Evidence map›Paper›PMID 41640659›Full record

ArticleAdvanced biomedical research2025

Mohammad Rezaei, Ramin Masoudi Marghmaleki, Farzaneh Sanati Boroujeni, Abbas Shahriari, Shadi Omidghaemi, Mansoureh Azadeh

Abstract read
In one paragraph

Article in Advanced biomedical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

6 authors.

Mohammad RezaeiDepartment of Biology and Biotechnology, University of Pavia, Pavia, Italy.
Ramin Masoudi MarghmalekiZist Fanavari Novin Biotechnology Institute, Technical and Vocational Training Organization, Isfahan, Iran.
Farzaneh Sanati BoroujeniZist Fanavari Novin Biotechnology Institute, Technical and Vocational Training Organization, Isfahan, Iran.
Abbas ShahriariZist Fanavari Novin Biotechnology Institute, Technical and Vocational Training Organization, Isfahan, Iran.
Shadi OmidghaemiZist Fanavari Novin Biotechnology Institute, Technical and Vocational Training Organization, Isfahan, Iran.
Mansoureh AzadehZist Fanavari Novin Biotechnology Institute, Technical and Vocational Training Organization, Isfahan, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Breast carcinoma (BC) ranks as one of the most prevalent illnesses among women, and a variety of factors, including inherited and environmental factors, can impact its start and progression. In this study, we tried to analyze the expression patterns of mRNAs and long noncoding RNAs and find novel biomarkers for the diagnosis and prognosis of BC during a systems biology approach. Materials and Methods: Microarray analysis was performed to find novel potential BC biomarkers. Using miRWalk, lncRRIsearch, STRING, and Cytoscape, noncoding and protein interaction analysis was utilized and visualized. Pathway enrichment and gene ontology analyses were performed to find accurate biological mechanisms of selected RNAs. qRT-PCR was established on 50 tumor samples compared to 50 control samples for validation of bioinformatics analyses and understanding of the diagnosis capability of selected RNAs. Results: Conclusion:

Indexed as

Breast cancerIGF1 proteinlong noncoding RNAmicroRNAsystems biology

Identifiers

PMID41640659
PMCPMC12867197

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.