Literature DB >> 26354062

The prognostic impact of inflammatory factors in patients with multiple myeloma treated with thalidomide in Korea.

Cheolsu Kim1, Ho Sup Lee1, Chang-Ki Min2, Je Jung Lee3, Kihyun Kim4, Dok Hyun Yoon5, Hyeon Seok Eom6, Hyewon Lee6, Won Sik Lee7, Ho-Jin Shin8, Ji Hyun Lee9, Yong Park10, Jae-Cheol Jo11, Young Rok Do12, Yeung-Chul Mun13.   

Abstract

BACKGROUND/AIMS: The purpose of this study was to determine the correlations between inflammatory factors-including absolute lymphocyte count, lactate dehydrogenase, β2-microglobulin, albumin, C-reactive protein, and ferritin-and the prognosis for survival in patients with multiple myeloma (MM) treated with induction chemotherapy containing thalidomide and who underwent autologous stem cell transplantation (ASCT).
METHODS: Data from patients at 13 university hospitals in South Korea were collected retrospectively between December 2005 and May 2013.
RESULTS: The median age of the 232 patients was 57 years (range, 33 to 77) and the male to female ratio was 1.09:1. In the multivariate analysis, fewer than two combined abnormal inflammatory factors was the only independent prognostic factor for superior progression-free survival (relative risk [RR], 0.618; 95% confidence interval [CI], 0.409 to 0.933; p = 0.022), and platelet count > 100 × 10(9)/L and fewer than two combined abnormal inflammatory factors were independent prognostic factors for superior overall survival (RR, 4.739; 95% CI, 1.897 to 11.839; p = 0.001 and RR, 0.263; 95% CI, 0.113 to 0.612; p = 0.002, respectively).
CONCLUSIONS: Patients with two or more than two combined inflammatory factors who were treated with thalidomide induction chemotherapy and who underwent ASCT showed significantly shorter survival compared to those with fewer than two combined inflammatory factors. These results could be helpful for predicting prognosis in patients with MM.

Entities:  

Keywords:  Inflammation; Multiple myeloma; Prognosis; Thalidomide

Mesh:

Substances:

Year:  2015        PMID: 26354062      PMCID: PMC4578032          DOI: 10.3904/kjim.2015.30.5.675

Source DB:  PubMed          Journal:  Korean J Intern Med        ISSN: 1226-3303            Impact factor:   2.884


INTRODUCTION

Many advances have been made in treatments for multiple myeloma (MM), as novel agents, such as thalidomide, bortezomib, and lenalidomide, have been developed [1-3]. In particular, thalidomide was the first novel agent introduced that improved the overall response rate (ORR) in transplant eligible or ineligible patients with MM [4-6]. It was first confirmed in 1999 that thalidomide was active in patients with relapsed and/or refractory MM. Since then, thalidomide has become an important part of MM treatment as initial therapy for previously untreated patients, as maintenance therapy following definitive treatment, and as salvage therapy [3-9]. Many prognostic factors have been investigated together with the development of MM treatments. The prognostic parameters correlated with survival in patients with MM are serum β2-microglobulin (β2MG), albumin, absolute lymphocyte count (ALC), C-reactive protein (CRP), lactate dehydrogenase (LDH), serum ferritin, bone marrow plasma cell percentage, serum creatinine, hemoglobin, platelet count, age, Eastern Cooperative Oncology Group performance status, and serum free light chains or their ratio [10-16]. Prognostic scoring systems have also been developed, such as the Durie-Salmon Staging System (D-S stage) and the International Staging System (ISS) [17,18]. However, the significance of the D-S stage or the ISS for predicting prognosis decreased after the development and introduction of novel agents. Therefore, a new prognostic model or factors are needed for a more precise prediction of prognosis. Cytogenetic abnormalities, which are confirmed by conventional chromosomal studies or fluorescence in situ hybridization (FISH), have emerged as important prognostic markers [11,19-21]. However, FISH is used less frequently to predict prognosis in clinical practice because of the high cost and time expenditure involved. We identified useful prognostic clinical or laboratory factors that are easily tested in patients with newly diagnosed MM. Serological inflammatory markers, such as ALC, LDH, β2MG, albumin, CRP, and ferritin, have been correlated with the prognosis of patients with MM [10,13,15,16]. However, few studies of the prognostic impact of combined inflammatory status in patients with MM have been conducted. Therefore, the purpose of this study was to determine the correlation between the frequency of combined inflammatory factors—including ALC, LDH, β2MG, and albumin—and the prognosis for survival in patients with MM treated with induction chemotherapy containing thalidomide who also underwent autologous stem cell transplantation (ASCT).

