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Improving Outcomes for Breast Cancer Survivors

Overview of attention for book
Cover of 'Improving Outcomes for Breast Cancer Survivors'

Table of Contents

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    Book Overview
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    Chapter 1 Breast Cancer Survivorship: Where Are We Today?
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    Chapter 2 Special Issues in Younger Women with Breast Cancer
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    Chapter 3 Special Issues in Older Women with Breast Cancer
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    Chapter 4 Breast Cancer Among Special Populations: Disparities in Care Across the Cancer Control Continuum
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    Chapter 5 Symptoms: Fatigue and Cognitive Dysfunction
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    Chapter 6 Symptoms: Chemotherapy-Induced Peripheral Neuropathy
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    Chapter 7 Symptoms: Aromatase Inhibitor Induced Arthralgias
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    Chapter 8 Symptoms: Lymphedema
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    Chapter 9 Symptoms: Menopause, Infertility, and Sexual Health
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    Chapter 10 Host Factors and Risk of Breast Cancer Recurrence: Genetic, Epigenetic and Biologic Factors and Breast Cancer Outcomes.
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    Chapter 11 Comorbidities and Their Management: Potential Impact on Breast Cancer Outcomes
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    Chapter 12 Modifiable Lifestyle Factors and Breast Cancer Outcomes: Current Controversies and Research Recommendations.
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    Chapter 13 Risk Reduction from Weight Management and Physical Activity Interventions
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    Chapter 14 Prevention and Treatment of Cardiac Dysfunction in Breast Cancer Survivors.
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    Chapter 15 Psychological Adjustment in Breast Cancer Survivors
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    Chapter 16 Living with Metastatic Breast Cancer.
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    Chapter 17 Quality of Care, Including Survivorship Care Plans.
Attention for Chapter 10: Host Factors and Risk of Breast Cancer Recurrence: Genetic, Epigenetic and Biologic Factors and Breast Cancer Outcomes.
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Chapter title
Host Factors and Risk of Breast Cancer Recurrence: Genetic, Epigenetic and Biologic Factors and Breast Cancer Outcomes.
Chapter number 10
Book title
Improving Outcomes for Breast Cancer Survivors
Published in
Advances in experimental medicine and biology, January 2015
DOI 10.1007/978-3-319-16366-6_10
Pubmed ID
Book ISBNs
978-3-31-916365-9, 978-3-31-916366-6
Authors

Ambrosone, Christine B, Hong, Chi-Chen, Goodwin, Pamela J, Christine B. Ambrosone, Chi-Chen Hong, Pamela J. Goodwin

Abstract

Among women with breast cancer, there is wide variability in outcomes, both in treatment-related toxicities and disease-free survival (DFS). Primary predictors of DFS are those related to the extent of the disease and tumor characteristics, associated not only with tumor aggressiveness, but also responsiveness to targeted therapies. Inherited germline variation may also play a role in cancer treatment outcomes, and there have been studies targeting drug metabolism and other candidate pathways as well as genome-wide association studies (GWAS), which take a more agnostic approach and interrogate hundreds of thousands single nucleotide polymorphisms (SNPs) to determine those that modify response to breast cancer treatment. While this field of pharmacogenetics and pharmacogenomics has held exciting promise for personalized medicine, the results have not been as consistent, or the effects as profound, as first hoped. An emerging field in studies of cancer prognosis is epigenetics, which regulates DNA expression and can be influenced by numerous biologic processes as well as environmental exposures. Although young, this field of research likely holds promise for understanding of epigenetic mechanisms driving cancer and cancer outcomes, with a potential to modify these factors through drugs or other approaches. Finally, circulating markers in blood that reflect some lifestyle factors have also been studies in relation to cancer outcomes, particularly Vitamin D. In this chapter, we highlight advances in the areas noted above, and comment on factors that can impact interpretation of results from observational studies. We also discuss future directions, and avenues necessary to move the field forward.

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

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 18%
Researcher 4 12%
Student > Bachelor 3 9%
Student > Ph. D. Student 3 9%
Student > Doctoral Student 2 6%
Other 6 18%
Unknown 9 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 21%
Medicine and Dentistry 3 9%
Agricultural and Biological Sciences 3 9%
Psychology 3 9%
Nursing and Health Professions 2 6%
Other 6 18%
Unknown 9 27%
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 11 June 2015.
All research outputs
#20,278,422
of 22,811,321 outputs
Outputs from Advances in experimental medicine and biology
#3,968
of 4,950 outputs
Outputs of similar age
#295,824
of 353,098 outputs
Outputs of similar age from Advances in experimental medicine and biology
#189
of 272 outputs
Altmetric has tracked 22,811,321 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 4,950 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one is in the 1st percentile – i.e., 1% 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 353,098 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 272 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.