Literature DB >> 19668850

Molecular pathways in tumor progression: from discovery to functional understanding.

Muhammad Akhtar Ali1, Tobias Sjöblom.   

Abstract

The advent of large scale sequencing methods has enabled analyses of the protein-coding parts of cancer genomes to find the mutated genes that cause common human cancers. Unbiased mutation analyses of human tumors originating in the breast, colon, brain, and pancreas have revealed genomic landscapes composed of a few frequently mutated genes alongside a multitude of infrequently mutated genes. These analyses have revealed a stark heterogeneity in the compendium of mutated genes even among tumors of the same tissue origin, and provide evidence for a larger number of driver mutations during tumorigenesis than hitherto presumed. From the multitude of mutated genes, a limited number of central molecular pathways are emerging. Systems biology approaches will be increasingly important to identify and better define these core pathways. Downstream of genetic analyses, scalable methods for prediction and experimental determination of the phenotypes of mutant alleles and pathways will be instrumental for improved mechanistic understanding of cancer as well as future drug discovery efforts.

Entities:  

Mesh:

Year:  2009        PMID: 19668850     DOI: 10.1039/b903502h

Source DB:  PubMed          Journal:  Mol Biosyst        ISSN: 1742-2051


  8 in total

1.  Somatic mutations in the Notch, NF-KB, PIK3CA, and Hedgehog pathways in human breast cancers.

Authors:  Xiang Jiao; Laura D Wood; Monica Lindman; Sian Jones; Phillip Buckhaults; Kornelia Polyak; Saraswati Sukumar; Hannah Carter; Dewey Kim; Rachel Karchin; Tobias Sjöblom
Journal:  Genes Chromosomes Cancer       Date:  2012-02-03       Impact factor: 5.006

Review 2.  Structure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive review.

Authors:  Peter Csermely; Tamás Korcsmáros; Huba J M Kiss; Gábor London; Ruth Nussinov
Journal:  Pharmacol Ther       Date:  2013-02-04       Impact factor: 12.310

Review 3.  The Emerging Potential for Network Analysis to Inform Precision Cancer Medicine.

Authors:  Kivilcim Ozturk; Michelle Dow; Daniel E Carlin; Rafael Bejar; Hannah Carter
Journal:  J Mol Biol       Date:  2018-06-15       Impact factor: 5.469

4.  Genetic-based biomarkers and next-generation sequencing: the future of personalized care in colorectal cancer.

Authors:  Redecca Y Kim; Hua Xu; Samuel Myllykangas; Hanlee Ji
Journal:  Per Med       Date:  2011-05-01       Impact factor: 2.512

5.  Splicing mutation analysis reveals previously unrecognized pathways in lymph node-invasive breast cancer.

Authors:  Stephanie N Dorman; Coby Viner; Peter K Rogan
Journal:  Sci Rep       Date:  2014-11-14       Impact factor: 4.379

Review 6.  Integrating molecular networks with genetic variant interpretation for precision medicine.

Authors:  Emidio Capriotti; Kivilcim Ozturk; Hannah Carter
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2018-12-12

7.  Cancer testis antigen XAGE-1 is a promising marker for the diagnosis and treatment of ovarian cancer.

Authors:  Maysaa Ghazi Jumaa; Mukhallad Abdul-Kareem Ramadhan
Journal:  J Med Life       Date:  2021 Sep-Oct

8.  Mutations of Intrinsically Disordered Protein Regions Can Drive Cancer but Lack Therapeutic Strategies.

Authors:  Bálint Mészáros; Borbála Hajdu-Soltész; András Zeke; Zsuzsanna Dosztányi
Journal:  Biomolecules       Date:  2021-03-04
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.