Abstract
The aim of the present study was to evaluate the relationship of Epstein–Barr virus (EBV) infection and multiple myeloma (MM) and its impact on clinical characteristics and prognosis. Fresh peripheral blood mononuclear cells (PBMCs) from 139 MM patients who had been diagnosed and treated from January 2010 to May 2018 and 50 PBMC samples from healthy donors were obtained. PCR was carried out for detection of EBV-DNA. The results indicated a significantly higher EBV-DNA concentration among 139 MM patients compared with healthy controls (P<0.05). Correlation analysis showed that the expression of EBV-DNA was positively correlated with the serum free light chain ratio (sFLCR) and progressive disease (PD)/relapse (P<0.05). Especially, in EBV-DNA high-expression MM patients, EBV-DNA concentration for patients with sFLCR ≥100 was higher than that of patients with sFLCR <100. EBV-DNA concentration was higher in patients with disease PD/relapse than those without disease PD/relapse. In univariate analysis, the progress free survival (PFS) was inferior in MM patients with high expression of EBV-DNA, high lactate dehydrogenase (LDH), and high-risk according to mSMART and International Myeloma Working Group (IMWG), stage III according to R-ISS staging, extramedullary lesions, and genetic changes (P<0.05). However, in multivariate analysis, LDH, poor karyotype, R-ISS staging, and mSMART were independent prognostic factors for PFS. Taken together, our studies suggest that an association exists between EBV infection and clinical characteristics of MM patients, and EBV infection appears to have a slight impact on the prognosis of MM. However, the results require further validation in other independent prospective MM cohorts.
Introduction
Multiple myeloma (MM) is the second most common hematological malignancy characterized by monoclonal proliferation of plasma cells that are derived from mature, terminally differentiated B cells [1]. MM patients frequently have depressed levels of polyclonal immunoglobulins and exhibit severe-to-moderate humoral immunodeficiency [2]. Moreover, immune suppressive drug-use during the treatment is another important factor of depressed immunity and subsequent-induced infection [3]. Especially, identification of various infectious factors associated with the progression of MM is crucial in determining disease prognosis and selecting individualized treatment options.
Epstein–Barr virus (EBV) is a member of the Herpesviridae family, and EBV infection occurs worldwide. By adulthood, more than 90% individuals are infected by EBV [4]. Individuals in the Chinese population infected with EBV are younger than those in the Western countries [5]. Thus, it is more important to study the relationship between EBV infection and tumor in China. Previous studies showed that EBV interferes with cellular DNA repair mechanisms and could lead to genetic changes in the infected cells [6,7]. EBV, as well as the other herpes viruses, have been associated with different types of B-cell-derived lymphoid malignancies, such as Burkitt’s lymphoma, Hodgkin’s lymphoma, and diffuse large B-cell lymphoma [8]. The B-cell lymphoid malignancies can initiate from a clone of EBV-infected B cells; furthermore, there is evidence that persistent EBV infection may induce disease progression [9]. The correlation between EBV infection and MM is still controversial [10]. Further studies are required to verify the relationship between EBV infection and MM.
Choosing appropriate clinical specimens and laboratory test method is very important for the diagnosis of different EBV infection-related diseases. Real-time PCR (RT-PCR) has the advantages of fast operation and low risk of laboratory pollution [11]. EBV-DNA loads are the most common specimens and have been widely applied in EBV-related disease diagnosis, treatment effect, and prognostic evaluation [12].
In the present study, peripheral blood mononuclear cells (PBMCs) from 139 MM patients were detected by real-time quantitative PCR and 50 healthy donors were selected as control. We evaluated the potential relationship of EBV infection and MM, and its impact on clinical characteristics and prognosis.
Materials and methods
Patients
We obtained fresh peripheral blood and isolated mononuclear cells from 139 MM patients who had been diagnosed and treated from January 2010 to May 2018. In addition, our study included 50 fresh peripheral blood samples of age and sex-matched healthy donors that represented the control samples. All patients were staged before treatment using both DS staging system and R-ISS staging system. MM patients were not routinely screened for EBV-DNA at diagnosis in China.
