Evidence map›Paper›PMID 31191602›Full record

ArticleFrontiers in genetics2019

Quantitative PCR Measurement of miR-371a-3p and miR-372-p Is Influenced by Hemolysis.

Mette Pernille Myklebust, Benedikte Rosenlund, Peder Gjengstø, Bogdan Stefan Bercea, Ása Karlsdottir, Marianne Brydøy, Olav Dahl

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

30 citing papers in PubMed, 41 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Influence of hemolysis, lipemia and bilirubin on biobank sample quality- origin and interference in the use for extracellular vesicle (EV) and MiRNA analyses.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2025
    Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. Detection of Recurrence through microRNA-371a-3p Serum Levels in a Follow-up of Stage I Testicular Germ Cell Tumors in the DRKS-00019223 Study.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024
    Article
  11. Review
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Review
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.

Mette Pernille MyklebustDepartment of Oncology and Medical Physics, Haukeland University Hospital, Bergen, Norway.
Benedikte RosenlundDepartment of Oncology and Medical Physics, Haukeland University Hospital, Bergen, Norway.
Peder GjengstøDepartment of Urology, Haukeland University Hospital, Bergen, Norway.
Bogdan Stefan BerceaDepartment of Urology, Helse Fonna, Haugesund, Norway.
Ása KarlsdottirDepartment of Oncology and Medical Physics, Haukeland University Hospital, Bergen, Norway.
Marianne BrydøyDepartment of Oncology and Medical Physics, Haukeland University Hospital, Bergen, Norway.
Olav DahlDepartment of Oncology and Medical Physics, Haukeland University Hospital, Bergen, Norway.
Haukeland University Hospital · NOFonna Hospital Trust

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell-free microRNAs have been reported as biomarkers for several diseases. For testicular germ cell tumors (GCT), circulating microRNAs 371a-3p and 372-3p in serum and plasma have been proposed as biomarkers for diagnostic and disease monitoring purposes. The most widely used method for quantification of specific microRNAs in serum and plasma is reverse transcriptase real-time quantitative PCR (RT-qPCR) by the comparative Ct-method. In this method one or several reference genes or reference microRNAs are needed in order to normalize and calculate the relative microRNA levels across samples. One of the pitfalls in analysis of microRNAs from serum and plasma is the release of microRNAs from blood cells during hemolysis. This is an important issue because varying degrees of hemolysis are not uncommon in routine blood sampling. Thus, hemolysis must be taken into consideration when working with circulating microRNAs from blood. miR-93-5p, miR-30b-5p, and miR-20a-5p have been reported as reference microRNA in analysis of the miR-371a-373 cluster. We here show how these three microRNAs are influenced by hemolysis. We also propose a new reference microRNA, miR-191-5p, which is relatively stable in serum samples with mild hemolysis. In addition, we show how hemolysis can have effect on the reported microRNA levels in patient samples when these reference microRNAs are used in samples with varying levels of hemolysis.

Indexed as

circulating microRNAhemolysisquality controlRT-qPCRserumtesticular cancer

Identifiers

PMID31191602
PMCPMC6539204
OpenAlexW2946597976

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.