Evidence map›Paper›PMID 32904167›Full record

ReviewReports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology

cfRNAs as biomarkers in oncology - still experimental or applied tool for personalized medicine already?

Tomasz Kolenda, Kacper Guglas, Dawid Baranowski, Joanna Sobocińska, Magda Kopczyńska, Anna Teresiak, Renata Bliźniak, Katarzyna Lamperska

Abstract readReview
In one paragraph

Review in Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
–field-weighted citation impact
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

26 citing papers in PubMed.

  1. Biomedicines · 2026
    Article
  2. Review
  3. Review
  4. Article
  5. Pseudogenes in the carcinogenesis: epithelial-to-mesenchymal transition process and cancer initiating cells.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology · 2025
    Review
  6. Review
  7. Article
  8. Liquid Biopsy in the Clinical Management of Cancers.International journal of molecular sciences · 2024
    Review
  9. Review
  10. Article
  11. Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology · 2024
    Article
  12. The RNA world: from experimental laboratory to "in silico" approach. Part 1: User friendly RNA expression databases portals.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology · 2024
    Review
  13. Current issues in molecular biology · 2023
    Article
  14. Review
  15. Review
  16. miRNA in head and neck squamous cell carcinomas: promising but still distant future of personalized oncology.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology · 2023
    Review
  17. Review
  18. Article
  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

8 authors.

Tomasz KolendaLaboratory of Cancer Genetics, Greater Poland Cancer Centre, Poznan, Poland.
Kacper GuglasLaboratory of Cancer Genetics, Greater Poland Cancer Centre, Poznan, Poland.
Dawid BaranowskiLaboratory of Cancer Genetics, Greater Poland Cancer Centre, Poznan, Poland.
Joanna SobocińskaLaboratory of Cancer Genetics, Greater Poland Cancer Centre, Poznan, Poland.
Magda KopczyńskaLaboratory of Cancer Genetics, Greater Poland Cancer Centre, Poznan, Poland.
Anna TeresiakLaboratory of Cancer Genetics, Greater Poland Cancer Centre, Poznan, Poland.
Renata BliźniakLaboratory of Cancer Genetics, Greater Poland Cancer Centre, Poznan, Poland.
Katarzyna LamperskaLaboratory of Cancer Genetics, Greater Poland Cancer Centre, Poznan, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Currently, the challenges of contemporary oncology are focused mainly on the development of personalized medicine and precise treatment, which could be achieved through the use of molecular biomarkers. One of the biological molecules with great potential are circulating free RNAs (cfRNAs) which are present in various types of body fluids, such as blood, serum, plasma, and saliva. Also, different types of cfRNA particles can be distinguished depending on their length and function: microRNA (miRNA), PIWI-interacting RNA (piRNA), tRNA-derived RNA fragments (tRFs), circular RNA (circRNA), long non-coding RNA (lncRNA), and messenger RNA (mRNA). Moreover, cfRNAs occur in various forms: as a free molecule alone, in membrane vesicles, such as exosomes, or in complexes with proteins and lipids. One of the modern approaches for monitoring patient's condition is a "liquid biopsy" that provides a non-invasive and easily available source of circulating RNAs. Both the presence of specific cfRNA types as well as their concentration are dependent on many factors including cancer type or even reaction to treatment. Despite the possibility of using circulating free RNAs as biomarkers, there is still a lack of validated diagnostic panels, defined protocols for sampling, storing as well as detection methods. In this work we examine different types of cfRNAs, evaluate them as possible biomarkers, and analyze methods of their detection. We believe that further research on cfRNA and defining diagnostic panels could lead to better and faster cancer identification and improve treatment monitoring.

Indexed as

CancerCirculating RNALiquid biopsyMolecular diagnosticsPersonalized medicine

Identifiers

PMID32904167
PMCPMC7451588

What OpenQuestion holds

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Registered trials

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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.