Evidence map›Paper›PMID 31597357›Full record

ArticleCells2019

Comprehensive Multi-Omics Analysis Reveals Aberrant Metabolism of Epstein-Barr-Virus-Associated Gastric Carcinoma.

Sang Jun Yoon, Jun Yeob Kim, Nguyen Phuoc Long, Jung Eun Min, Hyung Min Kim, Jae Hee Yoon, Nguyen Hoang Anh, Myung Chan Park, Sung Won Kwon, Suk Kyeong Lee

Open access · goldAbstract read
In one paragraph

Article in Cells, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.5field-weighted citation impact, top 20% 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

20 citing papers in PubMed, 36 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

10 authors at 2 institutions in 1 country.

Sang Jun YoonCollege of Pharmacy, Seoul National University, Seoul 08826, Korea. supercanboy@snu.ac.kr.
Jun Yeob KimDepartment of Medical Life Sciences, Department of Biomedicine & Health Sciences, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea. kjygod1@catholic.ac.kr.
Nguyen Phuoc LongCollege of Pharmacy, Seoul National University, Seoul 08826, Korea. phuoclong@snu.ac.kr.
Jung Eun MinCollege of Pharmacy, Seoul National University, Seoul 08826, Korea. mje0107@snu.ac.kr.
Hyung Min KimCollege of Pharmacy, Seoul National University, Seoul 08826, Korea. snuhmkim04@snu.ac.kr.
Jae Hee YoonDepartment of Medical Life Sciences, Department of Biomedicine & Health Sciences, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea. yjh823@catholic.ac.kr.
Nguyen Hoang AnhCollege of Pharmacy, Seoul National University, Seoul 08826, Korea. 2018-23140@snu.ac.kr.
Myung Chan ParkDepartment of Medical Life Sciences, Department of Biomedicine & Health Sciences, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea. pmcreg@catholic.ac.kr.
Sung Won KwonCollege of Pharmacy, Seoul National University, Seoul 08826, Korea. swkwon@snu.ac.kr.
Suk Kyeong LeeDepartment of Medical Life Sciences, Department of Biomedicine & Health Sciences, College of Medicine, The Catholic University of Korea, Seoul 06591, Korea. sukklee@catholic.ac.kr.
Seoul National University · KRCatholic University of Korea · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The metabolic landscape of Epstein-Barr-virus-associated gastric cancer (EBVaGC) remains to be elucidated. In this study, we used transcriptomics, metabolomics, and lipidomics to comprehensively investigate aberrant metabolism in EBVaGC. Specifically, we conducted gene expression analyses using microarray-based data from gastric adenocarcinoma epithelial cell lines and tissue samples from patients with clinically advanced gastric carcinoma. We also conducted complementary metabolomics and lipidomics using various mass spectrometry platforms. We found a significant downregulation of genes related to metabolic pathways, especially the metabolism of amino acids, lipids, and carbohydrates. The effect of dysregulated metabolic genes was confirmed in a survival analysis of 3951 gastric cancer patients. We found 57 upregulated metabolites and 31 metabolites that were downregulated in EBVaGC compared with EBV-negative gastric cancer. Sixty-nine lipids, mainly ether-linked phospholipids and triacylglycerols, were downregulated, whereas 45 lipids, mainly phospholipids, were upregulated. In total, 15 metabolisms related to polar metabolites and 15 lipid-associated pathways were involved in alteration of metabolites by EBV in gastric cancer. In this work, we have described the metabolic landscape of EBVaGC at the multi-omics level. These findings could help elucidate the mechanism of EBVaGC oncogenesis.

Indexed as

MetabolomeTranscriptomeAdenocarcinomaCell Line, TumorEpstein-Barr Virus InfectionsFemaleGene Expression Regulation, NeoplasticHumansMaleMass SpectrometryStomach Neoplasmscancer metabolismEpstein–Barr-virus-associated gastric cancerlipidomicsmetabolomicstranscriptomics

Identifiers

PMID31597357
PMCPMC6829863
OpenAlexW2979761758

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.