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Cancer Chemoprevention

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Cover of 'Cancer Chemoprevention'

Table of Contents

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    Book Overview
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    Chapter 1 Controlled Delivery of Chemopreventive Agents by Polymeric Implants
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    Chapter 2 Use of Buffy Coat miRNA Profiling for Breast Cancer Prediction in Healthy Women.
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    Chapter 3 microRNAs in Cancer Chemoprevention: Method to Isolate Them from Fresh Tissues.
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    Chapter 4 Application of RNA-Seq Technology in Cancer Chemoprevention.
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    Chapter 5 Detection of Circulating Tumor DNA in the Blood of Cancer Patients: An Important Tool in Cancer Chemoprevention.
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    Chapter 6 The Methylated DNA Immunoprecipitation [MeDIP] to Investigate the Epigenetic Remodeling in Cell Fate Determination and Cancer Development.
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    Chapter 7 LC-MS-Based Metabolomic Investigation of Chemopreventive Phytochemical-Elicited Metabolic Events
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    Chapter 8 1 H NMR Metabolomic Footprinting Analysis for the In Vitro Screening of Potential Chemopreventive Agents
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    Chapter 9 Comet Assay in Cancer Chemoprevention
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    Chapter 10 Angiogenesis Assays
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    Chapter 11 AlgiMatrix™-Based 3D Cell Culture System as an In Vitro Tumor Model: An Important Tool in Cancer Research
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    Chapter 12 Cancer Gastric Chemoprevention: Isolation of Gastric Tumor-Initiating Cells
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    Chapter 13 Isolation of Chemoresistant Cell Subpopulations.
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    Chapter 14 Autophagy in Cancer Chemoprevention: Identification of Novel Autophagy Modulators with Anticancer Potential
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    Chapter 15 Protocol for a Steady-State FRET Assay in Cancer Chemoprevention
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    Chapter 16 3D Tumor Models and Time-Lapse Analysis by Multidimensional Microscopy
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    Chapter 17 Antibody Array as a Tool for Screening of Natural Agents in Cancer Chemoprevention
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    Chapter 18 South African Herbal Extracts as Potential Chemopreventive Agents: Screening for Anticancer Splicing Activity
  20. Altmetric Badge
    Chapter 19 Erratum to: South African Herbal Extracts as Potential Chemopreventive Agents: Screening for Anticancer Splicing Activity
Attention for Chapter 11: AlgiMatrix™-Based 3D Cell Culture System as an In Vitro Tumor Model: An Important Tool in Cancer Research
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Chapter title
AlgiMatrix™-Based 3D Cell Culture System as an In Vitro Tumor Model: An Important Tool in Cancer Research
Chapter number 11
Book title
Cancer Chemoprevention
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3191-0_11
Pubmed ID
Book ISBNs
978-1-4939-3190-3, 978-1-4939-3191-0
Authors

Chandraiah Godugu, Mandip Singh, Godugu, Chandraiah, Singh, Mandip

Abstract

Routinely used two-dimensional cell culture-based models often fail while translating the observations into in vivo models. This setback is more common in cancer research, due to several reasons. The extracellular matrix and cell-to-cell interactions are not present in two-dimensional (2D) cell culture models. Diffusion of drug molecules into cancer cells is hindered by barriers of extracellular components in in vivo conditions, these barriers are absent in 2D cell culture models. To better mimic or simulate the in vivo conditions present in tumors, the current study used the alginate based three-dimensional cell culture (AlgiMatrix™) model, which resembles close to the in vivo tumor models. The current study explains the detailed protocols involved in AlgiMatrix™ based in vitro non-small-cell lung cancer (NSCLC) models.The suitability of this model was studied by evaluating, cytotoxicity, apoptosis, and penetration of nanoparticles into the in vitro tumor spheroids. This study also demonstrated the effect of EphA2 receptor targeted docetaxel-loaded nanoparticles on MDA-MB-468 TNBC cell lines. The methods section is subdivided into three subsections such as (1) preparation of AlgiMatrix™-based 3D in vitro tumor models and cytotoxicity assays, (2) free drug and nanoparticle uptake into spheroid studies, and (3) western blot, IHC, and RT-PCR studies.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 18%
Researcher 4 11%
Student > Doctoral Student 3 8%
Other 3 8%
Student > Postgraduate 3 8%
Other 8 21%
Unknown 10 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 21%
Medicine and Dentistry 5 13%
Pharmacology, Toxicology and Pharmaceutical Science 4 11%
Engineering 3 8%
Immunology and Microbiology 2 5%
Other 5 13%
Unknown 11 29%