Literature DB >> 19441078

Genetic and epigenetic heterogeneity in cancer: a genome-centric perspective.

Henry H Q Heng1, Steven W Bremer, Joshua B Stevens, Karen J Ye, Guo Liu, Christine J Ye.   

Abstract

Genetic and epigenetic heterogeneity (the main form of non-genetic heterogeneity) are key elements in cancer progression and drug resistance, as they provide needed population diversity, complexity, and robustness. Despite drastically increased evidence of multiple levels of heterogeneity in cancer, the general approach has been to eliminate the "noise" of heterogeneity to establish genetic and epigenetic patterns. In particular, the appreciation of new types of epigenetic regulation like non-coding RNA, have led to the hope of solving the mystery of cancer that the current genetic theories seem to be unable to achieve. In this mini-review, we have briefly analyzed a number of mis-conceptions regarding cancer heterogeneity, followed by the re-evaluation of cancer heterogeneity within a framework of the genome-centric concept of evolution. The analysis of the relationship between gene, epigenetic and genome level heterogeneity, and the challenges of measuring heterogeneity among multiple levels have been discussed. Further, we propose that measuring genome level heterogeneity represents an effective strategy in the study of cancer and other types of complex diseases, as emphasis on the pattern of system evolution rather than specific pathways provides a global and synthetic approach. Compared to the degree of heterogeneity, individual molecular pathways will have limited predictability during stochastic cancer evolution where genome dynamics (reflected by karyotypic heterogeneity) will dominate.

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Year:  2009        PMID: 19441078     DOI: 10.1002/jcp.21799

Source DB:  PubMed          Journal:  J Cell Physiol        ISSN: 0021-9541            Impact factor:   6.384


  56 in total

1.  Towards predictive stochastic dynamical modeling of cancer genesis and progression.

Authors:  P Ao; D Galas; L Hood; L Yin; X M Zhu
Journal:  Interdiscip Sci       Date:  2010-05-01       Impact factor: 2.233

Review 2.  How to be good at being bad: centrosome amplification and mitotic propensity drive intratumoral heterogeneity.

Authors:  Padmashree C G Rida; Guilherme Cantuaria; Michelle D Reid; Omer Kucuk; Ritu Aneja
Journal:  Cancer Metastasis Rev       Date:  2015-12       Impact factor: 9.264

3.  Unstable genomes elevate transcriptome dynamics.

Authors:  Joshua B Stevens; Guo Liu; Batoul Y Abdallah; Steven D Horne; Karen J Ye; Steven W Bremer; Christine J Ye; Stephen A Krawetz; Henry H Heng
Journal:  Int J Cancer       Date:  2014-05-01       Impact factor: 7.396

Review 4.  Proof of concept: network and systems biology approaches aid in the discovery of potent anticancer drug combinations.

Authors:  Asfar S Azmi; Zhiwei Wang; Philip A Philip; Ramzi M Mohammad; Fazlul H Sarkar
Journal:  Mol Cancer Ther       Date:  2010-11-01       Impact factor: 6.261

5.  CHIP buffers heterogeneous Bcl-2 expression levels to prevent augmentation of anticancer drug-resistant cell population.

Authors:  M Tsuchiya; Y Nakajima; T Waku; H Hiyoshi; T Morishita; R Furumai; Y Hayashi; H Kishimoto; K Kimura; J Yanagisawa
Journal:  Oncogene       Date:  2014-12-01       Impact factor: 9.867

6.  Beyond comparing means: the usefulness of analyzing interindividual variation in gene expression for identifying genes associated with cancer development.

Authors:  Ivan P Gorlov; Jinyoung Byun; Hongya Zhao; Christopher J Logothetis; Olga Y Gorlova
Journal:  J Bioinform Comput Biol       Date:  2012-04       Impact factor: 1.122

Review 7.  Current status in cancer cell reprogramming and its clinical implications.

Authors:  Kenan Izgi; Halit Canatan; Banu Iskender
Journal:  J Cancer Res Clin Oncol       Date:  2016-09-12       Impact factor: 4.553

8.  Association of angiotensin-converting enzyme gene 2350 G/A polymorphism with diabetic retinopathy in Chinese Han population.

Authors:  Shu Liang; Min Pan; Nan Hu; Yu-Yu Wu; Hui Chen; Jian-Hua Zhu; Huai-Jin Guan; Ai-Min Sang
Journal:  Mol Biol Rep       Date:  2012-10-13       Impact factor: 2.316

9.  Evidence of genetic instability in tumors and normal nearby tissues.

Authors:  Giuseppe Geraci; Ida D'Elia; Rosanna del Gaudio; Rossella Di Giaimo
Journal:  PLoS One       Date:  2010-02-23       Impact factor: 3.240

10.  Comparison of mitotic cell death by chromosome fragmentation to premature chromosome condensation.

Authors:  Joshua B Stevens; Batoul Y Abdallah; Sarah M Regan; Guo Liu; Steven W Bremer; Christine J Ye; Henry H Heng
Journal:  Mol Cytogenet       Date:  2010-10-19       Impact factor: 2.009

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