Genomics

Dataset Information

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Ena-DATASET-KAIST-03-05-2017-03:08:17:539-449 - samples

ABSTRACT: This dataset includes the high-throughput sequencing data from a study entitled "Clonal History and Genetic Predictors of Transformation into Small Cell Carcinomas from Lung Adenocarcinomas". Whole-genome sequencing libraries were generated by PCR-free methods, and sequencing run was made in HiSeq X or HiSeq 2500 machines. PCR duplicates-marked, indel-realigned, and base-recalibrarted BAM files are provided in our dataset.

PROVIDER: EGAD00001003315 | EGA |

REPOSITORIES: EGA

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Publications

Clonal History and Genetic Predictors of Transformation Into Small-Cell Carcinomas From Lung Adenocarcinomas.

Lee June-Koo JK   Lee Junehawk J   Kim Sehui S   Kim Soyeon S   Youk Jeonghwan J   Park Seongyeol S   An Yohan Y   Keam Bhumsuk B   Kim Dong-Wan DW   Heo Dae Seog DS   Kim Young Tae YT   Kim Jin-Soo JS   Kim Se Hyun SH   Lee Jong Seok JS   Lee Se-Hoon SH   Park Keunchil K   Ku Ja-Lok JL   Jeon Yoon Kyung YK   Chung Doo Hyun DH   Park Peter J PJ   Kim Joon J   Kim Tae Min TM   Ju Young Seok YS  

Journal of clinical oncology : official journal of the American Society of Clinical Oncology 20170512 26

Purpose Histologic transformation of EGFR mutant lung adenocarcinoma (LADC) into small-cell lung cancer (SCLC) has been described as one of the major resistant mechanisms for epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs). However, the molecular pathogenesis is still unclear. Methods We investigated 21 patients with advanced EGFR-mutant LADCs that were transformed into EGFR TKI-resistant SCLCs. Among them, whole genome sequencing was applied for nine tumors acquired at  ...[more]

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