CyTOF-based profiling of circulating tumor cells predicts aggressiveness and therapy response in SCLC liquid biopsies at a personalized level.
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| Title: | CyTOF-based profiling of circulating tumor cells predicts aggressiveness and therapy response in SCLC liquid biopsies at a personalized level. |
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| Authors: | Bose M; Department of Cancer Systems Imaging, The University of Texas MD Anderson Cancer Center, Texas 77030., Ruoff C; Department of Cancer Systems Imaging, The University of Texas MD Anderson Cancer Center, Texas 77030.; Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Texas 77030., Ehsan S; Department of Cancer Systems Imaging, The University of Texas MD Anderson Cancer Center, Texas 77030.; Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Texas 77030., Stewart CA; Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Texas 77030., Duarte A Jr; Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Texas 77030., Bhattacharyya S; Department of Cancer Systems Imaging, The University of Texas MD Anderson Cancer Center, Texas 77030., Li J; Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, 111 T W Alexander Dr Rall Building, Research Triangle Park, 27709, Durham, NC, United States., Benedict A; Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, 111 T W Alexander Dr Rall Building, Research Triangle Park, 27709, Durham, NC, United States.; Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, United States., Welte T; Department of Cancer Systems Imaging, The University of Texas MD Anderson Cancer Center, Texas 77030., Victorian A; Department of Cancer Systems Imaging, The University of Texas MD Anderson Cancer Center, Texas 77030., Lujan FE; Department of Cancer Systems Imaging, The University of Texas MD Anderson Cancer Center, Texas 77030., Diao L; Department of Bioinformatics & Computational Biology, The University of Texas MD Anderson Cancer Center, Texas 77030., Wang J; Department of Bioinformatics & Computational Biology, The University of Texas MD Anderson Cancer Center, Texas 77030., Chen K; Department of Bioinformatics & Computational Biology, The University of Texas MD Anderson Cancer Center, Texas 77030., Zhang B; Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Texas 77030., Wang R; Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Texas 77030., Soto LS; Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Texas 77030., Serrano AG; Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Texas 77030., Cardnell R; Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Texas 77030., Gay CM; Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Texas 77030., Byers LA; Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Texas 77030., Karacosta LG; Department of Cancer Systems Imaging, The University of Texas MD Anderson Cancer Center, Texas 77030. |
| Source: | BioRxiv : the preprint server for biology [bioRxiv] 2025 Dec 19. Date of Electronic Publication: 2025 Dec 19. |
| Publication Type: | Journal Article; Preprint |
| Journal Info: | Country of Publication: United States NLM ID: 101680187 Publication Model: Electronic Cited Medium: Internet ISSN: 2692-8205 (Electronic) Linking ISSN: 26928205 NLM ISO Abbreviation: bioRxiv Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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