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

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 Stanchina, John T. Poirier, Charles M. Rudin () and Triparna Sen ()
Additional contact information
Rebecca Caeser: Memorial Sloan Kettering Cancer Center
Jacklynn V. Egger: Memorial Sloan Kettering Cancer Center
Shweta Chavan: Memorial Sloan Kettering Cancer Center
Nicholas D. Socci: Bioinformatics Core, Memorial Sloan Kettering Cancer Center
Caitlin Byrne Jones: Bioinformatics Core, Memorial Sloan Kettering Cancer Center
Faruk Erdem Kombak: Memorial Sloan Kettering Cancer Center
Marina Asher: Memorial Sloan Kettering Cancer Center
Michael H. Roehrl: Memorial Sloan Kettering Cancer Center
Nisargbhai S. Shah: Memorial Sloan Kettering Cancer Center
Viola Allaj: Memorial Sloan Kettering Cancer Center
Parvathy Manoj: Memorial Sloan Kettering Cancer Center
Sam E. Tischfield: Memorial Sloan Kettering Cancer Center
Amanda Kulick: Memorial Sloan Kettering Cancer Center
Maximiliano Meneses: Memorial Sloan Kettering Cancer Center
Christine A. Iacobuzio-Donahue: Memorial Sloan Kettering Cancer Center
W. Victoria Lai: Memorial Sloan Kettering Cancer Center
Umeshkumar Bhanot: Memorial Sloan Kettering Cancer Center
Marina K. Baine: Memorial Sloan Kettering Cancer Center
Natasha Rekhtman: Memorial Sloan Kettering Cancer Center
Travis J. Hollmann: Memorial Sloan Kettering Cancer Center
Elisa Stanchina: Memorial Sloan Kettering Cancer Center
John T. Poirier: New York University Langone Health
Charles M. Rudin: Memorial Sloan Kettering Cancer Center
Triparna Sen: Memorial Sloan Kettering Cancer Center

Nature Communications, 2022, vol. 13, issue 1, 1-12

Abstract: Abstract Access to clinically relevant small cell lung cancer (SCLC) tissue is limited because surgical resection is rare in metastatic SCLC. Patient-derived xenografts (PDX) and circulating tumor cell-derived xenografts (CDX) have emerged as valuable tools to characterize SCLC. Here, we present a resource of 46 extensively annotated PDX/CDX models derived from 33 patients with SCLC. We perform multi-omic analyses, using targeted tumor next-generation sequencing, RNA-sequencing, and immunohistochemistry to deconvolute the mutational landscapes, global expression profiles, and molecular subtypes of these SCLC models. SCLC subtypes characterized by transcriptional regulators, ASCL1, NEUROD1 and POU2F3 are confirmed in this cohort. A subset of SCLC clinical specimens, including matched PDX/CDX and clinical specimen pairs, confirm that the primary features and genomic and proteomic landscapes of the tumors of origin are preserved in the derivative PDX models. This resource provides a powerful system to study SCLC biology.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-29794-4

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DOI: 10.1038/s41467-022-29794-4

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