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Genomic and transcriptomic analysis of a library of small cell lung cancer patient-derived xenografts

Authors :
Rebecca Caeser
Jacklynn V. Egger
Shweta Chavan
Nicholas D. Socci
Caitlin Byrne Jones
Faruk Erdem Kombak
Marina Asher
Michael H. Roehrl
Nisargbhai S. Shah
Viola Allaj
Parvathy Manoj
Sam E. Tischfield
Amanda Kulick
Maximiliano Meneses
Christine A. Iacobuzio-Donahue
W. Victoria Lai
Umeshkumar Bhanot
Marina K. Baine
Natasha Rekhtman
Travis J. Hollmann
Elisa de Stanchina
John T. Poirier
Charles M. Rudin
Triparna Sen
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

Subjects :
Science

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