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Genomic and transcriptomic analysis of a library of small cell lung cancer patient-derived xenografts
- Source :
- Nature Communications, Vol 13, Iss 1, Pp 1-12 (2022)
- Publication Year :
- 2022
- Publisher :
- Nature Portfolio, 2022.
-
Abstract
- Creating accurate models of small cell lung cancer is essential to ensure the clinical relevance of results. Here, the authors create patient derived xenograft models from 33 patients and show, through multi-omics sequencing, that these models retain the primary features of the original.
- Subjects :
- Science
Subjects
Details
- Language :
- English
- ISSN :
- 20411723
- Volume :
- 13
- Issue :
- 1
- Database :
- Directory of Open Access Journals
- Journal :
- Nature Communications
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.6db844e570e04ea595ba52c8f6bba923
- Document Type :
- article
- Full Text :
- https://doi.org/10.1038/s41467-022-29794-4