METHODS

Patients and treatment

Data from patients at 13 university hospitals in South Korea were collected retrospectively between December 2005 and May 2013. All patients were treated with thalidomide-containing chemotherapy and then underwent ASCT. Patients who were treated with an induction chemotherapy regimen without thalidomide or those who underwent tandem ASCT were excluded. The thalidomide combination induction chemotherapy consisted of thalidomide (fixed oral dose of 50 to 100 mg on days 1 to 28) plus intravenous (IV) dexamethasone (20 mg/m2 or oral on days 1 to 4 and days 15 to 18) every 4 weeks (TD), cyclophosphamide (fixed oral dose of 150 mg on days 1 to 4 every 4 weeks) plus TD (CTD), doxorubicin (9 mg/m2 IV rapid infusion on days 1 to 4) plus TD (TAD) every 4 weeks, and thalidomide plus vincristine 4 mg/m2 IV infusion on days 1 to 4, 9 mg/m2 doxorubicin IV rapid infusion on days 1 to 4, and 20 mg/m2 dexamethasone IV or oral on days 1 to 4, 9 to 12, and 17 to 20 (VAD) every 4 weeks. Only four patients were treated with this thalidomide plus VAD regimen. Low-dose aspirin was used to prevent thrombosis during induction chemotherapy. A total of 221 patients who achieved PR or better underwent ASCT with high-dose melphalan (100 to 200 mg/m2).

Analysis

Progression-free survival (PFS) and overall survival (OS) were estimated using clinical parameters in all patients, including age, sex, hemoglobin, platelet count, ALC, β2MG, serum albumin, LDH, cytogenetic risk, ISS score, response before ASCT, and inflammatory score. A conventional chromosomal study was performed in 204 patients and FISH including t(11;14), t(4;14), 13q deletion, 17p deletion, t(14;16), tri 1q, and t(14;20) were also performed in more than 100 patients. The cytogenetic risk, which was determined by conventional cytogenetics or FISH, was divided into standard, intermediate, and high risk. Standard risk included normal cytogenetics and hyperdiploidy, t(11;14), and t(6;14). Intermediate risk included t(4;14), 13q deletion, and hypodiploidy; and high risk included 17p deletion, t(14;16), and t(14;20) [19,21-23]. Each inflammatory factor of ALC level < 1.0 × 109/L, β2MG level > 3.5 mg/L, serum albumin < 3.5 g/dL, and LDH level above normal was defined as a combined abnormal inflammatory factor, and the sum of these abnormal factors was analyzed. Responses before and after ASCT were assessed according to the International Myeloma Working Group uniform response criteria [24].

Statistical analysis

We investigated independent prognostic factors associated with survival using the listed clinical and laboratory parameters. PFS was defined as the duration from the start date of induction chemotherapy to the date of disease progression, relapse, or death from any cause after ASCT. OS was calculated from the date of diagnosis to the date of death from any cause or the final follow-up date. Survival probabilities were calculated according to the Kaplan-Meier method and compared using the log-rank test. The Cox proportional hazards regression model was used for the multivariate analysis of independent prognostic factors of survival. Information about the baseline medical status and treatment modalities was collected from the medical records. Approval for this study was obtained from each Institutional Review Board.

RESULTS

Clinical and laboratory characteristics

The median age of the 232 patients was 57 years (range, 33 to 77), and the male to female ratio was 1.09:1. The median serum monoclonal protein level was 2.4 g/dL (range, 0.0 to 9.8), the median hemoglobin level was 10.1 g/dL (range, 4.2 to 15.4), and the median platelet count was 196.5 × 109/L (range, 37.0 to 454.0). Standard cytogenetic risk was found in 173 patients (74.6%), intermediate risk in 39 (16.8%), and high risk in 20 (8.6%). The frequencies of the combined abnormal inflammatory factors of 0, 1, 2, 3, and 4 were found in 64 (27.6%), 75 (32.3%), 67 (28.9%), 18 (7.8%), and five (2.2%) patients, respectively. Other clinical and laboratory characteristics are summarized in Table 1.
Table 1.

