Evidence map›Paper›PMID 35262965›Full record

ArticleJournal of clinical laboratory analysis2022

E2F4 may be a core transcription factor in the lncRNA-TF regulatory network in cervical cancer.

Haiyan Yang, Xiaoli Qu, Jiangang Huang, Fan Zhang, Ziyu Fang, Bin Zhao, Yifeng Wang

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 41% 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

7 citing papers in PubMed, 7 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

7 authors at 5 institutions in 1 country.

Haiyan YangDepartment of Obstetrics Gynecology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.ORCID https://orcid.org/0000-0002-6236-6169
Xiaoli QuDepartment of Gynecological Oncology, The Fifth Affiliated Hospital of Guangxi Medical University, Liuzhou, China.
Jiangang HuangFujian Provincial Key Laboratory of Innovative Drug Target Research and State Key Laboratory of Cellular Stress Biology, School of Pharmaceutical Sciences, Xiamen University, Xiamen, China.
Fan ZhangShanghai OE Biotech Co., Ltd, Shanghai, China.
Ziyu FangDepartment of Gynecological Oncology, The Fourth Affiliated Hospital of Guangxi Medical University, Liuzhou, China.
Bin ZhaoXiamen Health and Medical Big Data Center, Xiamen, China.
Yifeng WangDepartment of Obstetrics Gynecology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Fourth Affiliated Hospital of Guangxi Medical University · CNZhujiang Hospital · CNViva Biotech (China) · CNXiamen Chang Gung Hospital · CNXiamen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCervical cancer is the most common gynecological cancer worldwide and is associated with high morbidity and mortality. Despite improvements in therapeutic strategies, the network regulation mechanism remains unclear and the treatment effect is not satisfactory. Therefore, there is a need to continue studying the mechanism of cervical cancer to explore effective gene targets and precise targeted therapy drugs.

methodsFirst, three paired tissues (cancer tissues and noncancerous tissues) from patients with cervical squamous cell carcinoma were collected, grouped, and analyzed by microarray. Second, differentially expressed mRNAs (DEMs) and differentially expressed lncRNAs (DELs) (|fold change| ≥ 2 and p < 0.05) between the two groups were screened. For DEMs, functional annotation and pathway analysis were performed using DAVID. Functional prediction of DELs was then performed and their cis-regulatory and trans-regulatory networks were explored.

resultsFunction prediction of DELs (both up-regulated and down-regulated) shows that the highest frequency Cellular Component (CC) item is cytosol, the highest frequency Molecular function (MF) item is mitotic cell cycle and the highest frequency Biological Process (BP) item is protein binding. Through cis-regulation analysis of DELs, the cis-regulatory relationship of 96 DELs was predicted. The lncRNA-trans-regulation network analysis suggested that E2F4 may be the core transcription factor in the lncRNA-TF regulatory network in cervical cancer.

conclusionsThe lncRNA-TF regulatory network plays an important role in the occurrence and progression of cervical cancer, and E2F4 may be a critical transcription factor in the regulatory network.

Indexed as

MicroRNAsRNA, Long NoncodingUterine Cervical NeoplasmsE2F4 Transcription FactorFemaleGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansRNA, MessengerTranscription FactorsE2F4 protein, humanE2F4 Transcription FactorMicroRNAsRNA, Long NoncodingRNA, MessengerTranscription Factorscervical cancerLncRNAmicroarraytranscription factor

Identifiers

PMID35262965
PMCPMC8993607
OpenAlexW4220777879

What OpenQuestion holds

Textmetadata
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.