Evidence map›Paper›PMID 29184082›Full record

ArticleScientific reports2017

Identification of a histone family gene signature for predicting the prognosis of cervical cancer patients.

Xiaofang Li, Run Tian, Hugh Gao, Yongkang Yang, Bryan R G Williams, Michael P Gantier, Nigel A J McMillan, Dakang Xu, Yiqun Hu, Yan'e Gao

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 13% 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

44 citing papers in PubMed, 1 synthesis or guideline pooled it, 73 citations in OpenAlex.

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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

10 authors at 4 institutions in 2 countries.

Xiaofang LiDepartment of Obstetrics and Gynecology, the Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an, P.R. China.
Run TianDepartment of Orthopaedics, the Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an, P.R. China.
Hugh GaoHudson Institute of Medical Research, Clayton, Victoria, Australia.ORCID 0000-0003-0228-963X
Yongkang YangDepartment of Obstetrics and Gynecology, the Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an, P.R. China.
Bryan R G WilliamsHudson Institute of Medical Research, Clayton, Victoria, Australia.ORCID 0000-0002-4969-1151
Michael P GantierHudson Institute of Medical Research, Clayton, Victoria, Australia.ORCID 0000-0003-3740-698X
Nigel A J McMillanMenzies Health Institute Queensland, Griffith University, Gold Coast, Australia.
Dakang XuHudson Institute of Medical Research, Clayton, Victoria, Australia.
Yiqun HuFaculty of Medical Laboratory Science, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China. ichunhu@126.com.
Yan'e GaoDepartment of Obstetrics and Gynecology, the Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an, P.R. China. drgao1991@hotmail.com.
Second Affiliated Hospital of Xi'an Jiaotong University · CNHudson Institute of Medical Research · AURuijin Hospital · CNGriffith University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heterogeneity in terms of tumor characteristics, prognosis, and survival among cancer patients is an unsolved issue. Here, we systematically analyzed the aberrant expression patterns of cervical cancer using RNA-Seq data from The Cancer Genome Atlas (TCGA). We incorporated gene profiling, molecular signatures, functional and pathway information with gene set enrichment and protein-protein interaction (PPI) network analysis, to identify sub-networks of genes. Those identified genes relating to DNA replication and DNA repair-mediated signaling pathways associated with systemic lupus erythematosus (SLE). Next, we combined cross-validated prognostic scores to build an integrated prognostic model for survival prediction. The combined approach revealed that the DNA repair-mediated including the functional interaction module of 18 histone genes (Histone cluster 1 H2A, B and H4), were significantly correlated with the survival rate. Furthermore, five of these histone genes were highly expressed in three cervical cancer cohorts from the Oncomine database. Comparison of high and low histone variant-expressing human cervical cancer cell lines revealed different responses to DNA damage, suggesting protective functions of histone genes against DNA damage. Collectively, we provide evidence that two SLE-associated gene sets (HIST1H2BD and HIST1H2BJ; and HIST1H2BD, HIST1H2BJ, HIST1H2BH, HIST1H2AM and HIST1H4K) can be used as prognostic factors for survival prediction among cervical cancer patients.

Indexed as

Biomarkers, TumorMultigene FamilyComputational BiologyDatabases, GeneticFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksGenomicsHistonesHumansKaplan-Meier EstimateMolecular Sequence AnnotationPrognosisProtein Interaction MappingProtein Interaction MapsBiomarkers, TumorHistones

Identifiers

PMID29184082
PMCPMC5705706
OpenAlexW2770182149

What OpenQuestion holds

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LicenceCC BY
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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.