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Tumour biology of obesity-related cancers: understanding the molecular concept for better diagnosis and treatment

Overview of attention for article published in Tumor Biology, September 2016
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  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

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3 X users

Citations

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23 Dimensions

Readers on

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77 Mendeley
Title
Tumour biology of obesity-related cancers: understanding the molecular concept for better diagnosis and treatment
Published in
Tumor Biology, September 2016
DOI 10.1007/s13277-016-5357-7
Pubmed ID
Authors

Seong Lin Teoh, Srijit Das

Abstract

Obesity continues to be a major global problem. Various cancers are related to obesity and proper understanding of their aetiology, especially their molecular tumour biology is important for early diagnosis and better treatment. Genes play an important role in the development of obesity. Few genes such as leptin, leptin receptor encoded by the db (diabetes), pro-opiomelanocortin, AgRP and NPY and melanocortin-4 receptors and insulin-induced gene 2 were linked to obesity. MicroRNAs control gene expression via mRNA degradation and protein translation inhibition and influence cell differentiation, cell growth and cell death. Overexpression of miR-143 inhibits tumour growth by suppressing B cell lymphoma 2, extracellular signal-regulated kinase-5 activities and KRAS oncogene. Cancers of the breast, uterus, renal, thyroid and liver are also related to obesity. Any disturbance in the production of sex hormones and insulin, leads to distortion in the balance between cell proliferation, differentiation and apoptosis. The possible mechanism linking obesity to cancer involves alteration in the level of adipokines and sex hormones. These mediators act as biomarkers for cancer progression and act as targets for cancer therapy and prevention. Interestingly, many anti-cancerous drugs are also beneficial in treating obesity and vice versa. We also reviewed the possible link in the mechanism of few drugs which act both on cancer and obesity. The present review may be important for molecular biologists, oncologists and clinicians treating cancers and also pave the way for better therapeutic options.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Unknown 76 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 16%
Researcher 10 13%
Student > Postgraduate 8 10%
Student > Bachelor 6 8%
Professor > Associate Professor 6 8%
Other 18 23%
Unknown 17 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 22%
Medicine and Dentistry 16 21%
Agricultural and Biological Sciences 12 16%
Veterinary Science and Veterinary Medicine 2 3%
Neuroscience 2 3%
Other 5 6%
Unknown 23 30%
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 29 September 2016.
All research outputs
#14,861,191
of 22,888,307 outputs
Outputs from Tumor Biology
#969
of 2,623 outputs
Outputs of similar age
#193,665
of 321,980 outputs
Outputs of similar age from Tumor Biology
#28
of 96 outputs
Altmetric has tracked 22,888,307 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,623 research outputs from this source. They receive a mean Attention Score of 2.3. This one has gotten more attention than average, scoring higher than 60% 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 321,980 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 96 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 64% of its contemporaries.