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Colorectal Cancer

Overview of attention for book
Cover of 'Colorectal Cancer'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Cell Line Models of Molecular Subtypes of Colorectal Cancer
  3. Altmetric Badge
    Chapter 2 Dissecting Oncogenic RTK Pathways in Colorectal Cancer Initiation and Progression
  4. Altmetric Badge
    Chapter 3 Identification of Response Elements on Promoters Using Site-Directed Mutagenesis and Chromatin Immunoprecipitation
  5. Altmetric Badge
    Chapter 4 Identification and Functional Analysis of Gene Regulatory Sequences Interacting with Colorectal Tumor Suppressors
  6. Altmetric Badge
    Chapter 5 Methods for In Vivo Functional Studies of Chromatin-Modifying Enzymes in Early Steps of Colon Carcinogenesis
  7. Altmetric Badge
    Chapter 6 The Colorectal Cancer Microenvironment: Strategies for Studying the Role of Cancer-Associated Fibroblasts
  8. Altmetric Badge
    Chapter 7 Methods for Assessing Apoptosis and Anoikis in Normal Intestine/Colon and Colorectal Cancer
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    Chapter 8 Molecular Analysis of the Microbiome in Colorectal Cancer
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    Chapter 9 Proteomics Analysis of Colorectal Cancer Cells
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    Chapter 10 Autophagic Flux Assessment in Colorectal Cancer Cells
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    Chapter 11 Classification of Colorectal Cancer in Molecular Subtypes by Immunohistochemistry
  13. Altmetric Badge
    Chapter 12 Stool DNA Integrity Method for Colorectal Cancer Detection
  14. Altmetric Badge
    Chapter 13 RT-qPCR for Fecal Mature MicroRNA Quantification and Validation
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    Chapter 14 A Stool Multitarget mRNA Assay for the Detection of Colorectal Neoplasms
  16. Altmetric Badge
    Chapter 15 Colorectal Cancer Detection Using Targeted LC-MS Metabolic Profiling
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    Chapter 16 Proteomic Profiling for Colorectal Cancer Biomarker Discovery
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    Chapter 17 Tumor-Derived Microparticles to Monitor Colorectal Cancer Evolution
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    Chapter 18 Molecular Testing for the Treatment of Advanced Colorectal Cancer: An Overview
  20. Altmetric Badge
    Chapter 19 Testing Cell-Based Immunotherapy for Colorectal Cancer
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    Chapter 20 Patient-Derived Xenograft Models of Colorectal Cancer: Procedures for Engraftment and Propagation
  22. Altmetric Badge
    Chapter 21 Use of Organoids to Characterize Signaling Pathways in Cancer Initiation
  23. Altmetric Badge
    Chapter 22 Identification of Novel Molecules Targeting Cancer Stem Cells
Attention for Chapter 13: RT-qPCR for Fecal Mature MicroRNA Quantification and Validation
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Chapter title
RT-qPCR for Fecal Mature MicroRNA Quantification and Validation
Chapter number 13
Book title
Colorectal Cancer
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7765-9_13
Pubmed ID
Book ISBNs
978-1-4939-7764-2, 978-1-4939-7765-9
Authors

Farid E. Ahmed, Nancy C. Ahmed, Mostafa M. Gouda, Paul W. Vos, Chris Bonnerup

Abstract

By routinely and systematically being able to perform quantitative stem-loop reverse transcriptase (RT) followed by TaqMan® minor-groove binding (MGB) probe, real-time quantitative PCR analysis on exfoliated enriched colonocytes in stool, using human (Homo sapiens, hsa) micro(mi)RNAs to monitor changes of their expression at various stages of colorectal (CRC) progression, this method allows for the reliable and quantitative diagnostic screening of colon cancer (CC). Although the expression of some miRNA genes tested in tissue shows less variability in normal or cancerous patients than in stool, the noninvasive stool by itself is well suited for CC screening. An miRNA approach using stool promises to offer more sensitivity and specificity than currently used genomic, methylomic, or proteomic methods for CC screening.To present an application of employing miRNAs as diagnostic markers for CC screening, we carried out global microarray expression studies on stool colonocytes isolated by paramagnetic beads, using Affymetrix GeneChip miRNA 3.0 Array, to select a panel of miRNAs for subsequent focused semiquantitative PCR analysis studies. We then conducted a stem-loop RT-TaqMan® MGB probes, followed by a modified real-time qPCR expression study on 20 selected miRNAs for subsequent validation of the extracted immunocaptured total small RNA isolated from stool colonocytes. Results showed 12 miRNAs (miR-7, miR-17, miR-20a, miR-21, miR-92a, miR-96, miR-106a, miR-134, miR-183, miR-196a, miR-199a-3p, and miR214) to have an increased expression in stool of CC patients, and that later TNM stages exhibited more increased expressions than adenomas, while 8 miRNAs (miR-9, miR-29b, miR-127-5p, miR-138, miR-143, miR-146a, miR-222, and miR-938) showed decreased expressions in stool of CC patients, which becomes more pronounced as the cancer progresses from early to late TNM stages (0-IV).

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

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 21%
Student > Bachelor 6 14%
Student > Master 5 12%
Unspecified 5 12%
Lecturer 2 5%
Other 5 12%
Unknown 11 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 21%
Unspecified 5 12%
Medicine and Dentistry 3 7%
Engineering 3 7%
Agricultural and Biological Sciences 2 5%
Other 7 16%
Unknown 14 33%
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 30 March 2018.
All research outputs
#15,498,204
of 23,031,582 outputs
Outputs from Methods in molecular biology
#5,391
of 13,177 outputs
Outputs of similar age
#269,827
of 442,391 outputs
Outputs of similar age from Methods in molecular biology
#596
of 1,499 outputs
Altmetric has tracked 23,031,582 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 13,177 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 442,391 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,499 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.