Evidence map›Paper›PMID 25296972›Full record

ArticleOncotarget2014

Novel robust biomarkers for human bladder cancer based on activation of intracellular signaling pathways.

Ksenia Lezhnina, Olga Kovalchuk, Alexander A Zhavoronkov, Mikhail B Korzinkin, Anastasia A Zabolotneva, Peter V Shegay, Dmitry G Sokov, Nurshat M Gaifullin, Igor G Rusakov, Alexander M Aliper and 4 more

Abstract read
In one paragraph

Article in Oncotarget, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

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  19. Cell death discovery · 2017
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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

14 authors.

Ksenia LezhninaPathway Pharmaceuticals, Wan Chai, Hong Kong, Hong Kong SAR. Laboratory of Bioinformatics, D. Rogachyov Federal Research Center of Pediatric Hematology, Oncology and Immunology, Moscow, Russia.
Olga KovalchukDepartment of Biological Sciences, University of Lethbridge, 4401 University Drive, Lethbridge, AB, T1K 3M4. Canada Cancer and Aging Research Laboratories, Lethbridge, AB, Canada.
Alexander A ZhavoronkovLaboratory of Bioinformatics, D. Rogachyov Federal Research Center of Pediatric Hematology, Oncology and Immunology, Moscow, Russia. Insilico Medicine, Inc, ETC, Johns Hopkins University, Baltimore, MD. Faculty of Biological and Medical Physics, Moscow Institute of Physics and Technology.
Mikhail B KorzinkinPathway Pharmaceuticals, Wan Chai, Hong Kong, Hong Kong SAR.
Anastasia A ZabolotnevaGroup for Genomic Regulation of Cell Signaling Systems, Shemyakn-Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia.
Peter V ShegayP.A. Herzen Moscow Oncological Research Institute, Moscow, Russia.
Dmitry G SokovMoscow 1st Oncological Hospital, Moscow, Russia.
Nurshat M GaifullinLomonosov Moscow State University, Faculty of Fundamental Medicine, Moscow, Russia. Russian medical postgraduate academy,Moscow, Russia.
Igor G RusakovP.A. Herzen Moscow Oncological Research Institute, Moscow, Russia.
Alexander M AliperPathway Pharmaceuticals, Wan Chai, Hong Kong, Hong Kong SAR. Laboratory of Bioinformatics, D. Rogachyov Federal Research Center of Pediatric Hematology, Oncology and Immunology, Moscow, Russia.
Sergey A RoumiantsevLaboratory of Bioinformatics, D. Rogachyov Federal Research Center of Pediatric Hematology, Oncology and Immunology, Moscow, Russia.
Boris Y AlekseevP.A. Herzen Moscow Oncological Research Institute, Moscow, Russia.
Nikolay M BorisovLaboratory of Systems Biology, A.I. Burnasyan Federal Medical Biophysical Center, Moscow, Russia.
Anton A BuzdinPathway Pharmaceuticals, Wan Chai, Hong Kong, Hong Kong SAR. Laboratory of Bioinformatics, D. Rogachyov Federal Research Center of Pediatric Hematology, Oncology and Immunology, Moscow, Russia. Group for Genomic Regulation of Cell Signaling Systems, Shemyakn-Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We recently proposed a new bioinformatic algorithm called OncoFinder for quantifying the activation of intracellular signaling pathways. It was proved advantageous for minimizing errors of high-throughput gene expression analyses and showed strong potential for identifying new biomarkers. Here, for the first time, we applied OncoFinder for normal and cancerous tissues of the human bladder to identify biomarkers of bladder cancer. Using Illumina HT12v4 microarrays, we profiled gene expression in 17 cancer and seven non-cancerous bladder tissue samples. These experiments were done in two independent laboratories located in Russia and Canada. We calculated pathway activation strength values for the investigated transcriptomes and identified signaling pathways that were regulated differently in bladder cancer (BC) tissues compared with normal controls. We found, for both experimental datasets, 44 signaling pathways that serve as excellent new biomarkers of BC, supported by high area under the curve (AUC) values. We conclude that the OncoFinder approach is highly efficient in finding new biomarkers for cancer. These markers are mathematical functions involving multiple gene products, which distinguishes them from "traditional" expression biomarkers that only assess concentrations of single genes.

Indexed as

AlgorithmsBiomarkers, TumorComputational BiologyGene ExpressionGene Expression ProfilingGene Expression Regulation, NeoplasticHumansOligonucleotide Array Sequence AnalysisSignal TransductionTranscriptomeUrinary BladderUrinary Bladder NeoplasmsBiomarkers, Tumor

Identifiers

PMID25296972
PMCPMC4253415

What OpenQuestion holds

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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.