Evidence map›Paper›PMID 33806327›Full record

ArticleInternational journal of molecular sciences2021

Comprehensive Analysis of Correlations in the Expression of miRNA Genes and Immune Checkpoint Genes in Bladder Cancer Cells.

Przemysław A Stempor, Dror Avni, Raya Leibowitz, Yechezkel Sidi, Maria Stępień, Tomasz Dzieciątkowski, Paula Dobosz

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 54% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. 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

7 authors at 5 institutions in 3 countries.

Przemysław A StemporSmartImmune Ltd, Accelerate Cambridge, University of Cambridge Judge Business School, Cambridge CB4 1EE, UK.ORCID 0000-0002-9464-7475
Dror AvniLaboratory of Molecular Cell Biology, Center for Cancer Research and Department of Medicine C, Sheba Medical Center, Tel Hashome 52621, Israel.
Raya LeibowitzOncology Institute, Shamir Medical Center, Be'er Yaakov, Tel Hashome 52621, Israel.
Yechezkel SidiFaculty of Medicine, Sackler School of Medicine, Tel Aviv University, Tel Aviv-Yafo 6997801, Israel.
Maria StępieńFaculty of Medicine, Medical University of Lublin, 20-059 Lublin, Poland.ORCID 0000-0002-3377-4665
Tomasz DzieciątkowskiDepartment of Microbiology, Medical University of Warsaw, 02-005 Warsaw, Poland.
Paula DoboszDepartment of Hematology, Transplantationand Internal Medicine, Medical University of Warsaw, 02-097 Warsaw, Poland.
Medical University of Warsaw · PLTel Aviv University · ILMedical University of Lublin · PLSheba Medical Center · ILUniversity of Cambridge · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Personalised medicine is the future and hope for many patients, including those with cancers. Early detection, as well as rapid, well-selected treatment, are key factors leading to a good prognosis. MicroRNA mediated gene regulation is a promising area of development for new diagnostic and therapeutic methods, crucial for better prospects for patients. Bladder cancer is a frequent neoplasm, with high lethality and lacking modern, advanced therapeutic modalities, such as immunotherapy. MicroRNAs are involved in bladder cancer pathogenesis, proliferation, control and response to treatment, which we summarise in this perspective in response to lack of recent review publications in this field. We further performed a correlation-based analysis of microRNA and gene expression data in bladder cancer (BLCA) TCGA dataset. We identified 27 microRNAs hits with opposite expression profiles to genes involved in immune response in bladder cancer, and 24 microRNAs hits with similar expression profiles. We discuss previous studies linking the functions of these microRNAs to bladder cancer and assess if they are good candidates for personalised medicine therapeutics and diagnostics. The discussed functions include regulation of gene expression, interplay with transcription factors, response to treatment, apoptosis, cell proliferation and angiogenesis, initiation and development of cancer, genome instability and tumour-associated inflammatory reaction.

Indexed as

Biomarkers, TumorBreast NeoplasmsDatabases, GeneticFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansImmune Checkpoint ProteinsImmunological SynapsesMicroRNAsModels, GeneticRNA, MessengerRNA, NeoplasmUrinary Bladder NeoplasmsBiomarkers, TumorImmune Checkpoint ProteinsMicroRNAsRNA, MessengerRNA, Neoplasmbladder cancerimmune checkpointsimmunological synapsemicroRNAmiRNAnoncoding RNAs

Identifiers

PMID33806327
PMCPMC7961343
OpenAlexW3134715485

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.