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Mitochondrial genome deletion aids in the identification of false- and true-negative prostate needle core biopsy specimens

  • Jennifer Maki
  • , Kerry Robinson
  • , Brian Reguly
  • , Jude Alexander
  • , Roy Wittock
  • , Andrea Aguirre
  • , Eleftherios P. Diamandis
  • , Nicholas Escott
  • , Anthony Skehan
  • , Owen Prowse
  • , Robert E. Thayer
  • , M. Kent Froberg
  • , Michael J Wilson
  • , Samantha Maragh
  • , John P. Jakupciak
  • , Paul D. Wagner
  • , Sudhir Srivastava
  • , Gabriel D. Dakubo
  • , Ryan L. Parr

Research output: Contribution to journalArticlepeer-review

Abstract

We report the usefulness of a 3.4-kb mitochondrial genome deletion (3.4mtδ) for molecular definition of benign, malignant, and proximal to malignant (PTM) prostate needle biopsy specimens. The 3.4mtδwas identified through long-extension polymerase chain reaction (PCR) analysis of frozen prostate cancer samples. A quantitative PCR assay was developed to measure the levels of the 3.4mtδin clinical samples. For normalization, amplifications of a nuclear target and total mitochondrial DNA were included. Cycle threshold data from these targets were used to calculate a score for each biopsy sample. In a pilot study of 38 benign, 29 malignant, and 41 PTM biopsy specimens, the difference between benign and malignant core biopsy specimens was well differentiated (P < .0001), with PTM indistinguishable from malignant samples (P = .833). Results of a larger study were identical. In comparison with histopathologic examination for benign and malignant samples, the sensitivity and specificity were 80% and 71%, respectively, and the area under a receiver operating characteristic (ROC) curve was 0.83 for the deletion. In a blinded external validation study, the sensitivity and specificity were 83% and 79%, and the area under the ROC curve was 0.87. The 3.4mtδmay be useful in defining malignant, benign, and PTM prostate tissues.

Original languageEnglish (US)
Pages (from-to)57-66
Number of pages10
JournalAmerican journal of clinical pathology
Volume129
Issue number1
DOIs
StatePublished - Jan 2008

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • False-negative biopsy result
  • Field cancerization
  • MtDNA deletion
  • Prostate biopsy
  • Sensitivity
  • Specificity

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