Table 2.
Demographic and Clinical Characteristics of Patients With Metastatic Breast Cancer by Race/Ethnicity
| Characteristic | White (n = 107,768), n (%) | Black (n = 25,152), n (%) | Asian (n = 4121), n (%) | American Indian or Alaska native (n = 453), n (%) | Hawaiian or Other Pacific Islander (n = 394), n (%) | Hispanic (n = 8803), n (%) | p a |
|---|---|---|---|---|---|---|---|
| Age at diagnosis (years), mean (SD) | 64 (14) | 59 (14) | 58 (14) | 59 (14) | 57 (14) | 57 (15) | <0.001 |
| Age group (years) | |||||||
| <45 | 9583 (9) | 3800 (15) | 741 (18) | 77 (17) | 72 (18) | 1883 (21) | <0.001 |
| 45–65 | 49,463 (46) | 13,270 (53) | 2190 (53) | 224 (49) | 216 (55) | 4516 (51) | |
| >65 | 48,722 (45) | 8082 (32) | 1190 (29) | 152 (34) | 106 (27) | 2404 (27) | |
| Sex | |||||||
| Male | 1525 (1) | 391 (2) | 43 (1) | <10 (<1) | <10 (<2) | 91 (1) | 0.003 |
| Female | 106,243 (99) | 24,761 (98) | 4078 (99) | >440 (>99) | >380 (>98) | 8712 (99) | |
| Type of health insurance | |||||||
| Uninsured | 3763 (4) | 1913 (8) | 282 (7) | 17 (4) | 27 (7) | 1232 (14) | <0.001 |
| Private or managed care | 42,996 (40) | 8560 (34) | 1898 (46) | 119 (26) | 148 (38) | 2871 (33) | |
| Medicaid | 9073 (8) | 4983 (20) | 751 (18) | 103 (23) | 105 (27) | 2147 (24) | |
| Medicare | 49,061 (46) | 8754 (35) | 1002 (24) | 152 (34) | 100 (25) | 2164 (25) | |
| Other government | 2875 (3) | 942 (4) | 188 (5) | 62 (14) | 14 (4) | 389 (4) | |
| Median household income quartileb | |||||||
| <$40,227 | 13,854 (15) | 10,095 (45) | 299 (8) | 156 (41) | 32 (10) | 2288 (29) | <0.001 |
| $40,227–$50,353 | 21,105 (22) | 4798 (21) | 483 (13) | 79 (21) | 56 (17) | 1792 (23) | |
| $50,354–$63,332 | 23,560 (25) | 3514 (16) | 851 (23) | 75 (20) | 92 (28) | 1840 (23) | |
| ≥$63,333 | 37,120 (39) | 3970 (18) | 2102 (56) | 73 (19) | 155 (46) | 1988 (25) | |
| Rural/urban areac | |||||||
| Metro | 88,202 (84) | 22,685 (92) | 3920 (97) | 260 (60) | 359 (92) | 8287 (96) | <0.001 |
| Urban | 14,501 (14) | 1707 (7) | 97 (2) | 143 (33) | <35 (<9) | 356 (4) | |
| Rural | 1986 (2) | 208 (1) | 15 (0.4) | 32 (7) | <10 (<1) | 23 (0.3) | |
| Charlson–Deyo comorbidity score | |||||||
| 0 | 86,849 (81) | 19,288 (77) | 3554 (86) | 337 (74) | 308 (78) | 7271 (83) | <0.001 |
| 1 | 14,135 (13) | 3858 (15) | 404 (10) | 71 (16) | 57 (15) | 1135 (13) | |
| ≥2 | 6784 (6) | 2006 (8) | 163 (4) | 45 (10) | 29 (7) | 397 (5) | |
| Histologic type | |||||||
| Ductal | 65,415 (61) | 16,137 (64) | 2868 (70) | 299 (66) | 265 (67) | 5648 (64) | <0.001 |
| Lobular | 12,172 (11) | 1988 (8) | 276 (7) | 40 (9) | <25 (<7) | 782 (9) | |
| Ductal and lobular | 3874 (4) | 652 (3) | 121 (3) | 19 (4) | <10 (<2) | 301 (3) | |
| Other | 26,307 (24) | 6375 (25) | 856 (21) | 95 (21) | 98 (25) | 2072 (24) | |
| Molecular subtype | |||||||
| HR+/HER2− | 43,921 (64) | 8826 (54) | 1747 (58) | 226 (68) | 189 (66) | 3431 (57) | <0.001 |
| HR+/HER2+ | 10,666 (16) | 2529 (15) | 550 (18) | 50 (15) | 48 (17) | 1024 (17) | |
| HR−/HER2+ | 5400 (8) | 1516 (9) | 378 (13) | 22 (7) | 25 (9) | 646 (11) | |
| TNBC | 8535 (13) | 3596 (22) | 341 (11) | 36 (11) | 25 (9) | 877 (15) | |
| Tumor grade | |||||||
| 1 | 7006 (9) | 1031 (5) | 185 (6) | 31 (9) | 19 (7) | 435 (7) | <0.001 |
| 2 | 34,823 (45) | 6834 (36) | 1312 (41) | 142 (40) | 115 (40) | 2647 (40) | |
| 3 | 36,408 (47) | 11,261 (59) | 1678 (53) | 183 (51) | 155 (54) | 3479 (53) | |
| Type of cancer program | |||||||
| Community | 9196 (9) | 1321 (6) | 281 (8) | 51 (123) | 40 (11) | 528 (7) | <0.001 |
| Comprehensive community | 43,220 (42) | 7512 (33) | 1218 (33) | 185 (46) | 107 (30) | 2289 (30) | |
| Academic or research | 28,875 (28) | 9662 (42) | 1570 (42) | 116 (29) | 132 (37) | 3533 (46) | |
| Integrated network | 21,271 (21) | 4494 (20) | 646 (17) | 55 (14) | 80 (22) | 1328 (17) | |
| Median follow-up time (months), median (IQR) | 25 (8–50) | 19 (6–39) | 30 (12–54) | 24 (7–47) | 24 (7–45) | 27 (11–52) | <0.001 |
a
p Values were calculated using ANOVA or Kruskal–Wallis tests for continuous data and Pearson's χ2 tests for categorical data.
b
Based on the 2016 American Community Survey data, spanning years 2012–2016 and adjusted for 2016 inflation.
c
Measured by matching the state and county FIPS code of the patient recorded at the time of diagnosis against 2013 files published by the United States Department of Agriculture Economic Research Service.
ANOVA, analysis of variance.