Clinical and laboratory characteristics (n = 232)

CharacteristicValue
Age, yr57 (33-77)
Gender
 Male122 (52.6)
 Female111 (47.4)
Follow-up duration, mon24 (7-107)
Multiple myeloma subtype
 IgG, κ, or λ124 (53.4)
 IgA, κ, or λ35 (15.1)
 Light chain disease62 (26.7)
 Others[a]11 (4.7)
Serum monoclonal protein, g/dL2.4 (0.0-9.8)
Hemoglobin, g/dL10.1 (4.2-15.4)
Platelet count, x 109/L196.5 (37-454)
Absolute lymphocyte count, x 109/L1.730 (0.025-8.100)
Serum calcium, mg/dL9.1 (1.3-15.4)
Serum total protein, g/dL8.2 (2.9-15.2)
Serum albumin, g/dL3.65 (1-5.6)
Serum β2-microglobulin, mg/L3.4 (1.16-32)
Lactate dehydrogenase, IU/L310 (80-1,940)
Cytogenetic risk
 Standard176 (75.9)
 Intermediate36 (15.5)
 High20 (8.6)
International Staging System
 I78 (33.6)
 II75 (32.3)
 III69 (29.7)
 Unknown10 (4.3)
Abnormal inflammatory factors
 064 (27.6)
 175 (32.3)
 267 (28.9)
 318 (7.8)
 45 (2.2)
Treatment regimen
 TD129
 CTD96
 TAD3
 TVAD4
Response before ASCT
 CR or sCR81 (34.9)
 VGPR61 (26.3)
 PR79 (34.1)
 < PR7 (3.1)
 Unknown4 (1.7)

Values are presented as median (range), number (%), or number.

TD, thalidomide plus dexamethasone; CTD, cyclophosphamide plus thalidomide and dexamethasone; TAD, thalidomide plus doxorubicin and dexamethasone; TVAD, thalidomide plus VAD (vincristine, doxorubicin and dexamethasone); ASCT, autologous stem cell transplantation; CR, complete response; sCR, stringent complete response; VGPR, very good partial response; PR, partial response.

IgD κ, IgD λ or non-secretory.

Treatment outcomes after induction chemotherapy and ASCT

The response rates achieved before and after ASCT were as follows: complete response (CR) or stringent CR in 81 (34.9%) and 142 (60.2%) patients, very good partial response (PR) in 61 (26.3%) and 47 (20.3%), PR in 79 (34.1%) and 32 (13.8%), and < PR in seven (3.1%) and five (2.3%). The median follow-up duration was 24.5 months (range, 6.9 to 108.9). The median PFS was 31.93 months (range, 25.1 to 38.8), and the median OS was not reached during the follow-up (Fig. 1).
Figure 1.

(A) Median progression-free survival was 31.93 months (range, 25.1 to 38.8), and (B) median overall survival was not reached during the follow-up in patients treated with thalidomide induction chemotherapy and who underwent autologous stem cell transplantation.

Prognostic factors in patients with MM receiving thalidomide as induction chemotherapy

