癌症的计算和系统生物学

D. Dingli
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引用次数: 0

摘要

自从1971年向癌症宣战以来,我们对这类不同疾病的理解有了爆炸式的增长。分子遗传学和分子生物学技术的应用使人们能够深入了解癌症表型背后的遗传、表观遗传、信号级联、生存途径和侵袭机制。与此同时,这已经转化为更有效和安全的药物的发展,这些药物通过不同的作用机制起作用,并针对肿瘤生物学的基本方面。范例是慢性髓性白血病,其中费城染色体的发现最终导致BCR-ABL癌基因的鉴定和酪氨酸激酶抑制剂如伊马替尼、尼罗替尼、达沙替尼等的开发,并导致该疾病的快速、深度和持久缓解。另一个成功案例是急性早幼粒细胞白血病,绝大多数患者现在都治愈了,不需要任何传统的化疗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computational and systems biology of cancer
Ever since the war on cancer was declared in 1971, there has been an explosion in our understanding of this diverse group of diseases. The application of molecular genetics and molecular biology technologies have enabled a deep understanding of the genetic, epigenetic, signaling cascades, survival pathways, and invasive mechanisms that underlie the cancer phenotype. Concomitantly this has translated in the development of ever more effective and safe medications that work through different mechanisms of action and target fundamental aspects of the biology of the tumor. The paradigm has been chronic myeloid leukemia where the discovery of the Philadelphia chromosome, ultimately led to the identification of the BCR-ABL oncogene and the development of tyrosine kinase inhibitors such as imatinib, nilotinib, dasatinib and others and lead to rapid, deep and long-lasting remissions in this disease. Another success story has been acute promyelocytic leukemia with the vast majority of patients now being cured of the disease without the need for any classical chemotherapy.
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来源期刊
CiteScore
2.80
自引率
0.00%
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审稿时长
8 weeks
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