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肿瘤内异质性:解析基因组结构和克隆进化的新方法。

Intratumor Heterogeneity: Novel Approaches for Resolving Genomic Architecture and Clonal Evolution.

机构信息

Department of Hematology and Oncology, MD Anderson Cancer Center at Cooper, Camden, New Jersey.

出版信息

Mol Cancer Res. 2017 Sep;15(9):1127-1137. doi: 10.1158/1541-7786.MCR-17-0070. Epub 2017 Jun 8.

Abstract

High-throughput genomic technologies have revealed a remarkably complex portrait of intratumor heterogeneity in cancer and have shown that tumors evolve through a reiterative process of genetic diversification and clonal selection. This discovery has challenged the classical paradigm of clonal dominance and brought attention to subclonal tumor cell populations that contribute to the cancer phenotype. Dynamic evolutionary models may explain how these populations grow within the ecosystem of tissues, including linear, branching, neutral, and punctuated patterns. Recent evidence in breast cancer favors branching and punctuated evolution driven by genome instability as well as nongenetic sources of heterogeneity, such as epigenetic variation, hierarchal tumor cell organization, and subclonal cell-cell interactions. Resolution of the full mutational landscape of tumors could help reconstruct their phylogenetic trees and trace the subclonal origins of therapeutic resistance, relapsed disease, and distant metastases, the major causes of cancer-related mortality. Real-time assessment of the tumor subclonal architecture, however, remains limited by the high rate of errors produced by most genome-wide sequencing methods as well as the practical difficulties associated with serial tumor genotyping in patients. This review focuses on novel approaches to mitigate these challenges using bulk tumor, liquid biopsies, single-cell analysis, and deep sequencing techniques. The origins of intratumor heterogeneity and the clinical, diagnostic, and therapeutic consequences in breast cancer are also explored. .

摘要

高通量基因组技术揭示了癌症中肿瘤内异质性的惊人复杂图景,并表明肿瘤通过遗传多样化和克隆选择的反复过程进化。这一发现挑战了克隆主导的经典范例,并引起了人们对亚克隆肿瘤细胞群体的关注,这些群体对癌症表型有贡献。动态进化模型可以解释这些群体如何在组织生态系统中生长,包括线性、分支、中性和点状模式。最近在乳腺癌中的证据支持由基因组不稳定性以及非遗传异质性来源(如表观遗传变异、肿瘤细胞层次结构和亚克隆细胞-细胞相互作用)驱动的分支和点状进化。解析肿瘤的全突变景观可以帮助重建它们的系统发育树,并追踪治疗耐药性、复发疾病和远处转移的亚克隆起源,这些是癌症相关死亡率的主要原因。然而,肿瘤亚克隆结构的实时评估仍然受到大多数全基因组测序方法产生的高错误率以及患者中连续肿瘤基因分型相关的实际困难的限制。这篇综述重点介绍了使用肿瘤体、液体活检、单细胞分析和深度测序技术来减轻这些挑战的新方法。还探讨了肿瘤内异质性的起源以及乳腺癌中的临床、诊断和治疗后果。

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