Abstract 2478

Poster Board II-455

Background:

It is estimated that Asian Indian and Pakistani (AIP) comprises about 1.5% of the total US population and is rapidly growing. Hematological malignancies account for about 15% of all the cancers diagnosed in this group. The aim of this study is to analyze epidemiologic and survival parameters of common hematological malignancies in AIP living in the USA and compare it to the US White (USW) population for the first time.

Methods:

The SEER (Surveillance Epidemiology and End results) database has been reporting cancer incidence since 1973. AIP with cancer diagnosis was reported separately under race and ethnicity in SEER database from 1988. Using SEER database 1988-2006, appropriate frequency and survival sessions (Kaplan-Meier survival method) were performed and epidemiologic characteristics for common hematological malignancies were compared between AIP and USW.

Results:
Table 1:

Epidemiological and survival comparisons of Non-Hodgkin lymphoma between AIP (N = 556) and USW reported in SEER database 1988-2006

VariabalesAIPUSWP valueVariablesAIPUSWP value
Reported cases 4.5% 4% NS Stage IV 58% 50% <0.01 
Median age in yr 52 67 <0.001 1 yr survival 85% 78% <0.01 
Age < 65 at diagnosis 59% 47% <0.001 2 yrs survival 81% 70% <0.001 
Age > 65 at diagnosis 41% 53% <0.001 3 yrs survival 76% 65% <0.001 
Stage I/II 16% 32% <0.001 4 yrs survival 71% 59% <0.001 
Stage III 26% 18% <0.001 5 yrs survival 70% 56% <0.001 
VariabalesAIPUSWP valueVariablesAIPUSWP value
Reported cases 4.5% 4% NS Stage IV 58% 50% <0.01 
Median age in yr 52 67 <0.001 1 yr survival 85% 78% <0.01 
Age < 65 at diagnosis 59% 47% <0.001 2 yrs survival 81% 70% <0.001 
Age > 65 at diagnosis 41% 53% <0.001 3 yrs survival 76% 65% <0.001 
Stage I/II 16% 32% <0.001 4 yrs survival 71% 59% <0.001 
Stage III 26% 18% <0.001 5 yrs survival 70% 56% <0.001 
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Table 2:

Epidemiological and survival comparisons of Hodgkin lymphoma between AIP (N = 149) and USW reported in SEER database 1988-2006

VariabalesAIPUSWP valueVariablesAIPUSWP value
Reported cases 1.3% 1.5% NS Stage IV 37% 29% <0.01 
Median age in yr 31 38 <0.01 1 year survival 81% 75% <0.01 
Age < 35 at diagnosis 62% 51% <0.001 2 years survival 79% 66% <0.001 
Age > 35 at diagnosis 38% 49% <0.001 3 years survival 72% 61% <0.001 
Stage I/II 20% 35% <0.001 4 years survival 68% 57% =0.001 
Stage III 43% 36% <0.001 5 years survival 66% 53% =0.001 
VariabalesAIPUSWP valueVariablesAIPUSWP value
Reported cases 1.3% 1.5% NS Stage IV 37% 29% <0.01 
Median age in yr 31 38 <0.01 1 year survival 81% 75% <0.01 
Age < 35 at diagnosis 62% 51% <0.001 2 years survival 79% 66% <0.001 
Age > 35 at diagnosis 38% 49% <0.001 3 years survival 72% 61% <0.001 
Stage I/II 20% 35% <0.001 4 years survival 68% 57% =0.001 
Stage III 43% 36% <0.001 5 years survival 66% 53% =0.001 
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Table 3:

Epidemiological and survival comparisons of ALL (N = 135) in Adults between AIP and USW reported in SEER database 1988-2006.

VariablesAIPUSWP valueVariablesAIPUSWP value
Reported cases <1% <1% NS 1 yr survival 48% 32% <0.001 
Cases in male 61% 59% NS 2 yrs survival 27% 18% <0.001 
Cases in female 39% 49% NS 3 yrs survival 22% 15% <0.001 
Median age in yr 42 56 <0.001 4 yrs survival 18% 11% <0.001 
Poor prognostic factors 67% 64% NS 5 yrs survival 15% 8% <0.001 
VariablesAIPUSWP valueVariablesAIPUSWP value
Reported cases <1% <1% NS 1 yr survival 48% 32% <0.001 
Cases in male 61% 59% NS 2 yrs survival 27% 18% <0.001 
Cases in female 39% 49% NS 3 yrs survival 22% 15% <0.001 
Median age in yr 42 56 <0.001 4 yrs survival 18% 11% <0.001 
Poor prognostic factors 67% 64% NS 5 yrs survival 15% 8% <0.001 
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Table 4:

Epidemiological and survival comparisons of AML (N = 167) in Adults between AIP and USW reported in SEER database 1988-2006.

