| Literature DB >> 29271113 |
Nai-Si Huang1,2, Jing Si1,2, Ben-Long Yang1,2, Chen-Lian Quan1,2, Jia-Jian Chen1,2, Jiong Wu1,2,3.
Abstract
The aim of this study was to investigate the trends of axillary lymph node evaluation in ductal carcinoma in situ (DCIS) patients treated with breast-conserving therapy (BCT) and to identify the clinicopathological predictors of axillary evaluation. DCIS patients treated with BCT in 2006-2015 at our institute were retrospectively included in the analysis. Patients were categorized into three groups: sentinel lymph node biopsy (SLNB), axillary lymph node dissection (ALND), and non-evaluation. Univariate and multivariate logistic regression analyses were performed to identify factors that predicted axillary evaluation. A total of 315 patients were identified, among whom 135 underwent SLNB, and 15 underwent ALND. The proportion of patients who underwent axillary evaluation increased from 33.0% in 2006-2010 to 53.8% in 2011-2015 (P < 0.001), however, no patients had lymph node metastasis based on final pathology. In multivariate analysis, high-grade tumor favored axillary evaluation (OR = 4.376, 95% CI:1.410-13.586, P = 0.011); while excision biopsy favored no axillary evaluation compared with other biopsy methods (OR = 0.418, 95% CI: 0.192-0.909, P = 0.028). Subgroup analysis of patients treated in 2011-2015 revealed that high-grade tumor (OR = 5.898, 95% CI: 1.626-21.390, P = 0.007) and palpable breast lump (OR = 2.497, 95% CI: 1.037-6.011, P = 0.041) were independent predictors of axillary lymph node evaluation. Despite the significant decrease in ALND and a concerning overuse of SLNB, we identified no axillary lymph node metastasis, which justified omitting axillary evaluation in these patients. High-grade tumor, palpable lump, and biopsy method were independent predictors of axillary evaluations. Excision biopsy of suspicious DCIS lesions may potentially preclude the invasive component of the disease and help to avoid axillary surgery.Entities:
Keywords: Axillary evaluation; Ductal carcinoma in situ; breast-conserving therapy; sentinel lymph node biopsy
Mesh:
Year: 2017 PMID: 29271113 PMCID: PMC5774004 DOI: 10.1002/cam4.1252
Source DB: PubMed Journal: Cancer Med ISSN: 2045-7634 Impact factor: 4.452
Baseline clinicopathological characteristics of patients according to axillary evaluation status
| Variables | Total | % | Axillary evaluation | % | No axillary evaluation | % |
|
|---|---|---|---|---|---|---|---|
| Age | |||||||
| ≤50 | 205 | 65.1 | 105 | 70.0 | 100 | 60.6 | 0.081 |
| >50 | 110 | 34.9 | 45 | 30.0 | 65 | 39.4 | |
| Menopause | |||||||
| No | 216 | 68.6 | 110 | 73.3 | 106 | 64.2 | 0.057 |
| Yes | 95 | 30.2 | 40 | 26.7 | 55 | 33.3 | |
| Unknown | 4 | 1.3 | 0 | 0.0 | 4 | 2.4 | |
| BC family history | |||||||
| No | 292 | 92.7 | 137 | 91.3 | 155 | 93.9 | 0.375 |
| Yes | 23 | 7.3 | 13 | 8.7 | 10 | 6.1 | |
| Benign breast disease history | |||||||
| No | 289 | 91.7 | 137 | 91.3 | 152 | 92.1 | 0.800 |
| Yes | 26 | 8.3 | 13 | 8.7 | 13 | 7.9 | |
| Lump | |||||||
| Yes | 222 | 70.5 | 118 | 78.7 | 104 | 63.0 |
|
| No | 89 | 28.3 | 31 | 20.7 | 58 | 35.2 | |
| Unknown | 4 | 1.3 | 1 | 0.7 | 3 | 1.8 | |
