Multiple myeloma (MM) is the most common hematologic malignancy in blacks. Some prior studies suggest inferior survival in blacks; others suggest similar survival. Using the original 9 Surveillance, Epidemiology, and End Results registries, we conducted a large-scale population-based study including 5798 black and 28 939 white MM patients diagnosed 1973-2005, followed through 2006. Age-adjusted incidence rates, disease-specific survival, and relative survival rates were calculated by race, age, and time period of diagnosis. Mean age at diagnosis was 65.8 and 69.8 years for blacks and whites, respectively (P < .001). Incidence among blacks was m twice that among whites; this disparity was greater among patients < 50 years (P = .002). Over the entire study period, disease-specific and relative survival rates were higher in blacks than whites (P < .001). For whites, 5-year relative survival rates increased significantly 1973-1993 to 1994-1998 (26.3% to 30.8%; P < .001) and 1994-1998 to 1999-2005 (30.8% to 35.0%; P = .004). Survival improvements among blacks were smaller and nonsignificant (1973-1993 to 1999-2005: 31.0% to 34.1%; P = .07). We found (1) a younger age of onset among blacks; (2) better survival in blacks 1973-2005; and (3) significant survival improvement among whites over time, with smaller, nonsignificant change seen among blacks, possibly due to unequal access to and/or disparate responsiveness to novel therapies.

Multiple myeloma (MM) is the most common hematologic malignancy among blacks in the US and the second most common hematologic malignancy in the country.1,2  M 20 000 new cases are diagnosed annually.1,2  MM is characterized by clonal expansion of plasma cells. Classic clinical manifestations include hypercalcemia, renal failure, anemia, and lytic bone lesions as well as recurrent bacterial infections and extramedullary soft-tissue plasmacytomas.3,4  Recent data show that MM is consistently preceded by monoclonal gammopathy of undetermined significance (MGUS).5,6  Compared with whites, MGUS has been noted to occur twice as frequently in blacks, with similar transformation rates in blacks and whites.7-10  Although the etiology of MM remains unclear, observed racial disparity patterns and reported familial clustering in MGUS and MM suggest a role for susceptibility genes.11,12 

There have been few published descriptive studies of MM incidence and survival by race. Prior data from the Statistics, Epidemiology, and End Results (SEER) program and the Multiple Risk Factor Intervention Trial have shown consistently higher incidence and mortality among blacks.13,14  However, mortality reflects the combined impact of cancer incidence and outcome, whereas survival is a measure of cancer outcome separate from incidence. A prior single-center study found poorer survival among 52 patients with MM at a predominantly black hospital compared with 92 patients at a predominantly white hospital; however, this difference did not persist when adjusted for socioeconomic status.15  Similarly, a single-institution review of records for 292 patients with MM found that neither race nor socioeconomic status independently related to overall survival.16  Retrospective data from the Southwest Oncology Group showed comparable outcomes among blacks and whites before the advent of autologous stem cell transplantation (ASCT).17  A recent study of 91 patients receiving ASCT in an equal access health system observed no difference in survival by race18  a registry study by the Center for International Bone Marrow Transplantation confirmed this finding.19 

Four population-based studies20-23  have demonstrated improved survival in MM after the advent of novel therapies such as ASCT (1994),24-26  immunomodulatory drugs (IMiDs; 1999),27-30  and bortezomib (2003).31,32  None of these studies assessed the impact of new treatments on survival by race. To address racial disparities in MM incidence and survival patterns, we have conducted the first large-scale, population-based study to specifically assess differences in incidence and survival patterns in MM among blacks and whites in the US.

All data were obtained from the original 9 registries of the NCI SEER program (Atlanta, Connecticut, Detroit, Hawaii, Iowa, New Mexico, San Francisco-Oakland, CA, Seattle-Puget Sound, WA, and Utah), based on the November 2009 submission.33  These 9 registries include approximately 10% of the US population. Cases were diagnosed from January 1973 through December 2005, with follow-up of vital status through 2006.

