Evidence map›Paper›PMID 42536083›Full record

ArticleTechnology in cancer research & treatment

Metabolomic Characteristics of Patients With Non-Small Cell Lung Cancer in Plasma, Tissue and Exhaled Breath Condensate: A Case-Control Study.

Dewei Li, Shuting Yang, Ling Zhang, Lingling Dong, Yueeryeti Sailai, Limin Yao, Chengyu Jin, Xuemei Wei

Abstract read
In one paragraph

Article in Technology in cancer research & treatment. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Dewei LiCenter of Respiratory and Critical Care Medicine, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, China.ORCID 0000-0002-9429-3881
Shuting YangClinical Laboratory Center, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, China.
Ling ZhangCenter of Respiratory and Critical Care Medicine, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, China.
Lingling DongCenter of Respiratory and Critical Care Medicine, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, China.
Yueeryeti SailaiCenter of Respiratory and Critical Care Medicine, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, China.
Limin YaoCenter of Respiratory and Critical Care Medicine, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, China.
Chengyu JinDepartment of Thoracic Surgery, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, China.
Xuemei WeiCenter of Respiratory and Critical Care Medicine, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

IntroductionLung cancer is a malignant tumor with high global incidence and mortality. Early screening and diagnosis can substantially extend patient survival, yet achieving this remains a challenging objective.MethodsWe collected tissue and plasma samples from patients with benign pulmonary nodules and non-small cell lung cancer (NSCLC). Exhaled breath condensate (EBC) samples were obtained from these patients using a breath condenser. Differential metabolites were identified in samples from 22 NSCLC patients and 20 benign controls by means of ultra-performance liquid chromatography-high resolution mass spectrometry-based untargeted metabolomics.ResultsSeveral differential metabolites overlapped between plasma and tissue samples. Further analysis indicated that the differential metabolites from all three sample types participated in central carbon metabolism in cancer, protein digestion and absorption, and aminoacyl-tRNA biosynthesis. ROC curve analysis of plasma and tissue metabolites showed that each of the top 10 upregulated and downregulated metabolites yielded AUC values greater than 0.8. In EBC, only 29 differential metabolites were detected. Among these, lysine, acetildenafil, and 1-(cyclohexylmethyl) proline may be involved in the progression of NSCLC.ConclusionThis study identified distinctive metabolic markers in plasma, tissue, and EBC from NSCLC patients. However, the purpose of this observational study was merely exploratory, rather than to use these differential metabolites as a diagnostic test for non-small cell lung cancer.

Indexed as

Biomarkers, TumorCarcinoma, Non-Small-Cell LungLung NeoplasmsMetabolomeMetabolomicsAgedBreath TestsCase-Control StudiesExhalationFemaleHumansMaleMiddle AgedROC CurveBiomarkers, Tumorexhaled breath condensate (EBC)non-small cell lung cancer (NSCLC)plasmatissueuntargeted metabolomics

Identifiers

PMID42536083
PMCPMC13428115

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.