The following factors in the univariate analysis were associated with a greater than 2-year PFS (Table 2): low β2MG (< 3.5 mg/L vs. ≥ 3.5 mg/L, 74.8% vs. 54.5%, p = 0.022), normal LDH (normal vs. abnormal, 67.4% vs. 50.5%, p = 0.009), low cytogenetic risk (standard vs. intermediate vs. high, 68.5% vs. 48.5% vs. 61.5%, p = 0.018), and having fewer than two combined abnormal inflammatory factors (< 2 vs. ≥ 2, 72.1% vs. 53.3%, p = 0.004) (Fig. 2A). The following factors were associated with a greater than 2-year OS (Table 2): higher hemoglobin level (< 10 g/dL vs. ≥ 10 g/dL, 84.6% vs. 96.1%, p = 0.042), higher platelet count (< 100 × 109/L vs. ≥ 100 × 109/L, 48.5% vs. 93.1%, p < 0.001), lower β2MG (< 3.5 mg/L vs. ≥ 3.5 mg/L, 98.7% vs. 84.7%, p < 0.001), normal LDH (normal vs. abnormal, 91.6% vs. 69.5%, p < 0.001), lower cytogenetic risk (standard vs. intermediate vs. high, 92.1% vs. 90.3% vs. 83.8%, p = 0.028), lower ISS (I, II, and III, 98.0%, 90.3%, and 83.8%, respectively; p = 0.024), and having fewer than two combined abnormal inflammatory factors (< 2 vs. ≥ 2, 98.1% vs. 81.1%, p < 0.001) (Fig. 2B). The survival curves of 2-year PFS and OS according to the inflammatory factors (Fig. 2A and 2B) are compared to 2-year PFS and OS according to ISS in Fig. 2C and 2D. The factors correlated with longer survival in the univariate analysis were included in a multivariate analysis, excluding β2MG and LDH because they were already included as abnormal inflammatory factors. ISS was also excluded from the multivariate analysis because β2MG and albumin were already included as abnormal inflammatory factors. In the multivariate analysis, abnormal inflammatory factors (< 2) was the only independent prognostic factor for superior PFS (relative risk [RR], 0.618; 95% confidence interval [CI], 0.409 to 0.933; p = 0.022), and platelet count > 100 × 109/L, and fewer than two abnormal inflammatory factors were the only independent prognostic factors for greater OS (RR, 4.793; 95% CI, 1.897 to 11.839; p = 0.001 and RR, 0.263; 95% CI, 0.113 to 0.612; p = 0.002, respectively) (Table 3).
Table 2.

Clinical and laboratory values associated with progression-free survival and overall survival in the univariate analysis

CharacteristicProgression-free survival
Overall survival
2-Year, %p value2-Year, %p value
Age, yr0.8110.200
 < 5564.095.8
 ≥ 5566.187.4
Gender0.3500.700
 Male59.488.5
 Female72.392.9
Hemoglobin, g/dL0.3900.042
 < 1060.884.6
 ≥ 1069.396.1
Platelet count, × 109/L0.286< 0.001
 < 10044.348.5
 ≥ 10066.793.1
Absolute lymphocyte count, × 109/L0.2240.467
 < 1.059.791.0
 ≥ 1.066.290.3
Serum β2-microglobulin, mg/L0.022< 0.001
 < 3.574.898.7
 ≥ 3.554.584.7
Serum albumin, g/dL0.7370.637
 < 3.561.985.6
 ≥ 3.566.995.0
Lactate dehydrogenase, IU/L0.009< 0.001
 Normal67.495.2
 Abnormal50.573.4
Cytogenetic abnormalities0.0180.028
 Standard68.592.1
 Intermediate48.583.3
 High61.581.0
International Staging System0.024
 I74.70.06298.0
 II63.690.3
 III52.583.8
Abnormal inflammatory factors0.004< 0.001
 < 272.198.1
 ≥ 253.381.1
Response before ASCT0.1030.617
 CR or sCR73.092.4
 < CR61.789.2

ASCT, autologous stem cell transplantation; CR, complete response; sCR, stringent complete response.

Figure 2.

The 2-year progression-free survival rate and 2-year overall survival rate were superior in patients with two or more combined abnormal inflammatory factors compared to those with fewer than two (A: 72.1% vs. 53.3%, p = 0.004; B: 98.1% vs. 81.1%, p < 0.001, respectively). The inflammatory factor survival curves in (A) and (B) were more significant than the International Scoring System (ISS) stage survival curves in (C, p = 0.062) and (D, p = 0.024).

Table 3.

Multivariate analysis for survival

VariableProgression-free survival
Overall survival
RR95% CIp valueRR95% CIp value
Hemoglobin, g/dL
 < 10
 ≥ 100.9890.441-2.2230.980
Platelet count, × 109/L
 < 100
 ≥ 1004.7391.897-11.8390.001
Abnormal inflammatory factors
 < 2
 ≥ 20.6180.409-0.9330.0220.2630.113-0.6120.002
Cytogenetic abnormalities
 Standard
 Intermediate0.7370.350-1.5510.4220.7620.216-2.6890.673
 High1.2400.541-2.8420.6111.3470.346-5.2510.668

RR, relative risk; CI, confidence interval.

