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Metabolomics approaches in pancreatic adenocarcinoma: tumor metabolism profiling predicts clinical outcome of patients

Overview of attention for article published in BMC Medicine, March 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#18 of 1,785)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
55 news outlets
twitter
3 tweeters
video
1 video uploader

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
32 Mendeley
Title
Metabolomics approaches in pancreatic adenocarcinoma: tumor metabolism profiling predicts clinical outcome of patients
Published in
BMC Medicine, March 2017
DOI 10.1186/s12916-017-0810-z
Pubmed ID
Authors

S. Battini, F. Faitot, A. Imperiale, A. E. Cicek, C. Heimburger, G. Averous, P. Bachellier, I. J. Namer

Abstract

Pancreatic adenocarcinomas (PAs) have very poor prognoses even when surgery is possible. Currently, there are no tissular biomarkers to predict long-term survival in patients with PA. The aims of this study were to (1) describe the metabolome of pancreatic parenchyma (PP) and PA, (2) determine the impact of neoadjuvant chemotherapy on PP and PA, and (3) find tissue metabolic biomarkers associated with long-term survivors, using metabolomics analysis. (1)H high-resolution magic angle spinning (HRMAS) nuclear magnetic resonance (NMR) spectroscopy using intact tissues was applied to analyze metabolites in PP tissue samples (n = 17) and intact tumor samples (n = 106), obtained from 106 patients undergoing surgical resection for PA. An orthogonal partial least square-discriminant analysis (OPLS-DA) showed a clear distinction between PP and PA. Higher concentrations of myo-inositol and glycerol were shown in PP, whereas higher levels of glucose, ascorbate, ethanolamine, lactate, and taurine were revealed in PA. Among those metabolites, one of them was particularly obvious in the distinction between long-term and short-term survivors. A high ethanolamine level was associated with worse survival. The impact of neoadjuvant chemotherapy was higher on PA than on PP. This study shows that HRMAS NMR spectroscopy using intact tissue provides important and solid information in the characterization of PA. Metabolomics profiling can also predict long-term survival: the assessment of ethanolamine concentration can be clinically relevant as a single metabolic biomarker. This information can be obtained in 20 min, during surgery, to distinguish long-term from short-term survival.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 8 25%
Student > Ph. D. Student 6 19%
Student > Bachelor 5 16%
Researcher 5 16%
Student > Doctoral Student 4 13%
Other 4 13%
Readers by discipline Count As %
Unspecified 10 31%
Agricultural and Biological Sciences 9 28%
Medicine and Dentistry 9 28%
Biochemistry, Genetics and Molecular Biology 3 9%
Chemistry 1 3%
Other 0 0%

Attention Score in Context

This research output has an Altmetric Attention Score of 433. 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 02 May 2017.
All research outputs
#14,923
of 9,756,998 outputs
Outputs from BMC Medicine
#18
of 1,785 outputs
Outputs of similar age
#1,126
of 256,758 outputs
Outputs of similar age from BMC Medicine
#3
of 63 outputs
Altmetric has tracked 9,756,998 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,785 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 32.2. This one has done particularly well, scoring higher than 98% 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 256,758 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.