DNA extraction and PCR
Mononuclear cells from fresh peripheral blood were extracted by lymphocyte isolation fluid (Solarbio, China). EBV nucleic acid amplification fluorescence detection kit was purchased from Da An Gene Co., Ltd. of Sun Yat-Sen University, and it contained the critical positive quality control product, positive product, negative quality control product, and a PCR reaction tube. PCR products were amplified using specific primers (upstream primer, 5′-GTAGAAGGCCATTTTTCCAC-3′; downstream primer, 5′-TTTCTACGTGACTCCTAGCC-3′) and a double fluorescent-labeled probe (5′-(FAM)ACCACCGTGGCCCAGATGG(TAMRA)-3′). The PCR cycling parameters were set as follows: 93°C for 2 min with 1 cycle, 93°C for 45 s and 55°C for 60 s with 60 cycles, followed by 30 cycles of PCR reaction at 93°C for 30 s, and 55°C for 45 s. The reactions were performed in the Bio-Rad CM9600 Real-Time PCR Detection System (Bio-Rad, Hercules, CA). The detection methods, results analysis and quality control methods followed the company’s reagent instructions. EBV-DNA was divided into high expression (>5 × 103 copies/ml) and low expression (<5 × 103 copies/ml) according to the copy number. All PCR reactions were repeated thrice.
Treatment and follow-up
The diagnosis and therapeutic criteria of MM were identified in accordance with the NCCN guidelines [13]. Follow-up began in January 2010. During induction and consolidation therapy, each course of treatment was followed-up. During the maintenance therapy, the follow-up with the patients was every 3 months. progress free survival (PFS) was measured from the date of diagnosis to disease progression, disease relapse, or to the date of the final follow-up.
Statistical analysis
The results of EBV-DNA expression level are presented as the mean ± S.D. An unpaired t test was used to find the EBV-DNA expression level. Correlation analysis between EBV-DNA expression level and clinical characteristics were analyzed by Spearman’s test. PFS rate was calculated by the Kaplan–Meier method and multivariate survival analysis was performed using the Cox regression model. P<0.05 was considered statistically significant. All statistical analyses were evaluated using SPSS24.0 (IBM Corporation, Armonk, NY, U.S.A.).
Results
Clinical characteristics
A total of 139 cases were identified. Patients had a median age of 60 years (range: 41–82 years). The group of patients included in the study consisted of 69 men and 70 women, median follow-up was 76 (0–100) months, median PFS was 70 months, all patients were alive and the 5-year PFS was 62.6%. In the MM group, there were 139 patients, including 59 (42.4%) patients with IgG type, 31 (22.3%) patients with IgA type, 28 (20.1%) patients with light chain type, 11 (7.9%) patients with non-secretory type, and 10 (7.3%) patients with IgD type. Fifty-eight cases were treated with bortezomib (41.7%), 23 cases were treated with thalidomine (16.5%), 47 cases were treated with both bortezomib and thalidomine (33.8%), 11 cases were treated without bortezomib and thalidomine (8.0%). Fifteen cases accepted autologous stem cell transplantation (ASCT) as consolidation therapy. Twenty cases were EBV-DNA high-expression patients, 119 cases were EBV-DNA low-expression patients. The clinical features of the EBV-DNA high-expression and EBV-DNA low-expression patients are summarized in Tables 1 and 3. Among 20 cases with EBV-DNA high-expression patients, the median age was 61 years (range: 46–82 years), median PFS was 24 months (3–70), the 5-year PFS was 32.8%, including eight (40.0%) patients with IgG type, two (10.0%) patients with IgA type, four (20.0%) patients with light chain type, two (10.0%) patients with non-secretory type, and four (20.0%) patients with IgD type; ten (50.0%) patients with serum free light chain ratio (sFLCR) ≥100; five (25.0%) patients with extramedullary lesions (adrenal gland, skin, liver, pancreas, and pleura, respectively); among 12 patients (60.0%) with genetic change, four patients with del(17p), one patient with del(17p), lq21amplification and del(13q4), one patient with t(4; 14), one patient with t(14;16), one patient with t(11;14), two patients with del(13q4), two patients with lq21amplification. One patient accepted ASCT as consolidation therapy.
