Title |
EMT, stemness, and drug resistance in biological context: a 3D tumor tissue/in silico platform for analysis of combinatorial treatment in NSCLC with aggressive KRAS-biomarker signatures / Matthias Peindl, Claudia Göttlich, Samantha Crouch, Niklas Hoff, Tamara Lüttgens, Franziska Schmitt, Jesús Guillermo Nieves Pereira, Celina May, Anna Schliermann, Corinna Kronenthaler, Danjouma Cheufou, Simone Reu-Hofer, Andreas Rosenwald, Elena Weigl, Thorsten Walles, Julia Schüler, Thomas Dandekar, Sarah Nietzer, Gudrun Dandekar |
|---|---|
Involved |
Matthias Peindl (Verfasser)
Claudia Göttlich (Verfasser) Samantha Crouch (Verfasser) Niklas Hoff (Verfasser)
Tamara Lüttgens (Verfasser)
Franziska Schmitt (Verfasser) Jesús Guillermo Nieves Pereira (Verfasser) Celina May (Verfasser) Anna Schliermann (Verfasser) Corinna Kronenthaler (Verfasser) Danjouma Cheufou (Verfasser) Simone Reu-Hofer (Verfasser) Andreas Rosenwald (Verfasser) Elena Weigl (Verfasser) Thorsten Walles (Verfasser) Julia Schüler (Verfasser) Thomas Dandekar (Verfasser) Sarah Nietzer (Verfasser) Gudrun Dandekar (Verfasser) |
Published |
Würzburg: Universität Würzburg |
Extent |
Online-Ressource |
Language |
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Country |
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Topic |
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Subject |
EMT
drug resistance invasion stemness
3D lung tumor tissue models
KRAS biomarker signatures boolean in silico models targeted combination therapy |
DDC notation |
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Persistent identifier |
urn:nbn:de:bvb:20-opus-270744 (URN) |
Further information |
In: Cancers (2022) 14:9, 2176. https://doi.org/10.3390/cancers14092176 |
Record ID |
1280805994 |
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