Evidence map›Paper›PMID 31248049›Full record

ArticleMolecules (Basel, Switzerland)2019

The Metabolomic Profile of Lymphoma Subtypes: A Pilot Study.

Luigi Barberini, Antonio Noto, Claudia Fattuoni, Giannina Satta, Mariagrazia Zucca, Maria Giuseppina Cabras, Ester Mura, Pierluigi Cocco

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

23 citing papers in PubMed, 33 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

8 authors at 1 institution in 1 country.

Luigi BarberiniDepartment of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy. barberini@unica.it.
Antonio NotoDepartment of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy. antonionoto@unica.it.
Claudia FattuoniDepartment of Chemical and Geological Sciences, University of Cagliari, Cagliari, Italy. cfattuon@unica.it.
Giannina SattaDepartment of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy. gianninasatta@tiscali.it.
Mariagrazia ZuccaDepartment of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy. mzucca@unica.it.
Maria Giuseppina CabrasDepartment of Hematology, A. Businco Oncology Hospital, Cagliari, Italy. cabras.giuseppina@tiscali.it.
Ester MuraDepartment of Hematology, A. Businco Oncology Hospital, Cagliari, Italy. emura@hotmail.it.
Pierluigi CoccoDepartment of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy. pcocco@unica.it.
University of Cagliari · IT

Funding

Associazione Italiana per la Ricerca sul Cancro IG 2011/11855
6 · The paper itself

Abstract

Lymphoma defines a group of different diseases. This study examined pre-treatment plasma samples from 66 adult patients (aged 20-74) newly diagnosed with any lymphoma subtype, and 96 frequency matched population controls. We used gas chromatography-mass spectrometry (GC-MS) to compare the metabolic profile by case/control status and across the major lymphoma subtypes. We conducted univariate and multivariate analyses, and partial least square discriminant analysis (PLS-DA). When compared to the controls, statistically validated models were obtained for diffuse large B-cell lymphoma (DLBCL), chronic lymphocytic leukemia (CLL), multiple myeloma (MM), and Hodgkin lymphoma (HL), but not follicular lymphoma (FL). The metabolomic analysis highlighted interesting differences between lymphoma patients and population controls, allowing the discrimination between pathologic and healthy subjects: Important metabolites, such as hypoxanthine and elaidic acid, were more abundant in all lymphoma subtypes. The small sample size of the individual lymphoma subtypes prevented obtaining PLS-DA validated models, although specific peculiar features of each subtype were observed; for instance, fatty acids were most represented in MM and HL patients, while 2-aminoadipic acid, 2-aminoheptanedioic acid, erythritol, and threitol characterized DLBCL and CLL. Metabolomic analysis was able to highlight interesting differences between lymphoma patients and population controls, allowing the discrimination between pathologic and healthy subjects. Further studies are warranted to understand whether the peculiar metabolic patterns observed might serve as early biomarkers of lymphoma.

Indexed as

MetabolomeMetabolomicsAgedFemaleGas Chromatography-Mass SpectrometryHumansLymphomaMaleMiddle AgedPilot Projectselaidic acidGC-MShypoxanthinelymphomametabolomicsplasma

Identifiers

PMID31248049
PMCPMC6650891
OpenAlexW2955164320

What OpenQuestion holds

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LicenceCC BY
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.