RESULTS

Patient and tumor characteristics stratified by ALNM status are presented in Table 1. A total of 919 patients were identified with breast carcinomas < 1.0 cm. These included 199 patients (22.0%) with T1a tumors and 720 patients (78.0%) with T1b tumors. The age of the patients ranged from 24 to 90 years with a mean and median age of 57.5 years and 57.0 years, respectively. ALNM was detected in 165 patients giving an overall incidence of 18.0%. ALNM was detected in 32 patients with T1a and 133 patients with T1b tumors, yielding an overall incidence of nodal disease in 16.0% and 18.5%, respectively. The majority of patients were Caucasian (95%). Infiltrating ductal carcinoma was the predominant histologic type seen in 808 patients (88%), followed by infiltrating lobular in 92 patients (10%). There were no differences in ALNM among the different histologic types.

Table 1. Patient and Tumor Characteristics (n = 919)


Variable n Node-positive (n = 165) Node-negative (n = 754)

Mean age (yr) ± SD: 919 55.4 ± 11.3 58.0 ± 12.0
Age groups (yr)*       
  < 30
  30-39
  40-49
  50-59
  60-69
  > 70
6
74
195
267
233
164
0%
30%
18%
20%
18%
12%
100%
70%
82%
80%
82%
82%
Tumor diameter (cm)†      
  0.10
  0.20
  0.30
  0.40
  0.50
  0.60
  0.70
  0.80
  0.90
  1.00
21
21
22
40
95
56
89
135
99
341
10%
5%
14%
15%
21%
7%
15%
18%
15%
23%
90%
95%
86%
85%
79%
93%
85%
82%
85%
77%
Tumor grade‡       
  1
  2
  3  
205
240
76
13%
16%
29%
87%
84%
71% 
Lymphatic invasion§       
  Yes
  No  
28
450
50%
15%
50%
85%
Palpable mass||       
  Yes
  No
250
103
19%
12%
81%
88%
ER + status¶       
  Yes
  No
337
86
17%
23%
83%
77%
PR + status#       
  Yes
  No
276
139
17%
19%
83%
81%

*p = 0.04 by chi-square test for trend.
†p = 0.01 by chi-square test for trend.
‡p = 0.01 by chi-square test for trend (unknown, n = 398).
§p > 0.0001 by Fisher's exact test (unknown, n = 441).
||p = 0.10 by chi-square test (unknown, n = 566).
¶p = 0.17 by chi-square test (unknown, n = 496).
#p = 0.61 by chi-square test (unknown, n = 504).

The univariate relationship between clinical and pathologic variables and ALNM status is presented in Table 2. Four variables were found to be significant in univariate analysis. These included: increasing size of the tumor, poor histologic grade, the presence of lymphatic or vascular invasion, and younger age of the patient. Increasing size of the tumor was significantly associated with an increased risk of ALNM and was demonstrated for each 1-mm increase in size (OR = 2.66, 95% CI = 1.28 to 5.75; p = 0.01). Increasing or poorer histologic grade was significantly associated with nodal disease (OR = 2.69, p = 0.003). Patients with ALNM were more likely to have a tumor grade of 3 (25.0% ALNM versus 12.5% node-negative, p = 0.004). The presence of lymphatic or vascular invasion was also a significant factor for ALNM (OR = 5.52, p = 0.0001), with 17.0% of patients with ALNM having positive invasion compared with only 3.5% in node-negative patients (p < 0.0001).

Table 2. Univariate Analysis of Factors Associated with Axillary Lymph Node Metastases (n = 919)


Factor Unadjusted odds ratio and 95% confidence interval p Value

Age (yr)*    
  < 50
  > 50
1.00 (referent) 
0.98 (0.96, 0.99)

0.01
Tumor diameter (cm)† 2.66 (1.28, 5.75) 0.01
Tumor grade‡    
  1
  2
  3  
1.00 (referent)
1.28 (0.76, 2.19)
2.69 (1.41, 5.10)
 
0.36
0.003
Lymphatic invasion§    
  No
  Yes
1.00 (referent)
5.52 (2.51, 12.19)  
 
0.0001
Palpable mass||    
  No
  Yes
1.00 (referent)
1.76 (0.92, 3.61)
 
0.10
ER+ status¶    
  No
  Yes
1.00 (referent)
0.67 (0.38, 1.22)
 
0.17
PR+ status#    
  No
  Yes  
1.00 (referent)
0.87 (0.52, 1.49)
 
0.61

*Treated as a continuous variable (for each 1 year increase).
†Treated as a continuous variable (for each 0.10-cm increase).
‡Unknown, n = 398.
§Unknown, n = 441.
||Unknown, n = 566.
¶Unknown, n = 496.
#Unknown, n = 504.

Additional multivariate logistic regression was performed on those variables found to be statistically significant in univariate analysis. We were unable to include lymphatic and vascular invasion as a factor in the multivariate analysis because of insufficient data to support the final model. The relationship among the three remaining clinical and pathologic factors and ALNM status are presented in Table 3. Again, increasing tumor size (adjusted OR = 3.58, p = 0.03), poor histologic grade (adjusted OR = 2.45, p = 0.01), and younger age (adjusted OR = 0.61, p = 0.05) were all significant independent factors for ALNM.

Table 3. Multivariate Analysis of Factors Associated with Axillary Lymph Node Metastases (n = 919)


Factor Adjusted odds ratio and 95% confidence interval  p Value

Age (yr)†    
  < 50
  > 50
1.00 (referent)
0.61 (0.37, 1.02)

0.05
Tumor diameter (cm)‡ 3.58 (1.18, 11.89) 0.03
Tumor grade     
  1
  2
  3  
1.00 (referent) 
1.26 (0.74, 2.17)
2.45 (1.27, 4.68)
 
0.40
0.01

*Adjusted for all other variables in a logistic regression model
†Treated as a continuous variable (for each 1 year increase).
‡Treated as a continuous variable (for each 0.10-cm increase).
§Unknown, n = 398.

When four of the favorable clinical and pathologic parameters were analyzed, that is, in patients 50 years of age or older with T1a (< 5-mm) tumors that were well-differentiated and lacked lymphatic or vascular invasion, a total of 108 patients were identified. With all the favorable factors taken into account, 14 patients (13%) were still identified as having ALNM. When age increased to more than 60 years and all other parameters remained the same, 6 of 69 patients (8.7%) had ALNM.

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