Next Article in Journal
Surgical Treatment of Intrahepatic Cholangiocarcinoma: Current and Emerging Principles
Previous Article in Journal
General Anesthesia Compared to Spinal Anesthesia for Patients Undergoing Lumbar Vertebral Surgery: A Meta-Analysis of Randomized Controlled Trials
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Real-World Data on Clinical Features, Outcomes, and Prognostic Factors in Multiple Myeloma from Miyazaki Prefecture, Japan

by
Keiichi Akizuki
1,
Hitoshi Matsuoka
2,
Takanori Toyama
3,
Ayako Kamiunten
1,
Masaaki Sekine
1,
Kotaro Shide
1,
Takuro Kameda
1,
Noriaki Kawano
4,
Kouichi Maeda
5,
Masanori Takeuchi
2,
Hiroshi Kawano
2,
Seiichi Sato
6,
Junzo Ishizaki
7,
Yuki Tahira
1,
Haruko Shimoda
1,
Tomonori Hidaka
1,
Kiyoshi Yamashita
4,
Yoko Kubuki
1 and
Kazuya Shimoda
1,*
1
Department of Gastroenterology and Hematology, Faculty of Medicine, University of Miyazaki, 5200 Kihara, Kiyotake, Miyazaki 889-1692, Japan
2
Department of Internal Medicine, Koga General Hospital, 1749-1 Sudaki, Ikeuchi Machi, Miyazaki 880-0041, Japan
3
Department of Internal Medicine, Miyazaki Prefectural Nobeoka Hospital, 2-1-10 Shinkouji, Nobeoka 882-0835, Japan
4
Department of Internal Medicine, Miyazaki Prefectural Miyazaki Hospital, 5-30 Kitatakamatsu, Miyazaki 880-8510, Japan
5
Department of Internal Medicine, Miyakonojo Medical Center, 5033-1 Iwayoshi-cho, Miyakonojo 880-8510, Japan
6
Fujimoto General Hospital, 17-1 Hayasuzumachi, Miyakonojo 885-0055, Japan
7
Department of Internal Medicine, Miyazaki Aisenkai Nichinan Hospital, 3649-2 Kazeta, Nichinan 887-0034, Japan
*
Author to whom correspondence should be addressed.
J. Clin. Med. 2021, 10(1), 105; https://doi.org/10.3390/jcm10010105
Submission received: 4 November 2020 / Revised: 27 December 2020 / Accepted: 28 December 2020 / Published: 30 December 2020
(This article belongs to the Section Hematology)

Abstract

:
The prognosis of multiple myeloma (MM) has improved with the introduction of novel agents. These data are largely derived from clinical trials and might not reflect real-world patient outcomes accurately. We surveyed real-world data from 284 patients newly diagnosed with MM between 2010 and 2018 in Miyazaki Prefecture. The median follow-up period was 32.8 months. The median age at diagnosis was 71 years, with 68% of patients aged >65 years. The International Staging System (ISS) stage at diagnosis was I in 18.4% of patients, II in 34.1%, and III in 47.5%. Bortezomib-containing regimens were preferred as initial treatment; they were used in 147 patients (51.8%). In total, 80% of patients were treated with one or more novel agents (thalidomide, lenalidomide, or bortezomib). Among 228 patients who were treated with novel agents as an initial treatment, the overall response rate (partial response (PR) or better) to initial treatment was 78.4%, and the median time to next treatment (TTNT) was 11.6 months. In the multivariate analysis, PR or better responses to initial treatment were independently favorable prognostic factors for TTNT. The median survival time after initial therapy for patients with novel agents was 56.4 months and 3-year overall survival (OS) was 70.4%. In multivariate analysis, ISS stage I/II disease and PR or better response to initial treatment, and autologous stem cell transplantation (ASCT) were identified as independent prognostic factors for overall survival (OS).

