Evidence map›Paper›PMID 35546342›Full record

ArticleScientific reports2022

Changes in the urine volatile metabolome throughout growth of transplanted hepatocarcinoma.

M Yu Kochevalina, A B Bukharina, V G Trunov, A V Pento, O V Morozova, G A Kogun', Ya O Simanovsky, S M Nikiforov, E I Rodionova

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 50% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Review
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

9 authors at 3 institutions in 1 country.

M Yu KochevalinaKharkevich Institute for Information Transmission Problems, Russian Academy of Sciences, Moscow, Russia.
A B BukharinaProkhorov General Physics Institute of the Russian Academy of Sciences, Moscow, Russia.
V G TrunovKharkevich Institute for Information Transmission Problems, Russian Academy of Sciences, Moscow, Russia.
A V PentoProkhorov General Physics Institute of the Russian Academy of Sciences, Moscow, Russia.
O V MorozovaN.N. Blokhin National Medical Research Center of Oncology, Ministry of Health of the Russian Federation, Moscow, Russia.
G A Kogun'Cynological Division of Aviation Security Service, Aeroflot, Russian Airlines, Moscow, Russia.
Ya O SimanovskyProkhorov General Physics Institute of the Russian Academy of Sciences, Moscow, Russia.
S M NikiforovProkhorov General Physics Institute of the Russian Academy of Sciences, Moscow, Russia.
E I RodionovaKharkevich Institute for Information Transmission Problems, Russian Academy of Sciences, Moscow, Russia. a.rodionova@gmail.com.
Prokhorov General Physics Institute · RUInstitute for Information Transmission Problems · RUMinistry of Health of the Russian Federation · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Trained detection dogs distinguish between urine samples from healthy organisms and organisms with malignant tumors, suggesting that the volatile urine metabolome contains information about tumor progression. The aim of this study was to determine whether the stage of tumor growth affects the chemical differences in the urine of mice and to what extent the "olfactory image of disease" perceived by dogs coincides with the "image of disease" recorded by the mass spectrometer. We used a novel laser ionization mass spectrometry method and propose a mass spectrometric analysis without detailed interpretation of the spectrum of volatile metabolomes in urine. The mass spectrometer we use works without sample preparation and registers volatile organic compounds in air at room temperature without changing the pH of the sample, i.e. under conditions similar to those in which dogs solve the same problem. The experimental cancer models were male BDF-f1 hybrid mice transplanted with hepatocarcinoma tissue, and similar mice transplanted with healthy liver tissue were used as controls. Our data show that both dogs and our proposed laser mass spectrometry method are able to detect both the entire spectrum of volatile organic compounds associated with the disease and minor changes in this spectrum during its course.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsVolatile Organic CompoundsAnimalsDogsFemaleMaleMetabolomeSmellVolatile Organic Compounds

Identifiers

PMID35546342
PMCPMC9095867
OpenAlexW4280547006

What OpenQuestion holds

Textmetadata
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.