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Title 

A high-dimensional, deep-sequencing study of lung adenocarcinoma in female never-smokers

Authors 

Sang Cheol KimY Jungjinah ParkS ChoChaehwa SeoJ KimP KimJ ParkJihae SeoJiwoong KimSeongjin ParkInsu JangNamshin KimJin Ok YangByungUk LeeK RhoJ KeumJ LeeJ HanS KangS BaeS J ChoiS KimJ E LeeW KimSanghyuk Lee

Publisher 

Public Library of Science

Issue Date 

2013

Citation 

Plos One, vol. 8, no. 2, pp. e55596-e55596

Abstract 

Background: Deep sequencing techniques provide a remarkable opportunity for comprehensive understanding of tumorigenesis at the molecular level. As omics studies become popular, integrative approaches need to be developed to move from a simple cataloguing of mutations and changes in gene expression to dissecting the molecular nature of carcinogenesis at the systemic level and understanding the complex networks that lead to cancer development. Results: Here, we describe a high-throughput, multi-dimensional sequencing study of primary lung adenocarcinoma tumors and adjacent normal tissues of six Korean female never-smoker patients. Our data encompass results from exome-seq, RNA-seq, small RNA-seq, and MeDIP-seq. We identified and validated novel genetic aberrations, including 47 somatic mutations and 19 fusion transcripts. One of the fusions involves the c-RET gene, which was recently reported to form fusion genes that may function as drivers of carcinogenesis in lung cancer patients. We also characterized gene expression profiles, which we integrated with genomic aberrations and gene regulations into functional networks. The most prominent gene network module that emerged indicates that disturbances in G2/M transition and mitotic progression are causally linked to tumorigenesis in these patients. Also, results from the analysis strongly suggest that several novel microRNA-target interactions represent key regulatory elements of the gene network. Conclusions: Our study not only provides an overview of the alterations occurring in lung adenocarcinoma at multiple levels from genome to transcriptome and epigenome, but also offers a model for integrative genomics analysis and proposes potential target pathways for the control of lung adenocarcinoma.

ISSN 

1932-6203

Link 

http://dx.doi.org/10.1371/journal.pone.0055596

Appears in Collections

1. Journal Articles > Journal Articles

Registered Date

2019-05-02


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