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Rapid detection of allelic losses in brain tumours using microsatellite repeat markers and high-performance liquid chromatography

  • O. B. Chernova
    ,
  • G. H. Barnett
    ,
  • J. K. Cowell(corresponding author)
*Corresponding author for this work
  • Cleveland Clinic Foundation
    ,
  • Roswell Park Cancer Institute
Scholary Output:
Contribution to journal
Article
Peer-review

Open access

Sustainable Development Goals

  • SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well

Abstract

High-performance liquid chromatography (HPLC) is a recently introduced high-capacity automated method for detecting unknown mutations (denaturing HPLC) or for sizing DNA fragments under nondenaturing conditions. We have adapted the HPLC method for detection of loss of heterozygosity (LOH) and used glial tumours as a model to evaluate its sensitivity and specificity in comparison to conventional denaturing polyacrylamide gel electrophoresis. A total of 20 oligodendrogliomas (grades II and III), and five astrocytic tumours (grades III and IV) were analysed using 14 polymorphic microsatellite markers mapping to regions on chromosomes 1p, 19q, and 10q using both DNA-HPLC and denaturing gel electrophoresis. This study demonstrated complete concordance between both methods. However, unlike gel electrophoresis, HPLC is automated, does not require post-PCR processing, and does not require hazardous radioactive or expensive fluorescent labelling. Our data suggest that HPLC is a reliable and sensitive method for detection of allelic losses in tumour samples and it is a favourable alternative for high-sensitivity LOH detection in both research and diagnostic environments.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Peer-review

Original language

English (US)

Pages from-to (Number of pages)

Pages 1889-1893 (5 pages)

Journal (Volume, Issue Number)

British Journal of Cancer (Volume 88, Issue 12)

Publication milestones

  • Published - 06/16/2003

Publication status

Published - 06/16/2003

ISSN

0007-0920

Publication IDs

  • Scopus: 0038236002
  • PubMed: 12799632

Publication metrics

Metrics

Scopus
citations
SciVal
citations
8
Fractional count
1
Fractional count
0.33
Fractional count
2
Fractional count
0.67
Fractional count
1
Fractional count
1
SciVal
FWCI
0.08
SciVal
Author count
3
SciVal
Paper percentile
54

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Citation count
10
Captures
5