Glioblastoma multiforme: a look inside its heterogeneous nature.
Glioblastoma multiforme: a look inside its heterogeneous nature.
复制标题
胶质母细胞瘤多形：外观其异质性。
DOI：
10.3390/cancers6010226
复制
发表时间：
2014-01-27
期刊：
影响因子：
5.2
通讯作者：
Seoane J
中科院分区：
文献类型：
--
作者：
Inda MM;Bonavia R;Seoane J
异质结是肿瘤的标志，并且在恶性肿瘤的结果中具有关键作用，因为它不仅混淆诊断，而且挑战有效治疗的设计。存在两种类型的异质性：肿瘤间异质性和肿瘤内异质性。虽然肿瘤间异质性已被广泛研究，但肿瘤内异质性一直被忽视，尽管许多研究支持肿瘤病理生物学的这一方面。主要原因是技术上的困难，但随着单细胞技术的新进展，肿瘤内异质性正在成为癌症研究的关键领域。几个模型试图解释肿瘤内异质性的起源和维持，然而，一个突出的模型将癌症与树进行比较，其中无处不在的突变组成树干，细胞亚群中存在的突变由分支表示。在这篇综述中，我们将重点关注多形性胶质母细胞瘤（GBM）的肿瘤内异质性，GBM是成人最常见的脑肿瘤，其特征在于在细胞和分子水平上具有显著的异质性。更好地了解这种异质性对于设计针对这种毁灭性疾病的有效疗法以避免肿瘤逃逸至关重要。
Heterogeneity is a hallmark of tumors and has a crucial role in the outcome of the malignancy, because it not only confounds diagnosis, but also challenges the design of effective therapies. There are two types of heterogeneity: inter-tumor and intra-tumor heterogeneity. While inter-tumor heterogeneity has been studied widely, intra-tumor heterogeneity has been neglected even though numerous studies support this aspect of tumor pathobiology. The main reason has been the technical difficulties, but with new advances in single-cell technology, intra-tumor heterogeneity is becoming a key area in the study of cancer. Several models try to explain the origin and maintenance of intra-tumor heterogeneity, however, one prominent model compares cancer with a tree where the ubiquitous mutations compose the trunk and mutations present in subpopulations of cells are represented by the branches. In this review we will focus on the intra-tumor heterogeneity of glioblastoma multiforme (GBM), the most common brain tumor in adults that is characterized by a marked heterogeneity at the cellular and molecular levels. Better understanding of this heterogeneity will be essential to design effective therapies against this devastating disease to avoid tumor escape.
登录
查看更多内容
影响因子：
3.7
作者：
Iwasa Y;Michor F
通讯作者：
Michor F
影响因子：
10.5
作者：
Inda, Maria-del-Mar;Bonavia, Rudy;Furnari, Frank
通讯作者：
Furnari, Frank
影响因子：
8
作者：
Bonavia, R.;Inda, M. M.;Vandenberg, S.;Cheng, S-Y;Nagane, M.;Hadwiger, P.;Tan, P.;Sah, D. W. Y.;Cavenee, W. K.;Furnari, F. B.
通讯作者：
Furnari, F. B.
影响因子：
45.3
作者：
Hegi, Monika E.;Liu, Lili;Gilbert, Mark R.
通讯作者：
Gilbert, Mark R.
影响因子：
11.2
作者：
Bonavia R;Inda MM;Cavenee WK;Furnari FB
通讯作者：
Furnari FB