AGE.
Figure 4Violin plot showed PN grades between different baseline PN groups (created by GraphPad Prism 8). (A) MM patients with baseline PN suffered more severe bortezomib-induced peripheral neuropathy (BiPN) in bortezomib-based inductive regimen (p = 0.0008). PN1, PN2, PN3, and PN4 were acronyms for BiPN in cycles one, two, three, and four, respectively. (B) The grade of the most severe BiPN was higher in MM patients with baseline PN. PN outcome was assessed 6 months after induction therapy. MM patients suffered more severe PN after induction therapy (p = 0.0009). MM multiple myeloma, PN peripheral neuropathy.
Mutiple regressions analysis between the most severe BiPN/PN outcome/BE/PFS/OS and the baseline PN.
| Variable | Crude model (β, 95% CI, P) | Minimally adjusted model (β, 95% CI, P) | Fully adjusted model (β, 95% CI, P) |
|---|---|---|---|
| Non-baseline PN | 0 | 0 | 0 |
| Baseline PN | 0.56 (0.24, 0.88) 0.0008 | 0.51 (0.16, 0.85) 0.0044 | 0.52 (0.18, 0.86) 0.0037 |
| Non-baseline PN | 0 | 0 | 0 |
| Baseline PN | 0.35 (0.15, 0.56) 0.0010 | 0.36 (0.14, 0.57) 0.0016 | 0.34 (0.12, 0.56) 0.0034 |
| Non-baseline PN | 0 | 0 | 0 |
| Baseline PN | 0.45 (0.09, 0.81) 0.0158 | 0.33 (− 0.03, 0.69) 0.0774 | 0.26 (− 0.12, 0.63) 0.1796 |
| Variable | Crude model (HR, 95% CI, P) | Minimally adjusted model (HR, 95% CI, P) | Fully adjusted model (HR, 95% CI, P) |
| Non-baseline PN | 1 | 1 | 1 |
| Baseline PN | 2.11 (1.26, 3.53) 0.0045 | 1.97 (1.15, 3.36) 0.0130 | 2.05 (1.17, 3.59) 0.0122 |
| Non-baseline PN | 1 | 1 | 1 |
| Baseline PN | 1.90 (1.09, 3.33) 0.0244 | 1.81 (1.01, 3.22) 0.0447 | 1.90 (1.04, 3.47) 0.0381 |
Crude model adjust for: None.
Minimally adjusted model adjust for: gender, immunoglobin type, light chain type.
Fully adjusted model adjust for: age, gender, immunoglobin type, light chain type, DS stage, Creatinine, β2 microglobulin; lactate dehydrogenase; bortezomib dose and administration route.
β regression coefficient, PN peripheral neuropathy, BiPN bortezomib induced PN, BE the best efficacy during the inductive therapy, PFS Progression-free survival, OS overall survival.
Statistical methods: 1variable-adjusted multiple linear regression; 2variable-adjusted COX proportional hazards regression.
Figure 5Kaplan–Meier curves (created by Empower Stats and R software, www.empowerstats.com; http://www.R-project) of progression-free survival (PFS) and overall survival (OS) according to baseline PN. (A) MM patients with baseline PN had poorer PFS than with non-baseline PN (p = 0.0036). (B) Compared to MM patients with baseline PN, MM patients with non-baseline PN had better OS (p = 0.0220). MM multiple myeloma, PN peripheral neuropathy, PFS progression-free survival, OS overall survival.