P . | Age (year)/sex . | Classification . | DS/R-ISS stage . | Msmart/ IMWG . | sFLCR . | EBV-DNA (copies/ml) . | Extramedullary lesions . | Genetics change . | Theraputic . | Therapeutic evaluation . | PFS (months) . |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | 82/F | IgG-k | III/II | MR/LR | <100 | 6.0 × 103 | No | No | T | PR | 60 |
2 | 69/M | IgG-k | II/I | MR/LR | <100 | 8.4 × 103 | Yes | No | T | PR | 30 |
3 | 60/F | IgG-λ | I/II | MR/MR | <100 | 1.0 × 104 | Yes | Yes | B | SD | 16 |
4 | 69/M | IgD-λ | III/II | MR/LR | ≥100 | 1.4 × 104 | No | No | B | PD | 7 |
5 | 46/M | k | II/II | LR/LR | <100 | 5.0 × 103 | No | No | B + T | CR | 12 |
6 | 59/M | — | II/I | MR/MR | <100 | 8.1 × 103 | No | Yes | B | VGPR | 6 |
7 | 61/F | λ | III/III | MR/LR | <100 | 1.1 × 104 | No | No | B | PD | 22 |
8 | 67/F | IgG-λ | III/II | MR/MR | ≥100 | 6.8 × 103 | Yes | Yes | T | PD | 12 |
9 | 56/F | IgG-k | III/II | MR/MR | ≥100 | 1.2 × 104 | No | Yes | B | PD | 3 |
10 | 68/F | IgD-λ | III/III | HR/HR | ≥100 | 1.3 × 104 | No | Yes | B | Replase | 10 |
11 | 68/F | IgD-λ | III/III | HR/HR | ≥100 | 1.8 × 104 | No | Yes | B | Replase | 24 |
12 | 53/F | IgA-λ | III/III | HR/HR | <100 | 9.7 × 103 | No | Yes | B | PD | 12 |
13 | 67/F | IgA-k | III/III | HR/MR | ≥100 | 1.2 × 104 | No | Yes | Without B + T | Replase | 36 |
14 | 61/M | IgG-k | II/II | MR/MR | ≥100 | 8.3 × 103 | No | Yes | T + ASCT | Replase | 70 |
15 | 58/M | IgG-λ | III/III | HR/HR | <100 | 7.2 × 103 | No | Yes | T | PR | 12 |
16 | 72/M | k | III/II | MR/LR | ≥100 | 5.1 × 103 | No | Yes | B + T | SD | 18 |
17 | 67/M | IgG-λ | III/III | HR/HR | ≥100 | 9.0 × 103 | No | Yes | B | PD | 6 |
18 | 61/M | λ | III/II | LR/MR | <100 | 6.1 × 103 | No | No | B + T | CR | 18 |
19 | 61/M | — | I/I | MR/LR | <100 | 5.0 × 103 | Yes | No | T | PR | 15 |
20 | 53/M | IgD-λ | III/II | LR/LR | <100 | 1.2 × 104 | Yes | No | B | VGPR | 30 |
P . | Age (year)/sex . | Classification . | DS/R-ISS stage . | Msmart/ IMWG . | sFLCR . | EBV-DNA (copies/ml) . | Extramedullary lesions . | Genetics change . | Theraputic . | Therapeutic evaluation . | PFS (months) . |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | 82/F | IgG-k | III/II | MR/LR | <100 | 6.0 × 103 | No | No | T | PR | 60 |
2 | 69/M | IgG-k | II/I | MR/LR | <100 | 8.4 × 103 | Yes | No | T | PR | 30 |
3 | 60/F | IgG-λ | I/II | MR/MR | <100 | 1.0 × 104 | Yes | Yes | B | SD | 16 |
4 | 69/M | IgD-λ | III/II | MR/LR | ≥100 | 1.4 × 104 | No | No | B | PD | 7 |
5 | 46/M | k | II/II | LR/LR | <100 | 5.0 × 103 | No | No | B + T | CR | 12 |
6 | 59/M | — | II/I | MR/MR | <100 | 8.1 × 103 | No | Yes | B | VGPR | 6 |
7 | 61/F | λ | III/III | MR/LR | <100 | 1.1 × 104 | No | No | B | PD | 22 |
8 | 67/F | IgG-λ | III/II | MR/MR | ≥100 | 6.8 × 103 | Yes | Yes | T | PD | 12 |
9 | 56/F | IgG-k | III/II | MR/MR | ≥100 | 1.2 × 104 | No | Yes | B | PD | 3 |