MM was defined using International Classification of Disease for Oncology, 3rd Edition (ICD-O-3) topographic (C42.1) and morphologic (9732/3) codes.34  Data on year of diagnosis, race, age, and sex were available for each case. Patients were divided into age groups and periods of diagnosis based on advances in MM diagnosis and treatment (Figure 1).4,24-33,35-37  Patients were stratified by age above/below 70 years, based on the fact that ASCT is not usually performed on patients above the age of 70.38 

Figure 1

Advances in the diagnosis and treatment of MM.

Figure 1

Advances in the diagnosis and treatment of MM.

Close modal

Statistical analysis

Incidence rates (age-adjusted using the 2000 US standard) and corresponding 95% confidence intervals (CIs) were calculated using SEER*Stat (version 6.6.2; 2010). Frequency distributions and age-specific incidence curves with log-linear scales were constructed and plotted as previously reported.39,40 

The SEER data also were accessed in ASCII format and analyzed using the Kaplan-Meier method and log-rank test to assess for racial differences in cumulative disease-specific survival as obtained from death certificates reviewed by SEER abstracters.41  In parallel, to account for changing patterns of survival due to all causes of death in the general population over the study period, relative survival rates (RSRs) were computed using the actuarial method in SEER*Stat. All survival calculations included patients diagnosed from January 1973 to December 2005 and followed through December 2006. RSRs, defined as the ratio of the patients' observed survival to the expected survival of a similar group from the general population, measure the reduced survival associated with a diagnosis of MM. Importantly, accurate classification of cause of death is not required to determine RSRs and both direct and indirect causes of death are included. Comparisons of RSRs were based on the method of Brown.42  All statistical tests are 2-sided, with P < .05 considered statistically significant.

Incidence

From 1973-2005, 5798 black and 28 939 white patients were diagnosed with MM (Table 1). The age-adjusted MM incidence rates were 11.0 and 4.9 per 100 000 person-years for blacks and whites, respectively (P < .001). This 2-3× higher incidence in blacks was consistent over time (Table 1). MM incidence rates rose slightly for both races from the 1970s to the 1990s before flattening in recent years. For both blacks and whites, incidence rates among males were approximately 50% higher than for females of each race; however, the black:white incidence rate ratio was somewhat higher among females (2.40) than males (2.16).

Table 1

MM patient characteristics and incidence patterns

Blacks
Whites
Black:white rate ratio
n (%)Incidence (95% CI)n (%)Incidence (95% CI)
Total 5798 (100) 11.0 (10.7-11.3) 28 939 (100) 4.9 (4.8-4.9) 2.25 
Sex      
    Male 2883 (50) 13.2 (12.7-13.7) 15 255 (53) 6.1 (6.0-6.2) 2.16 
    Female 2915 (50) 9.6 (9.2-9.9) 13 684 (47) 4.0 (3.9-4.1) 2.40 
Year of MM diagnosis      
    1973-1979 744 (13) 10.1 (9.3-10.9) 4536 (15) 4.5 (4.4-4.6) 2.24 
    1980-1986 1048 (18) 10.9 (10.3-11.7) 5424 (19) 4.7 (4.6-4.8) 2.32 
    1987-1993 1244 (21) 11.2 (10.5-11.8) 6384 (22) 5.0 (4.9-5.1) 2.24 
    1994-1998 1097 (19) 11.9 (11.2-12.7) 5074 (18) 5.1 (5.0-5.3) 2.33 
    1999-2005 1665 (29) 11.0 (10.5-11.6) 7521 (26) 5.0 (4.9-5.1) 2.20 
Age, y      
    < 50 633 (11) 1.2 (1.1-1.3) 1629 (5) 0.4 (0.4-0.4) 3.00 
    50-69 2787 (48) 24.0 (23.1-24.8) 11 490 (40) 9.7 (9.5-9.9) 2.47 
    ≥ 70 2378 (41) 62.2 (59.7-64.7) 15 820 (55) 30.4 (29.9-30.8) 2.05 
Median age, y (interquartile range) 66 (56-74) 70 (61-78)  
Blacks
Whites
Black:white rate ratio
n (%)Incidence (95% CI)n (%)Incidence (95% CI)
Total 5798 (100) 11.0 (10.7-11.3) 28 939 (100) 4.9 (4.8-4.9) 2.25 
Sex      
    Male 2883 (50) 13.2 (12.7-13.7) 15 255 (53) 6.1 (6.0-6.2) 2.16 
    Female 2915 (50) 9.6 (9.2-9.9) 13 684 (47) 4.0 (3.9-4.1) 2.40 
Year of MM diagnosis      
    1973-1979 744 (13) 10.1 (9.3-10.9) 4536 (15) 4.5 (4.4-4.6) 2.24 
    1980-1986 1048 (18) 10.9 (10.3-11.7) 5424 (19) 4.7 (4.6-4.8) 2.32 
    1987-1993 1244 (21) 11.2 (10.5-11.8) 6384 (22) 5.0 (4.9-5.1) 2.24 
    1994-1998 1097 (19) 11.9 (11.2-12.7) 5074 (18) 5.1 (5.0-5.3) 2.33 
    1999-2005 1665 (29) 11.0 (10.5-11.6) 7521 (26) 5.0 (4.9-5.1) 2.20 
Age, y      
    < 50 633 (11) 1.2 (1.1-1.3) 1629 (5) 0.4 (0.4-0.4) 3.00 
    50-69 2787 (48) 24.0 (23.1-24.8) 11 490 (40) 9.7 (9.5-9.9) 2.47 
    ≥ 70 2378 (41) 62.2 (59.7-64.7) 15 820 (55) 30.4 (29.9-30.8) 2.05 
Median age, y (interquartile range) 66 (56-74) 70 (61-78)  

