Evidence map›Paper›PMID 31485228›Full record

ArticleJournal of oncology2019

Identification of Cell-Free Circulating MicroRNAs for the Detection of Early Breast Cancer and Molecular Subtyping.

Karen C B Souza, Adriane F Evangelista, Letícia F Leal, Cristiano P Souza, René A Vieira, Rhafaela L Causin, A C Neuber, Daniele P Pessoa, Geraldo A S Passos, Rui M V Reis and 1 more

Abstract read
In one paragraph

Article in Journal of oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Metformin and long non-coding RNAs in breast cancer.Journal of translational medicine · 2023
    Review
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Review
  16. Review
  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

11 authors.

Karen C B SouzaMolecular Oncology Research Center, Barretos Cancer Hospital, Barretos, Brazil.
Adriane F EvangelistaMolecular Oncology Research Center, Barretos Cancer Hospital, Barretos, Brazil.ORCID https://orcid.org/0000-0002-4731-2082
Letícia F LealMolecular Oncology Research Center, Barretos Cancer Hospital, Barretos, Brazil.
Cristiano P SouzaDepartment of Clinical Oncology, Barretos Cancer Hospital, Barretos, São Paulo, Brazil.
René A VieiraDepartment of Mastology and Breast Reconstruction, Barretos Cancer Hospital, Barretos, Brazil.
Rhafaela L CausinMolecular Oncology Research Center, Barretos Cancer Hospital, Barretos, Brazil.
A C NeuberTumor Biobank, Barretos Cancer Hospital, Barretos, São Paulo, Brazil.
Daniele P PessoaMolecular Oncology Research Center, Barretos Cancer Hospital, Barretos, Brazil.
Geraldo A S PassosDepartment of Basic and Oral Biology, School of Dentistry of Ribeirão Preto, University of São Paulo, Brazil.
Rui M V ReisMolecular Oncology Research Center, Barretos Cancer Hospital, Barretos, Brazil.
Marcia M C MarquesMolecular Oncology Research Center, Barretos Cancer Hospital, Barretos, Brazil.ORCID https://orcid.org/0000-0001-5616-6710

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early detection is crucial for achieving a reduction in breast cancer mortality. Analysis of circulating cell-free microRNAs present in the serum of cancer patients has emerged as a promising new noninvasive biomarker for early detection of tumors and for predicting their molecular classifications. The rationale for this study was to identify subtype-specific molecular profiles of cell-free microRNAs for early detection of breast cancer in serum. Fifty-four early-stage breast cancers with 27 age-matched controls were selected for circulating microRNAs evaluation in the serum. The 54 cases were molecularly classified (luminal A, luminal B, luminal B Her2 positive, Her-2, triple negative). NanoString platform was used for digital detection and quantitation of 800 tagged microRNA probes and comparing the overall differences in serum microRNA expression from breast cancer cases with controls. We identified the 42 most significant (P ≤ 0.05, 1.5-fold) differentially expressed circulating microRNAs in each molecular subtype for further study. Of these microRNAs, 19 were significantly differentially expressed in patients presenting with luminal A, eight in the luminal B, ten in luminal B HER 2 positive, and four in the HER2 enriched subtype. AUC is high with suitable sensitivity and specificity. For the triple negative subtype miR-25-3p had the best accuracy. Predictive analysis of the mRNA targets suggests they encode proteins involved in molecular pathways such as cell adhesion, migration, and proliferation. This study identified subtype-specific molecular profiles of cell-free microRNAs suitable for early detection of breast cancer selected by comparison to the microRNA profile in serum for female controls without apparent risk of breast cancer. This molecular profile should be validated using larger cohort studies to confirm the potential of these miRNA for future use as early detection biomarkers that could avoid unnecessary biopsy in patients with a suspicion of breast cancer.

Identifiers

PMID31485228
PMCPMC6702831

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.