Literature DB >> 22965061

Navigating cancer network attractors for tumor-specific therapy.

Pau Creixell1, Erwin M Schoof, Janine T Erler, Rune Linding.   

Abstract

Cells employ highly dynamic signaling networks to drive biological decision processes. Perturbations to these signaling networks may attract cells to new malignant signaling and phenotypic states, termed cancer network attractors, that result in cancer development. As different cancer cells reach these malignant states by accumulating different molecular alterations, uncovering these mechanisms represents a grand challenge in cancer biology. Addressing this challenge will require new systems-based strategies that capture the intrinsic properties of cancer signaling networks and provide deeper understanding of the processes by which genetic lesions perturb these networks and lead to disease phenotypes. Network biology will help circumvent fundamental obstacles in cancer treatment, such as drug resistance and metastasis, empowering personalized and tumor-specific cancer therapies.

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Year:  2012        PMID: 22965061     DOI: 10.1038/nbt.2345

Source DB:  PubMed          Journal:  Nat Biotechnol        ISSN: 1087-0156            Impact factor:   54.908


  77 in total

1.  Structural basis and prediction of substrate specificity in protein serine/threonine kinases.

Authors:  Ross I Brinkworth; Robert A Breinl; Bostjan Kobe
Journal:  Proc Natl Acad Sci U S A       Date:  2002-12-26       Impact factor: 11.205

Review 2.  Reading protein modifications with interaction domains.

Authors:  Bruce T Seet; Ivan Dikic; Ming-Ming Zhou; Tony Pawson
Journal:  Nat Rev Mol Cell Biol       Date:  2006-07       Impact factor: 94.444

Review 3.  Understanding and exploiting substrate recognition by protein kinases.

Authors:  Benjamin E Turk
Journal:  Curr Opin Chem Biol       Date:  2008-03-07       Impact factor: 8.822

4.  Therapeutically targeting ErbB3: a key node in ligand-induced activation of the ErbB receptor-PI3K axis.

Authors:  Birgit Schoeberl; Emily A Pace; Jonathan B Fitzgerald; Brian D Harms; Lihui Xu; Lin Nie; Bryan Linggi; Ashish Kalra; Violette Paragas; Raghida Bukhalid; Viara Grantcharova; Neeraj Kohli; Kip A West; Magdalena Leszczyniecka; Michael J Feldhaus; Arthur J Kudla; Ulrik B Nielsen
Journal:  Sci Signal       Date:  2009-06-30       Impact factor: 8.192

5.  Hot spots for allosteric regulation on protein surfaces.

Authors:  Kimberly A Reynolds; Richard N McLaughlin; Rama Ranganathan
Journal:  Cell       Date:  2011-12-23       Impact factor: 41.582

Review 6.  Methods and goals for the use of in vitro and in vivo chemosensitivity testing.

Authors:  Rosalyn D Blumenthal; David M Goldenberg
Journal:  Mol Biotechnol       Date:  2007-02       Impact factor: 2.695

Review 7.  Mouse models of cancer: does the strain matter?

Authors:  Kent W Hunter
Journal:  Nat Rev Cancer       Date:  2012-01-19       Impact factor: 60.716

Review 8.  The cancer genome.

Authors:  Michael R Stratton; Peter J Campbell; P Andrew Futreal
Journal:  Nature       Date:  2009-04-09       Impact factor: 49.962

9.  Sequential application of anticancer drugs enhances cell death by rewiring apoptotic signaling networks.

Authors:  Michael J Lee; Albert S Ye; Alexandra K Gardino; Anne Margriet Heijink; Peter K Sorger; Gavin MacBeath; Michael B Yaffe
Journal:  Cell       Date:  2012-05-11       Impact factor: 41.582

10.  Sequence and structure signatures of cancer mutation hotspots in protein kinases.

Authors:  Anshuman Dixit; Lin Yi; Ragul Gowthaman; Ali Torkamani; Nicholas J Schork; Gennady M Verkhivker
Journal:  PLoS One       Date:  2009-10-16       Impact factor: 3.240

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  49 in total

Review 1.  Systems biology: perspectives on multiscale modeling in research on endocrine-related cancers.