1. Introduction

Multiple myeloma (MM) is a disease characterized by the proliferation of malignant plasma cells. Clinical features include the so-called CRAB criteria (hyperCalcemia, Renal dysfunction, Anemia, Bone lesions) [1]. The prognosis of patients with MM has improved during the past two decades [2]. The introduction of “novel agents” such as thalidomide, lenalidomide, and bortezomib as well as autologous stem cell transplantation (ASCT) has contributed to this improvement, but MM remains incurable with current therapy.
Data demonstrating improvement in MM outcomes are largely derived from clinical trials and might not reflect “real-world” patient outcomes accurately. Several studies based on real-world data have been reported, which are useful for selecting and optimizing treatment in clinical practice [2,3,4,5,6,7,8,9,10]. Studies based on real-world data may be divided into two groups: studies at tertiary referral centers and population-based studies. We conducted a chart review in order to survey the clinical features, therapy options, and outcomes of newly diagnosed MM between 2010 and 2018 in Miyazaki Prefecture, Japan.

2. Materials and Methods

2.1. Patients and Data Collection

We retrospectively surveyed clinical data of patients newly diagnosed with MM between January 2010 and April 2018 at 7 hospitals in Miyazaki Prefecture, Japan. The ethical approval for this study was obtained from the Research Ethics Committee of the Faculty of Medicine, University of Miyazaki.

2.2. Definitions and Clinical Outcome Variables

Clinical staging was based on the International Staging System (ISS) [11]. Standard-risk chromosomal abnormalities (CA) by interphase fluorescence in situ hybridization was defined as absence of del (17p), t (4;14), and t (14;16), whereas high-risk CA was defined as presence of at least one of these abnormalities [12]. Response was based on the International Uniform Response Criteria [13], which includes the following categories: stringent complete response (sCR), complete response (CR), very good partial response (VGPR), partial response (PR), stable response (SD), and progressive disease (PD). Overall response was defined as sCR + CR + VGPR + PR. Overall survival (OS) was calculated from the day of initial therapy to the date of death or last observation. Patients who remained alive at the time of the last follow-up were censored.

2.3. Statistical Analysis

Factors that might influence response or survival were analyzed using logistic regression. Categorical variables were first analyzed in univariate analyses. Variables that were significantly associated with response or survival in univariate analyses were included in a Cox proportional hazards model for multivariate analysis. Statistical significance was defined as p < 0.05. The Kaplan–Meier method was used to estimate OS. The log-rank test was used to compare OS between groups. All data were analyzed using EZR (Easy R) for the R commander, version 1.37.

3. Results

3.1. Patients Characteristics at Diagnosis and Initial Treatments

Between January 2010 and April 2018, there were 284 patients diagnosed with MM at 7 hospitals in Miyazaki Prefecture, Japan. Table 1 presents patient and tumor characteristics, initial treatment regimens, and maximum effects. The median age at diagnosis was 71 years (range, 33–93); 68% of patients were aged >65 years. Regarding ISS stage, 47 patients (18.4%) had stage I disease, 87 (34.1%) had stage II disease, and 121 (47.5%) had stage III disease. Data on cytogenetic abnormalities were only available for 93 patients. Among them, 24.6% of patients had abnormalities associated with poor prognosis.
As initial treatment, 37 patients were treated with bortezomib + lenalidomide + dexamethasone, 147 with other bortezomib-containing regimens, 26 with lenalidomide-containing regimens, 18 with thalidomide-containing regimens, and 56 with conventional chemotherapy. The details of conventional chemotherapy are as follows: melphalan + prednisone was used in 37 patients, vincristine + adriamycin + dexamethasone in 6 patients, high-dose dexamethasone in 5 patients, prednisone in 1 patient, and palliative radiation therapy in 7 patients. Overall, 80% of patients were treated with one or more novel agents as bortezomib, lenalidomide, or thalidomide. ASCT was performed in 47 patients (16.5%). The following analysis was focused on 228 patients who were treated with novel agents as an initial treatment. The median follow-up period was 32.8 months.

3.2. The Best Response to Initial Treatment

The best response to initial treatment was sCR in 11 patients, CR in 17 patients, VGPR in 49 patients, PR in 68 patients, SD in 29 patients, and PD in 11 patients. Among patients who underwent ASCT, 18.9% achieved CR or better response before ASCT.
The overall response rate, defined as the proportion of patients with PR or better response, was 78.4%. In univariate analysis, age ≤ 65 years (p = 0.019) was associated with favorable response.

