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

(1) C-X-C Motif Chemokine Receptor 4 (CXCR4) and Fibroblast Activation Protein Alpha (FAP) are promising theranostic targets. However, it is unclear whether CXCR4 and FAP positivity mark distinct microenvironments, especially in solid tumors. (2) Using Random Forest (RF) analysis, we searched for en...

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Veröffentlicht in:	Cancers 2023-01, Vol.15 (2), p.392
Hauptverfasser:	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
Format:	Artikel
Sprache:	eng
Schlagworte:	Angiogenesis Cancer CD8 antigen Chemokine receptors CXCR4 protein Datasets Endothelial cells Fibroblast activation protein Fibroblasts Gene set enrichment analysis Genes Genomes Infiltration Invasiveness Learning algorithms Machine learning Malignancy Metastases Metastasis Microenvironments MicroRNAs miRNA mRNA Positron emission tomography Prostate Solid tumors Tumor-infiltrating lymphocytes Tumors
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