Predicting Microenvironment in CXCR4- and FAP-Positive Solid Tumors—A Pan-Cancer Machine Learning Workflow for Theranostic Target Structures

SIMPLE SUMMARY: Imaging based on positron emission tomography (PET) is a crucial part of up-to-date cancer care. For this purpose, PET employs and marks target structures at the cellular surface. Recently, C-X-C Motif Chemokine Receptor 4 (CXCR4) and Fibroblast Activation Protein Alpha (FAP) emerged...

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Detalles Bibliográficos
Autores principales: Marquardt, André, Hartrampf, Philipp, Kollmannsberger, Philip, Solimando, Antonio G., Meierjohann, Svenja, Kübler, Hubert, Bargou, Ralf, Schilling, Bastian, Serfling, Sebastian E., Buck, Andreas, Werner, Rudolf A., Lapa, Constantin, Krebs, Markus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9856808/
https://www.ncbi.nlm.nih.gov/pubmed/36672341
http://dx.doi.org/10.3390/cancers15020392

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9856808/
https://www.ncbi.nlm.nih.gov/pubmed/36672341
http://dx.doi.org/10.3390/cancers15020392

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