3.3. Time to Next Treatment (TTNT) and 2nd Line Regimens

The median TTNT was 11.6 months for patients treated with novel agents (Figure 1a). TTNT in patients aged ≤65 years was significantly superior to that in patients aged >65 (p = 0.011) (Figure 1b). The median TTNT in patients with stage I, II, and III was 10.5, 14.2, and 9.3 months, respectively. TTNT was longer in patients with stage I/II disease compared with those with stage III disease (Figure 1c).
The second line regimens in patients treated with novel agents as an initial treatment were summarized in Table 2. Among patients treated with triplet regimens, 15 (71.4%) patients were secondary treated with next-generation novel agents, such as daratuzumab, elotuzumab, carfilzomib, ixazomib, or pomalidomide. Among patients with bortezomib, 35 (39.3%) and 19 (21.3%) were secondary treated with lenalidomide and next-generation novel agents, respectively. Among patients with lenalidomide, 5 (50.0%) were secondary treated with bortezomib.

3.4. Overall Survival

The median survival time (MST) since initial treatment was 56.3 months (Figure 2a). The MST for patients aged ≤65 years was 96.3 months, and that for patients aged >65 years was 48.2 months (p < 0.001) (Figure 2b). MST for patients with stage I, II, and III disease was 110.0, 72.0, and 42.2 months, respectively (p < 0.001) (Figure 2c). Of 228 patients, 44 patients underwent ASCT. Patients who underwent ASCT had longer MST (72.0 months) than patients who did not undergo ASCT (40.4 months) (p < 0.001) (Figure 2d). In the 84 patients aged ≤65 years, 34 patients underwent ASCT while the remaining 50 did not. Reasons for not undergoing ASCT were available for 41 patients. The most frequent reasons were accessibility difficulties to the transplant facility (n = 14, 34.1%), followed by impaired major organ functions (n = 9, 22.0%: renal dysfunction in 5, respiratory dysfunction in 1, cardiac dysfunction in 3), no patient wish to undergo transplantation (n = 7, 17.1%), poor disease control (n = 5, 12.2%), lower performance status (n = 3, 7.3%), and others (complication of solid tumors, poor mobilization, intractable diverticulitis; each 1 case).

3.5. Factors Which Affected on TTNT and OS

Among patients who were treated with novel agents as an initial treatment, both TTNT and OS were significantly better in the deeper response groups by response to initial treatment. TTNT in patients achieving PR or better response was 15.3 months, whereas TTNT of patients achieving SD or PD was 6.6 months (p < 0.001) (Figure 3a). MST in patients achieving PR or better response was 68.2 months, whereas MST of patients achieving SD or PD was 39.6 months. Patients achieving PR or better response after the initial treatment had better survival than patients with SD or PD (p < 0.001) (Figure 3b).
We analyzed the effect of initial therapy response and ASCT together with patient characteristics. In univariate analyses, age ≤ 65 year, ISS stage I/II stage, PR or better response to initial treatment, and ASCT were associated with longer TTNT, and age ≤65 years, ISS stage I/II disease, PR or better response to initial treatment, and ASCT were associated with favorable OS (Table 3 and Table 4). In multivariate analysis, PR or better responses to initial treatment were independently favorable prognostic factors for TTNT, and ISS stage I/II disease and PR or better response to initial treatment, and ASCT were independent favorable prognostic factors for OS.

