Evidence map›Paper›PMID 33988168›Full record

ArticleActa bio-medica : Atenei Parmensis2021

MicroRNAs as biomarkers for breast cancer.

Duran Canatan, Yonca Sönmez, Özlem Yılmaz, Abdullah Çim, Hasan Şenol Coşkun, Sema Sezgin Göksu, Selda Ucar, Mehmet Rıfkı Aktekin

Abstract read
In one paragraph

Article in Acta bio-medica : Atenei Parmensis, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
–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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. The importance microRNAs as a biomarker in lung cancer.Acta bio-medica : Atenei Parmensis · 2023
    Pooled it
  3. MicroRNAs as Biomarkers of Cervical Cancers.International journal of molecular sciences · 2026
    Review
  4. microRNAs as Biomarkers of Breast Cancer.International journal of molecular sciences · 2025
    Review
  5. Article
  6. Review
  7. Review
  8. Observational
  9. Article
  10. G2/M Checkpoint Modulation: Insights from miRNA Profiles in FAM and Breast Cancer.Asian Pacific journal of cancer prevention : APJCP · 2024
    Article
  11. Review
  12. miR 31-3p Has the Highest Expression in Cesarean Scar Endometriosis.International journal of molecular sciences · 2022
    Article
  13. Article
  14. 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.

Duran CanatanAntalya Genetic Diseases Diagnosis Center - Antalya- Turkey. durancanatan@gmail.com.
Yonca SönmezAkdeniz University, Faculty of Medicine, Department of Public Health - Antalya- Turkey. yoncasonmez@yahoo.com.
Özlem YılmazAntalya Genetic Diseases Diagnosis Center - Antalya- Turkey. yilmazozle@gmail.com.
Abdullah ÇimAntalya Genetic Diseases Diagnosis Center - Antalya- Turkey. drabdullahcim@yahoo.com.
Hasan Şenol CoşkunAkdeniz University, Faculty of Medicine, Department of Medical Oncology- Antalya- Turkey. hs.coskun@yahoo.com.
Sema Sezgin GöksuAkdeniz University, Faculty of Medicine, Department of Medical Oncology- Antalya- Turkey. semasezgingoksu@gmail.com.
Selda UcarAkdeniz University, Faculty of Medicine, Department of Medical Oncology- Antalya- Turkey. seldacakal@gmail.com.
Mehmet Rıfkı AktekinAkdeniz University, Faculty of Medicine, Department of Public Health - Antalya- Turkey. mehmetaktekin1@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is the most common type of cancer among women and the most frequent cause of death due to cancer among women. The lack of standard biomarkers in the early diagnosis of breast cancer, microRNAs (miRNA) have been of interest recently. Although, miRNAs are 19-24 nucleotide-long non-coding RNA species, they have crucial roles in many areas from organogenesis to carcinogenesis. This study has been conducted to investigate miR 21, miR 27b, miR 125a, miR 155, miR 200c, miR 335 miR373 as biomarkers in the early diagnosis of breast cancer; a selection based on the literature. Two miRNAs, miR 181 and miR 192 were selected as the endogenous control. MiRNAs were obtained from 5 cc blood samples taken from 20 breast cancer patients and 20 healthy people. 10 microRNAs were studied using Real Time PCR method. As a result, the quantities of miR 21, miR155 and miR125 ​​were significantly higher in the breast cancer group than in healthy controls. We suggest that performing validation studies in wider populations can help the use of miRNAs as biomarkers in the early diagnosis of breast cancer.

Indexed as

Breast NeoplasmsMicroRNAsBiomarkers, TumorFemaleGene Expression ProfilingHumansReal-Time Polymerase Chain ReactionBiomarkers, TumorMicroRNAsMIRN373 microRNA, human

Identifiers

PMID33988168
PMCPMC8182592

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.