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Cancer Epigenetics for Precision Medicine

Overview of attention for book
Cover of 'Cancer Epigenetics for Precision Medicine'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Early Epigenetic Markers for Precision Medicine
  3. Altmetric Badge
    Chapter 2 Interplay Between Genetic and Epigenetic Changes in Breast Cancer Subtypes
  4. Altmetric Badge
    Chapter 3 Role of Microbiome in Carcinogenesis Process and Epigenetic Regulation of Colorectal Cancer
  5. Altmetric Badge
    Chapter 4 Epigenome-Based Precision Medicine in Lung Cancer
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    Chapter 4 Review on Current Trends of Deep Learning
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    Chapter 5 Epigenetics in Hematological Malignancies
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    Chapter 6 MicroRNAs Role in Prostate Cancer
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    Chapter 7 Effects of Dietary Nutrients on Epigenetic Changes in Cancer
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    Chapter 8 Diet, Microbiome, and Epigenetics in the Era of Precision Medicine
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    Chapter 9 Alcohol-Induced Epigenetic Changes in Cancer
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    Chapter 10 Epigenetic Basis of Circadian Rhythm Disruption in Cancer
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    Chapter 11 Epigenetic Changes of the Immune System with Role in Tumor Development
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    Chapter 12 DNA Methylation as a Biomarker of Aging in Epidemiologic Studies
  15. Altmetric Badge
    Chapter 13 Challenges and Opportunities in Social Epigenomics and Cancer
  16. Altmetric Badge
    Chapter 14 Epigenetic and Genetic Regulation of PDCD1 Gene in Cancer Immunology
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    Chapter 15 Methylation and MicroRNA Profiling to Understand Racial Disparities of Prostate Cancer
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    Chapter 16 Analysis of DNA Hypermethylation in Pancreatic Cancer Using Methylation-Specific PCR and Bisulfite Sequencing
  19. Altmetric Badge
    Chapter 17 Pyrosequencing Methylation Analysis
Attention for Chapter 2: Interplay Between Genetic and Epigenetic Changes in Breast Cancer Subtypes
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Chapter title
Interplay Between Genetic and Epigenetic Changes in Breast Cancer Subtypes
Chapter number 2
Book title
Cancer Epigenetics for Precision Medicine
Published in
Methods in molecular biology, September 2018
DOI 10.1007/978-1-4939-8751-1_2
Pubmed ID
Book ISBNs
978-1-4939-8750-4, 978-1-4939-8751-1
Authors

Ramona G. Dumitrescu, Dumitrescu, Ramona G.

Abstract

Breast cancer is the most common cancer among women and represents one of the top five leading causes of cancer-related mortality. Inherited and acquired genetic mutations as well as epigenetic aberrations are known to be important contributors to the development and progression of breast cancer. Recent developments in high-throughput technologies have increased our understanding of the molecular changes in breast cancer, leading to the identification of distinctive genetic and epigenetic modifications in different breast cancer molecular subtypes. These genetic and epigenetic changes in luminal A, luminal B, ERBB2/HER2-enriched, basal-like, and normal-like breast cancer subtypes are discussed in this chapter. Furthermore, recent epigenome studies provided more information about further stratification of breast cancer subtypes, with essential role in the appropriate diagnosis and treatment of breast cancer. Thus, the inclusion of both genetic and epigenetic information in breast cancer clinical care could provide critical scientific base for precision medicine in breast cancer.

X Demographics

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

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 21%
Student > Master 4 14%
Researcher 4 14%
Student > Ph. D. Student 3 10%
Librarian 1 3%
Other 1 3%
Unknown 10 34%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 17%
Medicine and Dentistry 5 17%
Agricultural and Biological Sciences 3 10%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Computer Science 1 3%
Other 1 3%
Unknown 13 45%
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 24 September 2021.
All research outputs
#15,544,609
of 23,102,082 outputs
Outputs from Methods in molecular biology
#5,412
of 13,208 outputs
Outputs of similar age
#212,131
of 335,392 outputs
Outputs of similar age from Methods in molecular biology
#97
of 247 outputs
Altmetric has tracked 23,102,082 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,208 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% 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 335,392 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 247 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.