4. Discussion

We retrospectively surveyed patient characteristics, clinical features, treatment options, and outcomes in patients newly diagnosed with MM. These data provide valuable information on the circumstances of MM and real-world outcomes following treatment and factors that influence prognosis.
The median age at diagnosis of our patients was 71 years, and 68% of patients in this study were aged >65 years. These results were similar to those in previous real-world reports from a European multicenter observational study and a Japanese regional study [3,4], but the median age of our patients was approximately 5 years older than in previous reports from the Mayo Clinic, a Japanese Society of Myeloma (JSM) multicenter study, and Czech registry data [2,5,6]. In our cohort, only 18.4% of patients had ISS stage I disease at diagnosis. This proportion was similar to the proportion in the European observational study (16%), but was much lower than that in reports from the Mayo Clinic (30%), JSM multicenter study (26.5%), and Czech registry data (31.9%) [2,4,5,6]. Older age was correlated with higher ISS stage, with 10.9% of patients aged >65 years presenting with ISS stage I disease in our cohort. This was also observed in the Czech registry data, where only 12% of patients aged ≥80 years presented with ISS stage I disease [5]. The lower proportion of patients with ISS stage I disease in both our cohort and the European observational study might be due to the higher proportion of elderly patients compared with other reports.
Current guidelines recommend initial treatment with one or more novel agents and ASCT for eligible patients. In our cohort, about 80% of patients received one or more novel agents as the initial treatment. In contrast, only 16.5% of patients underwent ASCT, which was much lower than that in the Mayo Clinic reports or JSM multicenter study, in which 37% and 34% of patients received ASCT, respectively [2,6]. One reason for this difference might be the larger proportion of elderly patients in our cohort. In fact, this gap narrowed when the analysis was restricted to patients aged ≤65 years; 40.0% and 56% of patients aged ≤65 years received ASCT in our cohort and the Mayo Clinic cohort, respectively, although the gap was still present. Another major reason was the difficulty in accessing transplant facilities.
Among patients who were treated with novel agents as an initial therapy, most (78.4%) achieved PR or better response after initial treatment. The proportion of patients who achieved CR (9.2%) and VGPR or better response (41.6%) in our cohort was much lower than that in the European observational study, in which 32% and 74% of patients achieved CR and VGPR or better response, respectively [4]. In addition, the TTNT in our cohort was 11.6 months, which was also inferior to the corresponding value (progression-free survival: 16.3 months) in the European observational study. We are not able to account for this difference of a deeper response (CR/VGPR) and TTNT between our cohort and the European observational study at this time. However, more elderly patients in our cohort might account for the difference. Even though the response rate in our cohort was lower and TTNT was shorter than those reported in other real-world studies, OS seemed to be similar. MST in our cohort was 56.4 months, which was comparable with MST of 50.3 months in the Czech registry data and 51.8 months in a previous Japanese regional study [3,5], but was inferior to the 6.1 years or 60.6 months in reports from the Mayo Clinic or JSM multicenter study [2,6]. In univariate analysis, age ≤ 65 years, ISS stage I/II disease, PR or better response to initial treatment, and ASCT were associated with favorable prognosis. The inferior OS in our cohort compared to reports from the Mayo Clinic or JSM multicenter study might be due to the higher proportion of elderly patients, lower proportion of patients with ISS stage I disease, and lower proportion of patients who underwent ASCT. Patient characteristics in our cohort and outcomes resembled the results of the European observational study and Czech registry data, which might reflect real-world practice for MM.
In addition to patient age, disease burden, and treatment choice, which are all based on pre-treatment status, PR or better response to initial treatment was associated with longer TTNT and better OS, which was consistent with many previous reports [6,14]. This initial treatment effect was also observed with multivariate analysis.
This study had some limitations. It was retrospective in design. Each physician determined the choice of treatment, and treatment doses and durations varied across individuals. Physician definitions of treatment response may not be as rigorous as the evaluation criteria used in clinical trials. However, our data constituted a population-based cohort. Therefore, the results of this study reflect daily practice in the era of novel agents. Finally, early identification of patients with poor prognosis after the initial treatment will allow us to change the therapeutic strategy earlier, which may contribute to better survival.

Author Contributions

K.A. performed statistical analyses and wrote the manuscript. K.A., H.M., T.T., A.K., M.S., K.S. (Kotaro Shide), T.K., N.K., K.M., M.T., H.K., S.S., J.I., Y.T., H.S., T.H., K.Y., and Y.K. collected the clinical data. K.S. (Kazuya Shimoda) revised the paper. All authors have read and agreed to the published version of the manuscript.

Funding

This study was supported by a Grant-in-Aid for Clinical Research from University of Miyazaki Hospital.

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the Research Ethics Committee of the Faculty of Medicine, University of Miyazaki.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions.

Conflicts of Interest

K Shide received Grant-in-Aid for Clinical Research from University of Miyazaki Hospital for this article. No other author has reported a potential conflict of interest relevant to this article.

