Literature DB >> 33629048

Comparative survival analysis using the International Stratification Score (ISS) in newly-diagnosed multiple myeloma in the Uruguayan population.

David Israel Garrido1, Virginia Bove2, Victoria Matosas1, Eloisa Riva1.   

Abstract

BACKGROUND AND AIMS: Multiple myeloma is a frequent hematologic malignancy, in which the International Stratification Score (ISS) is widely used to estimate the overall survival. However, there are no studies in Latin America evaluating its performance. This study aims to describe the ISS performance in the overall survival estimation for newly diagnosed multiple myeloma patients in Uruguay.
METHODS: This is a retrospective registry-based survival analysis through the Grupo Uruguayo de Mieloma Múltiple (GUMMA) database, including newly diagnosed multiple myeloma patients from January 2001 until May 2019.
RESULTS: 249 patients were included, 51.81% males and an average age of 63.49 years. According to ISS and Durie-Salmon score (DSS), 47.79% and 82.3% were ISS III and DSS III, respectively. Also, 32.3% were DSS B. Auto hematopoietic stem cell transplantation was performed in 31.73% of patients, and bortezomib was used in 44.18% as frontline therapy. The overall survival was 80% for ISS1, 64.9% ISS2, and 48.6% ISS3 (Log-Rank; p <0.01). The average overall survival was 116.5 months for ISS 1, 77.6 months for ISS 2, and 57.8 months for ISS 3. The hazard ratio between ISS II and ISS I was 2.42 (95% CI 1.10-5.33; p<0.05), and 3.94 (95% CI 1.88-8.26; p<0.05) between ISS III and ISS II.
CONCLUSION: The ISS staging system allows an adequate stratification of patients according to overall survival in the real-practice setting. However, considering the relevance of the new cytogenetic advances, it is necessary to increase the availability and quality of iFISH in Latin America.

Entities:  

Keywords:  Uruguay; multiple myeloma; survival analysis

Year:  2021        PMID: 33629048      PMCID: PMC7880064          DOI: 10.15386/mpr-1750

Source DB:  PubMed          Journal:  Med Pharm Rep        ISSN: 2602-0807


Background and aims

Multiple myeloma (MM) is a lymphoproliferative disorder characterized by the proliferation of plasma cells and is considered the second most frequent hematologic malignancy [1]. In the western world, the age-standardized incidence rate is around 5 cases per 100,000 population, with a median age at diagnosis of 66 to 70 years [2]. Regarding Uruguay, the reported incidence is 2.1 to 3.5 cases per 100,000 inhabitants [3]. The outcomes of MM patients are variable depending on myeloma cell biology, host factors, and choice of therapy. Therefore, identifying risk factors related to survival is essential for establishing the adequate treatment. In 1975, Durie and Salmon developed the first staging system, bringing together simple clinical parameters and showing its correlation with myeloma cell mass. Novel prognostic parameters have emerged with time. In 2005, an international staging system (ISS) was created to predict survival, establishing three groups according to the levels of serum albumin (< or ≥ 3.5 g/dl) and ß2-microglobulin (< or ≥ 5 mg/L) [4]. Later on, a revised version of the ISS (R-ISS) was published, adding chromosomal abnormalities detected by interphase fluorescent in situ hybridization (iFISH) and serum lactate dehydrogenase (LDH) [4, 5]. This score uses the tumor burden and disease biology, creating a unified prognostic index; however, lack of standardization, limited availability, and cost of iFISH are factors against its widespread use in real practice. A recent report from the Latin American Myeloma Group (GELAMM) focusing on access to diagnostic analysis in 13 countries showed that iFISH was available in only 32% of the public and 67% of private institutions [6]. Also, in most institutions, no plasma cell sorting is done [6]. The ISS score provides useful information to assess the prognosis of newly-diagnosed MM (NDMM) patients in a variety of settings, including age, type of therapy, geographical regions, even in the relapse setting [7]. Its broad applicability makes this score one of the most practical outside clinical trials or reference centers. This study aims to describe the ISS score performance to estimate the overall survival in NDMM patients in Uruguay.

Methods

This was a retrospective registry-based, survival analysis based on the Grupo Uruguayo de Mieloma Múltiple (GUMMA) database, including active NDMM patients from January 2001 until May 2019. Demographic data, disease characteristics, and time from diagnosis to the initiation of treatment, treatment choice, and response to therapy, including overall survival (OS) were analyzed. MM was diagnosed using standard criteria [8], and survival was measured from the onset of non-radiative frontline therapy to the time of death or last contact. In this analysis, patients were included if they had active NDMM, a complete dataset of parameters allowing ISS staging, and relevant parameters for treatment outcomes evaluation. Smoldering MM was excluded.

