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. Author manuscript; available in PMC: 2013 Jun 28.
Published in final edited form as: Cancer. 2011 Jan 10;117(12):2762–2769. doi: 10.1002/cncr.25871

Studying Cancer in Minorities– A Look at the Numbers

Sara H Olson 1, Tracy M Layne 2, Jennifer A Simon 3, Emmy Ludwig 4, Eileen O’Reilly 5, Peter J Allen 6, Robert C Kurtz 7
PMCID: PMC3695699  NIHMSID: NIHMS468502  PMID: 21656755

Abstract

Background

Inclusion of minorities is an important but challenging aspect of epidemiologic studies in the US. One aspect of this challenge that has received little attention is the actual number of minorities affected with specific cancers. We aimed to understand how population characteristics affect the numbers of minority cancer cases in Surveillance, Epidemiology and End Results (SEER) regions.

Methods

Using SEER data, we identified 6 cancers with higher incidence in racial and ethnic minorities and reviewed the annual number of cases of those cancers in SEER areas where there are large numbers of blacks, Hispanics, and Asians. We examined the age characteristics of the populations in SEER areas using data from the U.S. Census.

Results

For blacks, while there are substantial numbers of cases for the most common cancers with higher incidence in this group, numbers are quite small for other cancers: <150 cases, and in many areas, <100 per year. Few registries have substantial numbers of Hispanics or Asians. As expected, the proportion of the minority populations is lower in older age groups, while the proportion of non-Hispanics whites is larger.

Conclusion

Because of the sharp decline in minority populations associated with age, and the high age-specific incidence of most cancers, the actual number of minority cases is quite small for several cancers. This is a further challenge to including minority groups in studies of any but the most common cancers.

Keywords: cancer, minorities, minority recruitment, epidemiology, population characteristics


Epidemiologists attempt to include racial and ethnic minorities in their studies in order to obtain a study population that reflects the source population. We are particularly concerned with including minorities in studies of those diseases that have higher incidence in minorities in order to understand the sources of health disparities. Motivated by an effort to understand the reasons for having relatively small numbers of blacks enrolled in a study of pancreatic cancer in New York City, we investigated the actual numbers of black cases in the area, which we found to be surprisingly small in light of the large minority population in this area and the higher incidence of pancreatic cancer in blacks. This investigation was expanded to other cancers that have higher age-adjusted incidence in blacks and other minorities and to Surveillance, Epidemiology and End Results (SEER) Registry areas in order to gain an understanding of how age-adjustment and age distribution affect the practical aspects of including minority groups in epidemiologic studies. We focused on SEER areas because epidemiologic studies are frequently conducted in these geographically-defined areas and population data are available.

METHODS

Cancers studied

Using data from the American Cancer Society1 we determined the most common cancers in the U. S. in 2004, choosing this year as the midpoint of the period for which recent data on numbers of cases were available (2002–2006) from the SEER Cancer Statistics Review 1975–2006.2 We limited our analysis to 14 cancers with at least 20,000 cases in total. These cancers (and the numbers diagnosed in 2004, in thousands) were: prostate [230], lung/bronchus [173], breast [215], colorectal [147], bladder [60], non-Hodgkins lymphoma [54], melanoma [55], kidney/renal pelvis [35], uterine corpus [40], pancreas [31], oral cavity and pharynx [28], ovary [25], thyroid [23], stomach [22]. We then considered cancers with higher age-adjusted incidence3 in minorities. Compared to non-Hispanic whites, age-adjusted incidence in the 17 SEER registries was higher in blacks for 6 of these 14 cancers: prostate, lung/bronchus, colorectal, kidney/renal pelvis, pancreas, and stomach. Stomach cancer was the only one with higher incidence in Hispanics and Asians. For American Indian/Alaska Natives (AI/AN), the incidence of both stomach and kidney/renal pelvis cancer was higher than in non-Hispanic whites.