Abbreviations

ASCTautologous stem cell transplantation
CAchromosomal abnormality
CRcomplete response
ISSInternational Staging System
JSMJapanese Society of Myeloma
MMmultiple myeloma
MSTmedian survival time
OSoverall survival
PDprogressive disease
PRpartial response
sCRstringent complete response
SDstable disease
TTNTtime to next treatment
VGPRvery good partial response

References

  1. Rajkumar, S.V.; Dimopoulos, M.A.; Palumbo, A.; Blade, J.; Merlini, G.; Mateos, M.V.; Kumar, S.; Hillengass, J.; Kastritis, E.; Richardson, P.; et al. International Myeloma Working Group updated criteria for the diagnosis of multiple myeloma. Lancet Oncol. 2014, 15, e538–e548. [Google Scholar] [CrossRef]
  2. Kumar, S.K.; Dispenzieri, A.; Lacy, M.Q.; Gertz, M.A.; Buadi, F.K.; Pandey, S.; Kapoor, P.; Dingli, D.; Hayman, S.R.; Leung, N.; et al. Continued improvement in survival in multiple myeloma: Changes in early mortality and outcomes in older patients. Leukemia 2014, 28, 1122–1128. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Shida, S.; Takahashi, N.; Niioka, T.; Kitabayashi, A.; Kawabata, Y.; Kume, M.; Saitoh, H.; Hatano, Y.; Ichikawa, Y.; Kuroki, J.; et al. Treatment of multiple myeloma in Akita: Features and outcomes in the era of novel agents. J. Clin. Exp. Hematop. 2014, 54, 89–93. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Yong, K.; Delforge, M.; Driessen, C.; Fink, L.; Flinois, A.; Gonzalez-McQuire, S.; Safaei, R.; Karlin, L.; Mateos, M.V.; Raab, M.S.; et al. Multiple myeloma: Patient outcomes in real-world practice. Br. J. Haematol. 2016, 175, 252–264. [Google Scholar] [CrossRef] [PubMed]
  5. Hajek, R.; Jarkovsky, J.; Maisnar, V.; Pour, L.; Spicka, I.; Minarik, J.; Gregora, E.; Kessler, P.; Sykora, M.; Frankova, H.; et al. Real-world Outcomes of Multiple Myeloma: Retrospective Analysis of the Czech Registry of Monoclonal Gammopathies. Clin. Lymphoma. Myeloma. Leuk. 2018, 18, e219–e240. [Google Scholar] [CrossRef] [PubMed]
  6. Ozaki, S.; Handa, H.; Saitoh, T.; Murakami, H.; Itagaki, M.; Asaoku, H.; Suzuki, K.; Isoda, A.; Matsumoto, M.; Sawamura, M.; et al. Trends of survival in patients with multiple myeloma in Japan: A multicenter retrospective collaborative study of the Japanese Society of Myeloma. Blood Cancer J. 2015, 5, e349. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  7. Ozaki, S.; Harada, T.; Saitoh, T.; Shimazaki, C.; Itagaki, M.; Asaoku, H.; Kuroda, Y.; Chou, T.; Yoshiki, Y.; Suzuki, K.; et al. Survival of multiple myeloma patients aged 65–70 years in the era of novel agents and autologous stem cell transplantation. A multicenter retrospective collaborative study of the Japanese Society of Myeloma and the European Myeloma Network. Acta Haematol. 2014, 132, 211–219. [Google Scholar] [CrossRef] [PubMed]
  8. Knauf, W.; Aldaoud, A.; Hutzschenreuter, U.; Klausmann, M.; Dille, S.; Wetzel, N.; Janicke, M.; Marschner, N.; the TLN-Group (Tumour Registry Lymphatic Neoplasms). Survival of non-transplant patients with multiple myeloma in routine care differs from that in clinical trials-data from the prospective German Tumour Registry Lymphatic Neoplasms. Ann. Hematol. 2018, 97, 2437–2445. [Google Scholar] [CrossRef] [Green Version]
  9. Raab, M.S.; Cavo, M.; Delforge, M.; Driessen, C.; Fink, L.; Flinois, A.; Gonzalez-McQuire, S.; Safaei, R.; Karlin, L.; Mateos, M.V.; et al. Multiple myeloma: Practice patterns across Europe. Br. J. Haematol. 2016, 175, 66–76. [Google Scholar] [CrossRef] [Green Version]
