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基于拷贝数改变的非小细胞肺癌分类

Classification of non-small cell lung cancer based on copy number alterations.

作者信息

Li Bi-Qing, You Jin, Huang Tao, Cai Yu-Dong

机构信息

Key Laboratory of Systems Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, P. R. China.

The Key Laboratory of Stem Cell Biology, Institute of Health Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, P. R. China.

出版信息

PLoS One. 2014 Feb 5;9(2):e88300. doi: 10.1371/journal.pone.0088300. eCollection 2014.

DOI:10.1371/journal.pone.0088300
PMID:24505469
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3914971/
Abstract

Lung cancer is one of the leading causes of cancer mortality worldwide and non-small cell lung cancer (NSCLC) accounts for the most part. NSCLC can be further divided into adenocarcinoma (ACA) and squamous cell carcinoma (SCC). It is of great value to distinguish these two subgroups clinically. In this study, we compared the genome-wide copy number alterations (CNAs) patterns of 208 early stage ACA and 93 early stage SCC tumor samples. As a result, 266 CNA probes stood out for better discrimination of ACA and SCC. It was revealed that the genes corresponding to these 266 probes were enriched in lung cancer related pathways and enriched in the chromosome regions where CNA usually occur in lung cancer. This study sheds lights on the CNA study of NSCLC and provides some insights on the epigenetic of NSCLC.

摘要

肺癌是全球癌症死亡的主要原因之一，其中非小细胞肺癌（NSCLC）占大部分。NSCLC可进一步分为腺癌（ACA）和鳞状细胞癌（SCC）。在临床上区分这两个亚组具有重要价值。在本研究中，我们比较了208例早期ACA和93例早期SCC肿瘤样本的全基因组拷贝数改变（CNA）模式。结果，266个CNA探针在区分ACA和SCC方面表现突出。研究发现，与这266个探针对应的基因在肺癌相关通路中富集，且在肺癌中通常发生CNA的染色体区域富集。本研究为NSCLC的CNA研究提供了线索，并为NSCLC的表观遗传学提供了一些见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/522a/3914971/ba87b7b46b3d/pone.0088300.g001.jpg

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