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人类癌症中的“谱系成瘾”:整合基因组学的启示

"Lineage addiction" in human cancer: lessons from integrated genomics.

作者信息

Garraway L A, Weir B A, Zhao X, Widlund H, Beroukhim R, Berger A, Rimm D, Rubin M A, Fisher D E, Meyerson M L, Sellers W R

机构信息

Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts 02115, USA.

出版信息

Cold Spring Harb Symp Quant Biol. 2005;70:25-34. doi: 10.1101/sqb.2005.70.016.

Abstract

Genome-era advances in the field of oncology endorse the notion that many tumors may prove vulnerable to targeted therapeutic avenues once their salient molecular alterations are elucidated. Accomplishing this requires both detailed genomic characterization and the ability to identify in situ the critical dependencies operant within individual tumors. To this end, DNA microarray platforms such as high-density single-nucleotide polymorphism (SNP) arrays enable large-scale cancer genome characterization, including copy number and loss-of-heterozygosity analyses at high resolution. Clustering analyses of SNP array data from a large collection of tumor samples and cell lines suggest that certain copy number alterations correlate strongly with the tissue of origin. Such lineage-restricted alterations may harbor novel cancer genes directing genesis or progression of tumors from distinct tissue types. We have explored this notion through combined analysis of genome-scale data sets from the NCI60 cancer cell line collection. Here, several melanoma cell lines clustered on the basis of increased dosage at a region of chromosome 3p containing the master melanocyte regulator MITF. Combined analysis of gene expression data and additional functional studies established MITF as an amplified oncogene in melanoma. MITF may therefore represent a nodal point within a critical lineage survival pathway operant in a subset of melanomas. These findings suggest that, like oncogene addiction, "lineage addiction" may represent a fundamental tumor survival mechanism with important therapeutic implications.

摘要

肿瘤学领域在基因组时代取得的进展支持了这样一种观点

一旦阐明许多肿瘤的显著分子改变,它们可能会被证明对靶向治疗途径敏感。要做到这一点,既需要详细的基因组特征分析,也需要具备在原位识别单个肿瘤中起作用的关键依赖性的能力。为此,诸如高密度单核苷酸多态性(SNP)阵列等DNA微阵列平台能够进行大规模癌症基因组特征分析,包括高分辨率的拷贝数和杂合性缺失分析。对大量肿瘤样本和细胞系的SNP阵列数据进行聚类分析表明,某些拷贝数改变与肿瘤的组织来源密切相关。这种谱系受限的改变可能包含指导不同组织类型肿瘤发生或进展的新型癌症基因。我们通过对NCI60癌细胞系集合的基因组规模数据集进行联合分析,探索了这一观点。在这里,几个黑色素瘤细胞系基于位于3号染色体p区域(包含主要黑素细胞调节因子MITF)的剂量增加而聚类。基因表达数据的联合分析和其他功能研究确定MITF是黑色素瘤中的一个扩增癌基因。因此,MITF可能代表了在一部分黑色素瘤中起作用的关键谱系存活途径中的一个节点。这些发现表明,与癌基因成瘾一样,“谱系成瘾”可能代表一种具有重要治疗意义的基本肿瘤存活机制。

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