Evidence map›Paper›PMID 38936941›Full record

ArticleIn vivo (Athens, Greece)

Prognostic Value of Tumor Tissue Up-regulated microRNAs in Clear Cell Renal Cell Carcinoma (ccRCC).

Martin Pesta, Ivan Travnicek, Vlastimil Kulda, Pavel Ostasov, Jindra Windrichova, Katerina Houfkova, Tereza Knizkova, Barbora Bendova, Ondrej Hes, Milan Hora and 2 more

Abstract read
In one paragraph

Article in In vivo (Athens, Greece). 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. Article
  2. Article
  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

12 authors.

Martin PestaDepartment of Biology, Faculty of Medicine in Pilsen, Charles University, Pilsen, Czech Republic.
Ivan TravnicekDepartment of Urology, University Hospital in Pilsen, Pilsen, Czech Republic.
Vlastimil KuldaDepartment of Medical Chemistry and Biochemistry, Faculty of Medicine in Pilsen, Charles University, Pilsen, Czech Republic; vlastimil.kulda@lfp.cuni.cz.
Pavel OstasovBiomedical Center, Faculty of Medicine in Pilsen, Charles University, Pilsen, Czech Republic.
Jindra WindrichovaLaboratory of Immunoanalysis, University Hospital in Pilsen, Pilsen, Czech Republic.
Katerina HoufkovaDepartment of Biology, Faculty of Medicine in Pilsen, Charles University, Pilsen, Czech Republic.
Tereza KnizkovaDepartment of Biology, Faculty of Medicine in Pilsen, Charles University, Pilsen, Czech Republic.
Barbora BendovaDepartment of Urology, University Hospital in Pilsen, Pilsen, Czech Republic.
Ondrej HesDepartment of Pathology, University Hospital in Pilsen, Pilsen, Czech Republic.
Milan HoraDepartment of Urology, University Hospital in Pilsen, Pilsen, Czech Republic.
Ondrej TopolcanLaboratory of Immunoanalysis, University Hospital in Pilsen, Pilsen, Czech Republic.
Jiri PolivkaLaboratory of Immunoanalysis, University Hospital in Pilsen, Pilsen, Czech Republic.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimThe management of patients with clear cell renal cell carcinoma (ccRCC) includes prognosis assessment based on TNM classification and biochemical markers. This approach stratifies patients with advanced ccRCC into groups of favorable, intermediate, and poor prognosis. The aim of the study was to improve prognosis estimation using microRNAs involved in the pathogenesis of ccRCC. PATIENTS AND

methodsThe study was based on a histologically-verified set of matched ccRCC FFPE tissue samples (normal renal tissue, primary tumor, metastasis, n=20+20+20). The expression of 2,549 microRNAs was analyzed using the SurePrint G3 Human miRNA microarray kit (Agilent Technologies). Prognostic value of significantly deregulated microRNAs was further evaluated on microRNA expression and clinical data of 475 patients obtained from TCGA Kidney Clear Cell Carcinoma (KIRC) database.

resultsThere were 13 up-regulated and 6 down-regulated microRNAs in tumor tissues compared to control tissues. Among them, survival analysis revealed those with prognostic significance. Patients with high expression of miR-21, miR-27a, miR-34a, miR-106b, miR-210, and miR-342 showed significantly unfavorable outcome. The opposite was observed for miR-30e, patients with low expression had significantly shorter survival.

conclusionThe inclusion of these microRNAs in a prognostic panel holds the potential to enhance stratification scoring systems, on which the treatment of ccRCC patients is based.

Indexed as

Biomarkers, TumorCarcinoma, Renal CellGene Expression ProfilingGene Expression Regulation, NeoplasticKidney NeoplasmsMicroRNAsAdultAgedAged, 80 and overFemaleHumansKaplan-Meier EstimateMaleMiddle AgedNeoplasm StagingPrognosisBiomarkers, TumorMicroRNAsbiomarkersClear cell renal cell carcinomamicroRNAprognosistreatment

Identifiers

PMID38936941
PMCPMC11215600

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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.