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Positive lymph nodes do not metastasize

Overview of attention for article published in Cancer and Metastasis Reviews, December 2011
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Title
Positive lymph nodes do not metastasize
Published in
Cancer and Metastasis Reviews, December 2011
DOI 10.1007/s10555-011-9343-7
Pubmed ID
Authors

Jutta Engel, Rebecca T. Emeny, Dieter Hölzel

Abstract

Our understanding of the role of lymph nodes (LN) in the metastasization process (MET) is marginal. Positive LNs (pLN) are the most important prognostic factor and lymph node dissection (LND) is still standard practice in primary treatment. However, up to now, there is almost no evidence that elective LND has a survival benefit. Based on many clinical and experimental findings, we propose that tumor foci in regional LN are incapable of metastasization and can therefore not infiltrate further LN and organs. Available data demonstrate a very early infiltration of MET capable tumor cells from the primary tumor into regional LN, and thereafter an increased probability of subsequent LN infiltrations. Disparate growth rates of the first versus subsequent infiltrating tumors as well as the asymptotic growth and prognosis of large tumor foci in LN explain many clinical observations for solid tumors. The consequence of the hypothesis "pLN do not metastasize" would impact clinical treatment and research and contribute to understanding the mounting evidence against LND.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 4%
Unknown 52 96%

Demographic breakdown

Readers by professional status Count As %
Other 8 15%
Researcher 7 13%
Student > Doctoral Student 6 11%
Student > Master 6 11%
Student > Ph. D. Student 5 9%
Other 12 22%
Unknown 10 19%
Readers by discipline Count As %
Medicine and Dentistry 25 46%
Agricultural and Biological Sciences 5 9%
Biochemistry, Genetics and Molecular Biology 3 6%
Physics and Astronomy 2 4%
Computer Science 1 2%
Other 5 9%
Unknown 13 24%