Evidence map›Paper›PMID 30562989›Full record

ArticleInternational journal of molecular sciences2018

Searching for the Novel Specific Predictors of Prostate Cancer in Urine: The Analysis of 84 miRNA Expression.

Evgeniy A Lekchnov, Evgeniya V Amelina, Olga E Bryzgunova, Ivan A Zaporozhchenko, Mariya Yu Konoshenko, Sergey V Yarmoschuk, Ivan S Murashov, Oxana A Pashkovskaya, Anton M Gorizkii, Aleksandr A Zheravin and 1 more

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

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

  1. Urinary microRNAs expression in prostate cancer diagnosis: a systematic review.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2020
    Pooled it
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  11. Prostate cancer in omics era.Cancer cell international · 2022
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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.

Evgeniy A LekchnovInstitute of Chemical Biology and Fundamental Medicine, Siberian Branch, Russian Academy of Sciences, Novosibirsk 630090, Russia. lekchnov@gmail.com.
Evgeniya V AmelinaThe Center for Technology Transfer and Commercialization, Novosibirsk State University, Novosibirsk 630090, Russia. amelina.evgenia@gmail.com.ORCID 0000-0001-7537-3846
Olga E BryzgunovaInstitute of Chemical Biology and Fundamental Medicine, Siberian Branch, Russian Academy of Sciences, Novosibirsk 630090, Russia. olga.bryzgunova@niboch.nsc.ru.
Ivan A ZaporozhchenkoInstitute of Chemical Biology and Fundamental Medicine, Siberian Branch, Russian Academy of Sciences, Novosibirsk 630090, Russia. ivanzap@niboch.nsc.ru.
Mariya Yu KonoshenkoInstitute of Chemical Biology and Fundamental Medicine, Siberian Branch, Russian Academy of Sciences, Novosibirsk 630090, Russia. lacyjewelrymk@gmail.com.
Sergey V YarmoschukMeshalkin Siberian Federal Biomedical Research Center, Ministry of Public Health of the Russian Federation, Novosibirsk 630055, Russia. s_jarmoschuk@meshalkin.ru.
Ivan S MurashovMeshalkin Siberian Federal Biomedical Research Center, Ministry of Public Health of the Russian Federation, Novosibirsk 630055, Russia. ivmurashov@gmail.com.ORCID 0000-0002-3712-1258
Oxana A PashkovskayaMeshalkin Siberian Federal Biomedical Research Center, Ministry of Public Health of the Russian Federation, Novosibirsk 630055, Russia. oxana.pashkovskaya@gmail.com.
Anton M GorizkiiMeshalkin Siberian Federal Biomedical Research Center, Ministry of Public Health of the Russian Federation, Novosibirsk 630055, Russia. a_goritskij@meshalkin.ru.
Aleksandr A ZheravinMeshalkin Siberian Federal Biomedical Research Center, Ministry of Public Health of the Russian Federation, Novosibirsk 630055, Russia. a_zheravin@meshalkin.ru.
Pavel P LaktionovInstitute of Chemical Biology and Fundamental Medicine, Siberian Branch, Russian Academy of Sciences, Novosibirsk 630090, Russia. lakt@niboch.nsc.ru.

Funding

Russian Science Foundation 16-15-00124
6 · The paper itself

Abstract

The aim of this study was to investigate miRNA profiles of clarified urine supernatant and combined urine vesicle fractions of healthy donors and patients with benign prostatic hyperplasia and prostate cancer (PCa). The comparative analysis of miRNA expression was conducted with a custom miRCURY LNA miRNA qPCR panel. Significant combinations of miRNA pairs were selected by the RandomForest-based feature selection algorithm Boruta; the difference of the medians between the groups and a 95% confidence interval was built using the bootstrap approach. The Asymptotic Wilcoxon-Mann-Whitney Test was performed for miRNA combinations to compare different groups of donors. Benjamini-Hochberg correction was used to adjust the statistical significance for multiple comparisons. The most diagnostically significant miRNAs pairs were miR-107-miR-26b.5p and miR-375.3p-miR-26b.5p in the urine supernatant fraction that discriminated the group of healthy patients and PCa patients, as well as miR-31.5p-miR-16.5p, miR-31.5p-miR-200b, miR-31.5p-miR-30e.3p and miR-31.5p-miR-660.5p in the fraction extracellular vesicles that were different between healthy men and benign prostate hyperplasia patients. Such statistical criteria as the occurrence of individual significant miRNA pairs in the total number of comparisons, median Δ

Indexed as

Gene Expression Regulation, NeoplasticAgedAged, 80 and overHumansMaleMicroRNAsMiddle AgedProstatic NeoplasmsRNA, NeoplasmMicroRNAsRNA, Neoplasmextracellular vesiclesmiRNAprostate cancerurine

Identifiers

PMID30562989
PMCPMC6320807

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.