Patients diagnosed 1973-2005 (SEER-9). All incidence rates are per 100 000 person-years and adjusted using the 2000 US population standard. The present study defined multiple myeloma cases ICD-O-3 codes 9732/3, which includes only cases coded as MM. However, the annually published SEER Cancer Statistics Review uses the Site and Morphology code for “Myeloma,” which includes a biologically and clinically heterogeneous group of plasma cell disorders including MM, solitary plasmacytoma, and plasma cell leukemia.

Age distributions and age-specific incidence rates varied by race (Figure 2A-C). The median age at diagnosis was 66 years in blacks and 70 years in whites (Figure 2A), and the mean age at diagnosis was 65.8 years in blacks and 69.8 years in whites (P < .001). To explore whether this difference was a reflection of shorter life-span in blacks, age-specific incidence curves were plotted (Figure 2B). Rates rose exponentially with age and were consistently higher among blacks than whites. Moreover, the black:white incidence rate-ratio decreased with age from > 3:1 among patients < 50 years old to approximately 2:1 in patients ≥ 70 years old (P = .002; Figure 2C).

Figure 2

Incidence patterns of MM by race and age, 1973-2005 (SEER-9).

Figure 2

Incidence patterns of MM by race and age, 1973-2005 (SEER-9).

Close modal

Survival

For patients diagnosed 1973-2005, survival rates were consistently higher for blacks than for whites (Figure 3A). Disease-specific survival decreased with age among patients of both races (Figure 3B-D). Notably, there was no racial survival disparity among blacks and whites ages < 50 years (P = .63; Figure 3B). In contrast, 5-year disease-specific survival was significantly greater among blacks than whites ages 50-69 years (41.6% vs 37.4%; P < .001) and ages ≥ 70 years (31.1% vs 25.9%; P < .001; Figure 3C-D). In parallel with the cumulative disease-specific survival analysis, we calculated RSR estimates. Both methods showed similar race-related survival disparities, though RSR differences were less pronounced between blacks and whites ages 50-69 years (34.7% vs 33.2%; P = .051) and ≥ 70 years (23.6% vs 21.3%; P = .004).

Figure 3

Disease-specific survival 1973-2005 (SEER-9), by race and age group.

Figure 3

Disease-specific survival 1973-2005 (SEER-9), by race and age group.