Statistical analysis

Statistical analysis was done using SPSS v.25 and Excel 2013 for Microsoft Windows. Survival was plotted through the Kaplan-Meier (log-rank) method; p values were considered statistically significant when <0.05 and presented along with confidence intervals (CI). Additionally, the univariate and multivariate analyses were done using Cox regression. Variables included were autologous hematopoietic stem cell transplantation (auto-HSCT), use of Bortezomib, percentage of plasma cells in bone marrow, monoclonal spike, hemoglobin, calcium, Durie-Salmon system (DSS) stage B, and age. Kruskal-Wallis test was used to compare quantitative variables between groups and chi-square was used to compare proportions between groups. Ethics committee’s consent was obtained at each participating center of the Uruguayan Myeloma Registry.

Results

Of the 314 NDMM cases included in the database, 249 met the inclusion criteria. Among them, the average age was 63.44 years, and the majority of patients were male. Distribution of patients according to ISS and DSS groups revealed 47.79% ISS III, 82.3% DSS III, and 32.3% DSS B. Auto-HSCT was performed in 31.73% of patients, and bortezomib was used in 44.18% as frontline therapy. Table I shows the detailed characteristics of the patients.
Table I

Baseline patient characteristics.

χ̄DS
Age (years)63.4411.85
N%
Total249100.00
Female12048.19
Male12951.81
Scoring systems
ISS III11947.79
ISS II8232.93
ISS I4819.28
DS III20582.33
DS II3413.65
DS I104.02
DS A16967.87
DS B8032.13
Clinical characteristics
Age >65 years11746.99
Hemoglobin <8.5 g/dl8433.73
Ca >12 mg/dl239.27
Hemodyalisis requirment*3012.05
IgG Kappa8935.74
IgG Lambda4417.67
IgA Kappa or Lambda5622.49
IgM Kappa or Lambda10.40
LCM Kappa or Lambda5120.48
Non-secretor myeloma41.61
PC ≥60%**5321.29
Treatment
HSCT7931.73
BBR11044.18
Non-BBR13955.82

χ̄, average; SD, standard deviation; ISS, international staging System; DS, Durie-Salmon; LCM, Light chain myeloma; HSCT, Hematopoietic stem cell transplantation; BBR, bortezomib based regimes;

, At diagnosis;

, bone marrow infiltration.

R-ISS was available in only 57 patients (22.89%). Of these, 6 (10.53%), 36 (63.16%), and 15 (26.32%) corresponded to R-ISS I, R-ISS II, and R-ISS III, respectively. Additionally, 11 patients initially classified as ISS III were re-classified as R-ISS II.

Comparison among ISS groups

ISS III group had higher monoclonal component, plasma cells percentage in bone marrow, beta 2 microglobulin, creatinine, and calcium, while hemoglobin and albumin were lower compared with other risk groups. The differences between groups using the Kruskal-Wallis test were statistically significant (p<0.05) (Table II).
Table II

Baseline Patient Characteristics, by ISS group.

ISS IISS IIISS III
N%N%N%
Total4810082100119100
Female2245.833846.346050.42
Male2654.174453.665949.58
DS III3777.086376.8310588.24
DS II918.751315.851210.08
DS I24.1767.3221.68
DS A4491.677085.375546.22*
DS B48.331214.636453.78
HSCT2654.172834.152521.01
BBR1633.332631.716453.78*
Non-BBR3266.675668.295546.22
χ̄SDχ̄SDχ̄SD
Age (years)58.2311.9165.4310.5564.1712.16
Albumin3.990.314.355.343.350.66**
B2m2.480.834.010.9212.0110.56**
PC%28.1324.1234.1222.4742.1823.19**
MC2.111.712.442.173.252.41**
Hb11.112.099.921.798.461.99**
Crea1.070.841.270.973.413.38**
Ca8.821.529.411.2710.192.50**

χ̄, average; SD, standard deviation; ISS, international staging System; DS, Durie-Salmon; LCM, Light chain myeloma; HSCT, Hematopoietic stem cell transplantation; BBR, bortezomib based regimes,

Statistically significant (p<0.05) comparison between proportion through chi-square test,

Statistically significant (p<0.05) comparison between groups through Kruskal-Wallis test.

