| Title |
Population Sciences, Translational Research, and the Opportunities and Challenges for Genomics to Reduce the Burden of Cancer in the 21st Century
|
|---|---|
| Published in |
Cancer Epidemiology, Biomarkers & Prevention, October 2011
|
| DOI | 10.1158/1055-9965.epi-11-0481 |
| Pubmed ID | |
| Authors |
Muin J. Khoury, Steven B. Clauser, Andrew N. Freedman, Elizabeth M. Gillanders, Russ E. Glasgow, William M.P. Klein, Sheri D. Schully |
| Abstract |
Advances in genomics and related fields are promising tools for risk assessment, early detection, and targeted therapies across the entire cancer care continuum. In this commentary, we submit that this promise cannot be fulfilled without an enhanced translational genomics research agenda firmly rooted in the population sciences. Population sciences include multiple disciplines that are needed throughout the translational research continuum. For example, epidemiologic studies are needed not only to accelerate genomic discoveries and new biological insights into cancer etiology and pathogenesis, but to characterize and critically evaluate these discoveries in well-defined populations for their potential for cancer prediction, prevention and response to treatment. Behavioral, social, and communication sciences are needed to explore genomic-modulated responses to old and new behavioral interventions, adherence to therapies, decision making across the continuum, and effective use in health care. Implementation science, health services, outcomes research, comparative effectiveness research, and regulatory science are needed for moving validated genomic applications into practice and for measuring their effectiveness, cost-effectiveness, and unintended consequences. Knowledge synthesis, evidence reviews, and economic modeling of the effects of promising genomic applications will facilitate policy decisions and evidence-based recommendations. Several independent and multidisciplinary panels have recently made specific recommendations for enhanced research and policy infrastructure to inform clinical and population research for moving genomic innovations into the cancer care continuum. An enhanced translational genomics and population sciences agenda is urgently needed to fulfill the promise of genomics in reducing the burden of cancer. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 1% |
| Australia | 1 | 1% |
| United Kingdom | 1 | 1% |
| Canada | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 94 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 21% |
| Researcher | 17 | 17% |
| Student > Master | 9 | 9% |
| Student > Postgraduate | 7 | 7% |
| Student > Doctoral Student | 6 | 6% |
| Other | 25 | 25% |
| Unknown | 14 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 31 | 31% |
| Agricultural and Biological Sciences | 13 | 13% |
| Social Sciences | 9 | 9% |
| Nursing and Health Professions | 4 | 4% |
| Biochemistry, Genetics and Molecular Biology | 4 | 4% |
| Other | 22 | 22% |
| Unknown | 16 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 July 2014.
All research outputs
#17,283,763
of 25,371,288 outputs
Outputs from Cancer Epidemiology, Biomarkers & Prevention
#3,395
of 4,847 outputs
Outputs of similar age
#101,548
of 144,695 outputs
Outputs of similar age from Cancer Epidemiology, Biomarkers & Prevention
#32
of 40 outputs
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