Inclusion of specific minorities in individual SEER Registries

Because the size of the minority populations in each SEER registry varies considerably, when reporting numbers of cases in minority groups, we included data from any given registry only for those minorities for which the total population of that minority was at least 100,000 in 2000.4 We reasoned that researchers concerned about including a particular minority would be most likely to use registries where there is a reasonable number of that minority group. Incidence rates, numbers of cases, and median age at diagnosis

Age-adjusted incidence rates and numbers of cases for minorities and non-Hispanic whites for the years 2002–2006 for the selected cancers in each registry were obtained from SEER*Stat.3 We included cases with earlier primary cancers, those without microscopic confirmation, and those diagnosed at autopsy or death certificate. The San Francisco/Oakland and San Jose/Monterey registries were combined to comprise the Greater Bay area, as defined by SEER. SEER*Stat was also used to estimate the median age at diagnosis3 for each racial and ethnic group by cancer site. We reported data for whites excluding Hispanics, whereas the category “Hispanic” is not mutually exclusive from black, Asian/Pacific Islander, and American Indian/Alaska Native. Identification of an individual as “Hispanic” is based on the North American Association of Central Cancer Registries (NAACCR) Hispanic Identification Algorithm (NHIA).5

Population characteristics

We used intercensal and post-censal population estimates from the National Center for Health Statistics (NCHS) and the Census Bureau6 to describe the percentage of the population that is black, Hispanic, Asian, and AI/AN in 5-year age groups from 20–24 through >85 in 2004 in combined SEER registries. For the SEER registries covering areas other than states, we combined census data from the counties included (shown in footnote to Table 1). To quantify the changes in the proportion of each racial/ ethnic group, we calculated the ratio of the proportion in the oldest age group to the proportion in the youngest age group for the SEER registries as a whole and for the individual registries with the largest numbers of blacks, Hispanics, and Asians.

TABLE 1.

Age-Adjusted Incidence Rates per 100,000 for Selected Cancers in Total and Individual SEER Registries by Race-Ethnicity (2002–2006)

