Evidence map›Paper›PMID 39456684›Full record

ArticleInternational journal of molecular sciences2024

Metabolomic Analysis of Histological Composition Variability of High-Grade Serous Ovarian Cancer Using

Agnieszka Skorupa, Mateusz Klimek, Mateusz Ciszek, Sławomir Pakuło, Tomasz Cichoń, Bartosz Cichoń, Łukasz Boguszewicz, Andrzej Witek, Maria Sokół

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Use of Nuclear Magnetic Resonance (NMR) to Study Cancer Metabolism.Advances in experimental medicine and biology · 2026
    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.

Agnieszka SkorupaDepartment of Medical Physics, Maria Skłodowska-Curie National Research Institute of Oncology, Gliwice Branch, 44-102 Gliwice, Poland.ORCID 0000-0002-3399-7359
Mateusz KlimekDepartment of Gynecology, Obstetrics and Oncological Gynecology, Faculty of Medicine in Katowice, Medical University of Silesia, 40-752 Katowice, Poland.
Mateusz CiszekDepartment of Medical Physics, Maria Skłodowska-Curie National Research Institute of Oncology, Gliwice Branch, 44-102 Gliwice, Poland.ORCID 0000-0003-2033-2478
Sławomir PakułoTumor Pathology Department, Maria Skłodowska-Curie National Research Institute of Oncology, Gliwice Branch, 44-102 Gliwice, Poland.ORCID 0000-0001-6160-9651
Tomasz CichońDepartment of Gynecology, Obstetrics and Oncological Gynecology, Faculty of Medicine in Katowice, Medical University of Silesia, 40-752 Katowice, Poland.
Bartosz CichońDepartment of Gynecology, Obstetrics and Oncological Gynecology, Faculty of Medicine in Katowice, Medical University of Silesia, 40-752 Katowice, Poland.ORCID 0000-0003-1412-0997
Łukasz BoguszewiczDepartment of Medical Physics, Maria Skłodowska-Curie National Research Institute of Oncology, Gliwice Branch, 44-102 Gliwice, Poland.ORCID 0000-0002-9460-837X
Andrzej WitekDepartment of Gynecology, Obstetrics and Oncological Gynecology, Faculty of Medicine in Katowice, Medical University of Silesia, 40-752 Katowice, Poland.
Maria SokółDepartment of Medical Physics, Maria Skłodowska-Curie National Research Institute of Oncology, Gliwice Branch, 44-102 Gliwice, Poland.

Funding

Ministry of Science and Higher Education PCN-2-004/N/1/ONational Science Center 2023/49/B/NZ5/02838
6 · The paper itself

Abstract

In this work, the HR MAS NMR (high-resolution magic-angle spinning nuclear magnetic resonance) spectroscopy technique was combined with standard histological examinations to investigate the metabolic features of high-grade serous ovarian cancer (HGSOC) with a special focus on the relation between a metabolic profile and a cancer cell fraction. The studied group consisted of 44 patients with HGSOC and 18 patients with benign ovarian tumors. Normal ovarian tissue was also excised from 13 control patients. The metabolic profiles of 138 tissue specimens were acquired on a Bruker Avance III 400 MHz spectrometer. The NMR spectra of the HGSOC samples could be discriminated from those acquired from the non-transformed tissue and were shown to depend on tumor purity. The most important features that differentiate the samples with a high fraction of cancer cells from the samples containing mainly fibrotic stroma are the increased intensities in the spectral regions corresponding to phosphocholine/glycerophosphocholine, phosphoethanolamine/serine, threonine, uridine nucleotides and/or uridine diphosphate (UDP) nucleotide sugars. Higher levels of glutamine, glutamate, acetate, lysine, alanine, leucine and isoleucine were detected in the desmoplastic stroma within the HGSOC lesions compared to the stroma of benign tumors. The HR MAS NMR analysis of the metabolic composition of the epithelial and stromal compartments within HGSOC contributes to a better understanding of the disease's biology.

Indexed as

MetabolomicsOvarian NeoplasmsAdultAgedCystadenocarcinoma, SerousFemaleHumansMagnetic Resonance SpectroscopyMetabolomeMiddle AgedNeoplasm GradingProton Magnetic Resonance Spectroscopyhigh-grade serous ovarian cancerhigh-resolution magic-angle spinning nuclear magnetic resonance spectroscopymetabolomics

Identifiers

PMID39456684
PMCPMC11507550

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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.