DISSCUSSION

In this study, various parameters were estimated to identify prognostic factors for survival in patients who were treated with thalidomide-containing chemotherapy and who underwent ASCT. In the univariate analysis, higher β2MG (≥ 3.5 mg/L), abnormal LDH, poor cytogenetic risk, and two or more combined abnormal inflammatory factors were associated with a < 2-year PFS. Lower hemoglobin level (< 10 g/dL), lower platelet count (< 100 × 109/L), higher β2MG (≥ 3.5 mg/L), abnormal LDH, poor cytogenetic risk, higher ISS, and having two or more combined abnormal inflammatory factors were associated with < 2-year OS. Only two or more combined abnormal inflammatory factors was an independent prognostic factor for PFS in the multivariate analysis, and platelet count as well as combined abnormal inflammatory factors were independent prognostic factors for OS. Lower platelet count has been associated previously with a poor prognosis in a study reporting that low platelet count as well as low calcium, LDH, CRP, and performance status were consistent with rapid attrition in such patients due to disease aggressiveness or co-morbidities [25]. In the present study, the combined abnormal inflammatory factors included LDH, β2MG, albumin, and ALC. The reason for including albumin and ALC, which did not show significant results in the univariate analysis, was that the purpose of this study was not to show correlations between individual inflammatory factors and prognosis or to create a new prognostic index but to determine if there was an association between a number of combined inflammatory parameters and prognosis for survival. We demonstrated that having two or more combined abnormal inflammatory factors was correlated with short survival. These results suggest that patients with MM who have multiple combined inflammatory factors may show a poor prognosis. Some studies have reported mechanisms that may explain why inflammatory factors are associated with prognosis. Low serum albumin level has also been associated with advanced age and poor performance status, which are known poor prognostic factors in patients with MM [26]. Serum albumin level was previously shown to negatively correlate with serum interleukin 6 (IL-6) levels and reflects IL-6 effects on the liver, indicating its role as a potent myeloma cell growth factor in vitro [26]. Serum IL-6 level is also correlated with disease severity in patients with plasma cell dyscrasias [27]. Serum soluble IL-6 receptor (sIL-6R) level is correlated with β2MG, CRP, ferritin, and LDH concentrations and is believed to be correlated with the duration of disease-free survival [28,29]. Therefore, patients with two or more combined inflammatory factors who were treated with thalidomide induction chemotherapy and who underwent ASCT showed significantly shorter survival than patients with fewer than two combined inflammatory factors. These results might be helpful for predicting prognosis in patients with MM. However, the ORR before ASCT in this study was higher compared to those of other studies, including patients treated with thalidomide. This is likely because most hematologists consider ASCT only after patients achieve a response greater than PR in South Korea. Moreover, this study had some limitations including the fact that CRP, ferritin, and other cytokines, such as IL-6 and sIL-6R, which were regarded as inflammatory factors, were not analyzed independently because of insufficient retrospective data. Therefore, further prospective studies are needed to confirm the correlations between prognosis and these inflammatory factors in transplantation-eligible or -ineligible patients with MM treated with novel agents, such as thalidomide, bortezomib, or lenalidomide. 1. Serologic inflammatory markers have been reported to be correlated with the prognosis of patients with multiple myeloma. 2. The inflammatory markers were independent prognostic factors for progression-free survival and overall survival in patients who were treated with thalidomide induction chemotherapy and who underwent autologous stem cell transplantation.
  29 in total

1.  Prognostic value of serum free light chain ratio at diagnosis in multiple myeloma.

Authors:  Marie-Christine Kyrtsonis; Theodoros P Vassilakopoulos; Nicoletta Kafasi; Sotirios Sachanas; Tatiana Tzenou; Argiroula Papadogiannis; Zacharoula Galanis; Christina Kalpadakis; Maria Dimou; Elias Kyriakou; Maria K Angelopoulou; Maria N Dimopoulou; Marina P Siakantaris; Evangelia M Dimitriadou; Styliani I Kokoris; Panayiotis Panayiotidis; Gerassimos A Pangalis
Journal:  Br J Haematol       Date:  2007-05       Impact factor: 6.998

