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  The cancer stem cell fraction in hierarchically organized tumors can be estimated using mathematical modeling and patient-specific treatment trajectories

Werner, B., Scott, J. G., Sottoriva, A., Anderson, A. R., Traulsen, A., & Altrock, P. M. (2016). The cancer stem cell fraction in hierarchically organized tumors can be estimated using mathematical modeling and patient-specific treatment trajectories. Cancer research: an official organ of the American Association for Cancer Research, 76(7). doi:10.1158/0008-5472.CAN-15-2069.

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 Urheber:
Werner, Benjamin1, Autor           
Scott, Jacob G., Autor
Sottoriva, Andrea, Autor
Anderson, Alexander R.A., Autor
Traulsen, Arne1, Autor           
Altrock, Philipp M.2, Autor           
Affiliations:
1Department Evolutionary Theory, Max Planck Institute for Evolutionary Biology, Max Planck Society, ou_1445641              
2External, ou_persistent22              

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 Zusammenfassung: Cancers arise as a result of genetic and epigenetic alterations. These accumulate in cells during the processes of tissue development, homeostasis and repair. Many tumor types are hierarchically organized and driven by a sub-population of cells often called cancer stem cells. Cancer stem cells are uniquely capable of recapitulating the tumor and can be highly resistant to radio- and chemotherapy treatment. We investigate tumor growth patterns from a theoretical standpoint and show how significant changes in pre- and post-therapy tumor dynamics are tied to the dynamics of cancer stem cells. We identify two characteristic growth regimes of a tumor population that can be leveraged to estimate cancer stem cell fractions in vivo using simple linear regression. Our method is a mathematically exact result, parameter free and does not require any microscopic knowledge of the tumor properties. A more accurate quantification of the direct link between the sub-population driving tumor growth and treatment response promises new ways to individualize treatment strategies.

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Sprache(n): eng - English
 Datum: 2015-12-152015-08-032016-01-172016-022016-06
 Publikationsstatus: Erschienen
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 Identifikatoren: DOI: 10.1158/0008-5472.CAN-15-2069
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Titel: Cancer research : an official organ of the American Association for Cancer Research
  Andere : Cancer Res.
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: Baltimore, Md. : Waverly Press
Seiten: - Band / Heft: 76 (7) Artikelnummer: - Start- / Endseite: - Identifikator: ISSN: 0008-5472
CoNE: https://pure.mpg.de/cone/journals/resource/991042743115962