Skip to main content

Main menu

  • Home
  • Content
    • Current
    • Ahead of print
    • Archive
  • Info for
    • Authors
    • Reviewers
  • About Us
    • About Us
    • Conflict of Interest
    • Informed Consent
    • Human and Animal Rights
  • More
    • Alerts
    • Feedback
    • Folders
  • ascls.org
    • ascls.org

User menu

  • My alerts
  • Log in
  • My Cart

Search

  • Advanced search
American Society for Clinical Laboratory Science
  • ascls.org
    • ascls.org
  • My alerts
  • Log in
  • My Cart
American Society for Clinical Laboratory Science

Advanced Search

  • Home
  • Content
    • Current
    • Ahead of print
    • Archive
  • Info for
    • Authors
    • Reviewers
  • About Us
    • About Us
    • Conflict of Interest
    • Informed Consent
    • Human and Animal Rights
  • More
    • Alerts
    • Feedback
    • Folders
  • Follow ASCLS on Twitter
  • Visit ASCLS on Facebook
  • Follow ASCLS on Instagram
  • RSS Feed
Research ArticleResearch and Reports

Influences of Patient Characteristics on the Predictive Value of Molecular Biomarkers of Colon Cancer in Tubular Adenomas

Stephanie Sutherland, Alice Jiang, Joshua Melson and Lela Buckingham
American Society for Clinical Laboratory Science April 2022, 35 (2) 20-28; DOI: https://doi.org/10.29074/ascls.2020002790
Stephanie Sutherland
Rush University
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Alice Jiang
Rush University Medical Center
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Joshua Melson
Rush University Medical Center
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Lela Buckingham
Rush University
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • Info & Metrics
  • PDF
Loading

Article Figures & Data

Figures

  • Tables
  • Figure 1.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 1.

    Median of LINE-1 methylation levels of each independent risk group (no secondary average = 64.8%, secondary index = 75.8%, secondary lesion = 68.9%). LINE-1 methylation levels were significantly lower in index polyps without (left) vs index lesion with (center) secondary lesions (P < .001). Paired-sample analysis of secondary index and secondary lesion samples displayed significant LINE-1 hypomethylation in the secondary lesion samples (z = −2.009, P = .045).

  • Figure 2.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 2.

    Total number of participants in each group (with or without secondary lesions) by age (<60 years, and 60 years and older). The group with secondary lesions contained a statistically older patient population (Chi-Square P = .019).

  • Figure 3.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 3.

    (A) Regression analysis of age vs LINE-1 methylation. (B) Methylation of LINE-1 with dichotomized age (Mann-Whitney U Test, P = 0.085). Under 60 median methylation = 55%, 60 and over median methylation = 62%.

  • Figure 4.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 4.

    (A) Smaller polyps were found more frequently in the 60 and over group (Chi-Square P = 0.008). (B) Median LINE-1 promoter methylation compared to polyp size (P = 0.014). Under 5 mm: median methylation = 72%, 6 mm and over: median methylation = 67%.

Tables

  • Figures
    • View popup
    Table 1.

    Demographics vs absence (No) and presence (Yes) of secondary lesions

    DescriptorTotalNoYes
    n = 65n = 35n = 30
    Sex
     Male372116
     Female281414
    Race
     African American281414
     Caucasian271314
     Other1082
    Smoking history
     Yes421211
     No232319
    Agea (range)
     <60 years (44–59)25187
     ≥60 years (60–85)401723
    Polyp location
     Distal24159
     Proximal381820
     Mixed321
    Polyp sizeb
     <5 mm321122
     6–9 mm24186
     Mixed962
    • ↵a There was a significantly older patient population in the group with secondary lesions (P = .019).

    • ↵b There were significantly more smaller polyps in the group with secondary lesions (P = .002).

    • View popup
    Table 2.

    Mutations detected by TST15 tumor panel sequencing


    NGS True Sight
    15 Tumor
    (TST 15)
    Panel
    Index Polyps


    Secondary Lesions
    Without Secondary LesionsaWith Secondary Lesionsb
    No mutations found798
    Mutations found356
    Total (% with mutations)10 (30%)14 (36%)14 (43%)
    • ↵a Mutations in polyps without secondary lesions: BRAF (n = 1) and TP53 (n = 2).