  10. Bergin, K.; McQuilten, Z.; Moore, E.; Wood, E.; Spencer, A. Myeloma in the Real World: What Is Really Happening? Clin. Lymphoma. Myeloma. Leuk. 2017, 17, 133–144.e131. [Google Scholar] [CrossRef]
  11. Greipp, P.R.; San Miguel, J.; Durie, B.G.; Crowley, J.J.; Barlogie, B.; Blade, J.; Boccadoro, M.; Child, J.A.; Avet-Loiseau, H.; Kyle, R.A.; et al. International staging system for multiple myeloma. J. Clin. Oncol. 2005, 23, 3412–3420. [Google Scholar] [CrossRef] [PubMed]
  12. Palumbo, A.; Avet-Loiseau, H.; Oliva, S.; Lokhorst, H.M.; Goldschmidt, H.; Rosinol, L.; Richardson, P.; Caltagirone, S.; Lahuerta, J.J.; Facon, T.; et al. Revised International Staging System for Multiple Myeloma: A Report From International Myeloma Working Group. J. Clin. Oncol. 2015, 33, 2863–2869. [Google Scholar] [CrossRef]
  13. Durie, B.G.; Harousseau, J.L.; Miguel, J.S.; Blade, J.; Barlogie, B.; Anderson, K.; Gertz, M.; Dimopoulos, M.; Westin, J.; Sonneveld, P.; et al. International uniform response criteria for multiple myeloma. Leukemia 2006, 20, 1467–1473. [Google Scholar] [CrossRef] [Green Version]
  14. Gay, F.; Larocca, A.; Wijermans, P.; Cavallo, F.; Rossi, D.; Schaafsma, R.; Genuardi, M.; Romano, A.; Liberati, A.M.; Siniscalchi, A.; et al. Complete response correlates with long-term progression-free and overall survival in elderly myeloma treated with novel agents: Analysis of 1175 patients. Blood 2011, 117, 3025–3031. [Google Scholar] [CrossRef]
Figure 1. Time to next treatment (TTNT) by patient characteristics. (a) TTNT from initial therapy. (b) TTNT from initial therapy by age. (c) TTNT from initial therapy by ISS stage. ISS, International Staging System; TTNT, time to next treatment.
Figure 1. Time to next treatment (TTNT) by patient characteristics. (a) TTNT from initial therapy. (b) TTNT from initial therapy by age. (c) TTNT from initial therapy by ISS stage. ISS, International Staging System; TTNT, time to next treatment.
Jcm 10 00105 g001
Figure 2. Overall survival (OS) by patient characteristics and type of therapies. (a) OS from initial therapy. (b) OS from initial therapy by age. (c) OS from initial therapy by ISS stage. (d) OS from initial therapy by ASCT status. ASCT, autologous stem cell transplantation; ISS, International Staging System; OS, overall survival.
Figure 2. Overall survival (OS) by patient characteristics and type of therapies. (a) OS from initial therapy. (b) OS from initial therapy by age. (c) OS from initial therapy by ISS stage. (d) OS from initial therapy by ASCT status. ASCT, autologous stem cell transplantation; ISS, International Staging System; OS, overall survival.
Jcm 10 00105 g002
Figure 3. Time to next treatment (TTNT) and overall survival (OS) by response to initial therapy. (a) TTNT in those who achieved PR/better versus those who did not. (b) OS in those who achieved PR/better versus those who did not. CR, complete response; OS, overall survival; PD, progressive disease; PR, partial response; sCR, stringent complete response; SD, stable disease; TTNT, time to next treatment; VGPR, very good partial response.
Figure 3. Time to next treatment (TTNT) and overall survival (OS) by response to initial therapy. (a) TTNT in those who achieved PR/better versus those who did not. (b) OS in those who achieved PR/better versus those who did not. CR, complete response; OS, overall survival; PD, progressive disease; PR, partial response; sCR, stringent complete response; SD, stable disease; TTNT, time to next treatment; VGPR, very good partial response.