Close modal

Changes in 5-year RSRs for blacks and whites before/after 1994 and 1999 (chosen based on the years that ASCT and thalidomide were introduced, respectively; see Figure 1) were compared (Figure 4). Among whites, 5-year RSR improved significantly over the 3 time periods 1973-1993, 1994-1998, and 1999-2005 for all ages (from 26.3% to 30.8%, and to 35.0%; P < .001 and P = .004, respectively), especially among patients aged < 70 years (from 31.2% to 37.3%, and to 44.6%; P < .001 for both changes). In addition, significant survival improvement was observed among whites ≥ 70 years old from 1973-1993 to 1994-1998 (19.8% to 23.3%; P < .001) but not later. Further analysis by age revealed that RSR significantly improved in whites up to 85 years of age (P < .001), with most improvement seen in whites 70-74 years (data not shown). In contrast, smaller improvements in 5-year RSR were suggested among blacks from 1973-1993, 1994-1998, and 1999-2005 (31.0%, 33.0%, and 34.1%, respectively), especially among younger patients, but they were less pronounced than those observed among whites and did not reach statistical significance. However, improvement among blacks < 70 years of age from 34.3% (1973-1993) to 40.4% (1999-2005) reached statistical significance (P = .007), the magnitude of which was less than 50% that for whites.

Figure 4

Five-year RSRs by race and age group (SEER-9). *P < .05; **P < .01; ***P < .001; and –, P ≥ .05.

Figure 4

Five-year RSRs by race and age group (SEER-9). *P < .05; **P < .01; ***P < .001; and –, P ≥ .05.

Close modal

Survival rates varied markedly with age at diagnosis with changing racial patterns in recent years. Figure 5 illustrates higher 5-year RSR among blacks across all age groups for patients diagnosed 1973-1993. By 1994-2005, RSRs had improved dramatically among all but the oldest patients, with much more pronounced improvement in RSRs among whites compared with blacks at ages < 70 years.

Figure 5

Age-specific 5-year RSRs before and after 1994 (novel therapies), by race.

Figure 5

Age-specific 5-year RSRs before and after 1994 (novel therapies), by race.

Close modal

We have conducted the largest population-based study specifically examining disparities in MM incidence and outcome by race, elucidating 3 novel findings: (1) blacks have a 4 year younger age of onset than whites; (2) over the entire study period, disease-specific survival was greater for blacks than whites; and (3) over time, survival improvement was much less pronounced among blacks than whites.

At this time, the underlying causes of MM remain elusive. Previous reports of familial clustering of MM and MGUS,11,12  substantially higher incidence of MM in blacks compared with whites even when accounting for socioeconomic status,14,43,44  an earlier increase in age-specific incidence rates among blacks,44  and our observed earlier age of MM onset in blacks may suggest a role for susceptibility genes in the process of myelomagenesis.

The better survival outcomes seen among black MM patients compared with whites is a novel finding rarely seen in malignancy,45  suggestive of disease heterogeneity by race. Concurrently, a mortality in blacks 2× higher than that in whites has been previously reported from the SEER registries.13,18  However, it is important to note that mortality, a measure of the frequency of deaths, is partially dependent on incidence, whereas survival is not; higher mortality is observed in blacks because MM is more common, regardless of better outcomes. Our finding of longer survival among blacks may suggest that biologically indolent subtypes of MM could be more common among blacks than whites. Molecular studies by race are needed to elucidate potential underlying molecular mechanisms of our findings. Ultimately, such studies may facilitate the development of personalized management and treatment for MM.

Four prior studies of predominantly white populations have found that MM patients, especially those < 70 years of age who are the best candidates for aggressive therapy, have experienced significantly improved survival after the introduction of ASCT and IMiDs in the 1990s.20-23  Strikingly, we have found that the magnitude of survival improvement among blacks was less than 50% that seen in whites. This suggests that blacks may not have had the same access to new therapies as whites, consistent with previous reports that blacks are 50% less likely than whites to undergo ASCT,46  while other studies have reported blacks and whites to have similar outcomes with ASCT.18,19  Likewise, a SEER Medicare-based study found that among MM patients ≥ 65 years of age, blacks were less likely than whites to receive chemotherapy.47  Based on small numbers, we attempted to separately assess changes in survival after the introduction of ASCT and novel drugs. We found improved survival among whites < 70 years old diagnosed before/after 1994 and 1999, suggesting that ASCT and novel drugs, respectively, may have had a role in improving survival. Meanwhile, no clear benefit was seen among blacks after the introduction of either modality. Although our study did not include information regarding treatment for individual patients, based on our results, we hypothesize that the previously reported lack of access to ASCT46  may extend to novel drugs. The consistent black:white incidence rate ratios over time does not indicate that this disparity in survival improvement resulted from earlier diagnosis in whites. As an alternative explanation, one might speculate that blacks perhaps have more indolent disease which in turn may have a poorer response to therapy, or there may be a combination of these effects.

