Literature DB >> 23540688

Lessons from the cancer genome.

Levi A Garraway1, Eric S Lander.   

Abstract

Systematic studies of the cancer genome have exploded in recent years. These studies have revealed scores of new cancer genes, including many in processes not previously known to be causal targets in cancer. The genes affect cell signaling, chromatin, and epigenomic regulation; RNA splicing; protein homeostasis; metabolism; and lineage maturation. Still, cancer genomics is in its infancy. Much work remains to complete the mutational catalog in primary tumors and across the natural history of cancer, to connect recurrent genomic alterations to altered pathways and acquired cellular vulnerabilities, and to use this information to guide the development and application of therapies.
Copyright © 2013 Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 23540688     DOI: 10.1016/j.cell.2013.03.002

Source DB:  PubMed          Journal:  Cell        ISSN: 0092-8674            Impact factor:   41.582


  564 in total

Review 1.  Next-generation sequencing-based clinical sequencing: toward precision medicine in solid tumors.

Authors:  Toshifumi Wakai; Pankaj Prasoon; Yuki Hirose; Yoshifumi Shimada; Hiroshi Ichikawa; Masayuki Nagahashi
Journal:  Int J Clin Oncol       Date:  2018-12-04       Impact factor: 3.402

Review 2.  [Mutational tumor profiles beyond organ and tissue specificity: implications for diagnostics and clinical study design].

Authors:  F Klauschen
Journal:  Pathologe       Date:  2014-11       Impact factor: 1.011

Review 3.  Collection, integration and analysis of cancer genomic profiles: from data to insight.

Authors:  Jianjiong Gao; Giovanni Ciriello; Chris Sander; Nikolaus Schultz
Journal:  Curr Opin Genet Dev       Date:  2014-02-27       Impact factor: 5.578

Review 4.  Targeted therapy in gastric cancer: personalizing cancer treatment based on patient genome.

Authors:  Sun Min Lim; Jae Yun Lim; Jae Yong Cho
Journal:  World J Gastroenterol       Date:  2014-02-28       Impact factor: 5.742

5.  Predicting Drug Response in Human Prostate Cancer from Preclinical Analysis of In Vivo Mouse Models.

Authors:  Antonina Mitrofanova; Alvaro Aytes; Min Zou; Michael M Shen; Cory Abate-Shen; Andrea Califano
Journal:  Cell Rep       Date:  2015-09-17       Impact factor: 9.423

Review 6.  Network analysis of GWAS data.

Authors:  Mark D M Leiserson; Jonathan V Eldridge; Sohini Ramachandran; Benjamin J Raphael
Journal:  Curr Opin Genet Dev       Date:  2013-11-26       Impact factor: 5.578

7.  Getting personal with neoantigen-based therapeutic cancer vaccines.

Authors:  Nir Hacohen; Edward F Fritsch; Todd A Carter; Eric S Lander; Catherine J Wu
Journal:  Cancer Immunol Res       Date:  2013-04-07       Impact factor: 11.151

8.  Personalized sequencing and the future of medicine: discovery, diagnosis and defeat of disease.

Authors:  Edward D Esplin; Ling Oei; Michael P Snyder
Journal:  Pharmacogenomics       Date:  2014-11       Impact factor: 2.533

Review 9.  High-throughput gene expression and mutation profiling: current methods and future perspectives.

Authors:  Thomas Karn
Journal:  Breast Care (Basel)       Date:  2013-12       Impact factor: 2.860

Review 10.  The pan-therapeutic resistance of disseminated tumor cells: Role of phenotypic plasticity and the metastatic microenvironment.

Authors:  Bo Ma; Alan Wells; Amanda M Clark
Journal:  Semin Cancer Biol       Date:  2019-07-31       Impact factor: 15.707

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