Literature DB >> 19115235

Genome based cell population heterogeneity promotes tumorigenicity: the evolutionary mechanism of cancer.

Christine J Ye1, Joshua B Stevens, Guo Liu, Steven W Bremer, Aruna S Jaiswal, Karen J Ye, Ming-Fong Lin, Lesley Lawrenson, Wayne D Lancaster, Markku Kurkinen, Joshua D Liao, C Gary Gairola, Malathy P V Shekhar, Satya Narayan, Fred R Miller, Henry H Q Heng.   

Abstract

Cancer progression represents an evolutionary process where overall genome level changes reflect system instability and serve as a driving force for evolving new systems. To illustrate this principle it must be demonstrated that karyotypic heterogeneity (population diversity) directly contributes to tumorigenicity. Five well characterized in vitro tumor progression models representing various types of cancers were selected for such an analysis. The tumorigenicity of each model has been linked to different molecular pathways, and there is no common molecular mechanism shared among them. According to our hypothesis that genome level heterogeneity is a key to cancer evolution, we expect to reveal that the common link of tumorigenicity between these diverse models is elevated genome diversity. Spectral karyotyping (SKY) was used to compare the degree of karyotypic heterogeneity displayed in various sublines of these five models. The cell population diversity was determined by scoring type and frequencies of clonal and non-clonal chromosome aberrations (CCAs and NCCAs). The tumorigenicity of these models has been separately analyzed. As expected, the highest level of NCCAs was detected coupled with the strongest tumorigenicity among all models analyzed. The karyotypic heterogeneity of both benign hyperplastic lesions and premalignant dysplastic tissues were further analyzed to support this conclusion. This common link between elevated NCCAs and increased tumorigenicity suggests an evolutionary causative relationship between system instability, population diversity, and cancer evolution. This study reconciles the difference between evolutionary and molecular mechanisms of cancer and suggests that NCCAs can serve as a biomarker to monitor the probability of cancer progression.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19115235      PMCID: PMC2778062          DOI: 10.1002/jcp.21663

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


  53 in total

1.  Modes of DAPI banding and simultaneous in situ hybridization.

Authors:  H H Heng; L C Tsui
Journal:  Chromosoma       Date:  1993-05       Impact factor: 4.316

Review 2.  Tumor heterogeneity.

Authors:  G H Heppner
Journal:  Cancer Res       Date:  1984-06       Impact factor: 12.701

Review 3.  Clonal and non-clonal chromosome aberrations and genome variation and aberration.

Authors:  Henry H Q Heng; Guo Liu; Steven Bremer; Karen J Ye; Joshua Stevens; Christine J Ye
Journal:  Genome       Date:  2006-03       Impact factor: 2.166

Review 4.  Cancer as an evolutionary and ecological process.

Authors:  Lauren M F Merlo; John W Pepper; Brian J Reid; Carlo C Maley
Journal:  Nat Rev Cancer       Date:  2006-11-16       Impact factor: 60.716

5.  Human cancers express a mutator phenotype.

Authors:  Jason H Bielas; Keith R Loeb; Brian P Rubin; Lawrence D True; Lawrence A Loeb
Journal:  Proc Natl Acad Sci U S A       Date:  2006-11-15       Impact factor: 11.205

Review 6.  Cancer progression by non-clonal chromosome aberrations.

Authors:  Henry H Q Heng; Steven W Bremer; Joshua Stevens; Karen J Ye; Fred Miller; Gou Liu; Christine J Ye
Journal:  J Cell Biochem       Date:  2006-08-15       Impact factor: 4.429

Review 7.  Recurrent chromosome aberrations in cancer.

Authors:  F Mitelman
Journal:  Mutat Res       Date:  2000-04       Impact factor: 2.433

Review 8.  Chromosome aberrations in solid tumors.

Authors:  Donna G Albertson; Colin Collins; Frank McCormick; Joe W Gray
Journal:  Nat Genet       Date:  2003-08       Impact factor: 38.330

Review 9.  The chromosomal basis of cancer.

Authors:  Peter Duesberg; Ruhong Li; Alice Fabarius; Ruediger Hehlmann
Journal:  Cell Oncol       Date:  2005       Impact factor: 6.730

10.  Patterns of genome dynamics and cancer evolution.

Authors:  Henry H Q Heng; Joshua B Stevens; Lesley Lawrenson; Guo Liu; Karen J Ye; Steven W Bremer; Christine J Ye
Journal:  Cell Oncol       Date:  2008       Impact factor: 6.730

View more
  22 in total

1.  Dispersal evolution in neoplasms: the role of disregulated metabolism in the evolution of cell motility.

Authors:  C Athena Aktipis; Carlo C Maley; John W Pepper
Journal:  Cancer Prev Res (Phila)       Date:  2011-09-19

2.  Measurements of DNA barcode label separations in nanochannels from time-series data.

Authors:  Julian Sheats; Jeffrey G Reifenberger; Han Cao; Kevin D Dorfman
Journal:  Biomicrofluidics       Date:  2015-12-29       Impact factor: 2.800

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

4.  Single cell heterogeneity: why unstable genomes are incompatible with average profiles.

Authors:  Batoul Y Abdallah; Steven D Horne; Joshua B Stevens; Guo Liu; Andrew Y Ying; Barbara Vanderhyden; Stephen A Krawetz; Root Gorelick; Henry Hq Heng
Journal:  Cell Cycle       Date:  2013-10-01       Impact factor: 4.534

Review 5.  Turning the headlights on novel cancer biomarkers: Inspection of mechanics underlying intratumor heterogeneity.

Authors:  Michelle McBride; Padmashree C G Rida; Ritu Aneja
Journal:  Mol Aspects Med       Date:  2015-05-27

6.  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

7.  Adenomatous polyposis coli-mediated accumulation of abasic DNA lesions lead to cigarette smoke condensate-induced neoplastic transformation of normal breast epithelial cells.

Authors:  Aruna S Jaiswal; Harekrushna Panda; Christine A Pampo; Dietmar W Siemann; C Gary Gairola; Robert Hromas; Satya Narayan
Journal:  Neoplasia       Date:  2013-04       Impact factor: 5.715

8.  Contributions to drug resistance in glioblastoma derived from malignant cells in the sub-ependymal zone.

Authors:  Inmaculada Spiteri; Andrea Sottoriva; Sara Gm Piccirillo; Anestis Touloumis; Suzan Ber; Stephen J Price; Richard Heywood; Nicola-Jane Francis; Karen D Howarth; Vincent P Collins; Ashok R Venkitaraman; Christina Curtis; John C Marioni; Simon Tavaré; Colin Watts
Journal:  Cancer Res       Date:  2014-11-18       Impact factor: 12.701

9.  Risk of hormone escape in a human prostate cancer model depends on therapy modalities and can be reduced by tyrosine kinase inhibitors.

Authors:  Charlotte Guyader; Jocelyn Céraline; Eléonore Gravier; Aurélie Morin; Sandrine Michel; Eva Erdmann; Gonzague de Pinieux; Florence Cabon; Jean-Pierre Bergerat; Marie-France Poupon; Stéphane Oudard
Journal:  PLoS One       Date:  2012-08-06       Impact factor: 3.240

10.  Application of biomarkers in cancer risk management: evaluation from stochastic clonal evolutionary and dynamic system optimization points of view.

Authors:  Xiaohong Li; Patricia L Blount; Thomas L Vaughan; Brian J Reid
Journal:  PLoS Comput Biol       Date:  2011-02-24       Impact factor: 4.475

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.