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Lipoprotein subfractions by nuclear magnetic resonance are associated with tumor characteristics in breast cancer

Overview of attention for article published in Lipids in Health and Disease, March 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

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1 blog
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1 X user

Citations

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35 Dimensions

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49 Mendeley
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Title
Lipoprotein subfractions by nuclear magnetic resonance are associated with tumor characteristics in breast cancer
Published in
Lipids in Health and Disease, March 2016
DOI 10.1186/s12944-016-0225-4
Pubmed ID
Authors

Vidar G. Flote, Riyas Vettukattil, Tone F. Bathen, Thore Egeland, Anne McTiernan, Hanne Frydenberg, Anders Husøy, Sissi E. Finstad, Jon Lømo, Øystein Garred, Ellen Schlichting, Erik A. Wist, Inger Thune

Abstract

High-Density Lipoprotein (HDL)-cholesterol, has been associated with breast cancer development, but the association is under debate, and whether lipoprotein subfractions is associated with breast tumor characteristics remains unclear. Among 56 women with newly diagnosed invasive breast cancer stage I/II, aged 35-75 years, pre-surgery overnight fasting serum concentrations of lipids were assessed, and body mass index (BMI) was measured. All breast tumors were immunohistochemically examined in the surgical specimen. Serum metabolomics of lipoprotein subfractions and their contents of cholesterol, free cholesterol, phospholipids, apolipoprotein-A1 and apolipoprotein-A2, were assessed using nuclear magnetic resonance. Principal component analysis, partial least square analysis, and uni- and multivariable linear regression models were used to study whether lipoprotein subfractions were associated with breast cancer tumor characteristics. The breast cancer patients had following means: age at diagnosis: 55.1 years; BMI: 25.1 kg/m(2); total-Cholesterol: 5.74 mmol/L; HDL-Cholesterol: 1.78 mmol/L; Low-Density Lipoprotein (LDL)-Cholesterol: 3.45 mmol/L; triglycerides: 1.18 mmol/L. The mean tumor size was 16.4 mm, and the mean Ki67 hotspot index was 26.5 %. Most (93 %) of the patients had estrogen receptor (ER) positive tumors (≥1 % ER+), and 82 % had progesterone receptor (PgR) positive tumors (≥10 % PgR+). Several HDL subfraction contents were strongly associated with PgR expression: Apolipoprotein-A1 (β 0.46, CI 0.22-0.69, p < 0.001), HDL cholesterol (β 0.95, CI 0.51-1.39, p < 0.001), HDL free cholesterol (β 2.88, CI 1.28-4.48, p = 0.001), HDL phospholipids (β 0.70, CI 0.36-1.04, p < 0.001). Similar results were observed for the subfractions of HDL1-3. We observed inverse associations between HDL phospholipids and Ki67 (β -0.25, p = 0.008), and in particular between HDL1's contents of cholesterol, phospholipids, apolipoprotein-A1, apolipoprotein-A2 and Ki67. No association was observed between lipoproteins and ER expression. Our findings hypothesize associations between different lipoprotein subfractions, and PgR expression, and Ki 67 % in breast tumors. These findings may have clinical implications, but require confirmation in larger studies.

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X Demographics

The data shown below were collected from the profile of 1 X user 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 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 22%
Student > Master 8 16%
Student > Bachelor 7 14%
Student > Ph. D. Student 5 10%
Professor > Associate Professor 3 6%
Other 4 8%
Unknown 11 22%
Readers by discipline Count As %
Medicine and Dentistry 12 24%
Biochemistry, Genetics and Molecular Biology 11 22%
Agricultural and Biological Sciences 6 12%
Chemistry 3 6%
Sports and Recreations 1 2%
Other 3 6%
Unknown 13 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 19 October 2018.
All research outputs
#4,082,318
of 22,856,968 outputs
Outputs from Lipids in Health and Disease
#272
of 1,448 outputs
Outputs of similar age
#63,867
of 300,258 outputs
Outputs of similar age from Lipids in Health and Disease
#8
of 36 outputs
Altmetric has tracked 22,856,968 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,448 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has done well, scoring higher than 81% 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 300,258 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.