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Table 2 Percent of patients and pCR for race and ethnicity grouped by molecular subtypes (N = 475), (B) AUCs for all four univariate models across all 4 tumor subtypes

From: Machine learning prediction of pathological complete response and overall survival of breast cancer patients in an underserved inner-city population

 

ER−/HER2+

ER+/HER2+

ER+/HER2−

TN

Percent of patients

 White

18 (11%)

39 (24%)

51 (32%)

49 (31%)

 Black

42 (16%)

39 (15%)a

61 (23%)a

109 (41%)a

Percent with pCR

 White

9 (50%)

9 (23%)

6 (12%)b

14 (29%)

 Black

23 (55%)

8 (21%)b

4 (7%)b

34 (31%)b

Percent of patients

    

 Hispanic

24 (14%)

33 (17%)

54 (24%)

48 (40%)

 Non-Hispanic

45 (14%)

54 (17%)

76 (24%)

123 (40%)

Percent with pCR

    

 Hispanic

14 (58%)

6 (18%)b

7 (13%)b

17 (35%)

 Non-Hispanic

25 (55%)

14 (26%)

4 (5%)b

36 (29%)

  1. Note that percentages do not add up to 100% because “other” race due to small sample sizes were not included
  2. aIndicates p < 0.05 between race or ethnicity
  3. bIndicates p < 0.05 different from ER−/HER2+