SEER Sites Prostate Lung &
Bronchus
Colorectal Kidney &
Renal Pelvis
Pancreas Stomach
17 SEER Areasa
Non-Hispanic White 156.1 68.8 49.9 14.2 11.7 6.2
Black 239.8 74.8 59.9 15.0 15.6 12.1
Hispanic 133.4 32.5 38.4 13.2 10.6 11.7
Asian 91.1 39.0 40.0 6.9 9.0 13.4
American Indian/Alaska Native 76.1 44.9 42.3 17.5 9.7 11.2
Greater California
Non-Hispanic White 148.3 66.6 46.3 13.4 11.4 5.6
Black 218.9 67.7 52.7 15.5 16.1 10.0
Hispanic 127.7 33.6 37.9 14.3 11.3 10.7
Asian 77.8 35.7 34.2 5.9 8.5 11.3
Los Angeles
Non-Hispanic White 143.1 57.1 48.9 12.5 11.4 6.6
Black 215.0 69.9 60.4 12.5 14.7 11.6
Hispanic 131.6 26.0 34.0 12.1 9.3 12.6
Asian 89.9 37.4 44.7 6.0 9.0 16.8
New Jersey
Non-Hispanic White 165.4 69.5 55.6 15.7 12.4 7.7
Black 257.7 67.9 59.9 14.1 14.0 12.5
Hispanic 173.3 40.1 49.2 11.3 11.5 13.8
Asian 81.6 28.4 31.8 6.1 7.2 12.9
Greater Bay Area
Non-Hispanic White 165.4 55.3 44.6 11.6 11.8 6.0
Black 206.7 75.7 53.9 16.0 15.5 10.7
Hispanic 140.1 33.6 39.2 13.6 11.0 11.8
Asian 91.0 40.8 39.8 6.6 8.1 12.3
Louisiana
Non-Hispanic White 159.7 80.4 54.6 18.1 12.2 6.2
Black 237.9 82.1 64.5 16.1 16.8 15.0
Hispanic 104.6 35.9 31.1 14.3 8.9 10.9
Asian 81.8 34.1 35.1 5.8b 9.5 11.3
Seattle-Puget Sound
Non-Hispanic White 174.0 70.5 46.3 14.7 11.6 5.8
Black 248.7 77.8 51.4 17.5 17.6 10.5
Hispanic 102.8 39.8 33.2 13.4 9.7 12.4
Asian 86.3 44.2 36.5 8.0 9.9 12.7
Kentucky
Non-Hispanic White 136.2 100.9 57.2 16.2 11.1 5.5
Black 223.7 107.2 69.6 19.2 15.2 9.9
Hispanic 67.4 55.6 34.2 11.3 7.2b 4.7b
Asian 47.5 32.1 25.6 9.4b 11.2b 17.3b
Detroit Metro Area
Non-Hispanic White 171.6 79.5 50.1 15.1 13.1 7.6
Black 280.5 89.7 65.8 16.7 17.9 12.7
Hispanic 104.4 46.3 39.3 14.6 10.5 9.7
Asian 76.6 29.1 30.1 6.4 7.6 10.5
Connecticut
Non-Hispanic White 160.1 70.7 52.8 14.5 13.0 7.8
Black 227.3 61.5 55.9 13.8 18.6 14.9
Hispanic 162.8 51.4 58.3 15.2 13.3 15.2
Asian 57.9 30.5 31.6 6.1 6.6 8.5
Atlanta Metro Area
Non-Hispanic White 150.1 61.0 41.2 12.0 9.9 4.4
Black 260.6 63.4 56.2 13.3 13.1 10.3
Hispanic 98.5 23.7 31.6 7.9 7.0 8.0
Asian 62.5 24.0 27.7 3.2 6.6 14.9
Iowa
Non-Hispanic White 141.0 68.7 56.4 15.5 11.1 5.3
Black 197.5 97.8 62.1 19.4 21.5 10.3
Hispanic 93.5 26.5 26.5 12.2 6.5b 13.0
Asian 76.6 37.0 21.6 8.6b 6.6b 17.7b
Utah
Non-Hispanic White 187.1 29.5 39.3 10.4 9.6 4.5
Black 151.8 60.3 37.5 1.0b 7.4b 18.9b
Hispanic 132.2 31.7 40.8 15.1 13.5 8.9
Asian 118.6 34.1 30.4 6.1b 6.3b 12.8
New Mexico
Non-Hispanic White 161.9 58.9 44.1 10.5 10.5 5.6
Black 113.6 45.3 26.0 7.4b 7.8b 8.1b
Hispanic 129.2 31.5 40.8 14.4 10.8 10.5
Asian 59.0 21.6 15.6 1.8b 4.0b 12.4b
Hawaii
Non-Hispanic White 150.1 64.3 51.0 12.8 10.6 7.2
Black 163.3 31.9 38.4 19.2 6.5b 5.2b
Hispanic 127.5 62.9 44.8 5.2b 15.6 14.5
Asian 116.0 49.4 50.4 10.1 12.2 13.6
Rural Georgia
Non-Hispanic White 165.9 80.9 47.6 13.1 11.3 5.1
Black 240.3 57.0 64.9 7.3 17.4 7.9
Hispanic 46.0b 20.8b 17.6b 27.4b ~ ~
Asian 309.7b 67.4b ~ ~ ~ ~
a

17 SEER Sites include: Alaska Native Registry, Atlanta, California excluding San Francisco/San Jose-Monterey, Connecticut, Detroit, Hawaii, Iowa, Kentucky, Los Angeles, Louisiana, New Jersey, New Mexico, Rural Georgia, San Francisco, San Jose-Monterey, Seattle and Utah.

