Evidence map›Paper›PMID 37373333›Full record

ArticleInternational journal of molecular sciences2023

Uncharacterized Proteins CxORFx: Subinteractome Analysis and Prognostic Significance in Cancers.

Pavel Ershov, Evgeniy Yablokov, Yuri Mezentsev, Alexis Ivanov

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
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  5. Article
  6. Proteomics and Its Applications in Cancers 2.0.International journal of molecular sciences · 2024
    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

4 authors at 1 institution in 1 country.

Pavel ErshovInstitute of Biomedical Chemistry, Moscow 119121, Russia.ORCID 0000-0002-3386-6201
Evgeniy YablokovInstitute of Biomedical Chemistry, Moscow 119121, Russia.ORCID 0000-0003-3743-8797
Yuri MezentsevInstitute of Biomedical Chemistry, Moscow 119121, Russia.ORCID 0000-0002-9932-515X
Alexis IvanovInstitute of Biomedical Chemistry, Moscow 119121, Russia.ORCID 0000-0002-7022-6748
Institute of Biomedical Chemistry · RU

Funding

Ministry of Science and Higher Education (Russia) №122030100168-2
6 · The paper itself

Abstract

Functions of about 10% of all the proteins and their associations with diseases are poorly annotated or not annotated at all. Among these proteins, there is a group of uncharacterized chromosome-specific open-reading frame genes (CxORFx) from the 'Tdark' category. The aim of the work was to reveal associations of CxORFx gene expression and ORF proteins' subinteractomes with cancer-driven cellular processes and molecular pathways. We performed systems biology and bioinformatic analysis of 219 differentially expressed CxORFx genes in cancers, an estimation of prognostic significance of novel transcriptomic signatures and analysis of subinteractome composition using several web servers (GEPIA2, KMplotter, ROC-plotter, TIMER, cBioPortal, DepMap, EnrichR, PepPSy, cProSite, WebGestalt, CancerGeneNet, PathwAX II and FunCoup). The subinteractome of each ORF protein was revealed using ten different data sources on physical protein-protein interactions (PPIs) to obtain representative datasets for the exploration of possible cellular functions of ORF proteins through a spectrum of neighboring annotated protein partners. A total of 42 out of 219 presumably cancer-associated ORF proteins and 30 cancer-dependent binary PPIs were found. Additionally, a bibliometric analysis of 204 publications allowed us to retrieve biomedical terms related to ORF genes. In spite of recent progress in functional studies of ORF genes, the current investigations aim at finding out the prognostic value of CxORFx expression patterns in cancers. The results obtained expand the understanding of the possible functions of the poorly annotated CxORFx in the cancer context.

Indexed as

Gene Expression ProfilingNeoplasmsOpen Reading FramesProteinsHumansPrincipal Component AnalysisPrognosisProtein Interaction MapsProteinscancersgene expressionopen-reading framesubinteractometumorsuncharacterized proteins

Identifiers

PMID37373333
PMCPMC10298883
OpenAlexW4380886762

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.