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From The Breast Service, Department of Surgery (MRW, LLM, PIB, HSC), the Department of Pathology (LKT, BS), and the Department of Biostatistics (DYHL), Memorial Sloan-Kettering Cancer Center, New York, New York.
Correspondence: Address correspondence and reprint requests to: Dr. Hiram S. Cody III, The Breast Service, Dept. of Surgery, Memorial Sloan-Kettering Cancer Center, 1275 York Ave., New York, NY 10021; Fax: 212-794-5812; E-mail: codyh{at}mskcc.org
| ABSTRACT |
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Methods: Of the first 1000 patients undergoing SLN biopsy at Memorial Sloan-Kettering Cancer Center, using a combined blue dye and isotope technique, 231 (26%) had positive SLN. Of these, 206 underwent completion ALND. They are the study group for this report.
Results: The likelihood of non-SLN metastasis was inversely related to three clinicopathologic variables: tumor size
1.0 cm; absence of lymphovascular invasion (LVI); and SLN micrometastases (
2 mm). None of 24 patients with all three predictive factors had non-SLN metastases, whereas 58% of patients with none of the factors had disease in the non-SLN.
Conclusion: Patients with small breast cancers, no LVI, and SLN micrometastases have a low risk of non-SLN metastases, and may not require completion ALND.
Key Words: Breast cancer Lymph node metastasis Sentinel node
| INTRODUCTION |
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| METHODS |
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Our technique of SLN mapping used both blue dye and radioisotope in all patients, and has been described in detail previously.27,34 Successful mapping by blue dye required the identification of a blue-stained SLN or a blue-stained lymphatic directly contiguous with a non-blue node. Successful isotope mapping required the ex vivo counts of the SLN to exceed the postexcision axillary background by a factor of at least 4.
Whenever possible (depending on node size), half of each SLN was immediately frozen and banked for research protocols. A portion of the remaining nodal tissue was taken for frozen section, and examined by a single hematoxylin and eosin (H&E)-stained section. The remaining frozen tissue (submitted as a "frozen section control") and all remaining unfrozen nodal tissue was fixed and embedded in paraffin. Serial sections were taken at 50-µm intervals and stained with both H&E and immunohistochemical (IHC) stains for CAM5.2 and AE1:AE3 (Becton Dickinson Immunocytometry Systems, San Jose, CA). An average of three H&E- and two IHC-stained sections were analyzed per SLN. Non-SLN were analyzed with a single H&E-stained section.
Clinicopathologic characteristics were entered prospectively into a database and included patient age, primary tumor size, tumor location, histologic/nuclear grade, presence of lymphovascular invasion (LVI), and size of the metastatic deposit in the SLN. Based on a complete pathologic review of all SLN-positive cases, SLN deposits up to 2 mm (and including SLN that were positive only on IHC) were classified as micrometastases, and those larger than 2 mm were classified as macrometastases. Primary tumor size was dichotomized as 1 cm or less (T1a/b) vs. greater than 1 cm (T1c/T2) for the multivariate analysis.
Clinicopathologic factors associated with non-SLN metastases were assessed by
2 or Fischers exact test when appropriate. Multivariate analysis used stepwise logistic regression.
| RESULTS |
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On univariate analysis, clinicopathologic features associated with non-SLN metastases included primary tumor size, SLN metastasis size, and LVI by the tumor (Table 2). On multivariate analysis, only primary tumor size and SLN metastasis size were independent predictors of non-SLN metastases. The presence of LVI was not an independent predictor of non-SLN metastases, because it was highly correlated with the size of the primary tumor; 22% of patients with T1a/b tumors had LVI, vs. 45% with T1c/T2 tumors (Table 3, P = .003). Within the group of patients with smaller (T1a/b) tumors, LVI significantly predicted non-SLN metastasis (Table 3).
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| DISCUSSION |
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By univariate analysis, smaller tumor size, SLN micrometastasis, and absence of LVI all predicted non-SLN metastases. Other studies have reported comparable results. Disease limited to the SLN was found by Chu et al.36 in 66% and by Reynolds et al.37 in 47% of SLN-positive patients. Both studies find a significant association between non-SLN metastases and (1) larger tumor size and (2) SLN macrometastases. Both also note an association between non-SLN metastasis and LVI, but not at the level of statistical significance. This may simply represent type II statistical error on the basis of small sample size, because the two studies comprise only 157 and 60 cases, respectively. Of note, a follow-up study by Chu et al.38 found a significant association between LVI and non-SLN disease when IHC was added to the pathologic analysis of the non-SLN. All of these findings are quite consistent with the observation that peritumoral LVI is a predictor of both lymph node metastasis and distant relapse.
In our analysis, no single variable predicted non-SLN metastases with sufficient accuracy that ALND could safely be omitted. Although disease in the non-SLN was significantly less likely for smaller tumors, 8% of patients with T1a and 21% of patients with T1b tumors had non-SLN metastases. Similarly, 18% of patients with SLN micrometastases and 26% of patients without LVI had non-SLN disease.
Others have combined two variables, size of tumor and size of SLN metastasis, in an effort to increase the accuracy of prediction. Reynolds et al.37 found no non-SLN disease in 18 patients with T1 tumors (
2 cm in diameter) and SLN micrometastases, and Chu et al.38 found non-SLN disease in none of 14 patients with T1a/b tumors (
1 cm in diameter) and SLN micrometastases. Both studies are limited by small sample size. In the present series, among 29 patients with T1ab tumors and SLN micrometastases, 2 patients (7%) had non-SLN metastases. Using two of the three favorable predictive variables in our own model, 26% of patients still had non-SLN metastases (Table 4).
Although not found to be an independent predictor of non-SLN metastases (because of its correlation with tumor size), LVI significantly enhanced the prediction of non-SLN metastases in patients with smaller tumors (Table 3). The most accurate prediction of non-SLN metastasis arose from the combination of the three variables that proved significant in univariate analysis: tumor size, LVI, and size of SLN metastasis. None of 24 patients with all three predictive variables (tumor
1.0 cm, SLN micrometastasis, and no LVI) had residual disease in the non-SLN, whereas only 43% of 40 patients with none of the three had disease limited to the SLN (Table 4).
A potential weakness in this analysis is that enhanced pathologic analysis (with serial sections and IHC staining) was used only for the SLN, whereas the non-SLN were examined routinely (with a single H&E-stained section), potentially missing non-SLN metastases. Chu et al.38 address this issue. In 157 completion ALND specimens from SLN-positive patients, the addition of IHC to routine H&E increased the detection of non-SLN metastases from 35% to 45%. For patients with T1a/b tumors, non-SLN metastases increased from 10% to 20%. However, the analysis of non-SLN by IHC is costly and labor-intensive, and adds little to the management of a patient already found to be node-positive. It remains unclear from the study of Chu et al.,38 a univariate analysis, whether prediction of non-SLN disease by a combination of histopathologic features might have achieved the same result.
| CONCLUSION |
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1.0 cm, the absence of LVI, and micrometastatic disease in the SLN. None of the 24 patients with all three predictive factors had non-SLN metastases, and this subset of patients may not require a completion ALND. As a cautionary note, a substantial experience was required to generate this very small subset of patients, who represent only 2.4% of our 1000 SLN biopsy procedures. Pending further clinical experience and the results of randomized trials, we feel that completion ALND remains the standard of care for most patients with positive SLN.
| Acknowledgments |
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| Footnotes |
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Received for publication March 17, 2000. Accepted for publication September 13, 2000.
| REFERENCES |
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