↓ Skip to main content

Altered glycometabolism affects both clinical features and prognosis of triple-negative and neoadjuvant chemotherapy-treated breast cancer

Overview of attention for article published in Tumor Biology, December 2015
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

dimensions_citation
57 Dimensions

Readers on

mendeley
48 Mendeley
Title
Altered glycometabolism affects both clinical features and prognosis of triple-negative and neoadjuvant chemotherapy-treated breast cancer
Published in
Tumor Biology, December 2015
DOI 10.1007/s13277-015-4729-8
Pubmed ID
Authors

Tieying Dong, Xinmei Kang, Zhaoliang Liu, Shu Zhao, Wenjie Ma, Qijia Xuan, Hang Liu, Zhipeng Wang, Qingyuan Zhang

Abstract

Glycometabolism is a distinctive aspect of energy metabolism in breast cancer, and key glycometabolism enzymes/pathways (glycolysis, hexosamine biosynthetic pathway, and pentose phosphate pathway) may directly or indirectly affect the clinical features. In this study, we analyzed the particular correlation between the altered glycometabolism and clinical features of breast cancer to instruct research and clinical treatment. Tissue microarrays containing 189 hollow needle aspiration samples and 295 triple-negative breast cancer tissues were used to test the expression of M2 isoform of pyruvate kinase (PKM2), glutamine-fructose-6-phosphate transaminase 1 (GFPT1), glucose-6-phosphate dehydrogenase (G6PD), and p53 by immunohistochemistry and the intensity of these glycometabolism-related protein was evaluated. Chi-square test, Kaplan-Meier estimates, and Cox proportional hazards model were used to analyze the relationship between the expression of these factors and major clinical features. PKM2, GFPT1, and G6PD affect the pathologic complete response rate of neoadjuvant chemotherapy patients in different ways; pyruvate kinase muscle isozyme 2 (PKM2) and G6PD are closely associated with the molecular subtypes, whereas GFPT1 is correlated with cancer size. All these three factors as well as p53 have impacts on the progression-free survival and overall survival of triple-negative breast cancer patients. Cancer size shows significant association with PKM2 and GFPT1 expression, while the pN stage and grade are associated with PKM2 and G6PD expression. Our study support that clinical characteristics are reflections of specific glycometabolism pathways, so their relationships may shed light on the orientation of research or clinical treatment. The expression of PKM2, GFPT1, and G6PD are hazardous factors for prognosis: high expression of these proteins predict worse progression-free survival and overall survival in triple-negative breast cancer, as well as worse pathologic complete response rate in neoadjuvant chemotherapy breast cancer. However, p53 appears as a protective factor only in the patients receiving neoadjuvant chemotherapy. All the four proteins, PKM2, GFPT1, G6PD and p53, are prognostic markers of breast cancer. The correlation among them suggests that there may be crosstalk of the four proteins in breast cancer.

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 > Bachelor 8 17%
Researcher 8 17%
Student > Ph. D. Student 7 15%
Student > Master 3 6%
Student > Doctoral Student 2 4%
Other 4 8%
Unknown 16 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 27%
Medicine and Dentistry 6 13%
Agricultural and Biological Sciences 4 8%
Nursing and Health Professions 2 4%
Engineering 2 4%
Other 3 6%
Unknown 18 38%
Attention Score in Context

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 31 December 2015.
All research outputs
#18,433,196
of 22,836,570 outputs
Outputs from Tumor Biology
#1,369
of 2,622 outputs
Outputs of similar age
#283,829
of 392,772 outputs
Outputs of similar age from Tumor Biology
#102
of 291 outputs
Altmetric has tracked 22,836,570 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,622 research outputs from this source. They receive a mean Attention Score of 2.2. This one is in the 30th percentile – i.e., 30% of its peers scored the same or lower than it.
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 392,772 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 291 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.