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[对癌细胞生物学的更深入理解]

[Better understanding of the biology of cancer cells].

作者信息

Klein G

机构信息

Mikrobiologiskt och tumörbioligskt centrum, Karolinska institutet, Stockholm.

出版信息

Ugeskr Laeger. 2000 Sep 25;162(39):5199-204.

PMID:11043045
Abstract

Most forms of cancer arise through a Darwinian evolutionary process. The natural selection that ultimately leads to cancer takes place in somatic tissues although it may be triggered by inherited mutations in a small but significant minority. It favors the growth of clones and subclones that are less and less responsive to normal intra- and extracellular growth control mechanisms. The development of molecular biology has led to the identification of many genes that participate in this somatic evolution. They belong to the following groups: Oncogenes, constitutively activated by structural and/or regulatory changes that drive the cell to continuous proliferation; Tumor suppressor genes, that can inhibit the illegitimately activated cell cycle. They contribute to tumor development by loss mutations or permanent down-regulation, e.g. by methylation; Apoptosis inhibitory genes that can contribute to tumor development by raising the apoptotic threshold, and apoptosis promoting genes that can favor the growth of apoptosis prone tumor cells by their loss or inactivation; DNA repair genes whose inactivation can counteract the normal elimination of cells that carry potentially cancer promoting mutations. Inherited mutations in DNA repair genes can lead to familial cancer syndromes. Immortalizing genes that counteract cellular senescence; Angiogenesis promoting genes whose products may stimulate the vascular supply of tumors; Genes whose structural or functional changes may facilitate the escape of tumor cells from immune rejection; The multi-step development of individual tumors can encompass changes in most or all of these genes. They occur independently of each other and without any fixed order or timing. Tumor emancipation from growth control can therefore proceed along various pathways. It follows that each tumor must be regarded as a biologically unique individual.

摘要

大多数癌症的发生都经历了一个达尔文式的进化过程。最终导致癌症的自然选择发生在体细胞组织中,尽管它可能由一小部分但数量可观的遗传性突变引发。这种选择有利于那些对正常的细胞内和细胞外生长控制机制反应越来越不敏感的克隆和亚克隆的生长。分子生物学的发展使得人们鉴定出了许多参与这种体细胞进化的基因。它们可分为以下几类:癌基因,通过结构和/或调控变化而持续激活,驱动细胞持续增殖;肿瘤抑制基因,能够抑制非法激活的细胞周期,它们通过缺失突变或永久性下调(如通过甲基化)促进肿瘤发展;凋亡抑制基因,通过提高凋亡阈值促进肿瘤发展,以及凋亡促进基因,通过缺失或失活促进易凋亡肿瘤细胞的生长;DNA修复基因,其失活可抵消对携带潜在促癌突变细胞的正常清除。DNA修复基因的遗传性突变可导致家族性癌症综合征。使细胞永生化的基因,对抗细胞衰老;促血管生成基因,其产物可刺激肿瘤的血管供应;结构或功能变化可能促进肿瘤细胞逃避免疫排斥的基因;单个肿瘤的多步骤发展可能涉及大多数或所有这些基因的变化。它们彼此独立发生,没有任何固定的顺序或时间安排。因此,肿瘤从生长控制中解放出来可以通过多种途径进行。由此可见,每个肿瘤都必须被视为一个生物学上独特的个体。

相似文献

1
[Better understanding of the biology of cancer cells].[对癌细胞生物学的更深入理解]
Ugeskr Laeger. 2000 Sep 25;162(39):5199-204.
2
[Better understanding of the biology of cancer cells].对癌细胞生物学的更深入理解
Lakartidningen. 2000 Jul 12;97(28-29):3260-4.
3
[Genetics and cancer: advances and perspectives].[遗传学与癌症:进展与展望]
Pathol Biol (Paris). 1995 Mar;43(3):139-42.
4
[Molecular basis of cancer].[癌症的分子基础]
Rev Invest Clin. 2006 Jan-Feb;58(1):56-70.
5
Epigenetic drugs as pleiotropic agents in cancer treatment: biomolecular aspects and clinical applications.表观遗传药物作为癌症治疗中的多效性药物:生物分子方面及临床应用
J Cell Physiol. 2007 Aug;212(2):330-44. doi: 10.1002/jcp.21066.
6
Alterations of tumor suppressor genes in bladder cancer.膀胱癌中肿瘤抑制基因的改变。
Semin Diagn Pathol. 1997 May;14(2):123-32.
7
Tumor dormancy and oncogene addiction.肿瘤休眠与癌基因成瘾
APMIS. 2008 Jul-Aug;116(7-8):629-37. doi: 10.1111/j.1600-0463.2008.01037.x.
8
Oncogenes and tumor angiogenesis: the question of vascular "supply" and vascular "demand".癌基因与肿瘤血管生成:血管“供应”与血管“需求”问题
Semin Cancer Biol. 2004 Apr;14(2):93-104. doi: 10.1016/j.semcancer.2003.09.014.
9
[Cancer cells. Genetic anomalies (oncogenes and anti-oncogenes), growth factors, apoptosis and dissemination, prognostic impact].[癌细胞。基因异常(癌基因和抗癌基因)、生长因子、细胞凋亡与扩散、预后影响]
Rev Prat. 2000 May 15;50(10):1135-44.
10
[Cancer genetics. A review of oncological molecular biology seen in relation to the human genome].[癌症遗传学。与人类基因组相关的肿瘤分子生物学综述]
Ugeskr Laeger. 2002 May 27;164(22):2865-71.

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Cell Stress Chaperones. 2018 May;23(3):317-334. doi: 10.1007/s12192-017-0844-3. Epub 2017 Sep 27.
2
In silico modeling for tumor growth visualization.用于肿瘤生长可视化的计算机模拟建模。
BMC Syst Biol. 2016 Aug 8;10(1):59. doi: 10.1186/s12918-016-0318-8.