Evidence map›Paper›PMID 31934014›Full record

ArticleInternational journal of clinical and experimental pathology2019

A high expression of MTERF3 correlates with tumor progression and predicts poor outcomes in patients with brain glioma.

Jiaji Zi, Weisi Wang, Meitao Sun, Wen Mei, Sufen Li, Bin Li, Yang Xiao, Zaiyi Fei, Ruopeng Zhang, Min Yu and 1 more

Open access · greenAbstract read
In one paragraph

Article in International journal of clinical and experimental pathology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.5field-weighted citation impact, top 39% 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, 14 citations in OpenAlex.

  1. Article
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  6. Mitochondria transcription and cancer.Cell death discovery · 2024
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  10. Human Mitoribosome Biogenesis and Its Emerging Links to Disease.International journal of molecular sciences · 2021
    Review
  11. High expression of theJournal of gastrointestinal oncology · 2020
    Article
  12. Article
  13. Expression ofTranslational cancer research · 2020
    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

11 authors at 2 institutions in 1 country.

Jiaji ZiCollege of Basic Medical Sciences, Dali University Dali, Yunnan Province, China.
Weisi WangCollege of Basic Medical Sciences, Dali University Dali, Yunnan Province, China.
Meitao SunCollege of Basic Medical Sciences, Dali University Dali, Yunnan Province, China.
Wen MeiCollege of Basic Medical Sciences, Dali University Dali, Yunnan Province, China.
Sufen LiCollege of Basic Medical Sciences, Dali University Dali, Yunnan Province, China.
Bin LiCollege of Basic Medical Sciences, Dali University Dali, Yunnan Province, China.
Yang XiaoCollege of Basic Medical Sciences, Dali University Dali, Yunnan Province, China.
Zaiyi FeiSchool of Life Sciences, Yunnan University Kunming, Yunnan Province, China.
Ruopeng ZhangDepartment of Reproductive Medicine, The First Affiliated Hospital of Dali University Dali, Yunnan Province, China.
Min YuSchool of Life Sciences, Yunnan University Kunming, Yunnan Province, China.
Wei XiongCollege of Basic Medical Sciences, Dali University Dali, Yunnan Province, China.
Yunnan University · CNDali University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mitochondrial transcription termination factor 3 (MTERF3) is a negative regulator of mitochondrial transcription. MTERF3 is overexpressed in liver cancer, pancreatic cancer, lung cancer, and breast cancer. However, whether MTERF3 is up-regulated in brain glioma is still unclear. The aim of this study was to investigate the expression and clinicopathological significance of MTERF3 in brain glioma and to analyze its potential prognostic value in brain glioma. Immunohistochemistry, Western blot, and a semi-quantitative RT-PCR were performed to analyze the protein and mRNA expression levels of MTERF3 in 28 human brain glioma tissues and 10 noncancerous brain tissues. The expression data of MTERF3 and its clinical information in brain glioma were downloaded from the TCGA dataset using R 2.15.3 software. The relationship between the expression of MTERF3 and its clinicopathological characteristics and its prognostic value was analyzed. A Cox regression model was used for a multivariate analysis of the factors affecting the prognosis of brain glioma. The immunohistochemistry results showed that the MTERF3 protein is located in the cytoplasm, and the positive expression rate of the MTERF3 protein in brain glioma tissues is 64.29%. We found that the positive expression rate of the MTERF3 protein in high-grade glioma tissues (81.25%) is higher than it is in low-grade glioma tissues (41.67%). The expression levels of the MTERF3 mRNA and protein in brain glioma tissues are significantly higher than they are in the noncancerous brain tissues. Moreover, the expression of MTERF3 is significantly correlated with age, tumor type, and pathological classification (

Indexed as

brain gliomaimmunohistochemistryMTERF3prognosisTCGA dataset

Identifiers

PMID31934014
PMCPMC6947131
OpenAlexW3010198302

What OpenQuestion holds

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Registered trials

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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.