دورية أكاديمية

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

التفاصيل البيبلوغرافية
العنوان: Genomic and transcriptomic analysis of a library of small cell lung cancer patient-derived xenografts.
المؤلفون: Caeser, Rebecca, Egger, Jacklynn V., Chavan, Shweta, Socci, Nicholas D., Jones, Caitlin Byrne, Kombak, Faruk Erdem, Asher, Marina, Roehrl, Michael H., Shah, Nisargbhai S., Allaj, Viola, Manoj, Parvathy, Tischfield, Sam E., Kulick, Amanda, Meneses, Maximiliano, Iacobuzio-Donahue, Christine A., Lai, W. Victoria, Bhanot, Umeshkumar, Baine, Marina K., Rekhtman, Natasha, Hollmann, Travis J.
المصدر: Nature Communications; 4/19/2022, Vol. 13 Issue 1, p1-12, 12p
مصطلحات موضوعية: SMALL cell lung cancer, GENOMICS, XENOGRAFTS, SURGICAL excision, NUCLEOTIDE sequencing
مستخلص: 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. 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. [ABSTRACT FROM AUTHOR]
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قاعدة البيانات: Complementary Index
الوصف
تدمد:20411723
DOI:10.1038/s41467-022-29794-4