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Cancer Cell Signaling

Overview of attention for book
Cover of 'Cancer Cell Signaling'

Table of Contents

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    Book Overview
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    Chapter 1 Use of biguanides to improve response to chemotherapy.
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    Chapter 2 Evaluating Response to Metformin/Cisplatin Combination in Cancer Cells via Metabolic Measurement and Clonogenic Survival
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    Chapter 3 Quantifying the Autophagy-Triggering Effects of Drugs in Cell Spheroids with Live Fluorescence Microscopy
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    Chapter 4 Interdependency Between Genetic and Epigenetic Regulatory Defects in Cancer
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    Chapter 5 Experimental Strategies to Manipulate the Cellular Levels of the Multifunctional Factor CTCF.
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    Chapter 6 Use of Serum-Circulating miRNA Profiling for the Identification of Breast Cancer Biomarkers
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    Chapter 7 Prostate Cancer Detection Using a Noninvasive Method for Quantifying miRNAs
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    Chapter 8 DNA Methylation Analysis of Steroid Hormone Receptor Genes
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    Chapter 9 Control of Oncogenic miRNA Function by Light-Activated miRNA Antagomirs
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    Chapter 10 Methods for the Study of Long Noncoding RNA in Cancer Cell Signaling
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    Chapter 11 Microvesicles as Mediators of Intercellular Communication in Cancer
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    Chapter 12 In Vivo Rat Model to Study Horizontal Tumor Progression
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    Chapter 13 An In Vivo Model to Study the Effects of Tumoral Soluble Factors on the Vascular Permeability in Mice
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    Chapter 14 Use of the Tumor Repressor DEDD as a Prognostic Marker of Cancer Metastasis.
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    Chapter 15 Zebrafish-Based Systems Pharmacology of Cancer Metastasis
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    Chapter 16 A Flow Cytometry-Based Assay for the Evaluation of Antibody-Dependent Cell-Mediated Cytotoxicity (ADCC) in Cancer Cells.
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    Chapter 17 Gene Disruption Using Zinc Finger Nuclease Technology
Attention for Chapter 14: Use of the Tumor Repressor DEDD as a Prognostic Marker of Cancer Metastasis.
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Chapter title
Use of the Tumor Repressor DEDD as a Prognostic Marker of Cancer Metastasis.
Chapter number 14
Book title
Cancer Cell Signaling
Published in
Methods in molecular biology, January 2014
DOI 10.1007/978-1-4939-0856-1_14
Pubmed ID
24839027
Book ISBNs
978-1-4939-0855-4, 978-1-4939-0856-1
Authors

Qi Lv, Fang Hua, Zhuo-Wei Hu, Lv, Qi, Hua, Fang, Hu, Zhuo-Wei

Abstract

DEDD, a member of a family of death effector domain-containing proteins, plays crucial roles in mediating apoptosis, regulating cell cycle, and inhibiting cell mitosis. Our recent work demonstrates that DEDD is a novel tumor repressor, which impedes metastasis by reversing the epithelial-mesenchymal transition (EMT) process in breast and colon cancers. DEDD expression therefore may represent a prognostic marker and potential therapeutic target for the prevention and treatment of cancer metastasis. To reveal the anti-metastatic roles of DEDD in these cancer cells, a number of experiments, including immunohistochemistry, the establishment of stably overexpressing or silencing cancer cells, chemoinvasion assay, soft agar assay, protein degradation, and protein-protein interaction were used in our in vitro and in vivo studies. This chapter focuses on the details of these experiments to provide references for the researchers to investigate the function of a gene in the regulation of tumor metastasis.

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

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 20%
Student > Ph. D. Student 1 20%
Student > Bachelor 1 20%
Unknown 2 40%
Readers by discipline Count As %
Medicine and Dentistry 2 40%
Unspecified 1 20%
Unknown 2 40%
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 20 May 2014.
All research outputs
#20,230,558
of 22,756,196 outputs
Outputs from Methods in molecular biology
#9,863
of 13,089 outputs
Outputs of similar age
#264,791
of 305,249 outputs
Outputs of similar age from Methods in molecular biology
#405
of 597 outputs
Altmetric has tracked 22,756,196 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 13,089 research outputs from this source. They receive a mean Attention Score of 3.3. 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 305,249 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 597 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.

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