Evidence map›Paper›PMID 38002073›Full record

ArticleBiomedicines2023

miRNA Expression Patterns in Early- and Late-Stage Prostate Cancer Patients: High-Throughput Analysis.

Irina Gilyazova, Elizaveta Ivanova, Himanshu Gupta, Artur Mustafin, Ruslan Ishemgulov, Adel Izmailov, Gulshat Gilyazova, Elena Pudova, Valentin Pavlov, Elza Khusnutdinova

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomedicines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. 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

10 authors.

Irina GilyazovaSubdivision of the Ufa Federal Research Centre of the Russian Academy of Sciences, Institute of Biochemistry and Genetics, 450054 Ufa, Russia.ORCID 0000-0001-9499-5632
Elizaveta IvanovaSubdivision of the Ufa Federal Research Centre of the Russian Academy of Sciences, Institute of Biochemistry and Genetics, 450054 Ufa, Russia.ORCID 0000-0002-7853-8658
Himanshu GuptaDepartment of Biotechnology, Institute of Applied Sciences and Humanities, GLA University, Mathura 281406, India.ORCID 0000-0003-1391-8358
Artur MustafinInstitute of Urology and Clinical Oncology, Department of Medical Genetics and Fundamental Medicine, Bashkir State Medical University, 450008 Ufa, Russia.
Ruslan IshemgulovInstitute of Urology and Clinical Oncology, Department of Medical Genetics and Fundamental Medicine, Bashkir State Medical University, 450008 Ufa, Russia.
Adel IzmailovInstitute of Urology and Clinical Oncology, Department of Medical Genetics and Fundamental Medicine, Bashkir State Medical University, 450008 Ufa, Russia.
Gulshat GilyazovaInstitute of Urology and Clinical Oncology, Department of Medical Genetics and Fundamental Medicine, Bashkir State Medical University, 450008 Ufa, Russia.
Elena PudovaEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia.ORCID 0000-0002-5492-1361
Valentin PavlovInstitute of Urology and Clinical Oncology, Department of Medical Genetics and Fundamental Medicine, Bashkir State Medical University, 450008 Ufa, Russia.
Elza KhusnutdinovaSubdivision of the Ufa Federal Research Centre of the Russian Academy of Sciences, Institute of Biochemistry and Genetics, 450054 Ufa, Russia.ORCID 0000-0003-2987-3334

Funding

Bashkir State Medical University Strategic Academic Leadership Program PRIORITY-2030Megagrant from Ministry of Science and Higher Education of the Russian Federation 075-15-2021-595St. Petersburg State University 94034528
6 · The paper itself

Abstract

Prostate cancer (PCa) is one of the most common types of cancer among men. To date, there have been no specific markers identified for the diagnosis and prognosis or response to treatment of this disease. Thus, there is an urgent need for promising markers, which may be fulfilled by small non-coding RNAs known as microRNAs (miRNAs). Therefore, the present study aimed to investigate the miRNA profile in tissue samples obtained from patients with PCa using microarrays, followed by reverse transcriptase quantitative PCRs (RT-qPCRs). In the discovery phase, 754 miRNAs were screened in tissues obtained from patients (

Indexed as

gene expressionmicroRNAprostate cancer

Identifiers

PMID38002073
PMCPMC10669269

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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.