Genomics

Dataset Information

0

Patient-derived xenograft models of non-small cell lung cancer for evaluating targeted drug sensitivity and resistance


ABSTRACT: Background: Patient-derived xenograft (PDX) models are a useful tool in cancer biology research. However, the number of lung cancer PDXs is limited Results: In the present study, we successfully established ten PDXs, including three adenocarcinoma (AD), six squamous cell carcinoma (SQ) and one large cell carcinoma (LA), from 30 patients with non-small cell lung cancer (NSCLC) (18 AD, 10 SQ, and 2 LA), mainly in SHO mice (Crlj:SHO-PrkdcscidHrhr). Histology of SQ, advanced clinical stage (III-IV), status of lymph node metastasis (N2-3), and maximum standardized uptake value (SUVmax) ≧10 when evaluated using a delayed 18F-fluoro-2-deoxy-D-glucose positron emission tomography (FDG-PET) scan, was associated with successful PDX establishment. Histological analyses revealed that PDXs showed a histology similar to that of patients’ surgically resected tumors (SRTs), while components of the microenvironments were replaced with murine cells after several passages. Next generation sequencing and microarray analyses demonstrated that after 2 to 6 passages, PDXs preserved the majority of the somatic mutations and mRNA expressions of the corresponding SRTs. Two out of three PDXs with AD histology had EGFR mutations (L858R or exon19 deletion) and were sensitive to EGFR tyrosine kinase inhibitors (EGFR-TKIs), such as gefitinib and osimertinib. Furthermore, in one of the two PDXs with an EGFR mutation, osimertinib resistance was induced that was associated with epithelial-to-mesenchymal transition. Conclusions: This study presented ten serially transplantable PDXs of NSCLC in SHO mice and demonstrated the use of PDXs with an EGFR mutation for analyses of EGFR-TKI resistance.

ORGANISM(S): Homo sapiens

PROVIDER: GSE130160 | GEO | 2019/09/12

REPOSITORIES: GEO

Similar Datasets

2021-07-19 | E-MTAB-9888 | biostudies-arrayexpress
2021-10-14 | GSE165029 | GEO
2017-03-28 | GSE63685 | GEO
2024-03-30 | GSE262582 | GEO
2019-08-27 | E-MTAB-7568 | biostudies-arrayexpress
2021-06-15 | GSE165540 | GEO
2016-10-26 | E-GEOD-68929 | biostudies-arrayexpress
2010-03-11 | GSE15201 | GEO
2017-08-28 | PXD006114 | Pride
2019-10-15 | GSE128459 | GEO