10 | 68/F | IgD-λ | III/III | HR/HR | ≥100 | 1.3 × 104 | No | Yes | B | Replase | 10 |
11 | 68/F | IgD-λ | III/III | HR/HR | ≥100 | 1.8 × 104 | No | Yes | B | Replase | 24 |
12 | 53/F | IgA-λ | III/III | HR/HR | <100 | 9.7 × 103 | No | Yes | B | PD | 12 |
13 | 67/F | IgA-k | III/III | HR/MR | ≥100 | 1.2 × 104 | No | Yes | Without B + T | Replase | 36 |
14 | 61/M | IgG-k | II/II | MR/MR | ≥100 | 8.3 × 103 | No | Yes | T + ASCT | Replase | 70 |
15 | 58/M | IgG-λ | III/III | HR/HR | <100 | 7.2 × 103 | No | Yes | T | PR | 12 |
16 | 72/M | k | III/II | MR/LR | ≥100 | 5.1 × 103 | No | Yes | B + T | SD | 18 |
17 | 67/M | IgG-λ | III/III | HR/HR | ≥100 | 9.0 × 103 | No | Yes | B | PD | 6 |
18 | 61/M | λ | III/II | LR/MR | <100 | 6.1 × 103 | No | No | B + T | CR | 18 |
19 | 61/M | — | I/I | MR/LR | <100 | 5.0 × 103 | Yes | No | T | PR | 15 |
20 | 53/M | IgD-λ | III/II | LR/LR | <100 | 1.2 × 104 | Yes | No | B | VGPR | 30 |
Abbreviations: CR: complete remission; HR: high risk; IMWG: International Myeloma Working Group; LR: low risk; MR: minimal response; PD: progressive disease; PR: Partial response; VGPR: very good partial response.
DNA levels of EBV in MM patients and healthy individuals in control group
The results of real-time PCR showed that the expression level of EBV-DNA in MM patients is higher than the expression level of EBV-DNA in the healthy control group (2823 ± 272.8 copies vs 1561 ± 214.9 copies, P=0.008) (Figure 1).
The expression level of EBV-DNA between healthy controls and MM patients
Correlation analysis between EBV-DNA expression level and clinical characteristics in MM patients
Correlation analysis showed that sFLCR (rs=0.237; P=0.029) and progressive disease (PD)/relapse (rs=0.285; P=0.008) positively correlated with EBV-DNA expression (Table 2). Other clinical characteristics including age, gender, staging, risk stratification, genetic change, extramedullary lesions, therapeutic, the level of lactate dehydrogenase (LDH), albumin, β2-MG, HGB, and ASCT were not correlated with EBV-DNA expression. Meanwhile, among the high-expression EBV-DNA group, sFLCR ≥100 and PD/relapse patients had higher EBV-DNA expression level compared with sFLCR <100 (P=0.043) and non-PD/relapse (P=0.021) patients (Figure 2).
The expression level of EBV-DNA between different subgroups of MM patients
(A) Among high EBV-DNA expression level group, sFLCR ≥100 patients have higher EBV-DNA expression level compared with sFLCR <100 patients; (B) PD/relapse patients have higher EBV-DNA expression level compared with non-PD/relapse patients.
(A) Among high EBV-DNA expression level group, sFLCR ≥100 patients have higher EBV-DNA expression level compared with sFLCR <100 patients; (B) PD/relapse patients have higher EBV-DNA expression level compared with non-PD/relapse patients.
