Evidence map›Paper›PMID 35515291›Full record

ArticleRSC advances2019

Discovery of potential therapeutic targets for non-small cell lung cancer using high-throughput metabolomics analysis based on liquid chromatography coupled with tandem mass spectrometry.

Hong-Dan Xu, Wen Luo, Yuanlong Lin, Jiawen Zhang, Lijuan Zhang, Wei Zhang, Shu-Ming Huang

Open access · goldAbstract read
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Article in RSC advances, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 48% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
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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

7 authors at 3 institutions in 2 countries.

Hong-Dan XuCollege of Jiamusi, Heilongjiang University of Chinese Medicine Jiamusi 154007 China.
Wen LuoDepartment of Respiratory and Critical Care, First Affiliated Hospital, Harbin Medical University Harbin 150081 China weipoza@163.com +86-451-85555787 +86-451-85555787.
Yuanlong LinInfectious Diseases Department, Fourth Affiliated Hospital, Harbin Medical University Harbin China.
Jiawen ZhangDepartment of Respiratory and Critical Care, First Affiliated Hospital, Harbin Medical University Harbin 150081 China weipoza@163.com +86-451-85555787 +86-451-85555787.
Lijuan ZhangDepartment of Respiratory and Critical Care, First Affiliated Hospital, Harbin Medical University Harbin 150081 China weipoza@163.com +86-451-85555787 +86-451-85555787.
Wei ZhangDepartment of Respiratory and Critical Care, First Affiliated Hospital, Harbin Medical University Harbin 150081 China weipoza@163.com +86-451-85555787 +86-451-85555787.ORCID https://orcid.org/0000-0003-2316-0114
Shu-Ming HuangInstitute of Chinese Medicine, Heilongjiang University of Medicine Chinese Heping Road 24, Xiangfang District Harbin 150040 China shmetabolites78@163.com +86-451-87266816.
Harbin Medical University · CNHarbin University · CNJiamusi University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer is a severe health problem and threatens a patient's quality of life. The metabolites present in biological systems are expected to be key mediators and the changes in these metabolites play an important role in promoting health. Metabolomics can unravel the global metabolic changes and identify significant biological pathways involved in disease development. However, the role of metabolites in lung cancer is still largely unknown. In the present study, we developed a liquid chromatography coupled with tandem mass spectrometry method for biomarker discovery and identification of non-small cell lung cancer (NSCLC) from metabolomics data sets and aimed to investigate the metabolic profiles of NSCLC samples to identify potential disease biomarkers and to reveal the pathological mechanism. After cell metabolite extraction, the metabolic changes in NSCLC cells were characterized and targeted metabolite analysis was adopted to offer a novel opportunity to probe into the relationship between differentially regulated cell metabolites and NSCLC. Quantitative analysis of key enzymes in the disturbed pathways by proteomics was employed to verify metabolomic pathway changes. A total of 13 specific biomarkers were identified in NSCLC cells related with metabolic disturbance of NSCLC morbidity, which were involved in 4 vital pathways, namely glycine, serine and threonine metabolism, aminoacyl-tRNA biosynthesis, tyrosine metabolism and sphingolipid metabolism. The proteomics analysis illustrated the obvious fluctuation of the expression of the key enzymes in these pathways, including the downregulation of 3-phosphoglycerate dehydrogenase, phosphoserine phosphatase, tyrosinase and argininosuccinic acid catenase. NSCLC occurrence is mainly related to amino acid and fatty acid metabolic alteration. These findings highlight that the metabolome can provide information on the molecular profiles of cells, which can aid in investigating the metabolite changes to reveal the pathological mechanism.

Identifiers

PMID35515291
PMCPMC9062476
OpenAlexW2928770547

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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.