Literature DB >> 33034778

Studying Lymphatic Metastasis in Breast Cancer: Current Models, Strategies, and Clinical Perspectives.

Briana To1, Daniel Isaac2, Eran R Andrechek3.   

Abstract

Breast cancer is the most commonly diagnosed cancer in women and the second most common cause of cancer-related deaths in the United States. Although early detection has significantly decreased breast cancer mortality, patients diagnosed with distant metastasis still have a very poor prognosis. The most common site that breast cancer spreads to are local lymph nodes. Therefore, the presence of lymph node metastasis remains one of most important prognostic factors in breast cancer patients. Given its significant clinical implications, increased efforts have been dedicated to better understand the molecular mechanism governing lymph node metastasis in breast cancer. The identification of lymphatic-specific biomarkers, including podoplanin and LYVE-1, has propelled the field of lymphatic metastasis forward. In addition, several animal models such as cell line-derived xenografts, patient-derived xenografts, and spontaneous tumor models have been developed to recreate the process of lymphatic metastasis. Moreover, the incorporation of various -omic platforms have provided further insight into the genetic drivers facilitating lymphatic metastasis, as well as potential biomarkers and therapeutic targets. Here, we highlight various models of lymphatic metastasis, their potential pitfalls, and other tools available to study lymphatic metastasis including imaging modalities and -omic studies.

Entities:  

Keywords:  Lymphatic metastasis, Mouse models, Breast Cancer

Year:  2020        PMID: 33034778     DOI: 10.1007/s10911-020-09460-5

Source DB:  PubMed          Journal:  J Mammary Gland Biol Neoplasia        ISSN: 1083-3021            Impact factor:   2.673


  3 in total

1.  Sensitive and specific detection of breast cancer lymph node metastasis through dual-modality magnetic particle imaging and fluorescence molecular imaging: a preclinical evaluation.

Authors:  Guorong Wang; Wenzhe Li; Guangyuan Shi; Yu Tian; Lingyan Kong; Ning Ding; Jing Lei; Zhengyu Jin; Jie Tian; Yang Du
Journal:  Eur J Nucl Med Mol Imaging       Date:  2022-05-20       Impact factor: 10.057

2.  Innate lymphoid cells: NK and cytotoxic ILC3 subsets infiltrate metastatic breast cancer lymph nodes.

Authors:  Louise Rethacker; Maxime Boy; Valeria Bisio; France Roussin; Jordan Denizeau; Anne Vincent-Salomon; Edith Borcoman; Christine Sedlik; Eliane Piaggio; Antoine Toubert; Nicolas Dulphy; Anne Caignard
Journal:  Oncoimmunology       Date:  2022-03-30       Impact factor: 8.110

3.  Preoperative Prediction of Axillary Lymph Node Metastasis in Breast Cancer Based on Intratumoral and Peritumoral DCE-MRI Radiomics Nomogram.

Authors:  Ying Liu; Xing Li; Lina Zhu; Zhiwei Zhao; Tuan Wang; Xi Zhang; Bing Cai; Li Li; Mingrui Ma; Xiaojian Ma; Jie Ming
Journal:  Contrast Media Mol Imaging       Date:  2022-08-18       Impact factor: 3.009

  3 in total

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