Literature DB >> 27189007

Great tumour burden in the axilla may influence lymphatic drainage in breast cancer patients.

Wenbin Zhou1, Yansheng Zhao1,2, Hong Pan1, Qin Li1, Xiuqing Li1, Lin Chen1, Xiaoming Zha1, Qiang Ding1, Cong Wang3, Xiaoan Liu4, Shui Wang5.   

Abstract

We investigated whether great tumour burden in the primary draining lymph node would lead to obstructed lymphatic flow in breast cancer patients. Breast cancer patients with false-negative sentinel lymph nodes (SLNs) were enrolled from January 2001 to March 2011, retrospectively. A further 45 breast cancer patients were recruited prospectively from December 2013 to November 2014. Carbon nanoparticles, a lymphatic tracer, were injected into the subareolar area 24 h before surgery, followed by axillary lymph node dissection. In the SLN cohort, among the 28 false-negative cases, >50 % showed great tumour burden in the axilla. In the carbon nanoparticles cohort, we found that cases with <3 nodes involved in the pathology had more lymph nodes stained by carbon nanoparticles than the subgroup with ≥3 involved nodes (P = 0.003). Nodes stained with carbon nanoparticles showed smaller tumour burdens compared with unstained nodes (P < 0.05). Furthermore, five cases showed metastatic nodes that were not stained with carbon nanoparticles, and all the lymph nodes that were free of metastasis were stained with carbon nanoparticles. Great tumour burden in the axilla might lead to lymphatic flow obstructions in clinical practice. Nevertheless, clinical trials are still needed to validate our findings.

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Keywords:  Axilla; Breast cancer; Lymphatic drainage; Tumour burden

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Year:  2016        PMID: 27189007     DOI: 10.1007/s10549-016-3831-y

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  1 in total

1.  Meta-Analysis of the Diagnostic Value of Tracer Staining Technology Based on Nanocarbon Suspension in Sentinel Lymph Node Biopsy of Breast Cancer.

Authors:  Luhua Xia; Le Chong; Zinan Lu; Xinhua Wang; Zhanfei Dong; Yanping Zhao; Cheng Chang; Gang Sun
Journal:  Comput Math Methods Med       Date:  2022-05-12       Impact factor: 2.809

  1 in total

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