In addition, we have, for the first time, found significantly improved survival among whites ≥ 70 years old from 1973-1993 to 1994-1998. Future studies are needed to better define the survival impact of novel therapies and gradual improvements in supportive care for the elderly. Regardless, comparable improved survival over time was not seen among blacks ≥ 70 years old.

The strengths of our study include the population-based design, very large sample size, geographic, socioeconomic, and racial diversity present in the SEER registries, and rigorously evaluated data, allowing for > 98% case ascertainment for hematologic malignancies.47  In addition, we demonstrated consistent racial disparity patterns using parallel statistical methods, strengthening our observations. We chose to present disease-specific survival curves because these are common in the clinical literature. As expected, racial disparities observed using RSR were less pronounced given that blacks have more comorbidities42  and RSRs provide the mathematical risk estimates without requiring determination of cause of death. Our study is limited by the lack of specific clinical data regarding diagnosis and treatment. In addition, the inaccessibility of tumor tissue and serum samples in patients included in our study precludes an analysis of prognostic markers or gene-expression derived disease subtypes by race.48  Lack of sufficient follow-up time after the introduction of IMiDs and bortezomib prevented complete assessment of the impact of these agents separately on survival in the population. Future studies including longer follow-up data in the era of novel drugs, especially those regimens tailored for the elderly,30  are needed.

In summary, our findings are consistent with a genetic basis for myelomagenesis, either at development of MM or earlier at the level of precursor disease conferring greater susceptibility to developing MM and may suggest that blacks have different disease biology than whites. Future research is needed to explore potential molecular underpinnings of observed racial differences. The realization that the previously reported improved survival after the advent of novel MM therapies primarily reflects improvements among whites raises serious concerns regarding a potential lack of access to newer treatments among blacks in the US. These facts further emphasize the need to effectively translate efficacious treatments to patients regardless of race.

The publication costs of this article were defrayed in part by page charge payment. Therefore, and solely to indicate this fact, this article is hereby marked “advertisement” in accordance with 18 USC section 1734.

This work was supported by the Intramural Research Program of the NCI of the National Institutes of Health (NIH).

National Institutes of Health

Contribution: A.J.W., S.S.D., W.F.A., K.A.M., and O.L. oversaw all aspects of the study and participated in the study conception and design; A.J.W., S.S.D., W.F.A., and K.A.M. were responsible for the statistical analysis and take responsibility for the accuracy of the data analysis; A.J.W., P.J.M., S.S.D., W.F.A., B.M.W., S.Y.K., K.A.M., and O.L. interpreted the data and made important intellectual contributions to the manuscript; A.J.W. and O.L. drafted the manuscript, managed all revisions to the manuscript, and obtained funding for the study; and all authors had full access to all the data in the study, had final responsibility for the decision to submit the article for publication, and read, gave comments, and approved the final version of the manuscript.

Conflict-of-interest disclosure: The authors declare no competing financial interests. A.J.W. is a member of the NIH Clinical Research Training Program, which is funded jointly by the NIH and the Foundation for NIH (in part by a grant from Pfizer Inc).

Correspondence: Ola Landgren, National Cancer Institute, National Institutes of Health, Center for Cancer Research, Medical Oncology Branch, 9000 Rockville Pike, Bldg 10/Rm 13N240, Bethesda, MD, 20892; e-mail: landgreo@mail.nih.gov.