2.  International staging system for multiple myeloma.

Authors:  Philip R Greipp; Jesus San Miguel; Brian G M Durie; John J Crowley; Bart Barlogie; Joan Bladé; Mario Boccadoro; J Anthony Child; Herve Avet-Loiseau; Jean-Luc Harousseau; Robert A Kyle; Juan J Lahuerta; Heinz Ludwig; Gareth Morgan; Raymond Powles; Kazuyuki Shimizu; Chaim Shustik; Pieter Sonneveld; Patrizia Tosi; Ingemar Turesson; Jan Westin
Journal:  J Clin Oncol       Date:  2005-04-04       Impact factor: 44.544

3.  C-reactive protein and beta-2 microglobulin produce a simple and powerful myeloma staging system.

Authors:  R Bataille; M Boccadoro; B Klein; B Durie; A Pileri
Journal:  Blood       Date:  1992-08-01       Impact factor: 22.113

4.  Serum levels of soluble IL-6 receptor in multiple myeloma as indicator of disease activity.

Authors:  H Papadaki; D Kyriakou; A Foudoulakis; F Markidou; M Alexandrakis; G D Eliopoulos
Journal:  Acta Haematol       Date:  1997       Impact factor: 2.195

5.  Serum levels of interleukin 6, a potent myeloma cell growth factor, as a reflect of disease severity in plasma cell dyscrasias.

Authors:  R Bataille; M Jourdan; X G Zhang; B Klein
Journal:  J Clin Invest       Date:  1989-12       Impact factor: 14.808

Review 6.  A review of the cytokine network in multiple myeloma: diagnostic, prognostic, and therapeutic implications.

Authors:  Vito Michele Lauta
Journal:  Cancer       Date:  2003-05-15       Impact factor: 6.860

7.  Thalidomide in induction treatment increases the very good partial response rate before and after high-dose therapy in previously untreated multiple myeloma.

Authors:  Henk M Lokhorst; Ingo Schmidt-Wolf; Pieter Sonneveld; Bronno van der Holt; Hans Martin; Rene Barge; Uta Bertsch; Jana Schlenzka; Gerard M J Bos; Sandra Croockewit; Sonja Zweegman; Iris Breitkreutz; Iris Breitkreuz; Peter Joosten; Christof Scheid; Marinus van Marwijk-Kooy; Hans-Juergen Salwender; Marinus H J van Oers; Ron Schaafsma; Ralph Naumann; Harm Sinnige; Igor Blau; Michel Delforge; Gregor Verhoef; Okke de Weerdt; Pierre Wijermans; Shulamiet Wittebol; Ulrich Duersen; Edo Vellenga; Hartmut Goldschmidt
Journal:  Haematologica       Date:  2008-01       Impact factor: 9.941

8.  Ferritin as prognostic marker in multiple myeloma patients undergoing autologous transplantation.

Authors:  Kathrin Strasser-Weippl; Heinz Ludwig
Journal:  Leuk Lymphoma       Date:  2014-03-18

9.  Lactate dehydrogenase and its isoenzymes in serum from patients with multiple myeloma.

Authors:  S Copur; S Kus; A Kars; N Renda; G Tekuzman; D Firat
Journal:  Clin Chem       Date:  1989-09       Impact factor: 8.327

Review 10.  Thalidomide for treatment of multiple myeloma: 10 years later.

Authors:  Antonio Palumbo; Thierry Facon; Pieter Sonneveld; Joan Bladè; Massimo Offidani; Francesca Gay; Philippe Moreau; Anders Waage; Andrew Spencer; Heinz Ludwig; Mario Boccadoro; Jean-Luc Harousseau
Journal:  Blood       Date:  2008-02-01       Impact factor: 22.113

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  1 in total

Review 1.  Recent advances in multiple myeloma: a Korean perspective.

Authors:  Junshik Hong; Jae Hoon Lee
Journal:  Korean J Intern Med       Date:  2016-09-01       Impact factor: 2.884

  1 in total

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