County Definitions for SEER Areas other than states: Los Angeles: Los Angeles County; Greater Bay Area: Alameda, Contra Costa, Marin, San Francisco, San Mateo, Monterey, San Benito, Santa Clara and Santa Cruz counties; Greater California: Remaining counties minus: Los Angeles County and the Greater Bay Area; Seattle-Puget Sound: Clallam, Grays Harbor, Island, Jefferson, King, Kitsap, Mason, Pierce, San Juan, Skagit, Snohomish, Thurston and Whatcom counties; Detroit Metro Area: Macomb, Oakland and Wayne counties; Atlanta Metro Area: Clayton, Cobb, DeKalb, Fulton and Gwinnett counties; Rural Georgia: Glascock, Greene, Hancock, Jasper, Jefferson, Morgan, Putnam, Taliaferro, Warren and Washington counties.

b

Based on less than 16 cases

~

Statistic could not be calculated

RESULTS

Table 1 shows age-adjusted incidence rates for the 6 cancers with higher overall incidence rates in blacks, Hispanics, Asians, or AI/AN than in non-Hispanic whites in the 17 SEER areas in total and, except for AI/AN, in the individual SEER areas. Individual areas are ordered by population size from largest to smallest. For several registries, particularly the smaller ones, statistics are based on <16 cases or cannot be calculated. Among blacks, the overall pattern of higher incidence compared to non-Hispanic whites is consistent for most of the cancers, with some exceptions, particularly in the smaller registries and for lung cancer and kidney/renal pelvis cancer. Among Hispanics and Asians, incidence of stomach cancer is higher than in non-Hispanic whites in all registries with adequate statistics.

Table 2 shows the average annual number of patients with the 6 cancers for which the age-adjusted incidence is higher in blacks in each of the 10 registries with black population ≥100,000. Those places where the number of cases is 100–149 or <100 are highlighted. For non-Hispanic whites, there are >150 cases of all cancers studied in these 10 registries, with the exception of pancreatic and stomach cancers in Atlanta. Among blacks, for the more common cancers (prostate, lung/bronchus, colorectal), there are >150 cases in most of the registries studied, with the exception of Seattle, and, for colorectal cancer, Connecticut. For the less common cancers (kidney/renal pelvis, pancreas, and stomach), there are <150 black cases in each of the 10 registries, with the exception of kidney/renal pelvis and pancreas cancers in Louisiana. In 7 of the 10 registries, there are <100 cases per year for some or all of these less common cancers. Table 3 shows the number of non-Hispanic whites, Hispanics, and Asians with stomach cancer in each registry studied. Only Greater California and Los Angeles have ≥150 Hispanics with stomach cancer and only the 3 California registries have ≥150 Asians with stomach cancer per year. For AI/AN, the total number of cases in SEER registries with these cancers is: prostate, 772; lung, 1,013; colorectal, 924; kidney, 409; pancreas, 216; stomach, 239 (not shown in tables).

TABLE 2.

Average Annual Number of Incident Cases of Selected Cancers for Blacks and Non-Hispanic Whites in Individual SEER Areas with Black Population ≥ 100,000 (2002–2006)

SEER Area Prostate Lung &
Bronchus
Colorectal Kidney & Renal
Pelvis
Pancreas Stomach
Greater California
Non-Hispanic White 8380 8346 5837 1645 1450 702
Black 632 405 319 107 94 57
Los Angeles
Non-Hispanic White 2600 2306 2001 490 471 267
Black 776 585 501 108 119 95
Greater Bay Area
Non-Hispanic White 2903 2104 1732 445 459 233
Black 382 314 221 70 63 44
New Jersey
Non-Hispanic White 5115 4951 4016 1084 898 555
Black 1041 658 569 145 130 114
Louisiana
Non-Hispanic White 2004 2267 1535 508 343 174
Black 924 796 622 163 158 141
Seattle-Puget Sound
Non-Hispanic White 2841 2467 1656 535 412 208
Black 144 87 63 25 18 12
Kentucky
Non-Hispanic White 2413 4073 2286 651 444 219
Black 221 251 164 47 36 23
Detroit Metro Area
Non-Hispanic White 2344 2465 1568 470 412 238
Black 959 747 545 146 147 104
Connecticut
Non-Hispanic White 2345 2364 1805 473 442 266
Black 242 153 136 37 44 36
Atlanta Metro Area
Non-Hispanic White 1035 884 618 191 144 68
Black 707 410 380 104 79 69

TABLE 3.

