Evidence map›Paper›PMID 38774628›Full record

ArticleFrontiers in cellular and infection microbiology2024

Untargeted metabolomics in gastric and colorectal cancer patients - preliminary results.

Karolina Kaźmierczak-Siedlecka, Damian Muszyński, Daniel Styburski, Jakub Makarewicz, Bartosz Kamil Sobocki, Paweł Ulasiński, Karol Połom, Ewa Stachowska, Karolina Skonieczna-Żydecka, Leszek Kalinowski

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In one paragraph

Article in Frontiers in cellular and infection microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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

10 authors.

Karolina Kaźmierczak-SiedleckaDepartment of Medical Laboratory Diagnostics - Fahrenheit Biobank BBMRI.pl, Medical University of Gdansk, Gdansk, Poland.
Damian MuszyńskiScientific Circle of Studies Regarding Personalized Medicine Associated with Department of Medical Laboratory Diagnostics, Medical University of Gdansk, Gdansk, Poland.
Daniel StyburskiSanprobi Sp. z o. o., Szczecin, Poland.
Jakub MakarewiczScientific Circle of Studies Regarding Personalized Medicine Associated with Department of Medical Laboratory Diagnostics, Medical University of Gdansk, Gdansk, Poland.
Bartosz Kamil SobockiDepartment of Oncology and Radiotherapy, Medical University of Gdansk, Gdansk, Poland.
Paweł UlasińskiUnit of Surgery with Unit of Surgery with Unit of Oncological Surgery, Specialist Hospital in Koscierzyna, Koscierzyna, Poland.
Karol PołomAcademy of Medical and Social Applied Sciences, Elbląg, Poland.
Ewa StachowskaDepartment of Human Nutrition and Metabolomics, Pomeranian Medical University in Szczecin, Szczecin, Poland.
Karolina Skonieczna-ŻydeckaDepartment of Biochemical Research, Pomeranian Medical University in Szczecin, Szczecin, Poland.
Leszek KalinowskiDepartment of Medical Laboratory Diagnostics - Fahrenheit Biobank BBMRI.pl, Medical University of Gdansk, Gdansk, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Recent years, microbiota-associated aspects have been analysed in multiple disorders regarding cancers. Existing evidence pints that gut microorganisms might take part in tumour origin and therapy efficacy. Nevertheless, to date, data on faecal metabolomics in cancer patients is still strongly limited. Therefore, we aimed to analyse gut untargeted metabolome in gastrointestinal cancer patients (i.e., gastric and colorectal cancer). Patients and methods: There were 12 patients with either gastric (n=4) or colorectal cancer (n=8) enrolled and 8 analysed (n=4 each). Stool samples were collected prior to anti-cancer treatments. Untargeted metabolomics analyses were conducted by means of mass spectrometry. Results: A plethora of metabolites in cancer patients we analysed were noted, with higher homogenity in case of gastric cancer patients. We found that the level of Deoxyguanosine,m/z 266.091,[M-H]-, Uridine,m/z 245.075,[M+H]+, Deoxyguanosine,m/z 268.104,[M]+, 3-Indoleacetic acid,m/z 176.07,[M+H]+, Indoxyl,m/z 132.031,[M-H]-, L-Phenylalanine,m/z 164.073,[M-H]-, L-Methionine,m/z 150.058,[M+NH4]+, was significantly higher in colorectal cancer patients and Ethyl hydrogen malonate,m/z 133.031,[M+H]+ in gastric cancer. Conclusion: The overall insights into untargeted metabolomics showed that most often higher levels of analysed metabolites were detected in colorectal cancer patients compared to gastric cancer patients. The link between gut metabolome and both local and distal metastasis might exist, however it requires confirmation in further multi-centre studies regarding larger sample size.

Indexed as

Colorectal NeoplasmsFecesGastrointestinal MicrobiomeMetabolomeMetabolomicsStomach NeoplasmsAgedFemaleHumansMaleMass SpectrometryMiddle Agedcolorectal cancergastric cancergut microbiomemicrobiota-derived metabolitesuntargeted metabolomics

Identifiers

PMID38774628
PMCPMC11106370

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