Difference between revisions of "Cancer informatics"
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'''Cancer informatics''' is a multidisciplinary field of science that "deals with the resources, devices, and methods required to optimize the acquisition, storage, retrieval, and use of [[information]] in cancer" research and treatment.<ref name="NCRACancerInfo">{{cite web |url=http://www.ncra-usa.org/i4a/pages/index.cfm?pageid=3934 |title=Cancer Informatics |publisher=National Cancer Registrars Association |accessdate=19 June 2014}}</ref> Like many other fields of science, researchers in cancer biology have seen a dramatic increase in the amount of clinical and research data, in particular with genomic and molecular cancer data. While this data can benefit researchers' understanding of cancer behavior and development of better therapies, new and improved data management and analysis tools are needed. Cancer informatics attempts to provide those tools "that interconnect research, clinical activities, and data in an organized and efficient manner, with as broad a database as possible."<ref name="NassInfo">{{cite book |url=http://books.google.com/books?id=qWuJAco_5R8C&pg=PA7 |chapter=Chapter 2: Overview of the Cancer Informatics Landscape |title=Informatics Needs and Challenges in Cancer Research: Workshop Summary |author=Nass, Sharyl J.; Wizemann, Theresa (eds.) |publisher=National Academies Press |pages=7–30 |year=2012 |isbn=9780309259484 |accessdate=19 June 2014}}</ref> For many, the coupling of cancer informatics and other [[bioinformatics]] tools with computational modeling and statistical analysis will accelerate the goal of making cancer a more treatable if not curable disease.<ref name="OchsBio">{{cite book |url=http://books.google.com/books?id=Ej8J_BZFON4C&printsec=frontcover |chapter=Chapter 1: Biomedical Informatics for Cancer Research: Introduction |title=Biomedical Informatics for Cancer Research |authors=Ochs, Michael F.; Casagrande, John T.; Davuluri, Ramana V. |publisher=Springer |pages=3–16 |year=2010 |isbn=9781441957122 |accessdate=19 June 2014}}</ref> | '''Cancer informatics''' is a multidisciplinary field of science that "deals with the resources, devices, and methods required to optimize the acquisition, storage, retrieval, and use of [[information]] in cancer" research and treatment.<ref name="NCRACancerInfo">{{cite web |url=http://www.ncra-usa.org/i4a/pages/index.cfm?pageid=3934 |title=Cancer Informatics |publisher=National Cancer Registrars Association |accessdate=19 June 2014}}</ref> Like many other fields of science, researchers in cancer biology have seen a dramatic increase in the amount of clinical and research data, in particular with genomic and molecular cancer data. While this data can benefit researchers' understanding of cancer behavior and development of better therapies, new and improved data management and analysis tools are needed. Cancer informatics attempts to provide those tools "that interconnect research, clinical activities, and data in an organized and efficient manner, with as broad a database as possible."<ref name="NassInfo">{{cite book |url=http://books.google.com/books?id=qWuJAco_5R8C&pg=PA7 |chapter=Chapter 2: Overview of the Cancer Informatics Landscape |title=Informatics Needs and Challenges in Cancer Research: Workshop Summary |author=Nass, Sharyl J.; Wizemann, Theresa (eds.) |publisher=National Academies Press |pages=7–30 |year=2012 |isbn=9780309259484 |accessdate=19 June 2014}}</ref> For many, the coupling of cancer informatics and other [[bioinformatics]] tools with computational modeling and statistical analysis will accelerate the goal of making cancer a more treatable if not curable disease.<ref name="OchsBio">{{cite book |url=http://books.google.com/books?id=Ej8J_BZFON4C&printsec=frontcover |chapter=Chapter 1: Biomedical Informatics for Cancer Research: Introduction |title=Biomedical Informatics for Cancer Research |authors=Ochs, Michael F.; Casagrande, John T.; Davuluri, Ramana V. |publisher=Springer |pages=3–16 |year=2010 |isbn=9781441957122 |accessdate=19 June 2014}}</ref> | ||
==Application== | ==Application== | ||
Cancer informatics can help tackle problems and tasks such as the following<ref name="OchsBio" />: | Cancer informatics can help tackle problems and tasks such as the following<ref name="OchsBio" /><ref name="SalemMachine">{{cite book |url=http://link.springer.com/chapter/10.1007%2F978-3-319-00029-9_1 |chapter=Chapter 1: Machine Learning Applications in Cancer Informatics |title=Advances in Intelligent Analysis of Medical Data and Decision Support Systems |series=Studies in Computational Intelligence |author=Salem, Abdel-Badeeh M. |publisher=Springer |pages=1–14 |year=2013 |isbn=9783319000282 |accessdate=19 June 2014}}</ref>: | ||