Authors:  Robert Clarke; John J Tyson; Ming Tan; William T Baumann; Lu Jin; Jianhua Xuan; Yue Wang
Journal:  Endocr Relat Cancer       Date:  2019-06       Impact factor: 5.678

Review 2.  Contributions from emerging transcriptomics technologies and computational strategies for drug discovery.

Authors:  Onat Kadioglu; Thomas Efferth
Journal:  Invest New Drugs       Date:  2014-03-16       Impact factor: 3.850

3.  The development and application of a quantitative peptide microarray based approach to protein interaction domain specificity space.

Authors:  Brett W Engelmann; Yohan Kim; Miaoyan Wang; Bjoern Peters; Ronald S Rock; Piers D Nash
Journal:  Mol Cell Proteomics       Date:  2014-08-18       Impact factor: 5.911

4.  Network biology in medicine and beyond.

Authors:  Bai Zhang; Ye Tian; Zhen Zhang
Journal:  Circ Cardiovasc Genet       Date:  2014-08

Review 5.  Molecular and genetic inflammation networks in major human diseases.

Authors:  Yongzhong Zhao; Christian V Forst; Camil E Sayegh; I-Ming Wang; Xia Yang; Bin Zhang
Journal:  Mol Biosyst       Date:  2016-07-19

6.  Quantifying the underlying landscape and paths of cancer.

Authors:  Chunhe Li; Jin Wang
Journal:  J R Soc Interface       Date:  2014-11-06       Impact factor: 4.118

7.  Breast cancer prognosis predicted by nuclear receptor-coregulator networks.

Authors:  Tram B Doan; Natalie A Eriksson; Dinny Graham; John W Funder; Evan R Simpson; Elizabeth S Kuczek; Colin Clyne; Peter J Leedman; Wayne D Tilley; Peter J Fuller; George E O Muscat; Christine L Clarke
Journal:  Mol Oncol       Date:  2014-04-04       Impact factor: 6.603

8.  Computational approaches to identify functional genetic variants in cancer genomes.

Authors:  Abel Gonzalez-Perez; Ville Mustonen; Boris Reva; Graham R S Ritchie; Pau Creixell; Rachel Karchin; Miguel Vazquez; J Lynn Fink; Karin S Kassahn; John V Pearson; Gary D Bader; Paul C Boutros; Lakshmi Muthuswamy; B F Francis Ouellette; Jüri Reimand; Rune Linding; Tatsuhiro Shibata; Alfonso Valencia; Adam Butler; Serge Dronov; Paul Flicek; Nick B Shannon; Hannah Carter; Li Ding; Chris Sander; Josh M Stuart; Lincoln D Stein; Nuria Lopez-Bigas
Journal:  Nat Methods       Date:  2013-08       Impact factor: 28.547

9.  Proteomic Architecture of Human Coronary and Aortic Atherosclerosis.

Authors:  David M Herrington; Chunhong Mao; Sarah J Parker; Zongming Fu; Guoqiang Yu; Lulu Chen; Vidya Venkatraman; Yi Fu; Yizhi Wang; Timothy D Howard; Goo Jun; Caroline F Zhao; Yongmei Liu; Georgia Saylor; Weston R Spivia; Grace B Athas; Dana Troxclair; James E Hixson; Richard S Vander Heide; Yue Wang; Jennifer E Van Eyk
Journal:  Circulation       Date:  2018-06-19       Impact factor: 29.690

10.  Integration of Network Biology and Imaging to Study Cancer Phenotypes and Responses.

Authors:  Ye Tian; Sean S Wang; Zhen Zhang; Olga C Rodriguez; Emanuel Petricoin; Ie-Ming Shih; Daniel Chan; Maria Avantaggiati; Guoqiang Yu; Shaozhen Ye; Robert Clarke; Chao Wang; Bai Zhang; Yue Wang; Chris Albanese
Journal:  IEEE/ACM Trans Comput Biol Bioinform       Date:  2014-07-16       Impact factor: 3.710

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