1
Benjamin
 
M
Reddy
 
S
Brawley
 
OW
Myeloma and race: a review of the literature.
Cancer Metastasis Rev
2003
, vol. 
22
 
1
(pg. 
87
-
93
)
2
Jemal
 
A
Siegel
 
R
Ward
 
E
Hao
 
Y
Xu
 
J
Thun
 
M
Cancer statistics, 2009.
CA Cancer J Clin
2009
, vol. 
59
 (pg. 
225
-
249
)
3
Criteria for the classification of monoclonal gammopathies, multiple myeloma and related disorders: a report of the International Myeloma Working Group.
Br J Haematol
2003
, vol. 
121
 
5
(pg. 
749
-
757
)
4
Kyle
 
RA
Rajkumar
 
SV
Multiple myeloma.
N Engl J Med
2004
, vol. 
351
 
18
(pg. 
1860
-
1873
)
5
Landgren
 
O
Kyle
 
RA
Pfeiffer
 
RM
et al. 
Monoclonal gammopathy of undetermined significance (MGUS) consistently precedes multiple myeloma: a prospective study.
Blood
2009
, vol. 
113
 
22
(pg. 
5412
-
5417
)
6
Weiss
 
BM
Abadie
 
J
Verma
 
P
Howard
 
RS
Kuehl
 
WM
A monoclonal gammopathy precedes multiple myeloma in most patients.
Blood
2009
, vol. 
113
 
22
(pg. 
5418
-
5422
)
7
Kyle
 
RA
Therneau
 
TM
Rajkumar
 
SV
et al. 
Prevalence of monoclonal gammopathy of undetermined significance.
N Engl J Med
2006
, vol. 
354
 
13
(pg. 
1362
-
1369
)
8
Landgren
 
O
Katzmann
 
JA
Hsing
 
AW
et al. 
Prevalence of monoclonal gammopathy of undetermined significance among men in Ghana.
Mayo Clin Proc
2007
, vol. 
82
 
12
(pg. 
1468
-
1473
)
9
Landgren
 
O
Gridley
 
G
Turesson
 
I
et al. 
Risk of monoclonal gammopathy of undetermined significance (MGUS) and subsequent multiple myeloma among African American and white veterans in the United States.
Blood
2006
, vol. 
107
 
3
(pg. 
904
-
906
)
10
Konstantinopoulos
 
PA
Pantanowitz
 
L
Dezube
 
BJ
Higher prevalence of monoclonal gammopathy of undetermined significance in African Americans than whites–the unknown role of underlying HIV infection.
J Natl Med Assoc
2006
, vol. 
98
 
11
(pg. 
1860
-
1861
)
11
Kristinsson
 
SY
Bjorkholm
 
M
Goldin
 
LR
et al. 
Patterns of hematologic malignancies and solid tumors among 37,838 first-degree relatives of 13,896 patients with multiple myeloma in Sweden.
Int J Cancer
2009
, vol. 
125
 
9
(pg. 
2147
-
2150
)
12
Landgren
 
O
Kristinsson
 
SY
Goldin
 
LR
et al. 
Risk of plasma cell and lymphoproliferative disorders among 14621 first-degree relatives of 4458 patients with monoclonal gammopathy of undetermined significance in Sweden.
Blood
2009
, vol. 
114
 
4
(pg. 
791
-
795
)
13
Altekruse
 
SF
Kosary
 
CL
Krapcho
 
M
et al. 
SEER Cancer Statistics Review, 1975-2007
2010
Bethesda, MD
National Cancer Institute
14
Davey Smith
 
G
Neaton
 
JD
Wentworth
 
D
Stamler
 
R
Stamler
 
J
Mortality differences between black and white men in the USA: contribution of income and other risk factors among men screened for the MRFIT. MRFIT Research Group. Multiple Risk Factor Intervention Trial.
Lancet
1998
, vol. 
351
 
9107
(pg. 
934
-
939
)
15
Savage
 
D
Lindenbaum
 
J
Van Ryzin
 
J
Struening
 
E
Garrett
 
TJ
Race, poverty, and survival in multiple myeloma.
Cancer
1984
, vol. 
54
 
12
(pg. 
3085
-
3094
)
16
Abou-Jawde
 
RM
Baz
 
R
Walker
 
E
et al. 
The role of race, socioeconomic status, and distance traveled on the outcome of African-American patients with multiple myeloma.
Haematologica
2006
, vol. 
91
 