Average Number of Incident Cases of Stomach Cancer by Race/ Ethnicity in Individual SEER Areas with ≥ 100,000 Hispanics or Asians (2002–2006)

SEER Area Non-Hispanic White Hispanic Asian
Greater California 702 299 153
Los Angeles 267 281 211
Greater Bay Area 233 90 161
New Jersey 555 100 54
Louisiana 174 8 NA
Seattle-Puget Sound 208 11 36
Detroit Metro Area 238 6 8
Connecticut 266 27 NA
Atlanta Metro Area 68 9 12
New Mexico 62 64 NA
Utah 75 8 NA
Hawaii 23 NA 141

NA-not applicable- <100,000 of that race/ethnic group in that registry area

Table 4 contains data on the median age at diagnosis across the racial/ethnic groups studied. Among non-Hispanic whites the median age at diagnosis ranges from 66 (for kidney/ renal pelvis cancer) to 73 (for pancreas and stomach cancers), while blacks are diagnosed at younger ages (range 61–68) for each of these cancers. For stomach cancer, Hispanics are diagnosed at a median age of 66, while Asians are diagnosed at a median age of 70. AI/AN are diagnosed with stomach and kidney cancer at younger ages than the other groups, 64 and 60, respectively.

TABLE 4.

Median Age at Diagnosis for Selected Cancers by Race-Ethnicity (2002–2006)

Site Non-Hispanic
Whites
Blacks Hispanic Asians American
Indian/Alaska Native
Prostate 68 65 67 70 67
Lung & Bronchus 71 66 70 71 68
Colorectal 72 66 65 67 64
Kidney & Renal Pelvis 66 61 61 64 60
Pancreas 73 68 69 71 68
Stomach 73 68 66 70 64

For the combined SEER registries, excluding Alaska, Figure 1 shows the number of people in each of the racial /ethnic groups in 5-year age categories from 20–24 through >85 years. It can be seen that the number of individuals is generally smaller in each successive age group, particularly at ages >50. The increase in non-Hispanic whites between the ages of 25 and 49 reflects births in the US from the late 1940s to the 1970s7, the period of the post-World War II baby boom. Figure 2 shows the percentage of each racial/ethnic group in the 20–24 through >85 age categories in the SEER areas. Comparing across age groups, there is a clear increase in the proportion of the population that is non-Hispanic white, while Hispanics show a decline. Blacks and Asians have similar proportions in the population and similar changes in relation to age group; the proportion who are AI/AN is small overall. To quantify the changes between age groups, we calculated the ratio of the proportion in the oldest age group to that in the youngest age group for each racial/ethnic group (Table 5). For non-Hispanic whites, the proportion in the oldest age group is considerably higher than in the youngest group, with a ratio of 1.59. For the other groups, the ratio is below 1: 0.67 for Asians, 0.46 for blacks, 0.26 for Hispanics and 0.25 for AI/AN. Examples of different population structures among registries are also illustrated in Table 5. For example, for blacks in Louisiana and Atlanta, the ratios are somewhat higher (0.62 and 0.53) than in New Jersey (0.37). For Hispanics, the ratio is slightly higher in Los Angeles than in Greater California and the Greater Bay Area. For Asians, the results from Los Angeles show relatively little change across age groups (ratio=0.86), while in Hawaii there is a higher proportion of Asians in the oldest group than in the youngest, with a ratio of 1.33 (data not shown in table).

Figure 1. Number of Individuals in SEER Areas According to Age Group (2004).

Figure 1

The total number of individuals in SEER areas in 5-year are groups by race-ethnicity in 2004. Population data are for 16 of the 17 SEER areas (excluding Alaska, which only provides data for Alaska Natives).

graphic file with name nihms468502f3.jpg

Figure 2. Proportion of Individuals in SEER Areas According to Age Group (2004).

