CC BY-NC-ND 4.0 · South Asian J Cancer
DOI: 10.1055/s-0044-1790224
Letter to the Editor

A Cross-Sectional Study Examining the Prevalence of Acute Promyelocytic Leukemia in the United States: A SEER Study

Shangyi Fu
1   School of Medicine, Baylor College of Medicine, Houston, Texas, United States
2   Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas, United States
,
Michel Adeniran
3   John Sealy School of Medicine, The University of Texas Medical Branch, Galveston, Texas, United States
,
Diana Bonilla
3   John Sealy School of Medicine, The University of Texas Medical Branch, Galveston, Texas, United States
,
Melissa Marchan-Martinez
3   John Sealy School of Medicine, The University of Texas Medical Branch, Galveston, Texas, United States
,
Ibeth Caceres
1   School of Medicine, Baylor College of Medicine, Houston, Texas, United States
,
Zachrieh Alhaj
3   John Sealy School of Medicine, The University of Texas Medical Branch, Galveston, Texas, United States
,
Danny Huynh
4   Cullen College of Engineering, University of Houston, Houston, Texas, United States
› Author Affiliations
 
Zoom Image
Zachrieh Alhaj

Acute promyelocytic leukemia (APL) is a common type of leukemia that causes an abnormal increase in promyelocytes, an immature white blood cell.[1] We aimed to estimate the prevalence of primary APL using the Surveillance, Epidemiology, and End Results (SEER) database, a recently launched initiative by the Surveillance Research Program in National Cancer Institute's Division of Cancer and Population Sciences.

This study was deemed Institutional Review Board exempt. We performed a cross-sectional analysis of the SEER database by identifying patients with a diagnosis of APL using the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) code 205.0 and ICD-10-CM code C92.40. Electronic medical records of each patient with APL were then analyzed to collect data on age, sex, and self-identified race. We utilized SEER's estimates with 95% confidence intervals to calculate the overall prevalence of APL.

Currently, the SEER database has enrolled 43,926,824 patients ([Table 1]). We identified 1,558.2 with APL, representing an overall prevalence of 0.00354726%. The prevalence was highest in the 50 to 54 age group, increasing with age. Prevalence in specific racial groups included 0.003834716% in white, 0.002777179% in black, 0.00178368% in American Indian/Alaska Native, and 0.002778717% in Asian or Pacific Islander patients ([Table 1]). In addition, the SEER database can be used to depict the mortality rates in APL; in white populations the mortality rate was 9.7%, in black populations the mortality rate was 5.5%, in American Indian/Alaska Native populations the mortality rate was 6.25%, and in the Asian or Pacific Islander populations the mortality rate was 9.9%.

Table 1

The occurrence of acute promyelocytic leukemia categorized by age and races in the United States

Group

Estimated prevalence percent

Estimated prevalence Count

Population at prevalence date

Known alive

Lost

Lost estimated alive

Dead prior to prevalence date

White

0.00

1,198

31,240,899

1,100

117

98

745

Black

0.00

145.1

5,224,726

139

8

6.1

85

American Indian/Alaska Native

0.00

16

897,021.5

15

1

1

7

Asian or Pacific Islander

0.00

182.4

6,564,178.5

168

18

14.4

107

Unknown

16.7

0

13

4

3.7

0

00 years at previous date

0.00

0

522,150

0

0

0

0

01–04 years at previous date

0.00

2

2,159,900.5

2

0

0

1

05–09 years at previous date

0.00

3

2,732,193.5

3

0

0

0

10–14 years at previous date

0.00

15.4

2,,786,556.5

14

2

1.4

4

15–19 years at previous date

0.00

36.9

2,781,405

34

3

2.9

7

20–24 years at previous date

0.00

71

2,954,646.5

70

1

1

11

25–29 years at previous date

0.00

96.5

3,391,241

90

8

6.5

24

30–34 years at previous date

0.00

109.8

3,191,280.5

100

11

9.8

27

35–39 years at previous date

0.00

129.4

3,049,214.5

115

18

14.4

33

40–44 years at previous date

0.00

160.2

2,779,268.5

142

21

18.2

39

45–49 years at previous date

0.00

156.1

2,889,978.5

136

24

20.1

42

50–54 years at previous date

0.00

161.1

2,837,532.5

147

17

14.1

64

55–59 years at previous date

0.00

139.6

2,873,440

128

13

11.6

75

60–64 years at previous date

0.01

148

2,591,284.5

133

18

15

98

65–69 years at previous date

0.00

110

2,124,581

110

0

0

81

70–74 years at previous date

0.01

90.2

1,598,623.5

86

5

4.2

68

75–79 years at previous date

0.00

57.6

1,077,416

55

5

2.6

88

80–84 years at previous date

0.00

43.4

736,037

43

1

0.4

69

85+ years at previous date

0.00

28

850,075.5

27

1

1

213

Additionally, the SEER database consists of 71% white, 12% black, 2% American-Indian, and 15% Asian-Pacific Islanders,[2] while the demographic makeup of the United States is 76% white, 14% black, 1% American-Indian, and 7% Asian.[3] Consequently, our APL prevalence calculation may underestimate the white and black populations while overestimating the Hispanic and Asian populations. Furthermore, it is probable that there are more unaccounted-for patients due to their U.S. residency status, health care availability, and census limitations. Using a chi-squared test of independence, we found no significant difference between the SEER and U.S. Census populations ([Table 1]). Our analysis showed no significant relationship between the two populations, chi-square (3, N = 304,167,848) = 3404209.8855, p < 0.00001 ([Table 2]). Thus, our findings suggest that the SEER database and the U.S. Census population are statistically similar, allowing for an estimate of the U.S. population using SEER data.

Table 2

A chi-square test of independence was conducted using 2018 estimated population data for both SEER and USA

Estimated SEER population in 2018

Estimated USA population in 2018

Row totals

White

31,240,899 (33,049,304.38) [98,953.07]

197,606,407 (195,798,001.62) [16,702.57]

228,847,306

Black

5,224,726 (6,661,487.98) [309,883.47]

40,902,223 (39,465,461.02) [52,306.12]

46,126,949

American-Indian

897,022 (478,652.71) [365,678.20]

2,417,371 (2,835,740.29) [61,723.87]

3,314,393

Asian-Pacific Islander

6,564,179 (3737380.93) [2,138,071.41]

19,315,021 (22,141,819.07) [360,891.18]

25,879,200

Column totals

43,926,826

2.6E + 8

304,167,848 (grand total)

Abbreviation: SEER, Surveillance, Epidemiology, and End Results.


Note: The observed population was recorded in each cell, the expected population was indicated in parentheses, and the chi statistics are in brackets. The overall chi-square statistic was calculated as 3404209.8855. The p-value was found to be less than 0.00001, at a significance level of less than 0.05.


Altogether, our data suggest APL is a common leukemia across white, black, and Asian racial groups. Given the prevalence observed in black patients, we advocate for greater educational representation of APL in darker skin types. Further epidemiologic studies that are not restricted by billing codes may validate our findings.


#

Conflict of Interest

None declared.


Address for correspondence

Zachrieh Alhaj, BS, BA
John Sealy School of Medicine, The University of Texas Medical Branch
301 University Blvd, Galveston, TX 77555
United States   

Publication History

Received: 29 May 2024

Accepted: 03 August 2024

Article published online:
03 September 2024

© 2024. MedIntel Services Pvt Ltd. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)

Thieme Medical and Scientific Publishers Pvt. Ltd.
A-12, 2nd Floor, Sector 2, Noida-201301 UP, India


Zoom Image
Zachrieh Alhaj