    • ↵b Mutations in polyps with secondary lesions: BRAF (n = 1), KRAS (n = 1), and TP53 (n = 3).

    • View popup
    Table 3.

    Demographics and percent LINE-1 methylation


    Descriptor
    Number of
    Cases n = 65
    LINE-1 CpG
    Site 1
    LINE-1 CpG
    Site 2
    LINE-1 CpG
    Site 3
    LINE-1
    Average
    Age (range)
     <60 years (44–59)2592.855.455.967.6
     ≥60 years (60–85)4093.559.160.671.1
    P = .707P = .149P = .016P = .105
    Gender
     Female3793.857.957.969.8
     Male2892.558.059.570.0
    P = .489P = .943P = .422P = .923
    Race
     African American2894.659.859.771.4
     Caucasian2792.857.859.570.0
     Othera1089.251.054.464.9
    P = .330P = .322P = .931P = .451
    Smoking history
     Yes2392.257.458.569.4
     No4293.858.258.770.2
    P = .563P = .745P = .963P = .726
    Polyp location
     Distal2491.456.557.668.5
     Proximal3894.859.159.471.1
     Mixedb386.053.356.765.3
    P = .064P = .157P = .400P = .121
    Polyp size
     ≤5 mm3294.359.660.371.4
     6–9 mm2491.355.055.767.3
     Mixedb991.355.858.468.5
    P = .127P = .013P = .020P = .014
    Metachronous tumors
     No3589.252.652.764.8
     Yes3097.964.165.575.8
    P < .001P < .001P < .001P < .001
    • ↵a Other included 3 Asian, 6 Hispanic, and 1 unknown.

    • ↵b Cases in which multiple polyps were found that included both categories of size or location were excluded.

PreviousNext
Back to top

In this issue

American Society for Clinical Laboratory Science: 35 (2)
American Society for Clinical Laboratory Science
Vol. 35, Issue 2
1 Apr 2022
  • Table of Contents
  • Index by author
Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word on American Society for Clinical Laboratory Science.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Influences of Patient Characteristics on the Predictive Value of Molecular Biomarkers of Colon Cancer in Tubular Adenomas
(Your Name) has sent you a message from American Society for Clinical Laboratory Science
(Your Name) thought you would like to see the American Society for Clinical Laboratory Science web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Citation Tools
Influences of Patient Characteristics on the Predictive Value of Molecular Biomarkers of Colon Cancer in Tubular Adenomas
Stephanie Sutherland, Alice Jiang, Joshua Melson, Lela Buckingham
American Society for Clinical Laboratory Science Apr 2022, 35 (2) 20-28; DOI: 10.29074/ascls.2020002790

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Request Permissions
Share
Influences of Patient Characteristics on the Predictive Value of Molecular Biomarkers of Colon Cancer in Tubular Adenomas
Stephanie Sutherland, Alice Jiang, Joshua Melson, Lela Buckingham
American Society for Clinical Laboratory Science Apr 2022, 35 (2) 20-28; DOI: 10.29074/ascls.2020002790
Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • ABSTRACT
    • INTRODUCTION
    • METHODS
    • RESULTS
    • DISCUSSION
    • CONCLUSION
    • FINANCIAL INTEREST
    • REFERENCES
  • Figures & Data
  • Info & Metrics
  • PDF

Related Articles

  • No related articles found.
  • Google Scholar

Cited By...

  • No citing articles found.
  • Google Scholar

More in this TOC Section

  • Barriers to Implementation of Quality Management Systems in Laboratories: Lessons from the Southern Africa TB Health Systems Project
  • Polyagglutination: Lectin Isolation for T-Activated Red Cells
  • Strength of Direct Antiglobulin Test as an Indicator of Disease Severity in Autoimmune Hemolytic Anemia
Show more Research and Reports

Similar Articles

Keywords

  • Molecular Biology
  • Education

© 2025 The American Society for Clinical Laboratory Science

Powered by HighWire