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Bone marrow adipocytes promote the Warburg phenotype in metastatic prostate tumors via HIF-1α activation

Overview of attention for article published in Oncotarget, August 2016
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1 tweeter

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63 Mendeley
Title
Bone marrow adipocytes promote the Warburg phenotype in metastatic prostate tumors via HIF-1α activation
Published in
Oncotarget, August 2016
DOI 10.18632/oncotarget.11712
Pubmed ID
Authors

Jonathan D. Diedrich, Erandi Rajagurubandara, Mackenzie K. Herroon, Gargi Mahapatra, Maik Hüttemann, Izabela Podgorski

Abstract

Metabolic adaptation is increasingly recognized as a key factor in tumor progression, yet its involvement in metastatic bone disease is not understood. Bone is as an adipocyte-rich organ, and a major site of metastasis from prostate cancer. Bone marrow adipocytes are metabolically active cells capable of shaping tumor metabolism via lipolysis and lipid transfer. In this study, using in vitro and in vivo models of marrow adiposity, we demonstrate that marrow fat cells promote Warburg phenotype in metastatic prostate cancer cells. We show increased expression of glycolytic enzymes, increased lactate production, and decreased mitochondrial oxidative phosphorylation in tumor cells exposed to adipocytes that require paracrine signaling between the two cell types. We also reveal that prostate cancer cells are capable of inducing adipocyte lipolysis as a postulated mechanism of sustenance. We provide evidence that adipocytes drive metabolic reprogramming of tumor cells via oxygen-independent mechanism of HIF-1α activation that can be reversed by HIF-1α downregulation. Importantly, we also demonstrate that the observed metabolic signature in tumor cells exposed to adipocytes mimics the expression patterns seen in patients with metastatic disease. Together, our data provide evidence for a functional relationship between marrow adipocytes and tumor cells in bone that has likely implications for tumor growth and survival within the metastatic niche.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 63 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 24%
Student > Ph. D. Student 13 21%
Student > Bachelor 10 16%
Student > Master 5 8%
Student > Doctoral Student 5 8%
Other 8 13%
Unknown 7 11%
Readers by discipline Count As %
Medicine and Dentistry 20 32%
Biochemistry, Genetics and Molecular Biology 11 17%
Agricultural and Biological Sciences 8 13%
Engineering 3 5%
Computer Science 2 3%
Other 7 11%
Unknown 12 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 03 September 2016.
All research outputs
#7,193,819
of 8,320,311 outputs
Outputs from Oncotarget
#5,854
of 8,831 outputs
Outputs of similar age
#210,968
of 251,997 outputs
Outputs of similar age from Oncotarget
#236
of 297 outputs
Altmetric has tracked 8,320,311 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,831 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 297 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.