Factors . | EBV-DNA expression . | rs . | P-value . | |
---|---|---|---|---|
. | Low (%) . | High (%) . | . | . |
Gender | −0.017 | 0.842 | ||
Male | 60 (50.4%) | 9 (45.0%) | ||
Female | 59 (49.6%) | 11 (55.0%) | ||
Age (years) | 0.079 | 0.353 | ||
<60 | 58 (48.7%) | 8 (40.0%) | ||
≥60 | 61 (51.3%) | 12 (60.0%) | ||
HGB (g/l) | 0.029 | 0.731 | ||
<115 | 75 (63.0%) | 13 (65.0%) | ||
≥115 | 44 (37.0%) | 7 (35.0%) | ||
sFLCR | 0.237 | 0.029 | ||
<100 | 104 (87.4%) | 10 (50.0%) | ||
≥100 | 15 (12.6%) | 10 (50.0%) | ||
Serum creatinine (umol/l) | 0.064 | 0.454 | ||
<177 | 98 (82.4%) | 16 (80.0%) | ||
≥177 | 21 (17.6%) | 4 (20.0%) | ||
LDH (U/l) | −0.010 | 0.910 | ||
<248 | 101 (84.9%) | 18 (90.0%) | ||
≥248 | 18 (15.1%) | 2 (10.0%) | ||
β2-MG (mg/l) | −0.023 | 0.786 | ||
<5.5 | 75 (63.0%) | 14 (70.0%) | ||
≥5.5 | 44 (37.0%) | 6 (30.0%) | ||
Albumin (g/l) | 0.064 | 0.454 | ||
<35 | 30 (25.2%) | 7 (35.0%) | ||
≥35 | 89 (74.8%) | 13 (65.0%) | ||
Genetics change | −0.019 | 0.827 | ||
No | 42 (35.3%) | 8 (40.0%) | ||
Yes | 77 (64.7%) | 12 (60.0%) | ||
Extramedullary lesions | −0.013 | 0.876 | ||
No | 89 (74.8%) | 15 (75.0%) | ||
Yes | 30 (25.2%) | 5 (25.0%) | ||
DS stage | 0.037 | 0.665 | ||
stage I | 19 (16.0%) | 2 (10.0%) | ||
stage II | 16 (13.4%) | 4 (20.0%) | ||
stage III | 84 (70.6%) | 14 (70.0%) | ||
R-ISS stage | 0.007 | 0.936 | ||
stage I | 30 (25.2%) | 3 (15.0%) | ||
stage II | 55 (46.2%) | 13 (65.0%) | ||
stage III | 34 (28.6%) | 4 (20.0%) | ||
mSMART | 0.019 | 0.823 | ||
Low | 30 (41.1) | 5 (41.7%) | ||
Middle | 24 (32.9%) | 4 (33.3%) | ||
High | 22 (26.0) | 3 (25.0%) | ||
IMWG | 0.089 | 0.299 | ||
Low | 21 (17.6%) | 3 (15.0%) | ||
Middle | 72 (60.5%) | 11 (55.0%) | ||
High | 26 (21.9%) | 6 (30.0%) | ||
Theraputic* | −0.071 | 0.405 | ||
B | 50 (42.0%) | 8 (40.0%) | ||
T | 17 (14.3%) | 6 (30.0%) | ||
B + T | 42 (35.3%) | 5 (25.0%) | ||
without B and T | 10 (8.4%) | 1 (5.0%) | ||
ASCT | 0.112 | 0.188 | ||
No | 108 (88.3%) | 19 (95.0%) | ||
Yes | 14 (11.7%) | 1 (5.0%) | ||
Therapeutic evaluation | 0.076 | 0.376 | ||
CR/nCR | 35 (29.7%) | 7 (35.0%) | ||
VGPR | 8 (6.8%) | 2 (10.0%) | ||
PR/SD/PD | 75 (63.6%) | 11 (55.0%) | ||
Follow-up | 0.285 | 0.008 | ||
Alive | 99 (83.2%) | 10 (50.0%) | ||
Alive with progression | 15 (12.6%) | 6 (30.0%) | ||
Alive with relapse | 5 (4.2%) | 4 (20.0%)) |
Factors . | EBV-DNA expression . | rs . | P-value . | |
---|---|---|---|---|