Jcm 10 00105 g003
Table 1. Patient characteristics and clinical summary.
Table 1. Patient characteristics and clinical summary.
CharacteristicOverallNon-Novel Agent Novel Agent p Value #p Value
TotalAge ≤ 65 yearsAge > 65 years
(n = 284)(n = 56)(n = 228)(n = 84)(n = 144)
Age, y71.0 (33–93)75 (42–90)69 (33–93)58.5 (33–65)77 (66–93)0.002<0.001
Sex
Male144 (50.7)25 (44.6)119 (52.2)45 (53.6)74 (51.4)0.3880.857
Female140 (49.3)31 (55.4)109 (47.8)39 (46.4)70 (48.6)
ISS stage 0.0730.002
I47 (18.4)12 (26.1)35 (16.7)21 (26.2)14 (10.9)
II87 (34.1)19 (41.3)68 (32.5)29 (36.2)39 (30.2)
III121 (47.5)15 (32.6)106 (50.7)30 (37.5)76 (58.9)
Missing data291019415
Cytogenetic profile
Standard-risk a70 (75.4)4 (66.7)67 (77.0)24 (80.0)43 (75.4)0.9870.687
High-risk b23 (24.6)2 (33.3)20 (23.0)6 (20.0)14 (24.6)
Missing data191501415487
Initial therapy <0.001<0.001
Triplet37 (13.0)0 (0.0)37 (16.2)12 (14.3)25 (17.4)
Bortezomib-containing regimen147 (51.8)0 (0.0)147 (64.5)69 (82.1)78(54.2)
Lenalidomide-containing regimen26 (9.6)0 (0.0)26 (11.4)3 (3.6)23 (16.0)
Thalidomide-containing regimen18 (6.3)0 (0.0)18 (7.9)0 (0.0)18 (12.5)
MP regimen37 (13.0)37 (66.1)0 (0.0)0 (0.0)0 (0.0)
Other19 (6.7)19 (33.9)0 (0.0)0 (0.0)0 (0.0)
ASCT 0.021<0.001
Yes47 (16.5)3 (5.4)44 (19.3)34 (40.5)10 (6.9)
No237 (83.5)53 (94.6)184 (80.7)50 (59.5)134 (93.1)
Best response 0.004<0.001
OR (sCR + CR + VGPR + PR)164 (74.9)19 (55.9)145 (78.4)59 (88.1)86 (72.9)
sCR11 (5.0)0 (0.0)11 (5.9)4 (6.0)7 (5.9)
CR17 (7.8)0 (0.0)17 (9.2)10 (14.9)7 (5.9)
VGPR56 (25.5)7 (20.6)49 (26.5)14 (20.9)35 (29.7)
PR80 (26.2)12 (35.3)68 (36.8)31 (46.3)37 (31.4)
SD41 (18.7)12 (35.3)29 (15.7)6 (9.0)23 (19.5)
PD14 (6.4)3 (8.8)11 (5.9)2 (3.0)9 (7.6)
Missing data6522431726
a, Standard risk defined as absence of high risk chromosomal abnormalities; b, High risk chromosomal abnormalities defined as presence of del 17p and/or t (4;14) and/or t (14;16); ASCT, autologous stem cell transplantation; CR, complete response; ISS, International Staging System; MP, melphalan and prednisone; NA, not available; OR, overall response; PD, progressive disease; PR, partial response; sCR, stringent complete response; SD, stable disease; VGPR, very good partial response. p#, p value between patient treated with novel agent and patients treated without novel agent; p, p value between patient aged ≤65 years and patients aged >65 years.
Table 2. Second line regimens in patients treated with novel agents as an initial treatment.
Table 2. Second line regimens in patients treated with novel agents as an initial treatment.
Second Line Treatment RegimenInitial Treatment Regimen
Triplet
(n = 37)
Bortezomib-Containing
(n = 147)
Lenalidomide-Containing
(n = 26)
Thalidomide-Containing
(n = 18)
Daratuzumab-containing3 (14.3)0 (0.0)0 (0.0)0 (0.0)
Elotuzumab-containing4 (19.0)3 (3.4)0 (0.0)0 (0.0)
Carfilzomib-containing3 (14.3)2 (2.2)1 (10.0)0 (0.0)
Ixazomib-containing1 (4.8)3 (3.4)1 (10.0)0 (0.0)
Bortezomib-containing1 (4.8)16 (18.0)5 (50.0)3 (30.0)
Pomalidomide-containing4 (19.0)11 (12.4)1 (10.0)0 (0.0)
Lenalidomide-containing3 (14.3)35 (39.3)0 (0.0)6 (60.0)
Thalidomide-containing0 (0.0)1 (1.1)0 (0.0)1 (10.0)
Triplet2 (9.5)12 (13.5)2 (20.0)0 (0.0)
Conventional chemotherapy0 (0.0)6 (6.7)0 (0.0)0 (0.0)
No further treatment51232
due to poor general conditions *0322
due to unknown reasons5910
Early death3951
Missing data83785
* Poor general conditions including low performance status, infectious complications, or organ dysfunctions resulting from 1st line treatment.