10
(pg. 
1410
-
1413
)
17
Modiano
 
MR
Villar-Werstler
 
P
Crowley
 
J
Salmon
 
SE
Evaluation of race as a prognostic factor in multiple myeloma. An ancillary of Southwest Oncology Group Study 8229.
J Clin Oncol
1996
, vol. 
14
 
3
(pg. 
974
-
977
)
18
Verma
 
PS
Howard
 
RS
Weiss
 
BM
The impact of race on outcomes of autologous transplantation in patients with multiple myeloma.
Am J Hematol
2008
, vol. 
83
 
5
(pg. 
355
-
358
)
19
Hari
 
PN
Majhail
 
NS
Zhang
 
MJ
et al. 
Race and Outcomes of Autologous Hematopoietic Cell Transplantation for Multiple Myeloma.
Biol Blood Marrow Transplant
2010
, vol. 
16
 
3
(pg. 
395
-
402
)
20
Kristinsson
 
SY
Landgren
 
O
Dickman
 
PW
Derolf
 
AR
Bjorkholm
 
M
Patterns of survival in multiple myeloma: a population-based study of patients diagnosed in Sweden from 1973 to 2003.
J Clin Oncol
2007
, vol. 
25
 
15
(pg. 
1993
-
1999
)
21
Turesson
 
I
Velez
 
R
Kristinsson
 
SY
Landgren
 
O
Patterns of improved survival in patients with multiple myeloma in the twenty-first century: a population-based study.
J Clin Oncol
2010
, vol. 
28
 
5
(pg. 
830
-
834
)
22
Kumar
 
SK
Rajkumar
 
SV
Dispenzieri
 
A
et al. 
Improved survival in multiple myeloma and the impact of novel therapies.
Blood
2008
, vol. 
111
 
5
(pg. 
2516
-
2520
)
23
Brenner
 
H
Gondos
 
A
Pulte
 
D
Recent major improvement in long-term survival of younger patients with multiple myeloma.
Blood
2008
, vol. 
111
 
5
(pg. 
2521
-
2526
)
24
Vesole
 
DH
Barlogie
 
B
Jagannath
 
S
et al. 
High-dose therapy for refractory multiple myeloma: improved prognosis with better supportive care and double transplants.
Blood
1994
, vol. 
84
 
3
(pg. 
950
-
956
)
25
Attal
 
M
Harousseau
 
JL
Stoppa
 
AM
et al. 
A prospective, randomized trial of autologous bone marrow transplantation and chemotherapy in multiple myeloma. Intergroupe Francais du Myelome.
N Engl J Med
1996
, vol. 
335
 
2
(pg. 
91
-
97
)
26
Attal
 
M
Harousseau
 
JL
Facon
 
T
et al. 
Single versus double autologous stem-cell transplantation for multiple myeloma.
N Engl J Med
2003
, vol. 
349
 
26
(pg. 
2495
-
2502
)
27
Singhal
 
S
Mehta
 
J
Desikan
 
R
et al. 
Antitumor activity of thalidomide in refractory multiple myeloma.
N Engl J Med
1999
, vol. 
341
 
21
(pg. 
1565
-
1571
)
28
Rajkumar
 
SV
Hayman
 
S
Gertz
 
MA
et al. 
Combination therapy with thalidomide plus dexamethasone for newly diagnosed myeloma.
J Clin Oncol
2002
, vol. 
20
 
21
(pg. 
4319
-
4323
)
29
Dimopoulos
 
M
Spencer
 
A
Attal
 
M
et al. 
Lenalidomide plus dexamethasone for relapsed or refractory multiple myeloma.
N Engl J Med
2007
, vol. 
357
 
21
(pg. 
2123
-
2132
)
30
Rajkumar
 
SV
Jacobus
 
S
Callander
 
NS
et al. 
Lenalidomide plus high-dose dexamethasone versus lenalidomide plus low-dose dexamethasone as initial therapy for newly diagnosed multiple myeloma: an open-label randomised controlled trial.
Lancet Oncol
2010
, vol. 
11
 
1
(pg. 
29
-
37
)
31
Richardson
 
PG
Barlogie
 
B
Berenson
 
J
et al. 
A phase 2 study of bortezomib in relapsed, refractory myeloma.
N Engl J Med
2003
, vol. 
348
 
