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Multiomics surface receptor profiling of the NCI-60 tumor cell panel uncovers novel theranostics for cancer immunotherapy.
Heumos, Simon; Dehn, Sandra; Bräutigam, Konstantin; Codrea, Marius C; Schürch, Christian M; Lauer, Ulrich M; Nahnsen, Sven; Schindler, Michael.
Afiliação
  • Heumos S; Quantitative Biology Center (QBiC), University of Tübingen, 72076, Tübingen, Germany.
  • Dehn S; Biomedical Data Science, Dept. of Computer Science, University of Tübingen, 72076, Tübingen, Germany.
  • Bräutigam K; Institute for Medical Virology and Epidemiology of Viral Diseases, University Hospital Tübingen, Tübingen, Germany.
  • Codrea MC; Institute of Pathology, University of Bern, 3008, Bern, Switzerland.
  • Schürch CM; Quantitative Biology Center (QBiC), University of Tübingen, 72076, Tübingen, Germany.
  • Lauer UM; Department of Pathology and Neuropathology, University Hospital and Comprehensive Cancer Center Tübingen, Tübingen, Germany.
  • Nahnsen S; Department of Internal Medicine VIII, Medical Oncology and Pneumology, Virotherapy Center Tübingen (VCT), Medical University Hospital Tübingen, 72076, Tübingen, Germany.
  • Schindler M; German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Partner Site Tübingen, 72076, Tübingen, Germany.
Cancer Cell Int ; 22(1): 311, 2022 Oct 11.
Article em En | MEDLINE | ID: mdl-36221114
BACKGROUND: Immunotherapy with immune checkpoint inhibitors (ICI) has revolutionized cancer therapy. However, therapeutic targeting of inhibitory T cell receptors such as PD-1 not only initiates a broad immune response against tumors, but also causes severe adverse effects. An ideal future stratified immunotherapy would interfere with cancer-specific cell surface receptors only. METHODS: To identify such candidates, we profiled the surface receptors of the NCI-60 tumor cell panel via flow cytometry. The resulting surface receptor expression data were integrated into proteomic and transcriptomic NCI-60 datasets applying a sophisticated multiomics multiple co-inertia analysis (MCIA). This allowed us to identify surface profiles for skin, brain, colon, kidney, and bone marrow derived cell lines and cancer entity-specific cell surface receptor biomarkers for colon and renal cancer. RESULTS: For colon cancer, identified biomarkers are CD15, CD104, CD324, CD326, CD49f, and for renal cancer, CD24, CD26, CD106 (VCAM1), EGFR, SSEA-3 (B3GALT5), SSEA-4 (TMCC1), TIM1 (HAVCR1), and TRA-1-60R (PODXL). Further data mining revealed that CD106 (VCAM1) in particular is a promising novel immunotherapeutic target for the treatment of renal cancer. CONCLUSION: Altogether, our innovative multiomics analysis of the NCI-60 panel represents a highly valuable resource for uncovering surface receptors that could be further exploited for diagnostic and therapeutic purposes in the context of cancer immunotherapy.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Cancer Cell Int Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Alemanha

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Cancer Cell Int Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Alemanha