Evidence map›Paper›PMID 28168355›Full record

ArticleJournal of cancer research and clinical oncology2017

Study of early stage non-small-cell lung cancer using Orbitrap-based global serum metabolomics.

Agnieszka Klupczynska, Paweł Dereziński, Timothy J Garrett, Vanessa Y Rubio, Wojciech Dyszkiewicz, Mariusz Kasprzyk, Zenon J Kokot

Abstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

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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.

Agnieszka KlupczynskaDepartment of Inorganic and Analytical Chemistry, Poznan University of Medical Sciences, Grunwaldzka 6 Street, 60-780, Poznan, Poland.
Paweł DerezińskiDepartment of Inorganic and Analytical Chemistry, Poznan University of Medical Sciences, Grunwaldzka 6 Street, 60-780, Poznan, Poland.
Timothy J GarrettDepartment of Pathology, Immunology and Laboratory Medicine, College of Medicine, University of Florida, 1395 Center Drive, Gainesville, FL, 32610, USA.
Vanessa Y RubioDepartment of Pathology, Immunology and Laboratory Medicine, College of Medicine, University of Florida, 1395 Center Drive, Gainesville, FL, 32610, USA.
Wojciech DyszkiewiczDepartment of Thoracic Surgery, Poznan University of Medical Sciences, Szamarzewskiego 62 Street, 60-569, Poznan, Poland.
Mariusz KasprzykDepartment 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. zkokot@ump.edu.pl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe aim of the project was to apply ultra-high-performance liquid chromatography-quadrupole-Orbitrap-high-resolution mass spectrometry for serum metabolite profiling of non-small-cell lung cancer (NSCLC). This Orbitrap-based methodology has been applied for a study of NSCLC potential markers for the first time.

methodsAfter extraction using protein precipitation, sera were separated on the ACE Excel 2 C18-PFP (100 × 2.1 mm, 2.0 µm) column using gradient elution and analyzed within the range of 70-1000 m/z. Only patients with early stage disease (stages IA-IIB) were included in the study, providing opportunity to find biomarkers for early lung cancer detection. The resulting metabolite profiles were subjected to univariate and multivariate statistical tests.

results36 features were found significantly changed between NSCLC group and controls after FDR adjustment and 19 were identified using various metabolite databases (in-house library, HMDB, mzCloud). The study revealed a number of NSCLC biomarker candidates which belong to such compound classes as acylcarnitines, organic acids, and amino acids. Multivariate ROC curve built using 12 identified metabolites was characterized by AUC = 0.836 (0.722-0.946). There were no significant differences in the serum metabolite profiles between two most common histological types of lung cancer-adenocarcinoma and squamous cell carcinoma.

conclusionsThrough identification of novel potential tumor markers, Orbitrap-based global metabolic profiling is a useful strategy in cancer research. Our study can accelerate development of new diagnostic and therapeutic strategies in NSCLC. The metabolites involved in discrimination between NSCLC patients and the control subjects should be further explored using a targeted approach.

Indexed as

MetabolomicsAgedAged, 80 and overCarcinoma, Non-Small-Cell LungChromatography, High Pressure LiquidFemaleHumansLung NeoplasmsMaleMass SpectrometryGlobal metabolomicsLung cancerMass spectrometryMetabolite profilingOrbitrap

Identifiers

PMID28168355
PMCPMC5352735

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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.