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Modeling and Bioinformatics Identify Responders to G-CSF in Patients With Amyotrophic Lateral Sclerosis

URN to cite this document:
urn:nbn:de:bvb:355-epub-452566
DOI to cite this document:
10.5283/epub.45256
Johannesen, Siw Wollebæk ; Huie, J. Russell ; Budeus, Bettina ; Peters, Sebastian ; Wirth, Anna M. ; Iberl, Sabine ; Kammermaier, Tina ; Kobor, Ines ; Wirkert, Eva ; Küspert, Sabrina ; Tahedl, Marlene ; Grassinger, Jochen ; Pukrop, Tobias ; Schneider, Armin ; Aigner, Ludwig ; Schulte-Mattler, Wilhelm ; Schuierer, Gerhard ; Koch, Winfried ; Bruun, Tim-Henrik ; Ferguson, Adam R. ; Bogdahn, Ulrich
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Date of publication of this fulltext: 18 Mar 2021 17:22


Abstract

Objective: Developing an integrative approach to early treatment response classification using survival modeling and bioinformatics with various biomarkers for early assessment of filgrastim (granulocyte colony stimulating factor) treatment effects in amyotrophic lateral sclerosis (ALS) patients. Filgrastim, a hematopoietic growth factor with excellent safety, routinely applied in oncology and ...

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