Survival analysis

At a median follow-up of 34.7 months, 98 patients died (39.36%). The OS was 80% for ISS1, 64.9% ISS2, and 48.6% ISS3 (Log-Rank; p <0.01). The average OS per group was 116.5 months for ISS 1, 77.6 months for ISS 2, and 57.8 months for ISS 3 (Fig. 1). The hazard ratio between ISS II and ISS I was 2.42 (95% CI 1.10–5.33; p<0.05), and 3.94 (95% CI 1.88–8.26; p<0.05) between ISS III and ISS II (Fig 1). In the multivariate analysis, auto-HSCT was the only significant variable associated with OS (Fig. 2).
Figure 1

A) Overall survival comparison using Kaplan-Meier and log-rank test according to ISS groups; B) Cox regression model and hazard ratios estimation according to ISS groups; CI, confidence intervals; HR, Hazard ratios.

Figure 2

Multivariate Cox regression model and significance of the influence of variables in the overall survival according to ISS groups.

Comparison between DSS groups

When the DSS was used to classify NDMM patients, no difference was found in OS between groups DSS I, DSS II, and DSS III using Kaplan Meier analysis (log-rank >0.05). However, we found significant differences in OS when comparing DSS A and B, 86.5 months in DSS A, and 57.0 months in DSS B (log-rank<0.05).

Survival analysis in patients older than 65 years

Patients older than 65 years had a median OS of 57.7 months compared to a median OS of 92.72 months for <65 (log-rank<0.05).

Discussion

Although MM continues to be an incurable disease, novel therapeutic strategies have improved the clinical course and survival [9]. However, biological and clinical characteristics at diagnosis affect the prognosis and determine therapeutic strategies to overcome adverse conditions [10]. Most of our patients were male, around 60 years of age, and diagnosed at an advanced symptomatic stage, a situation similar to those reported in other Latin American countries. In this context, a study that includes Argentina, Brazil, Chile, Mexico, and Peru reported an average age of 60.9 years, 53.1% males, DSS III in 68.9%, and ISS III in 34.2% of patients [11]. Also, in other continents, MM has been diagnosed in advanced stages, such as China, where a study reported DSS III and ISS III in 85.2% and 54.9%, respectively [12]. However, our results contrast with those reported in the US, where 15% of MM patients are below 65 years of age, whereas approximately half of our population belong to this age group. [13]. Nowadays, new diagnostic criteria, including myeloma defining events in asymptomatic patients, allow an earlier diagnosis. Therefore, we expect that in future reports fewer patients would be newly diagnosed at advanced stages of the disease. ISS staging criteria were available in the majority of patients included in the database, showing that this is a widely used score. While Greipp et al. reported median survival of 62, 44, and 29 months for ISS I, ISS II, and ISS III, we have found a median survival of 116.5, 77.6, and 57.8 months for ISS I, ISS II, and ISS III, respectively [4]. This discrepancy can be explained by differences in frontline therapies. In Greipp’s study, frontline therapy was not detailed, with 76% receiving “standard-dose treatment”. This analysis was done between 1981 and 2002, when standard frontline therapy was probably different from current protocols. In our analysis, approximately 44% of patients received Bortezomib as frontline therapy, while no patient received Lenalidomide-based therapy. Since 2011, Bortezomib was provided frontline to NDMM with high-risk cytogenetics abnormalities or renal failure. Nevertheless, as new evidence emerged, Bortezomib has become the standard first-line therapy, whereas Lenalidomide was not available until 2019. A Czech study recently conducted to validate the R-ISS and IMWG scores found that the majority of NDMM patients were DSS III (70.3%) and 26.7% DSS B [14]. Similarly, a Turkish study found that in patients older than 65 years, 21% were ISS I, 37% ISS II and 42% ISS III. Based on DSS, 21% IA, 33.5% IIA, 3.8% IIB, 39% IIIA, 2.87% IIIB [15]. In 2005, a study conducted in a Brazilian cohort of 339 patients, the majority were cataloged as stage II (n=264), and the survival for the groups ISS II and III were 61 and 19 months, while the median survival of ISS I group was not presented [16]. Creatinine and age remain important prognostic factors in MM. This is in line with the results published by Greipp et al [4], who showed that both were powerful predictors of survival, although they were not finally included in the ISS score. Our results suggest that ISS was better at classifying groups according to OS compared to DSS. Similar findings have been reported by Conte et al., who showed a certain superiority of ISS and an impact of DSS B in OS was shown [17].

