Evidence map›Paper›PMID 36358862›Full record

ReviewCancers2022

Classic and New Markers in Diagnostics and Classification of Breast Cancer.

Roman Beňačka, Daniela Szabóová, Zuzana Guľašová, Zdenka Hertelyová, Jozef Radoňák

Open access · goldAbstract readReview
In one paragraph

Review in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
7.5field-weighted citation impact, top 2% 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

49 citing papers in PubMed, 84 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. International journal of molecular sciences · 2026
    Article
  6. Article
  7. Expression of MIR155HG, LOC283856, KIAA0125, and LOC100190986 as potential prognostic and predictive biomarkers for breast cancer.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas · 2026
    Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Review
  13. Article
  14. Review
  15. Review
  16. Review
  17. Article
  18. Review
  19. Liquid biopsies in cancer.Molecular biomedicine · 2025
    Review
  20. Overexpression of cytoplasmic poly(A)-binding protein 1 as a biomarker for the prognosis and selection of postoperative regimen in breast cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
    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

5 authors at 1 institution in 1 country.

Roman BeňačkaDepartment of Pathophysiology, Faculty of Medicine, P.J. Šafarik University, 040 11 Košice, Slovakia.
Daniela SzabóováDepartment of Pathophysiology, Faculty of Medicine, P.J. Šafarik University, 040 11 Košice, Slovakia.
Zuzana GuľašováCenter of Clinical and Preclinical Research MEDIPARK, P.J. Šafarik University, 040 11 Košice, Slovakia.
Zdenka HertelyováCenter of Clinical and Preclinical Research MEDIPARK, P.J. Šafarik University, 040 11 Košice, Slovakia.ORCID 0000-0003-1552-7115
Jozef Radoňák1st Department of Surgery, Faculty of Medicine, UNLP and P.J. Šafarik University, 040 11 Košice, Slovakia.
University of Pavol Jozef Šafárik · SK

Funding

Scientific Grant Agency of the Ministry of Education, Research and Sport of the Slovak Republic VEGA 1/0622/20
6 · The paper itself

Abstract

Breast cancer remains the most frequently diagnosed form of female's cancer, and in recent years it has become the most common cause of cancer death in women worldwide. Like many other tumours, breast cancer is a histologically and biologically heterogeneous disease. In recent years, considerable progress has been made in diagnosis, subtyping, and complex treatment of breast cancer with the aim of providing best suited tumour-specific personalized therapy. Traditional methods for breast cancer diagnosis include mammography, MRI, biopsy and histological analysis of tumour tissue in order to determine classical markers such as estrogen and progesterone receptors (ER, PR), cytokeratins (CK5/6, CK14, C19), proliferation index (Ki67) and human epidermal growth factor type 2 receptor (HER2). In recent years, these methods have been supplemented by modern molecular methodologies such as next-generation sequencing, microRNA, in situ hybridization, and RT-qPCR to identify novel molecular biomarkers. MicroRNAs (miR-10b, miR-125b, miR145, miR-21, miR-155, mir-30, let-7, miR-25-3p), altered DNA methylation and mutations of specific genes (p16, BRCA1, RASSF1A, APC, GSTP1), circular RNA (hsa_circ_0072309, hsa_circRNA_0001785), circulating DNA and tumour cells, altered levels of specific proteins (apolipoprotein C-I), lipids, gene polymorphisms or nanoparticle enhanced imaging, all these are promising diagnostic and prognostic tools to disclose any specific features from the multifaceted nature of breast cancer to prepare best suited individualized therapy.

Indexed as

breast cancerbreast cancer gene candidateshistological and molecular subtypesmicroRNAmolecular biomarkersnew generation sequencing

Identifiers

PMID36358862
PMCPMC9654192
OpenAlexW4308446949

What Socratic 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 Socratic graph.