Evidence map›Paper›PMID 31264112›Full record

ArticleClinical and experimental medicine2019

Serum lipidome screening in patients with stage I non-small cell lung cancer.

Agnieszka Klupczynska, Szymon Plewa, Mariusz Kasprzyk, Wojciech Dyszkiewicz, Zenon J Kokot, Jan Matysiak

Open access · hybridAbstract read
In one paragraph

Article in Clinical and experimental medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

28 citing papers in PubMed, 44 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. [Research Progress on Tumor Metabolic Biomarkers in Liquid Biopsy of Lung Cancer].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2024
    Review
  8. Review
  9. Review
  10. Article
  11. Article
  12. Review
  13. Bilayer Forming Phospholipids as Targets for Cancer Therapy.International journal of molecular sciences · 2022
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Applications of Lipidomics in Tumor Diagnosis and Therapy.Advances in experimental medicine and biology · 2021
    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

6 authors at 1 institution in 1 country.

Agnieszka KlupczynskaDepartment of Inorganic and Analytical Chemistry, Poznan University of Medical Sciences, Grunwaldzka 6 Street, 60-780, Poznan, Poland. aklupczynska@ump.edu.pl.ORCID http://orcid.org/0000-0002-5028-1408
Szymon PlewaDepartment of Inorganic and Analytical Chemistry, Poznan University of Medical Sciences, Grunwaldzka 6 Street, 60-780, Poznan, Poland.
Mariusz KasprzykDepartment of Thoracic Surgery, Poznan University of Medical Sciences, Szamarzewskiego 62 Street, 60-569, Poznan, Poland.
Wojciech DyszkiewiczDepartment of Thoracic Surgery, Poznan University of Medical Sciences, Szamarzewskiego 62 Street, 60-569, Poznan, Poland.
Zenon J KokotDepartment of Inorganic and Analytical Chemistry, Poznan University of Medical Sciences, Grunwaldzka 6 Street, 60-780, Poznan, Poland.
Jan MatysiakDepartment of Inorganic and Analytical Chemistry, Poznan University of Medical Sciences, Grunwaldzka 6 Street, 60-780, Poznan, Poland.
Poznan University of Medical Sciences · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ability of early lung cancer diagnosis is an unmet need in clinical practice. Lung cancer metabolomic analyses conducted so far have demonstrated several abnormalities in cancer lipid profile providing a rationale for further study of blood lipidome of the patients. In the present research, we performed a targeted lipidome screening to select molecules that show promise for early lung cancer detection. The study was conducted on serum samples collected from newly diagnosed, stage I non-small cell lung cancer (NSCLC) patients and non-cancer controls. A high-throughput mass spectrometry-based platform with confirmed interlaboratory reproducibility was used. The analyzed profile consisted of acylcarnitines, sphingomyelins, phosphatidylcholines and lysophosphatidylcholines. Among the assayed lipid species, the significant differences between NSCLC and non-cancer subjects were observed in the group of phosphatidylcholines (PC) and lysophosphatidylcholines (lysoPC), especially in the levels of lysoPC a C26:0; lysoPC a C26:1; PC aa C42:4; and PC aa C34:4. The metabolites mentioned above were used to create a multivariate classification model, which reliability was proved by permutation tests as well as external validation. Our study indicated choline-containing phospholipids as potential lung cancer markers. Further investigations of phospholipidome are crucial to better describe the shifts in metabolite composition occurring in lung cancer patients.

Indexed as

AgedBiomarkers, TumorCarcinoma, Non-Small-Cell LungCase-Control StudiesEarly Detection of CancerFemaleHumansLipidomicsLung NeoplasmsLysophosphatidylcholinesMaleMiddle AgedMultivariate AnalysisPhosphatidylcholinesBiomarkers, TumorLysophosphatidylcholinesPhosphatidylcholinesEarly diagnosisLipidomicsLung cancerMass spectrometryMetabolomicsPhospholipids

Identifiers

PMID31264112
PMCPMC6797644
OpenAlexW2954801519

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.