Tumor progression: Chance and necessity in Darwinian and Lamarckian somatic (mutationless) evolution

癌变 生物 体细胞 达尔文主义 遗传学 表型 基因 计算生物学 突变 癌症 可进化性 进化生物学
作者
Sui Huang
出处
期刊:Progress in Biophysics & Molecular Biology [Elsevier]
卷期号:110 (1): 69-86 被引量:64
标识
DOI:10.1016/j.pbiomolbio.2012.05.001
摘要

Current investigation of cancer progression towards increasing malignancy focuses on the molecular pathways that produce the various cancerous traits of cells. Their acquisition is explained by the somatic mutation theory: tumor progression is the result of a neo-Darwinian evolution in the tissue. Herein cells are the units of selection. Random genetic mutations permanently affecting these pathways create malignant cell phenotypes that are selected for in the disturbed tissue. However, could it be that the capacity of the genome and its gene regulatory network to generate the vast diversity of cell types during development, i.e., to produce inheritable phenotypic changes without mutations, is harnessed by tumorigenesis to propel a directional change towards malignancy? Here we take an encompassing perspective, transcending the orthodoxy of molecular carcinogenesis and review mechanisms of somatic evolution beyond the Neo-Darwinian scheme. We discuss the central concept of “cancer attractors” – the hidden stable states of gene regulatory networks normally not occupied by cells. Noise-induced transitions into such attractors provide a source for randomness (chance) and regulatory constraints (necessity) in the acquisition of novel expression profiles that can be inherited across cell divisions, and hence, can be selected for. But attractors can also be reached in response to environmental signals – thus offering the possibility for inheriting acquired traits that can also be selected for. Therefore, we face the possibility of non-genetic (mutation-independent) equivalents to both Darwinian and Lamarckian evolution which may jointly explain the arrow of change pointing toward increasing malignancy.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
菠萝派完成签到,获得积分10
4秒前
Dr.miao完成签到,获得积分10
5秒前
谷雨下完成签到,获得积分10
5秒前
fortunate..完成签到,获得积分10
8秒前
一路美好发布了新的文献求助10
9秒前
10秒前
oprtion完成签到,获得积分10
10秒前
Xuuu完成签到,获得积分10
10秒前
11秒前
看文献也是技术活完成签到,获得积分10
11秒前
XWER完成签到 ,获得积分10
12秒前
赵油油完成签到,获得积分10
12秒前
12秒前
知性的翠曼完成签到 ,获得积分10
14秒前
14秒前
科研通AI2S应助liujinjin采纳,获得10
14秒前
海小兔发布了新的文献求助10
14秒前
kellywang发布了新的文献求助10
15秒前
科研通AI2S应助lijg采纳,获得30
15秒前
英姑应助小刘采纳,获得10
15秒前
赵油油发布了新的文献求助10
16秒前
慕青应助陶醉怜容采纳,获得20
17秒前
fuje发布了新的文献求助10
17秒前
害怕的冬灵完成签到,获得积分10
17秒前
17秒前
zzzzs发布了新的文献求助10
18秒前
20秒前
秋雪瑶应助kellywang采纳,获得10
21秒前
大模型应助着急的一曲采纳,获得10
21秒前
22秒前
23秒前
orixero应助LeOn采纳,获得10
25秒前
25秒前
Lavender发布了新的文献求助30
26秒前
liujinjin发布了新的文献求助10
26秒前
华仔应助冯昊采纳,获得10
26秒前
达拉斯发布了新的文献求助10
27秒前
28秒前
Jasper应助bin8采纳,获得10
28秒前
达琳发布了新的文献求助20
28秒前
高分求助中
【本贴是提醒信息,请勿应助】请在求助之前详细阅读求助说明!!!! 20000
One Man Talking: Selected Essays of Shao Xunmei, 1929–1939 1000
The Three Stars Each: The Astrolabes and Related Texts 900
Yuwu Song, Biographical Dictionary of the People's Republic of China 800
Multifunctional Agriculture, A New Paradigm for European Agriculture and Rural Development 600
Challenges, Strategies, and Resiliency in Disaster and Risk Management 500
Bernd Ziesemer - Maos deutscher Topagent: Wie China die Bundesrepublik eroberte 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 有机化学 工程类 生物化学 纳米技术 物理 内科学 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 电极 光电子学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 2482441
求助须知:如何正确求助?哪些是违规求助? 2144847
关于积分的说明 5471502
捐赠科研通 1867208
什么是DOI,文献DOI怎么找? 928115
版权声明 563073
科研通“疑难数据库(出版商)”最低求助积分说明 496555