. | Low (%) . | High (%) . | . | . |
Gender | −0.017 | 0.842 | ||
Male | 60 (50.4%) | 9 (45.0%) | ||
Female | 59 (49.6%) | 11 (55.0%) | ||
Age (years) | 0.079 | 0.353 | ||
<60 | 58 (48.7%) | 8 (40.0%) | ||
≥60 | 61 (51.3%) | 12 (60.0%) | ||
HGB (g/l) | 0.029 | 0.731 | ||
<115 | 75 (63.0%) | 13 (65.0%) | ||
≥115 | 44 (37.0%) | 7 (35.0%) | ||
sFLCR | 0.237 | 0.029 | ||
<100 | 104 (87.4%) | 10 (50.0%) | ||
≥100 | 15 (12.6%) | 10 (50.0%) | ||
Serum creatinine (umol/l) | 0.064 | 0.454 | ||
<177 | 98 (82.4%) | 16 (80.0%) | ||
≥177 | 21 (17.6%) | 4 (20.0%) | ||
LDH (U/l) | −0.010 | 0.910 | ||
<248 | 101 (84.9%) | 18 (90.0%) | ||
≥248 | 18 (15.1%) | 2 (10.0%) | ||
β2-MG (mg/l) | −0.023 | 0.786 | ||
<5.5 | 75 (63.0%) | 14 (70.0%) | ||
≥5.5 | 44 (37.0%) | 6 (30.0%) | ||
Albumin (g/l) | 0.064 | 0.454 | ||
<35 | 30 (25.2%) | 7 (35.0%) | ||
≥35 | 89 (74.8%) | 13 (65.0%) | ||
Genetics change | −0.019 | 0.827 | ||
No | 42 (35.3%) | 8 (40.0%) | ||
Yes | 77 (64.7%) | 12 (60.0%) | ||
Extramedullary lesions | −0.013 | 0.876 | ||
No | 89 (74.8%) | 15 (75.0%) | ||
Yes | 30 (25.2%) | 5 (25.0%) | ||
DS stage | 0.037 | 0.665 | ||
stage I | 19 (16.0%) | 2 (10.0%) | ||
stage II | 16 (13.4%) | 4 (20.0%) | ||
stage III | 84 (70.6%) | 14 (70.0%) | ||
R-ISS stage | 0.007 | 0.936 | ||
stage I | 30 (25.2%) | 3 (15.0%) | ||
stage II | 55 (46.2%) | 13 (65.0%) | ||
stage III | 34 (28.6%) | 4 (20.0%) | ||
mSMART | 0.019 | 0.823 | ||
Low | 30 (41.1) | 5 (41.7%) | ||
Middle | 24 (32.9%) | 4 (33.3%) | ||
High | 22 (26.0) | 3 (25.0%) | ||
IMWG | 0.089 | 0.299 | ||
Low | 21 (17.6%) | 3 (15.0%) | ||
Middle | 72 (60.5%) | 11 (55.0%) | ||
High | 26 (21.9%) | 6 (30.0%) | ||
Theraputic* | −0.071 | 0.405 | ||
B | 50 (42.0%) | 8 (40.0%) | ||
T | 17 (14.3%) | 6 (30.0%) | ||
B + T | 42 (35.3%) | 5 (25.0%) | ||
without B and T | 10 (8.4%) | 1 (5.0%) | ||
ASCT | 0.112 | 0.188 | ||
No | 108 (88.3%) | 19 (95.0%) | ||
Yes | 14 (11.7%) | 1 (5.0%) | ||
Therapeutic evaluation | 0.076 | 0.376 | ||
CR/nCR | 35 (29.7%) | 7 (35.0%) | ||
VGPR | 8 (6.8%) | 2 (10.0%) | ||
PR/SD/PD | 75 (63.6%) | 11 (55.0%) | ||
Follow-up | 0.285 | 0.008 | ||
Alive | 99 (83.2%) | 10 (50.0%) | ||
Alive with progression | 15 (12.6%) | 6 (30.0%) | ||
Alive with relapse | 5 (4.2%) | 4 (20.0%)) |
Note: *B was bortezomib group; T was thalidomine group; B+T was bortezomib and thalidomine.Abbreviation: IMWG: International Myeloma Working Group.
