Evidence map›Paper›PMID 33870423›Full record

ArticleBioscience reports2021

FOXP4-AS1 is a favorable prognostic-related enhancer RNA in ovarian cancer.

Tian Hua, Yun-Jie Tian, Rui-Min Wang, Cai-Fen Zhao, Yun-Hong Kong, Rui-Qing Tian, Wei Wang, Li-Xia Ma

Open access · goldAbstract read
In one paragraph

Article in Bioscience reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 26% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Review
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  5. Review
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  7. Review
  8. Roles of enhancer RNAs in sex hormone-dependent cancers.Journal of cancer research and clinical oncology · 2022
    Review
  9. Article
  10. Article
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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

8 authors at 1 institution in 1 country.

Tian HuaDepartment of Gynaecology, Affiliated Xing Tai People Hospital of Hebei Medial University, 399 Shunde Road, Xingtai 054001, China.
Yun-Jie TianDepartment of Obstetrics and Gynaecology, Hebei Medical University, Fourth Hospital, 12 Jiankang Road, Shijiazhuang 050000, China.
Rui-Min WangDepartment of Gynaecology, Affiliated Xing Tai People Hospital of Hebei Medial University, 399 Shunde Road, Xingtai 054001, China.
Cai-Fen ZhaoDepartment of Gynaecology, Affiliated Xing Tai People Hospital of Hebei Medial University, 399 Shunde Road, Xingtai 054001, China.
Yun-Hong KongDepartment of Gynaecology, Affiliated Xing Tai People Hospital of Hebei Medial University, 399 Shunde Road, Xingtai 054001, China.
Rui-Qing TianDepartment of Gynaecology, Affiliated Xing Tai People Hospital of Hebei Medial University, 399 Shunde Road, Xingtai 054001, China.
Wei WangDepartment of Obstetrics and Gynaecology, Hebei Medical University, Second Hospital, Shijiazhuang 050000, China.
Li-Xia MaDepartment of Gynaecology, Affiliated Xing Tai People Hospital of Hebei Medial University, 399 Shunde Road, Xingtai 054001, China.
Hebei Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ovarian cancer (OV) is the main cause of deaths worldwide in female reproductive system malignancies. Enhancer RNAs (eRNAs) are derived from the transcription of enhancers and has attracted increasing attention in cancers recently. However, the biological functions and clinical significance of eRNAs in OV have not been well described presently. We used an integrated data analysis to identify prognostic-related eRNAs in OV. Tissue-specific enhancer-derived RNAs and their regulating genes were considered as putative eRNA-target pairs using the computational pipeline PreSTIGE. Gene expression profiles and clinical data of OV and 32 other cancer types were obtained from the UCSC Xena platform. Altogether, 71 eRNAs candidates showed significant correlation with overall survival (OS) of OV samples (Kaplan-Meier log-rank test, P<0.05). Among which, 23 were determined to be correlated with their potential target genes (Spearman's r > 0.3, P<0.001). It was found that among the 23 prognostic-related eRNAs, the expression of forkhead box P4 antisense RNA 1 (FOXP4-AS1) had the highest positive correlation with its predicted target gene FOXP4 (Spearman's r = 0.61). Moreover, the results were further validated by RT-qPCR analysis in an independent OV cohort. Our results suggested the eRNA FOXP4-AS1 expression index may be a favorable independent prognostic biomarker candidate in OV.

Indexed as

AgedBiomarkers, TumorFemaleForkhead Transcription FactorsHumansMiddle AgedOvarian NeoplasmsRNA, Long NoncodingSurvival AnalysisBiomarkers, TumorForkhead Transcription FactorsFOXP4 antisense RNA 1, humanFOXP4 protein, humanRNA, Long NoncodingenhancerFOXP4FOXP4-AS1OVprognosis

Identifiers

PMID33870423
PMCPMC8150160
OpenAlexW3153428098

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.