| Lump size on PE | |||||||
| <2 cm | 81 | 25.7 | 42 | 28.0 | 39 | 23.6 | 0.100 |
| ≥2 cm | 80 | 25.4 | 44 | 29.3 | 36 | 21.8 | |
| Unknown | 154 | 48.9 | 64 | 42.7 | 90 | 54.5 | |
| Quadrant | |||||||
| Upper outer | 128 | 40.6 | 68 | 45.3 | 60 | 36.4 | 0.221 |
| Others | 173 | 54.9 | 77 | 51.3 | 96 | 58.2 | |
| Unknown | 14 | 4.4 | 5 | 3.3 | 9 | 5.5 | |
| MRI | |||||||
| Yes | 214 | 67.9 | 113 | 75.3 | 101 | 61.2 |
|
| No | 101 | 32.1 | 37 | 24.7 | 64 | 38.8 | |
| Excision biopsy | |||||||
| Yes | 204 | 64.8 | 83 | 55.3 | 121 | 73.3 |
|
| No | 111 | 35.2 | 67 | 44.7 | 44 | 26.7 | |
| Tumor size on pathology | |||||||
| ≤1 cm | 103 | 32.7 | 39 | 26.0 | 64 | 38.8 |
|
| >1 cm | 75 | 23.8 | 54 | 36.0 | 21 | 12.7 | |
| Unknown | 137 | 43.5 | 57 | 38.0 | 80 | 48.5 | |
| Grade | |||||||
| Low | 90 | 28.6 | 30 | 20.0 | 60 | 36.4 |
|
| Median | 122 | 38.7 | 61 | 40.7 | 61 | 37.0 | |
| High | 52 | 16.5 | 36 | 24.0 | 16 | 9.7 | |
| Unknown | 51 | 16.2 | 23 | 15.3 | 28 | 17.0 | |
| ER | |||||||
| Positive | 247 | 78.4 | 116 | 77.3 | 131 | 79.4 | 0.562 |
| Negative | 38 | 12.1 | 21 | 14.0 | 17 | 10.3 | |
| Unknown | 30 | 9.5 | 13 | 8.7 | 17 | 10.3 | |
| PR | |||||||
| Positive | 237 | 75.2 | 110 | 73.3 | 127 | 77.0 | 0.698 |
| Negative | 51 | 16.2 | 27 | 18.0 | 24 | 14.5 | |
| Unknown | 27 | 8.6 | 13 | 8.7 | 14 | 8.5 | |
| HER2 | |||||||
| Negative | 73 | 23.2 | 24 | 16.0 | 49 | 29.7 |
|
| 1+ | 95 | 30.2 | 43 | 28.7 | 52 | 31.5 | |
| 2+ | 67 | 21.3 | 35 | 23.3 | 32 | 19.4 | |
| 3+ | 45 | 14.3 | 31 | 20.7 | 14 | 8.5 | |
| Unknown | 35 | 11.1 | 17 | 11.3 | 18 | 10.9 | |
BC, breast cancer; PE, physical examination; MRI, magnetic resonance imaging; ER, estrogen receptor; PR, progesterone receptor; HER2, human epidermal growth factor receptor 2.
Trends in axillary evaluation from 2006 to 2015 in FUSCC
| Year | Total | Axillary evaluation | % | SLNB | % | ALND | % |
|---|---|---|---|---|---|---|---|
| 2006 | 4 | 1 | 25.0 | 0 | 0.0 | 1 | 25.0 |
| 2007 | 15 | 3 | 20.0 | 1 | 6.7 | 2 | 13.3 |
| 2008 | 22 | 6 | 27.3 | 1 | 4.5 | 5 | 22.7 |
| 2009 | 28 | 13 | 46.4 | 10 | 35.7 | 3 | 10.7 |
| 2010 | 25 | 8 | 32.0 | 6 | 24.0 | 2 | 8.0 |
| 2011 | 34 | 15 | 44.1 | 15 | 44.1 | 0 | 0.0 |
| 2012 | 36 | 22 | 61.1 | 22 | 61.1 | 0 | 0.0 |
| 2013 | 31 | 15 | 48.4 | 15 | 48.4 | 0 | 0.0 |
| 2014 | 55 | 30 | 54.5 | 29 | 52.7 | 1 | 1.8 |
| 2015 | 65 | 37 | 56.9 | 36 | 55.4 | 1 | 1.5 |
| Total | 315 | 150 | 47.6 | 135 | 42.9 | 15 | 4.8 |
SLNB, sentinel lymph node biopsy; ALND, axillary lymph node dissection.
Figure 1Trends in axillary evaluation in FUSCC. A, the proportion of patients who underwent axillary lymph node dissection (ALND) and sentinel lymph node biopsy (SLNB) from 2006 to 2015. B, the percentages of patients who underwent ALND, SLNB, and no axillary lymph node evaluation in 2006–2010 and 2011–2015.
Figure 2Univariate logistic regression analysis of predictive factors for axillary lymph node evaluation.
Figure 3Multivariate logistic regression analysis of predictive factors for axillary lymph node evaluation.
Figure 4Multivariate logistic regression analysis of predictive factors for axillary lymph node evaluation in 2011–2015.