26
(pg. 
2609
-
2617
)
32
San Miguel
 
JF
Schlag
 
R
Khuageva
 
NK
et al. 
Bortezomib plus melphalan and prednisone for initial treatment of multiple myeloma.
N Engl J Med
2008
, vol. 
359
 
9
(pg. 
906
-
917
)
33
Hankey
 
BF
Ries
 
LA
Edwards
 
BK
The surveillance, epidemiology, and end results program: a national resource.
Cancer Epidemiol Biomarkers Prev
1999
, vol. 
8
 
12
(pg. 
1117
-
1121
)
34
Fritz
 
AG
International classification of diseases for oncology: ICD-O.
2000
3rd ed.
Geneva
World Health Organization
35
Kyle
 
RA
Monoclonal gammopathy of undetermined significance. Natural history in 241 cases.
Am J Med
1978
, vol. 
64
 
5
(pg. 
814
-
826
)
36
Kyle
 
RA
Greipp
 
PR
Smoldering multiple myeloma.
N Engl J Med
1980
, vol. 
302
 
24
(pg. 
1347
-
1349
)
37
Alexanian
 
R
Haut
 
A
Khan
 
AU
et al. 
Treatment for multiple myeloma. Combination chemotherapy with different melphalan dose regimens.
JAMA
1969
, vol. 
208
 
9
(pg. 
1680
-
1685
)
38
Harousseau
 
JL
Moreau
 
P
Autologous hematopoietic stem-cell transplantation for multiple myeloma.
N Engl J Med
2009
, vol. 
360
 
25
(pg. 
2645
-
2654
)
39
Anderson
 
WF
Chu
 
KC
Chatterjee
 
N
Brawley
 
O
Brinton
 
LA
Tumor variants by hormone receptor expression in white patients with node-negative breast cancer from the surveillance, epidemiology, and end results database.
J Clin Oncol
2001
, vol. 
19
 
1
(pg. 
18
-
27
)
40
Devesa
 
SS
Donaldson
 
J
Fears
 
T
Graphical presentation of trends in rates.
Am J Epidemiol
1995
, vol. 
141
 
4
(pg. 
300
-
304
)
41
Kaplan
 
EL
Meier
 
P
Nonparametric-Estimation from Incomplete Observations.
J Am Stat Assoc
1958
, vol. 
53
 
282
(pg. 
457
-
481
)
42
Brown
 
CC
The statistical comparison of relative survival rates.
Biometrics
1983
, vol. 
39
 
4
(pg. 
941
-
948
)
43
McWhorter
 
WP
Schatzkin
 
AG
Horm
 
JW
Brown
 
CC
Contribution of socioeconomic status to black/white differences in cancer incidence.
Cancer
1989
, vol. 
63
 
5
(pg. 
982
-
987
)
44
Gebregziabher
 
M
Bernstein
 
L
Wang
 
Y
Cozen
 
W
Risk patterns of multiple myeloma in Los Angeles County, 1972-1999 (United States).
Cancer Causes Control
2006
, vol. 
17
 
7
(pg. 
931
-
938
)
45
Bach
 
PB
Schrag
 
D
Brawley
 
OW
Galaznik
 
A
Yakren
 
S
Begg
 
CB
Survival of blacks and whites after a cancer diagnosis.
JAMA
2002
, vol. 
287
 
16
(pg. 
2106
-
2113
)
46
StatBite: Multiple myeloma and African Americans: higher incidence but fewer autologous stem cell transplants.
J Natl Cancer Inst
2009
, vol. 
101
 
23
pg. 
1610
 
47
Rohatgi
 
N
Du
 
XL
Coker
 
AL
Moye
 
LA
Wang
 
M
Fang
 
S
Chemotherapy and survival for patients with multiple myeloma: findings from a large nationwide and population-based cohort.
Am J Clin Oncol
2007
, vol. 
30
 
5
(pg. 
540
-
548
)
48
Zhan
 
F
Huang
 
Y
Colla
 
S
et al. 
The molecular classification of multiple myeloma.
Blood
2006
, vol. 
108
 
6
(pg. 
2020
-
2028
)
Sign in via your Institution