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Current Genomics

Editor-in-Chief

ISSN (Print): 1389-2029
ISSN (Online): 1875-5488

Review Article

MtDNA As a Cancer Marker: A Finally Closed Chapter?

Author(s): Elmar Kirches*

Volume 18, Issue 3, 2017

Page: [255 - 267] Pages: 13

DOI: 10.2174/1389202918666170105093635

Price: $65

Abstract

Sequence alterations of the mitochondrial DNA (mtDNA) have been identified in many tumor types. Their nature is not entirely clear. Somatic mutation or shifts of heteroplasmic mtDNA variants may play a role. These sequence alterations exhibit a sufficient frequency in all tumor types investigated thus far to justify their use as a tumor marker. This statement is supported by the high copy number of mtDNA, which facilitates the detection of aberrant tumor-derived DNA in bodily fluids. This will be of special interest in tumors, which release a relatively high number of cells into bodily fluids, which are easily accessible, most strikingly in urinary bladder carcinoma. Due to the wide distribution of the observed base substitutions, deletions or insertions within the mitochondrial genome, high efforts for whole mtDNA sequencing (16.5 kb) from bodily fluids would be required, if the method would be intended for initial tumor screening. However, the usage of mtDNA for sensitive surveillance of known tumor diseases is a meaningful option, which may allow an improved noninvasive follow-up for the urinary bladder carcinoma, as compared to the currently existing cytological or molecular methods. Following a short general introduction into mtDNA, this review demonstrates that the scenario of a sensitive cancer follow-up by mtDNA-analysis deserves more attention. It would be most important to investigate precisely in the most relevant tumor types, if sequencing approaches in combination with simple PCR-assays for deletions/insertions in homopolymeric tracts has sufficient sensitivity to find most tumor-derived mtDNAs in bodily fluids.

Keywords: Bladder cancer, Cancer risk, Cancer surveillance, Heteroplasmy, MitoChip, mtDNA, NGS.

Graphical Abstract


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