Study limitations

Our study has limitations, particularly regarding the number of patients, the lack of Lenalidomide as frontline therapy, and the reduced number of patients classified using R-ISS. However, this reflects real-life practice. Another limitation is that this was a retrospective registry-based study. Thus, it is recommended to conduct prospective studies to validate our results.

Conclusion

The ISS staging system is practical, widely available, and allows an adequate stratification of patients according to OS. Creatinine and age remain essential prognostic factors. Also, frontline consolidation with HSCT has an additional impact on survival. Although the prognostic impact of cytogenetic abnormalities is well documented, lack of plasma cell sorting and cost do not make it useful in Latin America as yet.
  13 in total

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Authors:  Antonio Palumbo; Kenneth Anderson
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Review 3.  Multiple myeloma epidemiology and survival: A unique malignancy.

Authors:  Dickran Kazandjian
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4.  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

5.  [Prognostic value of the new international staging system in multiple myeloma. Comparison with Durie-Salmon staging system].

Authors:  Guillermo Conté L; Gastón Figueroa M; Vivianne Lois V; María Elena Cabrera C; Alvaro León R; Hernán García L; Hernán Rojas R
Journal:  Rev Med Chil       Date:  2008-04-30       Impact factor: 0.553

6.  Revised International Staging System for Multiple Myeloma: A Report From International Myeloma Working Group.

Authors:  Antonio Palumbo; Hervé Avet-Loiseau; Stefania Oliva; Henk M Lokhorst; Hartmut Goldschmidt; Laura Rosinol; Paul Richardson; Simona Caltagirone; Juan José Lahuerta; Thierry Facon; Sara Bringhen; Francesca Gay; Michel Attal; Roberto Passera; Andrew Spencer; Massimo Offidani; Shaji Kumar; Pellegrino Musto; Sagar Lonial; Maria T Petrucci; Robert Z Orlowski; Elena Zamagni; Gareth Morgan; Meletios A Dimopoulos; Brian G M Durie; Kenneth C Anderson; Pieter Sonneveld; Jésus San Miguel; Michele Cavo; S Vincent Rajkumar; Philippe Moreau
Journal:  J Clin Oncol       Date:  2015-08-03       Impact factor: 44.544

Review 7.  The Evolution of Prognostic Factors in Multiple Myeloma.

Authors:  Amr Hanbali; Mona Hassanein; Walid Rasheed; Mahmoud Aljurf; Fahad Alsharif
Journal:  Adv Hematol       Date:  2017-02-21

8.  Global Burden of Multiple Myeloma: A Systematic Analysis for the Global Burden of Disease Study 2016.

Authors:  Andrew J Cowan; Christine Allen; Aleksandra Barac; Huda Basaleem; Isabela Bensenor; Maria Paula Curado; Kyle Foreman; Rahul Gupta; James Harvey; H Dean Hosgood; Mihajlo Jakovljevic; Yousef Khader; Shai Linn; Deepesh Lad; Lorenzo Mantovani; Vuong Minh Nong; Ali Mokdad; Mohsen Naghavi; Maarten Postma; Gholamreza Roshandel; Katya Shackelford; Mekonnen Sisay; Cuong Tat Nguyen; Tung Thanh Tran; Bach Tran Xuan; Kingsley Nnanna Ukwaja; Stein Emil Vollset; Elisabete Weiderpass; Edward N Libby; Christina Fitzmaurice
Journal:  JAMA Oncol       Date:  2018-09-01       Impact factor: 31.777

9.  Retrospective analysis of 264 multiple myeloma patients.

Authors:  Chuanying Geng; Nian Liu; Guangzhong Yang; Aijun Liu; Yun Leng; Huijuan Wang; Lihong Li; Yin Wu; Yanchen Li; Wenming Chen
Journal:  Oncol Lett       Date:  2012-11-09       Impact factor: 2.967

10.  Validation of multiple myeloma risk stratification indices in routine clinical practice: Analysis of data from the Czech Myeloma Group Registry of Monoclonal Gammopathies.

Authors:  Jakub Radocha; Vladimír Maisnar; Luděk Pour; Ivan Špička; Jiři Minařík; Lenka Szeligová; Petr Pavlíček; Alexandra Jungová; Marta Krejčí; Tomáš Pika; Jan Straub; Lucie Brožová; Lukáš Stejskal; Adriana Heindorfer; Pavel Jindra; Petr Kessler; Peter Mikula; Michal Sýkora; Marek Wróbel; Jiří Jarkovský; Roman Hájek
Journal:  Cancer Med       Date:  2018-06-21       Impact factor: 4.452

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