NutriTRAILomics in prostate cancer: Time to have two strings to one's bow
Molecular Biology Reports, ISSN: 0301-4851, Vol: 39, Issue: 4, Page: 4909-4914
2012
- 11Citations
- 3Usage
- 26Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations11
- Citation Indexes11
- 11
- CrossRef8
- Usage3
- Abstract Views3
- Captures26
- Readers26
- 26
Review Description
The astonishing development of broad genomics and proteomics tools have catalyzed a new era in both therapeutic interventions and nutrition in prostate cancer. The terms pharmacogenomics and nutrigenomics have been derived out of their genetic forbears as large-scale genomics technologies have been established in the last decade. It is unquestionable that rationale of both disciplines is to individualize or personalize medicine and food and nutrition, and eventually health, by tailoring the drug or the food to the individual genotype. The purpose of this review is to significantly inspect results from current research concerning the mechanisms of action of phytonutrients and potential effects on prostate cancer. Substantial emerging data supports the synergistic adiministration of nutraceuticals with TRAIL in prostate cancer progression to circumvent TRAIL refractoriness. Nonetheless, developing novel scientific methods for discovery, validation, characterization and standardization of these multicomponent phyto-therapeutics is vital to their recognition into mainstream medicine. The key to interpret a personalized response is a greater comprehension of nutrigenomics, proteomics and metabolomics. © Springer Science+Business Media B.V. 2011.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84863113670&origin=inward; http://dx.doi.org/10.1007/s11033-011-1286-0; http://www.ncbi.nlm.nih.gov/pubmed/22143879; http://link.springer.com/10.1007/s11033-011-1286-0; https://digitalcommons.memphis.edu/facpubs/14033; https://digitalcommons.memphis.edu/cgi/viewcontent.cgi?article=15032&context=facpubs; https://dx.doi.org/10.1007/s11033-011-1286-0; https://link.springer.com/article/10.1007/s11033-011-1286-0; http://www.springerlink.com/index/10.1007/s11033-011-1286-0; http://www.springerlink.com/index/pdf/10.1007/s11033-011-1286-0
Springer Science and Business Media LLC
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