Evidence map›Paper›PMID 34323415›Full record

ArticleClinical and translational medicine2021

An epigenomic landscape of cervical intraepithelial neoplasia and cervical cancer using single-base resolution methylome and hydroxymethylome.

Yingxin Han, Liyan Ji, Yanfang Guan, Mengya Ma, Pansong Li, Yinge Xue, Yinxin Zhang, Wanqiu Huang, Yuhua Gong, Li Jiang and 10 more

Open access · goldAbstract read
In one paragraph

Article in Clinical and translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

14 citing papers in PubMed, 18 citations in OpenAlex.

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  5. Identification of a novel hypermethylation marker, ZSCAN18, and construction of a diagnostic model in cervical cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
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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

20 authors at 8 institutions in 3 countries.

Yingxin HanKey Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Centre for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, China.
Liyan JiGenePlus-Beijing, Beijing, China.ORCID 0000-0001-5680-9579
Yanfang GuanDepartment of Computer Science and Technology, School of Electronic and Information Engineering, Xi'an Jiao Tong University, Xi'an, China.
Mengya MaGenePlus-Beijing, Beijing, China.
Pansong LiGenePlus-Beijing, Beijing, China.ORCID 0000-0002-6278-5179
Yinge XueShanghai FLY Medical Laboratory, Shanghai, China.
Yinxin ZhangShanghai FLY Medical Laboratory, Shanghai, China.
Wanqiu HuangKey Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Centre for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, China.
Yuhua GongGenePlus-Beijing, Beijing, China.
Li JiangThe Department of Obstetrics and Gynecology, Xinhua Hospital affiliated to Shanghai Jiao Tong University, Shanghai, China.
Xipeng WangThe Department of Obstetrics and Gynecology, Xinhua Hospital affiliated to Shanghai Jiao Tong University, Shanghai, China.
Hong XieThe Department of Obstetrics and Gynecology, Shenzhen People's Hospital, Shenzhen, China.
Boping ZhouThe Department of Obstetrics and Gynecology, Shenzhen People's Hospital, Shenzhen, China.
Jiayin WangDepartment of Computer Science and Technology, School of Electronic and Information Engineering, Xi'an Jiao Tong University, Xi'an, China.
Junwen WangGenome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Jinghua HanGenome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Yuliang DengKey Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Centre for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, China.
Xin YiGenePlus-Beijing, Beijing, China.
Fei GaoGenome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Jian HuangKey Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Centre for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, China.
Shanghai Jiao Tong University · CNAnnoroad Gene Technology (China) · CNAgricultural Genomics Institute at Shenzhen · CNShanghai Medical College of Fudan University · CNShenZhen People’s Hospital · CNUniversity of Copenhagen · DKXi’an University · CNZero to Three · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCervical cancer (CC) is the second leading cause of cancer death among women worldwide. Epigenetic regulation of gene expression through DNA methylation and hydroxymethylation plays a pivotal role during tumorigenesis. In this study, to analyze the epigenomic landscape and identify potential biomarkers for CCs, we selected a series of samples from normal to cervical intra-epithelial neoplasia (CINs) to CCs and performed an integrative analysis of whole-genome bisulfite sequencing (WGBS-seq), oxidative WGBS, RNA-seq, and external histone modifications profiling data.

resultsIn the development and progression of CC, there were genome-wide hypo-methylation and hypo-hydroxymethylation, accompanied by local hyper-methylation and hyper-hydroxymethylation. Hydroxymethylation prefers to distribute in the CpG islands and CpG shores, as displayed a trend of gradual decline from health to CIN2, while a trend of increase from CIN3 to CC. The differentially methylated and hydroxymethylated region-associated genes both enriched in Hippo and other cancer-related signaling pathways that drive cervical carcinogenesis. Furthermore, we identified eight novel differentially methylated/hydroxymethylated-associated genes (DES, MAL, MTIF2, PIP5K1A, RPS6KA6, ANGEL2, MPP, and PAPSS2) significantly correlated with the overall survival of CC. In addition, no any correlation was observed between methylation or hydroxymethylation levels and somatic copy number variations in CINs and CCs.

conclusionOur current study systematically delineates the map of methylome and hydroxymethylome from CINs to CC, and some differentially methylated/hydroxymethylated-associated genes can be used as the potential epigenetic biomarkers in CC prognosis.

Indexed as

DNA MethylationBiomarkers, TumorCpG IslandsDNA Copy Number VariationsEpigenomicsExoribonucleasesFemaleHistonesHumansMultienzyme ComplexesMyelin and Lymphocyte-Associated Proteolipid ProteinsSignal TransductionSulfate AdenylyltransferaseSurvival RateUterine Cervical DysplasiaUterine Cervical NeoplasmsANGEL2 protein, humanBiomarkers, TumorExoribonucleasesHistonesMAL protein, humanMultienzyme ComplexesMyelin and Lymphocyte-Associated Proteolipid ProteinsPAPS synthetaseSulfate Adenylyltransferasecervical cancercervical intraepithelial neoplasiaDhMRDMRhydroxymethylationmethylation

Identifiers

PMID34323415
PMCPMC8288011
OpenAlexW3186871407

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.