Survival analysis
In univariate analysis (Figure 3), compared with the low-expression EBV-DNA group, the high-expression EBV-DNA group had lower PFS (P=0.046). In addition, the PFS rates were inferior in MM patients with high LDH (P=0.014), high-risk by mSMART (P=0.003), and International Myeloma Working Group (IMWG) (P=0.001), stage III by R-ISS staging (P=0.048), extramedullary lesions (P=0.035), and genetic change (P=0.001). In multivariate analysis, LDH (hazard ratio [HR]: 0.404; 95%CI: 0.146–1.116; P=0.048), genetic change (HR: 0.295; 95% CI: 0.105–0.825; P=0.020), R-ISS staging (HR: 0.462; 95% CI: 0.192–1.111; P=0.045), and mSMART (HR: 2.478; 95% CI: 1.006–6.103; P=0.049) were independent predictors for PFS (Table 3).
Univariate analysis for survival of MM patients
(A) The expression level of EBV-DNA for PFS in MM patients; (B) extramedullary lesions for PFS in MM patients; (C) genetic change for PFS in MM patients; (D) R-ISS staging for PFS in MM patients; (E) IMWG for PFS in MM patients; (F) mSMART for PFS in MM patients.
(A) The expression level of EBV-DNA for PFS in MM patients; (B) extramedullary lesions for PFS in MM patients; (C) genetic change for PFS in MM patients; (D) R-ISS staging for PFS in MM patients; (E) IMWG for PFS in MM patients; (F) mSMART for PFS in MM patients.
Factors . | PFS . | |
---|---|---|
. | HRs (95% CI) . | P-value . |
The expression level of EBV-DNA | 0.583 (0.241–1.407) | 0.230 |
LDH | 0.404 (0.146–1.116) | 0.048 |
R-ISS staging | 0.462 (0.192–1.111) | 0.045 |
Extramedullary lesions | 0.409 (0.097–1.722) | 0.223 |
Genetics change | 0.295 (0.105–0.825) | 0.020 |
mSMART | 2.478 (1.006–6.103) | 0.049 |
IMWG | 1.080 (0.417–2.798) | 0.874 |
Factors . | PFS . | |
---|---|---|
. | HRs (95% CI) . | P-value . |
The expression level of EBV-DNA | 0.583 (0.241–1.407) | 0.230 |
LDH | 0.404 (0.146–1.116) | 0.048 |
R-ISS staging | 0.462 (0.192–1.111) | 0.045 |
Extramedullary lesions | 0.409 (0.097–1.722) | 0.223 |
Genetics change | 0.295 (0.105–0.825) | 0.020 |
mSMART | 2.478 (1.006–6.103) | 0.049 |
IMWG | 1.080 (0.417–2.798) | 0.874 |
Discussion
Several case reports have consistently demonstrated an association between EBV and MM. As early as 1986, there was a case report of EBV positivity after kidney transplantation in patients with secondary MM [14]. In 1995, a case was reported of an AIDS patient who developed MM with a particularly aggressive course that suggested that in the presence of EBV RNA in the plasma cells, EBV plays an etiological role in the development of MM [15]. Another case was described of a patient who developed MM after renal transplantation. EBV-RNA was demonstrated in the neoplastic cells implicating this virus genome in the pathogenesis of the post-transplantation lymphoproliferative disorder [16]. However, most reported patients with EBV-positive plasmacytoma are in a state of immunosuppression. Whether EBV infection promoted the occurrence and progress of MM is controversial. The finding that EBV-DNA concentrations of PBMC in patients with MM were significantly higher than that in individuals in the general population suggests that an association exists. However, our data indicated that the positive rate of EBV-DNA was not statistically significant between patients and the normal controls. Immunodeficient patients, such as those with an EBV infection and those undergoing immunosuppressive drug therapy for transplantation immunosuppressive drug therapies or transplantations, have a slightly increased risk of developing EBV-associated plasmacytoma, and immune regulatory events triggered by the monoclonal myeloma Ig establish and maintain the immunodeficiency in MM patients [17]. The latent infection rate of EBV is generally higher in healthy people [18].