VariablesAIPUSWP valueVariablesAIPUSWP value
Reported cases 1.3% 1.2% NS 1 yr survival 52% 34% <0.001 
Cases in male 51% 55% NS 2 yrs survival 36% 22% <0.001 
Cases in female 49% 45% NS 3 yrs survival 34% 17% <0.001 
Median age in yr 54 67 <0.001 4 yrs survival 30% 15% <0.001 
Poor prognostic factors 62% 65% NS 5 yrs survival 29% 14% <0.001 
VariablesAIPUSWP valueVariablesAIPUSWP value
Reported cases 1.3% 1.2% NS 1 yr survival 52% 34% <0.001 
Cases in male 51% 55% NS 2 yrs survival 36% 22% <0.001 
Cases in female 49% 45% NS 3 yrs survival 34% 17% <0.001 
Median age in yr 54 67 <0.001 4 yrs survival 30% 15% <0.001 
Poor prognostic factors 62% 65% NS 5 yrs survival 29% 14% <0.001 
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Table 5:

Epidemiological and survival comparisons of CLL (N = 109) between AIP and USW reported in SEER database 1988-2006.

VariablesAIPUSWP valueVariablesAIPUSWP value
Reported cases <1% <1% NS 1 yr survival 94% 87% <0.01 
Cases in male 67% 65% NS 2 yrs survival 87% 78% <0.01 
Cases in female 33% 35% NS 3 yrs survival 79% 71% <0.01 
Median age in yr 64 72 <0.01 4 yrs survival 73% 65% <0.01 
Poor prognostic factors 49% 45% NS 5 yrs survival 66% 58% <0.01 
VariablesAIPUSWP valueVariablesAIPUSWP value
Reported cases <1% <1% NS 1 yr survival 94% 87% <0.01 
Cases in male 67% 65% NS 2 yrs survival 87% 78% <0.01 
Cases in female 33% 35% NS 3 yrs survival 79% 71% <0.01 
Median age in yr 64 72 <0.01 4 yrs survival 73% 65% <0.01 
Poor prognostic factors 49% 45% NS 5 yrs survival 66% 58% <0.01 
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Table 6:

Epidemiological and survival comparisons of CML (N = 112) between AIP and USW reported in SEER database 1988-2006.

VariablesAIPUSWP valueVariablesAIPUSWP value
Reported cases <1% <1% NS 1 yr survival 85% 71% <0.001 
Cases in male 65% 66% NS 2 yrs survival 83% 56% <0.001 
Cases in female 35% 34% NS 3 yrs survival 80% 46% <0.001 
Median age in yr 57 66 <0.001 4 yrs survival 74% 38% <0.001 
Poor prognostic factors 31% 29% NS 5 yrs survival 71% 32% <0.001 
VariablesAIPUSWP valueVariablesAIPUSWP value
Reported cases <1% <1% NS 1 yr survival 85% 71% <0.001 
Cases in male 65% 66% NS 2 yrs survival 83% 56% <0.001 
Cases in female 35% 34% NS 3 yrs survival 80% 46% <0.001 
Median age in yr 57 66 <0.001 4 yrs survival 74% 38% <0.001 
Poor prognostic factors 31% 29% NS 5 yrs survival 71% 32% <0.001 
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Conclusions:

Our analysis shows that AIP are diagnosed with common hematological malignancies at a younger age than USW. The distribution of these malignancies according to gender follows other major groups but there is no statistical difference in age at diagnosis, stages, tumor biology, treatment methodologies or survival between male and female AIP. Noticeable better 1-5 years survival could be attributed to difference in tumor biology, cytogenetics, emigrational factors, higher socioeconomic status, better access to health care, educational background with awareness and environmental factors. Future studies are warranted to examine the behavior and biology of tumor in this population.

Disclosures:

No relevant conflicts of interest to declare.

Topics:
asian indians, health disparity, hematologic neoplasms, seer program, prognostic factors, cancer, neoplasms, cancer diagnosis, hodgkin's disease, lymphoma, non-hodgkin

Author notes

*

Asterisk with author names denotes non-ASH members.

© 2009 by The American Society of Hematology
2009
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