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Breast Cancer

Overview of attention for book
Cover of 'Breast Cancer'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Basic Histopathological Methods and Breast Lesion Types for Research.
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    Chapter 2 Clinical Applications for Immunohistochemistry of Breast Lesions
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    Chapter 3 Immunohistochemistry for Triple-Negative Breast Cancer.
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    Chapter 4 In Situ Hybridization of Breast Cancer Markers.
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    Chapter 5 Evaluation of Human Epidermal Growth Factor Receptor 2 (HER2) Gene Status in Human Breast Cancer Formalin-Fixed Paraffin-Embedded (FFPE) Tissue Specimens by Fluorescence In Situ Hybridization (FISH).
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    Chapter 6 Quantification of mRNA Levels Using Real-Time Polymerase Chain Reaction (PCR).
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    Chapter 7 Detection of miRNA in Cultured Cells or Xenograft Tissues of Breast Cancer.
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    Chapter 8 Pyrosequencing Analysis for Breast Cancer DNA Methylome.
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    Chapter 9 Vita-Assay™ Method of Enrichment and Identification of Circulating Cancer Cells/Circulating Tumor Cells (CTCs).
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    Chapter 10 Breast Cancer Stem Cell Isolation.
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    Chapter 11 Cellular Apoptosis Assay of Breast Cancer.
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    Chapter 12 Assessment of Matrix Metalloproteinases by Gelatin Zymography.
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    Chapter 13 Assessment of Synthetic Matrix Metalloproteinase Inhibitors by Fluorogenic Substrate Assay
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    Chapter 14 Determination of Breast Cancer Cell Migratory Ability.
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    Chapter 15 A Novel Collagen Dot Assay for Monitoring Cancer Cell Migration
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    Chapter 16 Three-Dimensional Assay for Studying Breast Cancer Cell Invasion.
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    Chapter 17 A Combined Phagocytosis and Fluorescent Substrate Degradation Assay to Simultaneously Assess Cell Migration and Substrate Degradation
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    Chapter 18 Analysis of Invadopodia Formation in Breast Cancer Cells.
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    Chapter 19 Patient-Derived Tumor Xenograft Models of Breast Cancer.
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    Chapter 20 Monitoring Phosphatidic Acid Signaling in Breast Cancer Cells Using Genetically Encoded Biosensors.
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    Chapter 21 3D In Vitro Model for Breast Cancer Research Using Magnetic Levitation and Bioprinting Method
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    Chapter 22 Methods for Analyzing Tumor Angiogenesis in the Chick Chorioallantoic Membrane Model
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    Chapter 23 Pharmacokinetics and Pharmacodynamics in Breast Cancer Animal Models.
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    Chapter 24 Intracellular Delivery of Fluorescently Labeled Polysaccharide Nanoparticles to Cultured Breast Cancer Cells.
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    Chapter 25 Imaging Matrix Metalloproteinase Activity Implicated in Breast Cancer Progression.
Attention for Chapter 23: Pharmacokinetics and Pharmacodynamics in Breast Cancer Animal Models.
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  • High Attention Score compared to outputs of the same age and source (81st percentile)

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Chapter title
Pharmacokinetics and Pharmacodynamics in Breast Cancer Animal Models.
Chapter number 23
Book title
Breast Cancer
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3444-7_23
Pubmed ID
Book ISBNs
978-1-4939-3442-3, 978-1-4939-3444-7
Authors

Wang, Wei, Nag, Subhasree, Zhang, Ruiwen, Wei Wang, Subhasree Nag, Ruiwen Zhang

Abstract

The study of pharmacokinetics (PK) and pharmacodynamics (PD) in cancer drug discovery and development is often paired and described in reciprocal terms, where PK is the analysis of the change in drug concentration with time and PD is the analysis of the biological effects of the drug at various concentrations over different time courses. While PK is defined by how a compound is absorbed, distributed, metabolized, and eliminated, PD refers to the measure of a compound's ability to interact with its intended target, leading to a biologic effect. Recent advances in anti-breast cancer drug discovery have resulted in several new drugs, but there is still a high attrition rate during clinical development. One reason for this failure is attributed to inappropriate correlation between the PK and PD parameters and subsequent extrapolation to human subjects. In this chapter, we describe the protocols of PK and PD studies in breast cancer models to assess the efficacy of an anti-breast cancer compound, noting the types and endpoints employed, and explain why it is important to link PK and PD in order to establish and evaluate dose/concentration-response relationships and subsequently describe and predict the effect-time courses for a given drug dose.

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

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 18%
Student > Bachelor 2 9%
Researcher 2 9%
Student > Master 2 9%
Professor 1 5%
Other 3 14%
Unknown 8 36%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 4 18%
Biochemistry, Genetics and Molecular Biology 4 18%
Engineering 2 9%
Immunology and Microbiology 2 9%
Agricultural and Biological Sciences 1 5%
Other 2 9%
Unknown 7 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 28 March 2024.
All research outputs
#8,410,476
of 25,738,558 outputs
Outputs from Methods in molecular biology
#2,575
of 14,337 outputs
Outputs of similar age
#123,073
of 401,722 outputs
Outputs of similar age from Methods in molecular biology
#266
of 1,466 outputs
Altmetric has tracked 25,738,558 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 14,337 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 81% 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 401,722 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 1,466 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.