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Cited by 210

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Genomic and Functional Fidelity of Small Cell Lung Cancer Patient-Derived Xenografts

Open access
Drapkin, Benjamin J., George, Julie, Christensen, Camilla L., Mino-Kenudson, Mari, Dries, Ruben, Sundaresan, Tilak, Phat, Sarah, Myers, David T., Zhong, Jun, Igo, Peter, Hazar-Rethinam, Mehlika H., Licausi, Joseph A., Gomez-Caraballo, Maria, Kem, Marina, Jani, Kandarp N., Azimi, Roxana, Abedpour, Nima, Menon, Roopika, Lakis, Sotirios, Heist, Rebecca S., Büttner, Reinhard, Haas, Stefan, Sequist, Lecia V., Shaw, Alice T., Wong, Kwok-Kin, Hata, Aaron N., Toner, Mehmet, Maheswaran, Shyamala, Haber, Daniel A., Peifer, Martin, Dyson, Nicholas, Thomas, Roman K., Farago, Anna F.·2018·Cancer Discovery

Abstract

Small cell lung cancer (SCLC) patient-derived xenografts (PDX) can be generated from biopsies or circulating tumor cells (CTC), though scarcity of tissue and low efficiency of tumor growth have previously limited these approaches. Applying an established clinical–translational pipeline for tissue collection and an automated microfluidic platform for CTC enrichment, we generated 17 biopsy-derived PDXs and 17 CTC-derived PDXs in a 2-year timeframe, at 89% and 38% efficiency, respectively. Whole-exome sequencing showed that somatic alterations are stably maintained between patient tumors and PDXs. Early-passage PDXs maintain the genomic and transcriptional profiles of the founder PDX. In vivo treatment with etoposide and platinum (EP) in 30 PDX models demonstrated greater sensitivity in PDXs from EP-naïve patients, and resistance to EP corresponded to increased expression of a MYC gene signature. Finally, serial CTC-derived PDXs generated from an individual patient at multiple time points accurately recapitulated the evolving drug sensitivities of that patient's disease. Collectively, this work highlights the translational potential of this strategy. Significance: Effective translational research utilizing SCLC PDX models requires both efficient generation of models from patients and fidelity of those models in representing patient tumor characteristics. We present approaches for efficient generation of PDXs from both biopsies and CTCs, and demonstrate that these models capture the mutational landscape and functional features of the donor tumors. Cancer Discov; 8(5); 600–15. ©2018 AACR. This article is highlighted in the In This Issue feature, p. 517

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Metadata

Authors
Drapkin, B. J., George, J., Christensen, C. L., Mino-Kenudson, M., Dries, R., Sundaresan, T., Phat, S., Myers, D. T., Zhong, J., Igo, P., Hazar-Rethinam, M. H., Licausi, J. A., Gomez-Caraballo, M., Kem, M., Jani, K. N., Azimi, R., Abedpour, N., Menon, R., Lakis, S., Heist, R. S., Büttner, R., Haas, S., Sequist, L. V., Shaw, A. T., Wong, K.-K., Hata, A. N., Toner, M., Maheswaran, S., Haber, D. A., Peifer, M., Dyson, N., Thomas, R. K., & Farago, A. F.
Venue
Cancer Discovery
Published
2018-04-30
Volume
8
Issue
5
Pages
600-615
ISSN
  • 2159-8274 (ISSN-L)
  • 2159-8290
OpenAlex
W2792474117
Cited by
210
References
6
FWCI
7.92
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Genomic and Functional Fidelity of Small Cell Lung Cancer Patient-Derived Xenografts. https://app.cochat.ai/papers/10.1158/2159-8290.cd-17-0935
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Drapkin, B. J., George, J., Christensen, C. L., Mino-Kenudson, M., Dries, R., Sundaresan, T., Phat, S., Myers, D. T., Zhong, J., Igo, P., Hazar-Rethinam, M. H., Licausi, J. A., Gomez-Caraballo, M., Kem, M., Jani, K. N., Azimi, R., Abedpour, N., Menon, R., Lakis, S., . . . Farago, A. F. (2018). Genomic and Functional Fidelity of Small Cell Lung Cancer Patient-Derived Xenografts. Cancer Discovery. https://doi.org/10.1158/2159-8290.cd-17-0935

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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