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Identifying Molecular Targets of Lifestyle Modifications in Colon Cancer Prevention

Overview of attention for article published in Frontiers in oncology, January 2013
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  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

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Title
Identifying Molecular Targets of Lifestyle Modifications in Colon Cancer Prevention
Published in
Frontiers in oncology, January 2013
DOI 10.3389/fonc.2013.00119
Pubmed ID
Authors

Molly M. Derry, Komal Raina, Chapla Agarwal, Rajesh Agarwal

Abstract

One in four deaths in the United States is cancer-related, and colorectal cancer (CRC) is the second leading cause of cancer-associated deaths. Screening strategies are utilized but have not reduced disease incidence or mortality. In this regard, there is an interest in cancer preventive strategies focusing on lifestyle intervention, where specific etiologic factors involved in cancer initiation, promotion, and progression could be targeted. For example, exposure to dietary carcinogens, such as nitrosamines and polycyclic aromatic hydrocarbons influences colon carcinogenesis. Furthermore, dietary deficiencies could alter sensitivity to genetic damage and influence carcinogen metabolism contributing to CRC. High alcohol consumption increases the risk of mutations including the fact that acetaldehyde, an ethanol metabolite, is classified as a group 1 carcinogen. Tobacco smoke exposure is also a risk factor for cancer development; approximately 20% of CRCs are associated with smoking. Additionally, obese patients have a higher risk of cancer development, which is further supported by the fact that physical activity decreases CRC risk by 55%. Similarly, chronic inflammatory conditions also increase the risk of CRC development. Moreover, the circadian clock alters digestion and regulates other biochemical, physiological, and behavioral processes that could influence CRC. Taken together, colon carcinogenesis involves a number of etiological factors, and therefore, to create effective preventive strategies, molecular targets need to be identified and beleaguered prior to disease progression. With this in mind, the following is a comprehensive review identifying downstream target proteins of the above lifestyle risk factors, which are modulated during colon carcinogenesis and could be targeted for CRC prevention by novel agents including phytochemicals.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 155 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 1%
United Kingdom 1 <1%
Sweden 1 <1%
Germany 1 <1%
Unknown 150 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 33 21%
Student > Ph. D. Student 23 15%
Student > Bachelor 16 10%
Researcher 15 10%
Student > Doctoral Student 10 6%
Other 22 14%
Unknown 36 23%
Readers by discipline Count As %
Medicine and Dentistry 33 21%
Agricultural and Biological Sciences 31 20%
Biochemistry, Genetics and Molecular Biology 19 12%
Nursing and Health Professions 8 5%
Psychology 5 3%
Other 19 12%
Unknown 40 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 17 November 2013.
All research outputs
#16,722,190
of 25,374,917 outputs
Outputs from Frontiers in oncology
#6,609
of 22,416 outputs
Outputs of similar age
#187,799
of 289,007 outputs
Outputs of similar age from Frontiers in oncology
#110
of 328 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,416 research outputs from this source. They receive a mean Attention Score of 3.0. This one has gotten more attention than average, scoring higher than 64% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 289,007 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 328 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.