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MCT1 in Invasive Ductal Carcinoma: Monocarboxylate Metabolism and Aggressive Breast Cancer

Overview of attention for article published in Frontiers in Cell and Developmental Biology, April 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

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1 news outlet
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4 X users

Citations

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54 Dimensions

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58 Mendeley
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Title
MCT1 in Invasive Ductal Carcinoma: Monocarboxylate Metabolism and Aggressive Breast Cancer
Published in
Frontiers in Cell and Developmental Biology, April 2017
DOI 10.3389/fcell.2017.00027
Pubmed ID
Authors

Jennifer M. Johnson, Paolo Cotzia, Roberto Fratamico, Lekha Mikkilineni, Jason Chen, Daniele Colombo, Mehri Mollaee, Diana Whitaker-Menezes, Marina Domingo-Vidal, Zhao Lin, Tingting Zhan, Madalina Tuluc, Juan Palazzo, Ruth C. Birbe, Ubaldo E. Martinez-Outschoorn

Abstract

Introduction: Monocarboxylate transporter 1 (MCT1) is an importer of monocarboxylates such as lactate and pyruvate and a marker of mitochondrial metabolism. MCT1 is highly expressed in a subgroup of cancer cells to allow for catabolite uptake from the tumor microenvironment to support mitochondrial metabolism. We studied the protein expression of MCT1 in a broad group of breast invasive ductal carcinoma specimens to determine its association with breast cancer subtypes and outcomes. Methods: MCT1 expression was evaluated by immunohistochemistry on tissue micro-arrays (TMA) obtained through our tumor bank. Two hundred and fifty-seven cases were analyzed: 180 cases were estrogen receptor and/or progesterone receptor positive (ER+ and/or PR+), 62 cases were human epidermal growth factor receptor 2 positive (HER2+), and 56 cases were triple negative breast cancers (TNBC). MCT1 expression was quantified by digital pathology with Aperio software. The intensity of the staining was measured on a continuous scale (0-black to 255-bright white) using a co-localization algorithm. Statistical analysis was performed using a linear mixed model. Results: High MCT1 expression was more commonly found in TNBC compared to ER+ and/or PR+ and compared to HER-2+ (p < 0.001). Tumors with an in-situ component were less likely to stain strongly for MCT1 (p < 0.05). High nuclear grade was associated with higher MCT1 staining (p < 0.01). Higher T stage tumors were noted to have a higher expression of MCT1 (p < 0.05). High MCT1 staining in cancer cells was associated with shorter progression free survival, increased risk of recurrence, and larger size independent of TNBC status (p < 0.05). Conclusion: MCT1 expression, which is a marker of high catabolite uptake and mitochondrial metabolism, is associated with recurrence in breast invasive ductal carcinoma. MCT1 expression as quantified with digital image analysis may be useful as a prognostic biomarker and to design clinical trials using MCT1 inhibitors.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 58 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 21%
Researcher 12 21%
Student > Bachelor 6 10%
Other 4 7%
Student > Master 4 7%
Other 7 12%
Unknown 13 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 21%
Agricultural and Biological Sciences 11 19%
Medicine and Dentistry 8 14%
Chemistry 5 9%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Other 5 9%
Unknown 15 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 2022.
All research outputs
#2,673,678
of 22,962,258 outputs
Outputs from Frontiers in Cell and Developmental Biology
#480
of 9,091 outputs
Outputs of similar age
#51,593
of 308,921 outputs
Outputs of similar age from Frontiers in Cell and Developmental Biology
#5
of 46 outputs
Altmetric has tracked 22,962,258 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,091 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 94% 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 308,921 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 83% of its contemporaries.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.