Figure 2

Proportion of the total population in SEER areas in 5-year are groups by race-ethnicity in 2004. Proportions are based on population data for 16 of the 17 SEER areas (excluding Alaska, which only provides data for Alaska Natives).

graphic file with name nihms468502f4.jpg

TABLE 5.

Proportion of each racial/ethnic group, overall and in selected registries, in the youngest (20–24) and oldest (≥85) age groups

Racial/ethnic group Percent of total population age
20–24 in SEER areas
(n=5,461,595)
Percent of total population in
age ≥ 85 in SEER areas
(n=1,157,620)
Ratiob
All registriesa
Non-Hispanic white 51 81 1.59
Black 13 6 0.46
Hispanic 27 7 0.26
Asian 9 6 0.67
American Indian/Alaska Natives 2 0.5 0.25
Three registries with the largest black population
Louisiana 37 23 0.62
New Jersey 19 7 0.37
Atlanta 43 23 0.53
Three registries with the largest Hispanic population
Greater California 39 9 0.23
Los Angeles 55 18 0.33
Greater Bay Area 34 8 0.24
Three registries with the largest Asian populations
Greater California 10 5 0.50
Greater Bay Area 23 15 0.65
Los Angeles 14 12 0.86
a

Adds to greater than 100% because Hispanics can be included in black, Asian, and American Indian/Alaska Native populations

b

The ratio is the percent in the >85 age group to the percent in the 20–24 age group

DISCUSSION

Our examination of SEER and census data shows that, even with higher incidence in minorities, the actual number of minority patients in SEER registry areas for all but the most common cancers is usually quite small. This is related to the population structure of the U.S., reflected in the SEER registry areas, with minority groups having a relatively small proportion of the total population in older age groups likely to be affected by cancer. Comparing ratios of the proportions in oldest to youngest age groups, we noted the largest differences in population composition for Hispanics and AI/AN, intermediate changes for blacks, and smaller changes for Asians, and also noted differences among SEER areas for blacks and Asians. The reasons for differences in population structure vary for the ethnic groups: the relatively smaller numbers of blacks and AI/AN in older age groups are related at least in part to lower life expectancy8, while those noted for Hispanics are more likely related to their recent immigration to the U.S.9 The smaller differences for Asians, compared to blacks and Hispanics, may represent longer life expectancy.8 Age-standardization is necessary for comparison of incidence rates across populations with different age structures; however, since minorities represent relatively small proportions of the population particularly in older age groups, age-adjustment can distort expectations of the actual number of patients. Since we did not exclude cases with earlier primary cancers, without microscopic confirmation, or diagnosed at autopsy or by death certificate, the incidence rates and numbers of cases reported are maximized, and studies with these exclusions would have even smaller numbers of eligible minority cases. With the exception of kidney/ renal cell cancer, incidence of the cancers we studied has declined or remained stable in most racial / ethnic groups in recent years.10

Population-based approaches using cancer registries for case ascertainment can readily identify minority cases, although locating Hispanics may not be straightforward.11 Minority cases may be more difficult both to contact and to recruit into studies.11–13 Hospital-based studies at large centers allow for ready identification of and contact with cases, but there may be small minority patient populations because of the hospitals’ locations, insurance policies, or factors related to patients’ socioeconomic status.

It continues to be important to recruit minorities into epidemiologic studies to provide generalizable results and to explore differences in risk factors and outcomes. Investigators should make use of successful strategies that have been identified 1219 and continue to develop and refine these strategies, while recognizing the limitations imposed, for some cancers, by absolute numbers of cases.

Footnotes

Financial Disclosures: There are no financial disclosures from any of the authors

Contributor Information

Sara H. Olson, Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center

Tracy M. Layne, Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center.

Jennifer A. Simon, Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center.

Emmy Ludwig, Department of Medicine, Memorial Sloan Kettering Cancer Center

Eileen O’Reilly, Department of Medicine, Memorial Sloan Kettering Cancer Center

Peter J. Allen, Department of Surgery, Memorial Sloan Kettering Cancer Center

Robert C. Kurtz, Department of Medicine, Memorial Sloan Kettering Cancer Center

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