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Table 4 Comparison of the molecular subtypes among the five Brazilian geographic regions according to age of patients at diagnosis

From: Geographic differences in the distribution of molecular subtypes of breast cancer in Brazil

Geographic regions

Molecular subtypes

Luminal A

Luminal B

Triple-positive

HER2

Triple-negative

Age at diagnosis

<50y

≥50y

<50y

≥50y

<50y

≥50y

<50y

≥50y

<50y

≥50y

Southeast

188/810 (23.2%)

519/1651 (31.4%)

332/810 (41.0%)

639/1651 (38.7%)

94 /810 (11.6%)

144/1651 (8.7%)

60/810 (7.4%)

135/1651 (8.2%)

135/810 (16.7%)

210/1651 (12.7%)

South

91/387 (23.5%)

233/669 (34.8%)

150/387 (38.7%)

238 /669 (35.6%)

57/387 (14.7%)

57/669 (8.5%)

25/387 (6.5%)

46/669 (6.9%)

63/387 (16.3%)

91/669 (13.6%)

Northeast

58/348 (16.7%)

168/592 (28.4%)

130/348 (37.3%)

217/592 (36.7%)

58/348 (16.7%)

42/592 (7.1%)

37/348 (10.6%)

62/592 (10.5%)

64/348 (18.4%)

99/592 (16.7%)

Central West

43/218 (19.7%)

100/332 (30.1%)

80/218 (36.7%)

110/332 (33.1%)

37/218 (17.0%)

34/332 (10.2%)

19/218 (8.7%)

30/332 (9.0%)

39/218 (17.9%)

56/332 (16.9%)

North

36/262 (13.7%)

135/415 (32.5%)

90 /262 (34.3%)

118/415 (28.4%)

28/262 (10.7%)

40/415 (9.6%)

35/262 (13.4%)

56/415 (13.5%)

72/262 (27.5%)

65/415 (15.6%)

  1. Chi square test, patients <50y, p = 0.0001; Chi-square test, patients ≥50y, p = 0.001.