Literature DB >> 10924982

The relationship between lymphatic vessell invasion, tumor size, and pathologic nodal status: can we predict who can avoid a third field in the absence of axillary dissection?

J S Wong1, A O'Neill, A Recht, S J Schnitt, J L Connolly, B Silver, J R Harris.   

Abstract

PURPOSE: Tangential (2-field) radiation therapy to the breast and lower axilla is typically used in our institution for treating patients with early-stage breast cancer who have 0-3 positive axillary nodes, as determined by axillary dissection, whereas a third supraclavicular/axillary field is added for patients with 4 or more positive nodes. However, dissection may result in complications and added expense. We, therefore, assessed whether clinical or pathologic factors of the primary tumor could reliably predict, in the absence of an axillary dissection, which patients with clinically negative axillary nodes have such limited pathologic nodal involvement that they might be effectively treated with only tangential fields. This would eliminate both the complications of axillary dissection and the added complexity and potential morbidity of a supraclavicular/axillary field. METHODS AND MATERIALS: In this study, 722 women with clinical Stage I or II unilateral invasive breast cancer of infiltrating ductal histology, with clinically negative axillary nodes, at least 6 lymph nodes recovered on axillary dissection, and central pathology review were treated with breast-conserving therapy from 1968 to 1987. Pathologic nodal status was assessed in relation to clinical T stage, the presence of lymphatic vessel invasion (LVI), age, histologic grade, and the location of the primary tumor.
RESULTS: LVI, T stage, and tumor location were each significantly correlated with nodal status on univariate analysis. Ninety-seven percent of LVI-negative patients had 0-3 positive axillary nodes compared to 87% of LVI-positive patients. There was no association between T stage and extent of axillary involvement within LVI-negative and LVI-positive subgroups. In a logistic regression model, only LVI remained a significant predictor of having 4 or more positive nodes, although tumor size was of borderline significance. The odds ratio for LVI (positive vs. negative) as a predictor of having 4 or more positive nodes was 3.9 (95% CI, 2.0-7.6).
CONCLUSION: For patients with clinical T1-2, N0, infiltrating ductal carcinomas, the presence of LVI is predictive of having 4 or more positive axillary nodes. Only 3% of patients with clinical T1-2, N0, LVI-negative breast cancers had 4 or more positive nodes on axillary dissection. Such patients may be reasonable candidates for treatment with tangential radiation fields in the absence of axillary dissection.

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Year:  2000        PMID: 10924982     DOI: 10.1016/s0360-3016(00)00605-2

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  6 in total

1.  Clinical and Pathological Factors Affecting the Sentinel Lymph Node Metastasis in Patients with Breast Cancer.

Authors:  Önder Karahallı; Turan Acar; Murat Kemal Atahan; Nihan Acar; Mehmet Hacıyanlı; Kemal Erdinç Kamer
Journal:  Indian J Surg       Date:  2016-05-04       Impact factor: 0.656

2.  Association between well-known histopathological criteria and overall survival in invasive ductal carcinoma.

Authors:  Aysenur Deger; Filiz Ozyigit; Ozlem Arik; Fatih Ekici; Ahmet Cinkaya; Mahir Tayfur; Hakki Deger
Journal:  Int J Clin Exp Pathol       Date:  2015-09-01

3.  D2-40, Podoplanin, and CD31 as a Prognostic Predictor in Invasive Ductal Carcinomas of the Breast.

Authors:  Jung Ah Lee; Jeoung Won Bae; Sang Uk Woo; Hyunchul Kim; Chul Hwan Kim
Journal:  J Breast Cancer       Date:  2011-06-18       Impact factor: 3.588

4.  Prediction of axillary lymph node metastases in breast cancer patients based on pathologic information of the primary tumor.

Authors:  Jia-Long Wu; Hsin-Shun Tseng; Li-Heng Yang; Hwa-Koon Wu; Shou-Jen Kuo; Shou-Tung Chen; Dar-Ren Chen
Journal:  Med Sci Monit       Date:  2014-04-08

5.  A Machine Learning Approach for the Association of ki-67 Scoring with Prognostic Factors.

Authors:  E Dirican; E Kiliç
Journal:  J Oncol       Date:  2018-08-07       Impact factor: 4.375

6.  Tumor characteristics of breast cancer in predicting axillary lymph node metastasis.

Authors:  Hsin-Shun Tseng; Li-Sheng Chen; Shou-Jen Kuo; Shou-Tung Chen; Yu-Fen Wang; Dar-Ren Chen
Journal:  Med Sci Monit       Date:  2014-07-07
  6 in total

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