Table 3. Univariate and multivariate analysis of clinical factors influencing time to next treatment from initial therapy.
Table 3. Univariate and multivariate analysis of clinical factors influencing time to next treatment from initial therapy.
VariableUnivariateMultivariate
HR (95% CI)p ValueHR (95% CI)p Value
Age (>65 vs. ≤65 years)1.55 (1.10–2.18)0.0111.22 (0.79–1.89)0.367
Stage (III vs. I or II)1.58 (1.12–2.26)0.0051.37 (0.94–1.99)0.090
Cytogenetic profiles (High-risk a vs. standard-risk b)1.22 (0.66–2.28)0.523
ASCT status (performed vs. not performed)0.64 (0.42–0.98)0.0410.88 (0.52–1.48)0.630
Response of initial therapy (PR or better vs. SD or PD)0.43 (0.27–0.66)<0.0010.50 (0.31–0.79)0.003
Variables significant in univariate models were included in multivariate Cox regression model. a, High-risk chromosomal abnormalities defined as presence of del (17p) and/or t (4;14) and/or t (14;16); b, Standard-risk defined as absence of high risk chromosomal abnormalities; ASCT, autologous stem cell transplantation; CI, confidence interval; HR, hazard ratio; PD, progressive disease; PR, partial response; SD, stable disease.
Table 4. Univariate and multivariate analysis of clinical factors influencing overall survival from initial therapy.
Table 4. Univariate and multivariate analysis of clinical factors influencing overall survival from initial therapy.
VariableUnivariateMultivariate
HR (95% CI)p ValueHR (95% CI)p Value
Age (>65 vs. ≤65 years)2.45 (1.56–3.84)<0.0011.30 (0.76–2.22)0.332
Stage (III vs. I or II)2.57 (1.66–4.00)<0.0012.19 (1.37–3.49)0.001
Cytogenetic profiles (High-risk a vs. standard-risk b)1.57 (0.74–3.31)0.239
ASCT status (performed vs. not performed)0.30 (0.16–0.58)<0.0010.40 (0.18–0.85)0.017
Response of initial therapy (PR or better vs. SD or PD)0.43 (0.26–0.71)0.0010.47 (0.27–0.79)0.005
Variables significant in univariate models were included in multivariate Cox regression model. a, High-risk chromosomal abnormalities defined as presence of del (17p) and/or t (4;14) and/or t (14;16); b, Standard-risk defined as absence of high risk chromosomal abnormalities; ASCT, autologous stem cell transplantation; CI, confidence interval; HR, hazard ratio; PD, progressive disease; PR, partial response; SD, stable disease.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Akizuki, K.; Matsuoka, H.; Toyama, T.; Kamiunten, A.; Sekine, M.; Shide, K.; Kameda, T.; Kawano, N.; Maeda, K.; Takeuchi, M.; et al. Real-World Data on Clinical Features, Outcomes, and Prognostic Factors in Multiple Myeloma from Miyazaki Prefecture, Japan. J. Clin. Med. 2021, 10, 105. https://doi.org/10.3390/jcm10010105

AMA Style

Akizuki K, Matsuoka H, Toyama T, Kamiunten A, Sekine M, Shide K, Kameda T, Kawano N, Maeda K, Takeuchi M, et al. Real-World Data on Clinical Features, Outcomes, and Prognostic Factors in Multiple Myeloma from Miyazaki Prefecture, Japan. Journal of Clinical Medicine. 2021; 10(1):105. https://doi.org/10.3390/jcm10010105

Chicago/Turabian Style

Akizuki, Keiichi, Hitoshi Matsuoka, Takanori Toyama, Ayako Kamiunten, Masaaki Sekine, Kotaro Shide, Takuro Kameda, Noriaki Kawano, Kouichi Maeda, Masanori Takeuchi, and et al. 2021. "Real-World Data on Clinical Features, Outcomes, and Prognostic Factors in Multiple Myeloma from Miyazaki Prefecture, Japan" Journal of Clinical Medicine 10, no. 1: 105. https://doi.org/10.3390/jcm10010105

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop