OpenLB
Open Library of Bioscience
Advanced Search
Cancer research
12 01, 2016;76 (23): 6774-6777.

Systems Approaches to Cancer Biology.

Tenley C Archer, Elana J Fertig, Sara J C Gosline, Marc Hafner, Shannon K Hughes, Brian A Joughin, Aaron S Meyer, Stephen R Piccolo, Ayesha N Shajahan-Haq
Author Information
  1. Tenley C Archer: Department of Neurology, Boston Children's Hospital, Boston, Massachusetts.
  2. Elana J Fertig: Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, Maryland.
  3. Sara J C Gosline: Sage Bionetworks, Seattle, Washington.
  4. Marc Hafner: Department of Systems Biology, Harvard Medical School, Boston, Massachusetts.
  5. Shannon K Hughes: Division of Cancer Biology, National Cancer Institute of the NIH, Rockville, Maryland.
  6. Brian A Joughin: Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, Massachusetts.
  7. Aaron S Meyer: Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, Massachusetts. ameyer@asmlab.org.
  8. Stephen R Piccolo: Department of Biology, Brigham Young University, Provo, Utah.
  9. Ayesha N Shajahan-Haq: Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, District of Columbia.
PMID: 27864348 DOI: 10.1158/0008-5472.CAN-16-1580

Abstract

Cancer systems biology aims to understand cancer as an integrated system of genes, proteins, networks, and interactions rather than an entity of isolated molecular and cellular components. The inaugural Systems Approaches to Cancer Biology Conference, cosponsored by the Association of Early Career Cancer Systems Biologists and the National Cancer Institute of the NIH, focused on the interdisciplinary field of cancer systems biology and the challenging cancer questions that are best addressed through the combination of experimental and computational analyses. Attendees found that elucidating the many molecular features of cancer inevitably reveals new forms of complexity and concluded that ensuring the reproducibility and impact of cancer systems biology studies will require widespread method and data sharing and, ultimately, the translation of important findings to the clinic. Cancer Res; 76(23); 6774-7. ©2016 AACR.

References

  1. Cancer Res. 2014 Nov 1;74(21):5963-77 [PMID: 25189528]
  2. Cell Rep. 2016 Aug 16;16(7):2032-46 [PMID: 27498871]
  3. Cell. 2015 Sep 24;163(1):202-17 [PMID: 26388441]
  4. Cell. 2016 Apr 21;165(3):631-42 [PMID: 27062928]
  5. Science. 2011 Dec 2;334(6060):1226-7 [PMID: 22144613]
  6. Breast Cancer Res. 2015 Dec 08;17(1):149 [PMID: 26643555]
  7. Cell. 2015 Sep 24;163(1):187-201 [PMID: 26388442]
  8. Science. 2016 Mar 11;351(6278):1204-8 [PMID: 26965628]
  9. Proc Natl Acad Sci U S A. 2001 Sep 11;98(19):10869-74 [PMID: 11553815]
  10. J Natl Cancer Inst. 2013 Jun 5;105(11):802-11 [PMID: 23670728]
  11. Proc Natl Acad Sci U S A. 2012 Feb 21;109(8):2724-9 [PMID: 22003129]
  12. Circ Res. 2015 Jan 2;116(1):116-26 [PMID: 25552691]
  13. Nat Genet. 2015 Feb;47(2):106-14 [PMID: 25501392]
  14. Cancer Immunol Res. 2016 Jun;4(6):498-508 [PMID: 27059623]
  15. Cell Syst. 2015 Oct 28;1(4):302-305 [PMID: 26594663]
  16. Cell Syst. 2016 Feb 24;2(2):112-121 [PMID: 26942229]
  17. Nat Genet. 2013 Oct;45(10):1121-6 [PMID: 24071850]
  18. Integr Biol (Camb). 2015 Feb;7(2):198-212 [PMID: 25537447]
  19. Nature. 2012 Apr 18;486(7403):346-52 [PMID: 22522925]
  20. Mol Cancer Res. 2016 Jan;14(1):3-13 [PMID: 26248648]

Grants

  1. DP5 OD019815/NIH HHS
  2. R01 CA177669/NCI NIH HHS
  3. R01 CA201092/NCI NIH HHS

MeSH Term

Humans
Neoplasms
Systems Biology
Journal Article
Article has an altmetric score of 12

Word Cloud

Created with Highcharts 10.0.0CancercancersystemsbiologySystemsmolecularApproachesBiologyaimsunderstandintegratedsystemgenesproteinsnetworksinteractionsratherentityisolatedcellularcomponentsinauguralConferencecosponsoredAssociationEarlyCareerBiologistsNationalInstituteNIHfocusedinterdisciplinaryfieldchallengingquestionsbestaddressedcombinationexperimentalcomputationalanalysesAttendeesfoundelucidatingmanyfeaturesinevitablyrevealsnewformscomplexityconcludedensuringreproducibilityimpactstudieswillrequirewidespreadmethoddatasharingultimatelytranslationimportantfindingsclinicRes76236774-7©2016AACR

Similar Articles

Cited By