Somatic Mitochondrial DNA Point Mutations Used as Biomarkers to Demonstrate Genomic Heterogeneity in Primary Prostate Cancer.


Journal

Prostate cancer
ISSN: 2090-3111
Titre abrégé: Prostate Cancer
Pays: Egypt
ID NLM: 101567074

Informations de publication

Date de publication:
2020
Historique:
received: 25 05 2020
revised: 03 08 2020
accepted: 13 08 2020
entrez: 10 9 2020
pubmed: 11 9 2020
medline: 11 9 2020
Statut: epublish

Résumé

Primary prostate tumor heterogeneity is poorly understood, leaving research efforts with challenges regarding the initiation and advancement of the disease. The growth of tumor cells is accompanied by mutations in nuclear and in mitochondrial genomes. Thus, mitochondrial DNA mutations may be used as tumor cell markers. By the use of laser capture microdissection coupled with assays for mitochondrial point mutation detection, mtDNA mutations were used to trace mutated cells at a histological level. Point mutations in mtDNA were determined in 12 primary prostate cancers. The tumors represent different pathology-prognostic grade groups. Known mutational hotspots of the mtDNA were scanned for heteroplasmy. All specimens with mtDNA heteroplasmy were subsequently subsampled by laser capture microdissection. From a total number of 1728 microsamples, mitochondrial DNA target sequences were amplified and base substitutions detected by cycling temperature capillary electrophoresis. Real-time PCR was used as a quantitative assay to determine the relative mtDNA copy number of 12 tumors studied, represented by two samples from each (

Identifiants

pubmed: 32908706
doi: 10.1155/2020/7673684
pmc: PMC7474793
doi:

Types de publication

Journal Article

Langues

eng

Pagination

7673684

Informations de copyright

Copyright © 2020 Christian Arstad et al.

Déclaration de conflit d'intérêts

The authors declare that they have no conflicts of interest regarding the publication of this paper.

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Auteurs

Christian Arstad (C)

Department of Tumor Biology, Institute for Cancer Research, The Norwegian Radium Hospital, Oslo University Hospital, Oslo, Norway.

Kristin Taskén (K)

Department of Tumor Biology, Institute for Cancer Research, The Norwegian Radium Hospital, Oslo University Hospital, Oslo, Norway.

Paulo Refinetti (P)

Chaire de Statistique Appliquee, Section de Mathematiques, EPFL, Lausanne, Switzerland.

Ulrika Axcrona (U)

Department of Pathology, The Norwegian Radium Hospital, Oslo University Hospital, Oslo, Norway.

Karl-Erik Giercksky (KE)

Department of Tumor Biology, Institute for Cancer Research, The Norwegian Radium Hospital, Oslo University Hospital, Oslo, Norway.

Per Olaf Ekstrøm (PO)

Department of Tumor Biology, Institute for Cancer Research, The Norwegian Radium Hospital, Oslo University Hospital, Oslo, Norway.

Classifications MeSH