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Translational Research in Breast Cancer

Overview of attention for book
Cover of 'Translational Research in Breast Cancer'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 The Dawning of Translational Breast Cancer: From Bench to Bedside
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    Chapter 2 Biomarker Studies in Early Detection and Prognosis of Breast Cancer
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    Chapter 3 The Preventive Intervention of Hereditary Breast Cancer
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    Chapter 4 Predicting and Overcoming Chemotherapeutic Resistance in Breast Cancer
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    Chapter 5 Studies on DNA Damage Repair and Precision Radiotherapy for Breast Cancer
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    Chapter 6 Targeted Therapies Against Growth Factor Signaling in Breast Cancer
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    Chapter 7 Targeting Stemness: Implications for Precision Medicine in Breast Cancer
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    Chapter 8 Disrupting Tumor Angiogenesis and “the Hunger Games” for Breast Cancer
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    Chapter 9 Key Factors in Breast Cancer Dissemination and Establishment at the Bone: Past, Present and Future Perspectives
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    Chapter 10 Perspectives of Reprogramming Breast Cancer Metabolism
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    Chapter 11 Metabolic Changes During Cancer Cachexia Pathogenesis
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    Chapter 12 Cell Cycle Regulation in Treatment of Breast Cancer
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    Chapter 13 BRCA Gene Mutations and Poly(ADP-Ribose) Polymerase Inhibitors in Triple-Negative Breast Cancer
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    Chapter 14 Targeting the Epigenome as a Novel Therapeutic Approach for Breast Cancer
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    Chapter 15 Progress in Vaccine Therapies for Breast Cancer
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    Chapter 16 Tumor Associated Macrophages as Therapeutic Targets for Breast Cancer
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    Chapter 17 New Approaches in CAR-T Cell Immunotherapy for Breast Cancer
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    Chapter 18 Immune Checkpoint Blockade in Breast Cancer Therapy
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    Chapter 19 Strategies and Progress of Endocrine Therapy for Patients with Metastatic Breast Cancer
Attention for Chapter 11: Metabolic Changes During Cancer Cachexia Pathogenesis
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Chapter title
Metabolic Changes During Cancer Cachexia Pathogenesis
Chapter number 11
Book title
Translational Research in Breast Cancer
Published in
Advances in experimental medicine and biology, January 2017
DOI 10.1007/978-981-10-6020-5_11
Pubmed ID
Book ISBNs
978-9-81-106019-9, 978-9-81-106020-5
Authors

Ng Shyh-Chang, Shyh-Chang, Ng

Abstract

Wasting of adipose tissue and skeletal muscle is a hallmark of metastatic cancer and a major cause of death. Like patients with cachexia caused by other chronic infections or inflammatory diseases, the cancer subject manifests both malnutrition and metabolic stress. Both carbohydrate utilization and amino acid incorporation are decreased in the muscles of cancer cachexia patients. Cancer cells affect host metabolism in two ways: (a) their own metabolism of nutrients into other metabolites and (b) circulating factors they secrete or induce the host to secrete. Accelerated glycolysis and lactate production, i.e., the Warburg effect and the resultant increase in Cori cycle activity, are the most widely discussed metabolic effects. Meanwhile, although a large number of pro-cachexia circulating factors have been found, such as TNFa, IL-6, myostatin, and PTHrp, none have been shown to be a dominant factor that can be targeted singly to treat cancer cachexia in humans. It is possible that given the complex multifactorial nature of the cachexia secretome, and the personalized differences between cancer patients, targeting any single circulating factor would always be insufficient to treat cachexia for all patients. Here we review the metabolic changes that occur in response to tumor growth and tumor-secreted factors during cachexia.

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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 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 15%
Student > Bachelor 6 13%
Student > Doctoral Student 4 9%
Student > Postgraduate 4 9%
Researcher 4 9%
Other 5 11%
Unknown 16 35%
Readers by discipline Count As %
Medicine and Dentistry 10 22%
Chemistry 4 9%
Biochemistry, Genetics and Molecular Biology 4 9%
Nursing and Health Professions 2 4%
Mathematics 2 4%
Other 6 13%
Unknown 18 39%
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 05 January 2018.
All research outputs
#18,349,015
of 23,577,761 outputs
Outputs from Advances in experimental medicine and biology
#3,186
of 5,040 outputs
Outputs of similar age
#297,394
of 423,942 outputs
Outputs of similar age from Advances in experimental medicine and biology
#316
of 490 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,040 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 32nd percentile – i.e., 32% 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 423,942 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 490 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.