Evidence map›Paper›PMID 34837713›Full record

SynthesisJournal of clinical laboratory analysis2022

Long non-coding RNA MIR31HG as a prognostic predictor for malignant cancers: A meta- and bioinformatics analysis.

Yuanfeng Wei, Yingjie Zhai, Xiaoang Liu, Shan Jin, Lu Zhang, Chengyan Wang, Hong Zou, Jianming Hu, Lianghai Wang, Jinfang Jiang and 2 more

Open access · goldAbstract readMeta-AnalysisReview
In one paragraph

Synthesis 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, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 31% 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, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Epigenetic and Immunological Features of Bladder Cancer.International journal of molecular sciences · 2023
    Review
  5. Article
  6. Long Non-Coding RNAInternational journal of molecular sciences · 2022
    Article
  7. 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

12 authors at 1 institution in 1 country.

Yuanfeng WeiNHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases (First Affiliated Hospital, School of Medicine, Shihezi University), Shihezi, China.
Yingjie ZhaiNHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases (First Affiliated Hospital, School of Medicine, Shihezi University), Shihezi, China.
Xiaoang LiuSchool of Pharmacy, Shihezi University, Shihezi, China.
Shan JinNHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases (First Affiliated Hospital, School of Medicine, Shihezi University), Shihezi, China.
Lu ZhangNHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases (First Affiliated Hospital, School of Medicine, Shihezi University), Shihezi, China.
Chengyan WangNHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases (First Affiliated Hospital, School of Medicine, Shihezi University), Shihezi, China.
Hong ZouNHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases (First Affiliated Hospital, School of Medicine, Shihezi University), Shihezi, China.
Jianming HuNHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases (First Affiliated Hospital, School of Medicine, Shihezi University), Shihezi, China.ORCID https://orcid.org/0000-0001-7790-7979
Lianghai WangNHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases (First Affiliated Hospital, School of Medicine, Shihezi University), Shihezi, China.
Jinfang JiangNHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases (First Affiliated Hospital, School of Medicine, Shihezi University), Shihezi, China.
Xihua ShenNHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases (First Affiliated Hospital, School of Medicine, Shihezi University), Shihezi, China.
Lijuan PangNHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases (First Affiliated Hospital, School of Medicine, Shihezi University), Shihezi, China.ORCID https://orcid.org/0000-0003-3091-0323
Shihezi University · CN

Funding

International Science and Technology Cooperation Promotion Plan of Shihezi University (GJHZ201805)the Non-profit Central Research Institute Fund of Chinese Academy of  Medical Sciences (2020-PT330-003)the Youth Science and Technology Innovation Leading Talents Project of Corps (2017CB004)Xinjiang Autonomous Region Postgraduate Research and Innovation Project (XJ2020G120)Xinjiang Production and Construction Corps Key Areas Innovation Team Project (2018CB002)
6 · The paper itself

Abstract

backgroundThe possible regulatory mechanism of MIR31HG in human cancers remains unclear, and reported results of the prognostic significance of MIR31HG expression are inconsistent.

methodsThe meta-analysis and related bioinformatics analysis were conducted to evaluate the role of MIR31HG in tumor progression.

resultsThe result showed that high MIR31HG expression was not related to prognosis. However, in the stratified analysis, we found that the overexpression of MIR31HG resulted in worse OS, advanced TNM stage, and tumor differentiation in respiratory system cancers. Moreover, our results also found that MIR31HG overexpression was related to shorter OS in cervical cancer patients and head and neck tumors. In contrast, the MIR31HG was lower in digestive system tumors which contributed to shorter overall survival, advanced TNM stage, and distant metastasis. Furthermore, the bioinformatics analysis showed that MIR31HG was highly expressed in normal urinary bladder, small intestine, esophagus, stomach, and duodenum and low in colon, lung, and ovary. The results obtained from FireBrowse indicated that MIR31HG was highly expressed in LUSC, CESC, HNSC, and LUAD and low in STAD and BLCA. Gene Ontology analysis showed that the co-expressed genes of MIR31HG were most enriched in the biological processes of peptide metabolism and KEGG pathways were most enriched in Ras, Rap1, and PI3K-Akt signaling pathway.

conclusionMIR31HG may serve as a potential biomarker in human cancers.

Indexed as

NeoplasmsRNA, Long NoncodingFemaleHumansMalePrognosisSignal Transductionlong noncoding RNA MIR31HG, humanRNA, Long Noncodingbioinformatics analysiscancermeta-analysisMIR31HGprognostic biomarker

Identifiers

PMID34837713
PMCPMC8761471
OpenAlexW3216872993

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.