Evidence map›Paper›PMID 31828117›Full record

ArticleBioMed research international2019

Integrative Analysis Reveals Comprehensive Altered Metabolic Genes Linking with Tumor Epigenetics Modification in Pan-Cancer.

Yahui Shi, Jinfen Wei, Zixi Chen, Yuchen Yuan, Xingsong Li, Yanyu Zhang, Yuhuan Meng, Yumin Hu, Hongli Du

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
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  4. Review
  5. Review
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

9 authors at 2 institutions in 1 country.

Yahui ShiSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China.
Jinfen WeiSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China.
Zixi ChenSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China.
Yuchen YuanSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China.
Xingsong LiSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China.ORCID https://orcid.org/0000-0003-3624-8334
Yanyu ZhangSun Yet-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, Guangdong, China.
Yuhuan MengSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China.
Yumin HuSun Yet-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, Guangdong, China.
Hongli DuSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China.ORCID https://orcid.org/0000-0002-6419-0160
South China University of Technology · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCancer cells undergo various rewiring of metabolism and dysfunction of epigenetic modification to support their biosynthetic needs. Although the major features of metabolic reprogramming have been elucidated, the global metabolic genes linking epigenetics were overlooked in pan-cancer.

objectivesIdentifying the critical metabolic signatures with differential expressions which contributes to the epigenetic alternations across cancer types is an urgent issue for providing the potential targets for cancer therapy.

methodThe differential gene expression and DNA methylation were analyzed by using the 5726 samples data from the Cancer Genome Atlas (TCGA).

resultsFirstly, we analyzed the differential expression of metabolic genes and found that cancer underwent overall metabolism reprogramming, which exhibited a similar expression trend with the data from the Gene Expression Omnibus (GEO) database. Secondly, the regulatory network of histone acetylation and DNA methylation according to altered expression of metabolism genes was summarized in our results. Then, the survival analysis showed that high expression of

conclusionsOur research clarifies some key metabolic genes,

Indexed as

Databases, GeneticDNA MethylationDNA, NeoplasmEpigenesis, GeneticGene Expression Regulation, NeoplasticNeoplasm ProteinsNeoplasmsHumansDNA, NeoplasmNeoplasm Proteins

Identifiers

PMID31828117
PMCPMC6881592
OpenAlexW2986637118

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.