Evidence map›Paper›PMID 29021970›Full record

ArticleBiomolecular detection and quantification2017

Quantification of mitochondrial DNA copy number in suspected cancer patients by a well optimized ddPCR method.

Ashfaque A Memon, Bengt Zöller, Anna Hedelius, Xiao Wang, Emelie Stenman, Jan Sundquist, Kristina Sundquist

Open access · hybridAbstract read
In one paragraph

Article in Biomolecular detection and quantification, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
3.0field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

36 citing papers in PubMed, 88 citations in OpenAlex.

  1. Article
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  4. Cytosine methylase and hydroxymethylase activity in mammalian mitochondria.Frontiers in cell and developmental biology · 2025
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  10. Review
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  12. In utero particulate matter exposure in association with newborn mitochondrial ND4LEnvironmental health : a global access science source · 2022
    Article
  13. Review
  14. Article
  15. Review
  16. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Ashfaque A MemonCenter for Primary Health Care Research, Lund University/Region Skåne, Malmö 20502, Sweden.
Bengt ZöllerCenter for Primary Health Care Research, Lund University/Region Skåne, Malmö 20502, Sweden.
Anna HedeliusCenter for Primary Health Care Research, Lund University/Region Skåne, Malmö 20502, Sweden.
Xiao WangCenter for Primary Health Care Research, Lund University/Region Skåne, Malmö 20502, Sweden.
Emelie StenmanCenter for Primary Health Care Research, Lund University/Region Skåne, Malmö 20502, Sweden.
Jan SundquistCenter for Primary Health Care Research, Lund University/Region Skåne, Malmö 20502, Sweden.
Kristina SundquistCenter for Primary Health Care Research, Lund University/Region Skåne, Malmö 20502, Sweden.
Skåne University Hospital · SELund University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Changes in mitochondrial DNA (mtDNA) content is a useful clinical biomarker for various diseases, however results are controversial as several analytical factors can affect measurement of mtDNA. MtDNA is often quantified by taking ratio between a target mitochondrial gene and a reference nuclear gene (mtDNA/nDNA) using quantitative real time PCR often on two separate experiments. It measures relative levels by using external calibrator which may not be comparable across laboratories. We have developed and optimized a droplet digital PCR (ddPCR) based method for quantification of absolute copy number of both mtDNA and nDNA gene in whole blood. Finally, the role of mtDNA in suspected cancer patients referred to a cancer diagnostic center was investigated. Analytical factors which can result in false quantification of mtDNA have been optimized and both target and reference have been quantified simultaneously with intra- and inter-assay coefficient variances as 3.1% and 4.2% respectively. Quantification of mtDNA show that compared to controls, solid tumors (but not hematologic malignancies) and other diseases had significantly lower copy number of mtDNA. Higher mtDNA (highest quartile) was associated with a significantly lower risk of both solid tumors and other diseases, independent of age and sex. Receiver operating curve demonstrated that mtDNA levels could differentiate controls from patients with solid tumors and other diseases. Quantification of mtDNA by a well optimized ddPCR method showed that its depletion may be a hallmark of general illness and can be used to stratify healthy individuals from patients diagnosed with cancer and other chronic diseases.

Indexed as

BiomarkerCancerddPCRDroplet digital PCRMitochondrial DNAmtDNANuclear DNA

Identifiers

PMID29021970
PMCPMC5634817
OpenAlexW2751416607

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.