Evidence map›Paper›PMID 38062163›Full record

ArticleScientific reports2023

Impact of three miRNA signature as potential diagnostic marker for triple negative breast cancer patients.

Vivek Kumar, Mansi Gautam, Amit Chaudhary, Bipin Chaurasia

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
5.5field-weighted citation impact, top 4% 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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Review
  9. Review
  10. Article
  11. Article
  12. microRNAs as Biomarkers of Breast Cancer.International journal of molecular sciences · 2025
    Review
  13. Article
  14. MiR-147b-3p promotes osteogenesis by targeting NDUFA4 and PI3K/AKT pathway.Journal of orthopaedic surgery and research · 2025
    Article
  15. Article
  16. Review
  17. Review
  18. Review
  19. Article
  20. Article
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

4 authors at 4 institutions in 2 countries.

Vivek KumarMolecular Genetic Laboratory, Department of Pathology/Lab Medicine, All India Institute of Medical Sciences, Academic Building, Phulwarisharif, Patna, 801507, India.
Mansi GautamDepartment of Medical Biotechnology, Galgotias University, Greater Noida, Uttar Pradesh, 201306, India.
Amit ChaudharyMetallurgical Engineering & Materials Science, Indian Institute of Technology Bombay, Powai, 400076, India.
Bipin ChaurasiaDepartment of Neurosurgery, Neurosurgery Clinic, Birgunj, Nepal. trozexa@gmail.com.
All India Institute of Medical Sciences · INBir Hospital · NPGalgotias University · INIndian Institute of Technology Bombay · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is a highly aggressive type of cancer and has several subtypes, including triple-negative breast cancer (TNBC), which accounts for 25% of morbidity related to breast cancer. miRNAs are small non-coding RNA molecules that regulate 60% of human genes. Dysregulated expression of miRNA in liquid biopsy of TNBC patients has the potential as a minimally invasive diagnostic biomarker. The Association of miRNA with TNBC was evaluated using in-silico analysis. Highly enriched miRNAs were selected for functional analysis to evaluate the role of miRNA in the progression of TNBC. The qRT-PCR-based expression analysis of miRNA was performed in 190 serum samples (139 TNBC and 51 healthy). Revealed the elevated expression of miRNA-155 and miRNA-21 in TNBC compared to control samples (P < 0.0001), while miRNA-205 was significantly downregulated in TNBC (P < 0.0001). The combined diagnostic value of the miRNA-205, miRNA-155 and miRNA-21 in cohort-I, cohort-II, and cohort-III was AUC of 96.1% (P < 0.0001), 94.9% (P < 0.0001), and 97.1% (P < 0.0001), respectively. Our study revealed that dysregulated expression of miRNA could be used as an independent indicator for discriminating TNBC from healthy patients. In addition, the combined predictive value of miRNA-205 + miRNA - 155 + miRNA-21 has higher AUC, sensitivity, and specificity in the diagnosis of TNBC in all three cohorts.

Indexed as

MicroRNAsTriple Negative Breast NeoplasmsBiomarkers, TumorGene Expression Regulation, NeoplasticHumansBiomarkers, TumorMicroRNAsMIRN155 microRNA, human

Identifiers

PMID38062163
PMCPMC10703933
OpenAlexW4389461896

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.