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The landscape of metastatic progression patterns across major human cancers
The majority of patients with solid malignancies die from metastatic burden. However, our current understanding of the mechanisms and resulting patterns of dissemination is limited. Here, we analyzed patterns of metastatic progression across 16 major cancer types in a cohort of 1008 patients with me...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4381616/ https://www.ncbi.nlm.nih.gov/pubmed/25402435 |
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author | Budczies, Jan von Winterfeld, Moritz Klauschen, Frederick Bockmayr, Michael Lennerz, Jochen K. Denkert, Carsten Wolf, Thomas Warth, Arne Dietel, Manfred Anagnostopoulos, Ioannis Weichert, Wilko Wittschieber, Daniel Stenzinger, Albrecht |
author_facet | Budczies, Jan von Winterfeld, Moritz Klauschen, Frederick Bockmayr, Michael Lennerz, Jochen K. Denkert, Carsten Wolf, Thomas Warth, Arne Dietel, Manfred Anagnostopoulos, Ioannis Weichert, Wilko Wittschieber, Daniel Stenzinger, Albrecht |
author_sort | Budczies, Jan |
collection | PubMed |
description | The majority of patients with solid malignancies die from metastatic burden. However, our current understanding of the mechanisms and resulting patterns of dissemination is limited. Here, we analyzed patterns of metastatic progression across 16 major cancer types in a cohort of 1008 patients with metastatic cancer autopsied between 2000 and 2013 to assess cancer specific progression patterns of disease and related risk predictions. The frequency and location of metastases were evaluated in and across 1) 16 major cancers, 2) smoking- and non-smoking-related cancers and 3) adeno- and squamous cell carcinoma. Associations between primary and secondary sites were analyzed by the fractional and the relative risk methods. We detected significantly different cancer specific patterns of metastatic progression with specific relative risk profiles for secondary site involvement. Histology and smoking etiology influenced these patterns. Backward analysis showed that metastatic patterns help to predict unknown primary sites. Solid malignancies maintain a unique and recurrent organ tropism to specific secondary sites which does not appear to be strongly influenced by advances in cancer medicine as shown by comparison with previous data sets. The delineated landscape of metastatic progression patterns is a comprehensive data resource to both clinical and basic scientists which aids fostering new hypotheses for cancer research and cancer therapies. |
format | Online Article Text |
id | pubmed-4381616 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-43816162015-04-09 The landscape of metastatic progression patterns across major human cancers Budczies, Jan von Winterfeld, Moritz Klauschen, Frederick Bockmayr, Michael Lennerz, Jochen K. Denkert, Carsten Wolf, Thomas Warth, Arne Dietel, Manfred Anagnostopoulos, Ioannis Weichert, Wilko Wittschieber, Daniel Stenzinger, Albrecht Oncotarget Clinical Research Paper The majority of patients with solid malignancies die from metastatic burden. However, our current understanding of the mechanisms and resulting patterns of dissemination is limited. Here, we analyzed patterns of metastatic progression across 16 major cancer types in a cohort of 1008 patients with metastatic cancer autopsied between 2000 and 2013 to assess cancer specific progression patterns of disease and related risk predictions. The frequency and location of metastases were evaluated in and across 1) 16 major cancers, 2) smoking- and non-smoking-related cancers and 3) adeno- and squamous cell carcinoma. Associations between primary and secondary sites were analyzed by the fractional and the relative risk methods. We detected significantly different cancer specific patterns of metastatic progression with specific relative risk profiles for secondary site involvement. Histology and smoking etiology influenced these patterns. Backward analysis showed that metastatic patterns help to predict unknown primary sites. Solid malignancies maintain a unique and recurrent organ tropism to specific secondary sites which does not appear to be strongly influenced by advances in cancer medicine as shown by comparison with previous data sets. The delineated landscape of metastatic progression patterns is a comprehensive data resource to both clinical and basic scientists which aids fostering new hypotheses for cancer research and cancer therapies. Impact Journals LLC 2014-11-04 /pmc/articles/PMC4381616/ /pubmed/25402435 Text en Copyright: © 2015 Budczies et al. http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Clinical Research Paper Budczies, Jan von Winterfeld, Moritz Klauschen, Frederick Bockmayr, Michael Lennerz, Jochen K. Denkert, Carsten Wolf, Thomas Warth, Arne Dietel, Manfred Anagnostopoulos, Ioannis Weichert, Wilko Wittschieber, Daniel Stenzinger, Albrecht The landscape of metastatic progression patterns across major human cancers |
title | The landscape of metastatic progression patterns across major human cancers |
title_full | The landscape of metastatic progression patterns across major human cancers |
title_fullStr | The landscape of metastatic progression patterns across major human cancers |
title_full_unstemmed | The landscape of metastatic progression patterns across major human cancers |
title_short | The landscape of metastatic progression patterns across major human cancers |
title_sort | landscape of metastatic progression patterns across major human cancers |
topic | Clinical Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4381616/ https://www.ncbi.nlm.nih.gov/pubmed/25402435 |
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