Our research also indicated that the EBV-DNA concentration of PBMC in MM patients was significantly correlated with disease progression/relapse (P<0.05). Likewise, in MM patients with EBV high expression, EBV-DNA concentration was higher in patients with progression/relapse than those without progression/relapse. Similarly, Yan et al. [19] investigated the correlation between EBV infection and solitary plasmacytoma (SP) in 46 patients. The results indicated that EBER-positive patients were more likely to show disease progression (relapse/progression to MM) than EBER-negative patients. Furthermore, we found that EBV-DNA was clearly related to sFLCR, and in the EBV high-expression group, EBV-DNA concentration in cases where sFLCR >100 was higher than that in the sFLCR <100 cases. The sFLCR at initial diagnosis has been widely accepted and applied as a new parameter for the prognosis of patients with myeloma [20]. Paiva et al. [21] found that patients who obtained stringent complete response (sCR) with normal sFLCR had longer PFS than those with abnormal sFLCR, suggesting that sFLCR is an independent prognostic factor of MM. But the related mechanisms remain to be further investigated.
Follow-up data is available for 139 MM patients, all of whom were alive during the last follow-up. The results showed that compared with the low-expression EBV-DNA group, the high-expression EBV-DNA group has lower PFS (P=0.047), but multivariate analysis indicated that EBV-DNA expression was not the independent prognostic factor. A previous study has suggested that EBV positivity is of importance when the differential diagnosis exists between MM and plasmablastic lymphoma (PBL), which is an aggressive malignant B-cell neoplasm. PBL patients (60–75%) have EBV infections and usually die within 1 year [22]. However, the clinical course of MM is indolent. To our knowledge, this is the first study that suggests the role of EBV infection in affecting prognosis of MM. More definitive results need to be confirmed by large sample prospective studies. Similar to previous studies, the present study also showed LDH, genetic change, and R-ISS staging. mSMART and IMWG were independent predictors of PFS [23].
Conclusion
In conclusion, the current study suggests that an association may indeed exist between EBV infection and MM. In addition, our results also indicate that EBV infection is closely related to the clinical characteristics and prognosis of MM patients.
Informed Consent
Informed consent was obtained from all individual participants included in the study.
Funding
This work was supported by grants from the National Natural Science Foundation of China [grant numbers 81600163, 81570201].
Competing Interests
The authors declare that there are no competing interests associated with the manuscript.
Ethical approval
All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.
Author Contribution
B.X. and X.W. contributed to the manuscript preparation; X.W. and M.L. helped to finish the statistical analyses; R.Y., K.Y., L.R., S.L., S.W., and Y.Z. provided essential reagents, clinical samples, information, and intellectual support; B.X., X.W., and Y.Z. designed the experiments, interpreted the data, and wrote the manuscript.
Abbreviations
- ASCT
autologous stem cell transplantation
- DNA
deoxyribonucleic acid
- EBV
Epstein–Barr virus
- FLC
free light chain
- HR
hazard ratio
- IMWG
International Myeloma Working Group
- LDH
lactate dehydrogenase
- MM
multiple myeloma
- NCCN
The National Comprehensive Cancer Network
- PBL
plasmablastic lymphoma
- PBMCs
peripheral blood mononuclear cell
- PD
progressive disease
- PFS
progress free survival
- RNA
ribonucleic acid
- RT-PCR
real-time PCR
- sCR
stringent complete response
- sFLCR
serum free light chain ratio
References
Author notes
These authors are co-first authors and contributed equally to this work.