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Clinical Applications of PCR

Overview of attention for book
Cover of 'Clinical Applications of PCR'

Table of Contents

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    Book Overview
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    Chapter 1 A Targeted Q-PCR-Based Method for Point Mutation Testing by Analyzing Circulating DNA for Cancer Management Care.
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    Chapter 2 COLD-PCR: Applications and Advantages
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    Chapter 3 PCR-Based Detection of DNA Copy Number Variation.
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    Chapter 4 Emulsion PCR: Techniques and Applications
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    Chapter 5 Digital PCR: Principles and Applications
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    Chapter 6 Quantitative PCR for Plasma Epstein-Barr Virus Loads in Cancer Diagnostics
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    Chapter 7 High-Resolution Melt Curve Analysis in Cancer Mutation Screen
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    Chapter 8 Locked Nucleic Acid Probes (LNA) for Enhanced Detection of Low-Level, Clinically Significant Mutations
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    Chapter 9 Genotyping of Frequent Mutations in Solid Tumors by PCR-Based Single-Base Extension and MassARRAY Analysis
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    Chapter 10 Microfluidics-Based PCR for Fusion Transcript Detection.
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    Chapter 11 Polymerase Chain Reaction Diagnosis of Leishmaniasis: A Species-Specific Approach
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    Chapter 12 Detection of Trypanosoma cruzi by Polymerase Chain Reaction
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    Chapter 13 PCR Techniques in Next-Generation Sequencing.
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    Chapter 14 Single-Cell Quantitative PCR: Advances and Potential in Cancer Diagnostics
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    Chapter 15 Quantitative Real-Time PCR: Recent Advances
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    Chapter 16 PCR Techniques in Characterizing DNA Methylation.
Attention for Chapter 1: A Targeted Q-PCR-Based Method for Point Mutation Testing by Analyzing Circulating DNA for Cancer Management Care.
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

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3 X users
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5 patents
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1 Wikipedia page

Citations

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Chapter title
A Targeted Q-PCR-Based Method for Point Mutation Testing by Analyzing Circulating DNA for Cancer Management Care.
Chapter number 1
Book title
Clinical Applications of PCR
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3360-0_1
Pubmed ID
Book ISBNs
978-1-4939-3358-7, 978-1-4939-3360-0
Authors

Thierry, Alain R, Alain R. Thierry, Thierry, Alain R.

Editors

Rajyalakshmi Luthra, Rajesh R. Singh, Keyur P. Patel

Abstract

Circulating cell-free DNA (cfDNA) is a valuable source of tumor material available with a simple blood sampling enabling a noninvasive quantitative and qualitative analysis of the tumor genome. cfDNA is released by tumor cells and exhibits the genetic and epigenetic alterations of the tumor of origin. Circulating cell-free DNA (cfDNA) analysis constitutes a hopeful approach to provide a noninvasive tumor molecular test for cancer patients. Based upon basic research on the origin and structure of cfDNA, new information on circulating cell-free DNA (cfDNA) structure, and specific determination of cfDNA fragmentation and size, we revisited Q-PCR-based method and recently developed a the allele-specific-Q-PCR-based method with blocker (termed as Intplex) which is the first multiplexed test for cfDNA. This technique, named Intplex(®) and based on a refined Q-PCR method, derived from critical observations made on the specific structure and size of cfDNA. It enables the simultaneous determination of five parameters: the cfDNA total concentration, the presence of a previously known point mutation, the mutant (tumor) cfDNA concentration (ctDNA), the proportion of mutant cfDNA, and the cfDNA fragmentation index. Intplex(®) has enabled the first clinical validation of ctDNA analysis in oncology by detecting KRAS and BRAF point mutations in mCRC patients and has demonstrated that a blood test could replace tumor section analysis for the detection of KRAS and BRAF mutations. The Intplex(®) test can be adapted to all mutations, genes, or cancers and enables rapid, highly sensitive, cost-effective, and repetitive analysis. As regards to the determination of mutations on cfDNA Intplex(®) is limited to the mutational status of known hotspot mutation; it is a "targeted approach." However, it offers the opportunity in detecting quantitatively and dynamically mutation and could constitute a noninvasive attractive tool potentially allowing diagnosis, prognosis, theranostics, therapeutic monitoring, and follow-up of cancer patients expanding the scope of personalized cancer medicine.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Ireland 1 3%
Unknown 36 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 21%
Student > Ph. D. Student 4 11%
Student > Master 3 8%
Student > Doctoral Student 2 5%
Student > Bachelor 2 5%
Other 6 16%
Unknown 13 34%
Readers by discipline Count As %
Medicine and Dentistry 10 26%
Biochemistry, Genetics and Molecular Biology 7 18%
Agricultural and Biological Sciences 6 16%
Nursing and Health Professions 1 3%
Engineering 1 3%
Other 0 0%
Unknown 13 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 02 April 2024.
All research outputs
#3,080,410
of 25,081,505 outputs
Outputs from Methods in molecular biology
#585
of 14,102 outputs
Outputs of similar age
#50,544
of 405,376 outputs
Outputs of similar age from Methods in molecular biology
#94
of 1,463 outputs
Altmetric has tracked 25,081,505 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,102 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 95% 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 405,376 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 1,463 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.