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Metformin in pancreatic cancer treatment: from clinical trials through basic research to biomarker quantification

Overview of attention for article published in Journal of Cancer Research and Clinical Oncology, May 2016
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  • Good Attention Score compared to outputs of the same age (67th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

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2 X users
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1 patent

Citations

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22 Dimensions

Readers on

mendeley
48 Mendeley
Title
Metformin in pancreatic cancer treatment: from clinical trials through basic research to biomarker quantification
Published in
Journal of Cancer Research and Clinical Oncology, May 2016
DOI 10.1007/s00432-016-2178-4
Pubmed ID
Authors

Archana Bhaw-Luximon, Dhanjay Jhurry

Abstract

Three major chemotherapy strategies have emerged in the treatment of PDAC in the recent past: multiple drug combination, stroma depletion, and use of nanodrug therapy. Anti-diabetic metformin was shown to improve the outcome of a number of cancer types the first seminal report on an observational study published in 2005 and the first hospital-based case-control study on pancreatic cancer in 2009. In this review paper, we confront the findings of a selected number of epidemiological studies and clinical trials on the use of metformin in pancreatic cancer treatment with basic knowledge and research. We particularly emphasize on the point that contradictory clinical results likely originate from heterogeneous study design due to a trial and error approach rather than an evidence-based and scientific approach. A non-rigorous selection of patients suffering from PDAC and often a poor understanding of the biological mechanism of metformin coupled with lack of scientific data has led to general statements on metformin positive or negative action, another aspect which we highlight in the review. We here present a few pathways which in our opinion are predominant for pancreatic cancer specifically: mitochondrial activity, AMPK activation, mTOR inhibition, and decreased IGF-1R and HIF-1α expression. We stress on the need for a better stratification of patients and a more rigorous planning of clinical trials not only focusing on classical parameters but also on potential predictive biomarkers (AMPK, mTOR, HIF-1α, IGF-1R) and metformin dosage for positive outcome.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 21%
Student > Ph. D. Student 10 21%
Student > Bachelor 6 13%
Professor 2 4%
Student > Doctoral Student 1 2%
Other 4 8%
Unknown 15 31%
Readers by discipline Count As %
Medicine and Dentistry 11 23%
Biochemistry, Genetics and Molecular Biology 8 17%
Pharmacology, Toxicology and Pharmaceutical Science 3 6%
Immunology and Microbiology 2 4%
Agricultural and Biological Sciences 2 4%
Other 3 6%
Unknown 19 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 01 October 2020.
All research outputs
#7,155,520
of 23,815,455 outputs
Outputs from Journal of Cancer Research and Clinical Oncology
#521
of 2,632 outputs
Outputs of similar age
#98,564
of 303,721 outputs
Outputs of similar age from Journal of Cancer Research and Clinical Oncology
#5
of 28 outputs
Altmetric has tracked 23,815,455 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 2,632 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done well, scoring higher than 79% 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 303,721 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.