* the development of computational diagnosis, prognosis, and predictive models | * the development of computational diagnosis, prognosis, and predictive models | ||
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* the tracking of the aberrations that drive a particular cancer's growth | * the tracking of the aberrations that drive a particular cancer's growth | ||
==Informatics== | |||
==Informatics== | ===In the United States=== | ||
In the U.S., the field of cancer informatics became much more noticeable with the late 1990s push by the [[National Cancer Institute]]'s director Richard D. Klausner to create "a Cancer Informatics Infrastructure (CII) to enable the cancer research enterprise and to link it to the delivery of cancer care."<ref name="SilvaCI">{{cite book |url=http://books.google.com/books?id=DhNSheaOeDEC |chapter=Foreward |title=Cancer Informatics: Essential Technologies for Clinical Trials |series=Health Informatics |author=Klausner, Richard D.; Silva, John S. (ed.) |pages=vii–x |year=2002 |isbn=9781461265474 |accessdate=19 June 2014}}</ref> | |||
Revision as of 20:45, 19 June 2014
Cancer informatics is a multidisciplinary field of science that "deals with the resources, devices, and methods required to optimize the acquisition, storage, retrieval, and use of information in cancer" research and treatment.[1] Like many other fields of science, researchers in cancer biology have seen a dramatic increase in the amount of clinical and research data, in particular with genomic and molecular cancer data. While this data can benefit researchers' understanding of cancer behavior and development of better therapies, new and improved data management and analysis tools are needed. Cancer informatics attempts to provide those tools "that interconnect research, clinical activities, and data in an organized and efficient manner, with as broad a database as possible."[2] For many, the coupling of cancer informatics and other bioinformatics tools with computational modeling and statistical analysis will accelerate the goal of making cancer a more treatable if not curable disease.[3]
Application
Cancer informatics can help tackle problems and tasks such as the following[3][4]:
- the development of computational diagnosis, prognosis, and predictive models
- the development of standards for the entry, annotation, and sharing of clinical cancer data
- the management and distribution of annotated molecular data for further research
- the analysis of an individual tumor to determine it molecular phenotype
- the development of a treatment plan based on a tumor's molecular phenotype
- the tracking of the aberrations that drive a particular cancer's growth
Informatics
In the United States
In the U.S., the field of cancer informatics became much more noticeable with the late 1990s push by the National Cancer Institute's director Richard D. Klausner to create "a Cancer Informatics Infrastructure (CII) to enable the cancer research enterprise and to link it to the delivery of cancer care."[5]
External links
- Cancer Informatics journal
- Cancer Informatics Summit
- CancerLinQ
- National Cancer Informatics Program homepage
- National Cancer Informatics Program at GitHub
References
- ↑ "Cancer Informatics". National Cancer Registrars Association. http://www.ncra-usa.org/i4a/pages/index.cfm?pageid=3934. Retrieved 19 June 2014.
- ↑ Nass, Sharyl J.; Wizemann, Theresa (eds.) (2012). "Chapter 2: Overview of the Cancer Informatics Landscape". Informatics Needs and Challenges in Cancer Research: Workshop Summary. National Academies Press. pp. 7–30. ISBN 9780309259484. http://books.google.com/books?id=qWuJAco_5R8C&pg=PA7. Retrieved 19 June 2014.
- ↑ 3.0 3.1 Ochs, Michael F.; Casagrande, John T.; Davuluri, Ramana V. (2010). "Chapter 1: Biomedical Informatics for Cancer Research: Introduction". Biomedical Informatics for Cancer Research. Springer. pp. 3–16. ISBN 9781441957122. http://books.google.com/books?id=Ej8J_BZFON4C&printsec=frontcover. Retrieved 19 June 2014.
- ↑ Salem, Abdel-Badeeh M. (2013). "Chapter 1: Machine Learning Applications in Cancer Informatics". Advances in Intelligent Analysis of Medical Data and Decision Support Systems. Studies in Computational Intelligence. Springer. pp. 1–14. ISBN 9783319000282. http://link.springer.com/chapter/10.1007%2F978-3-319-00029-9_1. Retrieved 19 June 2014.
- ↑ Klausner, Richard D.; Silva, John S. (ed.) (2002). "Foreward". Cancer Informatics: Essential Technologies for Clinical Trials. Health Informatics. pp. vii–x. ISBN 9781461265474. http://books.google.com/books?id=DhNSheaOeDEC. Retrieved 19 June 2014.
