Evidence map›Paper›PMID 25279769›Full record

ArticlePloS one2014

Impact of miR-21, miR-126 and miR-221 as prognostic factors of clear cell renal cell carcinoma with tumor thrombus of the inferior vena cava.

Daniel Claudius Vergho, Susanne Kneitz, Charis Kalogirou, Maximilian Burger, Markus Krebs, Andreas Rosenwald, Martin Spahn, Andreas Löser, Arkadius Kocot, Hubertus Riedmiller and 1 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 4 pooled it
3.4field-weighted citation impact, top 8% 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

21 citing papers in PubMed, 4 syntheses or guidelines pooled it, 35 citations in OpenAlex.

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  19. MicroRNAs as novel therapeutic targets to treat kidney injury and fibrosis.American journal of physiology. Renal physiology · 2016
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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

11 authors at 4 institutions in 2 countries.

Daniel Claudius VerghoDepartment of Urology and Pediatric Urology, Julius Maximilians University Medical Center, Würzburg, Germany.
Susanne KneitzPhysiological Chemistry I, Biocenter, University of Würzburg, Würzburg, Germany.
Charis KalogirouDepartment of Urology and Pediatric Urology, Julius Maximilians University Medical Center, Würzburg, Germany.
Maximilian BurgerDepartment of Urology, University of Regensburg, Regensburg, Germany.
Markus KrebsDepartment of Urology and Pediatric Urology, Julius Maximilians University Medical Center, Würzburg, Germany.
Andreas RosenwaldDepartment of Pathology, Comprehensive Cancer Center Mainfranken (CCCM), University of Würzburg, Würzburg, Germany.
Martin SpahnDepartment of Urology, University Hospital Bern, Bern, Switzerland.
Andreas LöserDepartment of Urology and Pediatric Urology, Julius Maximilians University Medical Center, Würzburg, Germany.
Arkadius KocotDepartment of Urology and Pediatric Urology, Julius Maximilians University Medical Center, Würzburg, Germany.
Hubertus RiedmillerDepartment of Urology and Pediatric Urology, Julius Maximilians University Medical Center, Würzburg, Germany.
Burkhard KneitzDepartment of Urology and Pediatric Urology, Julius Maximilians University Medical Center, Würzburg, Germany.
University of Würzburg · DEComprehensive Cancer Center Mainfranken · DEUniversity Hospital of Bern · CHUniversity of Regensburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clear cell renal cell carcinoma (ccRCC) characterized by a tumor thrombus (TT) extending into the inferior vena cava (IVC) generally indicates poor prognosis. Nevertheless, the risk for tumor recurrence after nephrectomy and thrombectomy varies. An applicable and accurate prediction system to select ccRCC patients with TT of the IVC (ccRCC/TT) at high risk after nephrectomy is urgently needed, but has not been established up to now. To our knowledge, a possible role of microRNAs (miRs) for the development of ccRCC/TT or their impact as prognostic markers in ccRCC/TT has not been explored yet. Therefore, we analyzed the expression of the previously described onco-miRs miR-200c, miR-210, miR-126, miR-221, let-7b, miR-21, miR-143 and miR-141 in a study collective of 74 ccRCC patients. Using the expression profiles of these eight miRs we developed classification systems that accurately differentiate ccRCC from non-cancerous renal tissue and ccRCC/TT from tumors without TT. In the subgroup of 37 ccRCC/TT cases we found that miR-21, miR-126, and miR-221 predicted cancer related death (CRD) accurately and independently from other clinico-pathological features. Furthermore, a combined risk score based on the expression of miR-21, miR-126 and miR-221 was developed and showed high sensitivity and specificity to predict cancer specific survival (CSS) in ccRCC/TT. Using the combined risk score we were able to classify ccRCC/TT patients correctly into high and low risk cases. The risk stratification by the combined risk score (CRS) will benefit from further cohort validation and might have potential for clinical application as a molecular prediction system to identify high- risk ccRCC/TT patients.

Indexed as

AgedBiomarkers, TumorCarcinoma, PapillaryCarcinoma, Renal CellCase-Control StudiesFemaleFollow-Up StudiesHumansKidney NeoplasmsMaleMicroRNAsNeoplasm GradingNeoplasm StagingPrognosisReal-Time Polymerase Chain ReactionReverse Transcriptase Polymerase Chain ReactionBiomarkers, TumorMicroRNAsMIR221, humanMIRN126 microRNA, humanMIRN21 microRNA, humanRNA, Messenger

Identifiers

PMID25279769
PMCPMC4184907
OpenAlexW2043317292

What OpenQuestion 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 OpenQuestion graph.