Evidence map›Paper›PMID 37299011›Full record

ArticleMolecules (Basel, Switzerland)2023

Multi-Omics Analysis Revealed Increased De Novo Synthesis of Serine and Lower Activity of the Methionine Cycle in Breast Cancer Cell Lines.

Monika Pankevičiūtė-Bukauskienė, Valeryia Mikalayeva, Vaidotas Žvikas, V Arvydas Skeberdis, Sergio Bordel

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2023. 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
1.7field-weighted citation impact, top 15% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. 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

5 authors at 2 institutions in 2 countries.

Monika Pankevičiūtė-BukauskienėInstitute of Cardiology, Lithuanian University of Health Sciences, LT 50162 Kaunas, Lithuania.ORCID 0000-0002-3839-8048
Valeryia MikalayevaInstitute of Cardiology, Lithuanian University of Health Sciences, LT 50162 Kaunas, Lithuania.ORCID 0000-0003-2848-816X
Vaidotas ŽvikasInstitute of Pharmaceutical Technologies, Lithuanian University of Health Sciences, LT 50162 Kaunas, Lithuania.
V Arvydas SkeberdisInstitute of Cardiology, Lithuanian University of Health Sciences, LT 50162 Kaunas, Lithuania.
Sergio BordelInstitute of Cardiology, Lithuanian University of Health Sciences, LT 50162 Kaunas, Lithuania.ORCID 0000-0001-6162-6478
Lithuanian University of Health Sciences · LTUniversidad de Valladolid · ES

Funding

Lithuanian Scientific Society S-SEN-20-6
6 · The paper itself

Abstract

A pipeline for metabolomics, based on UPLC-ESI-MS, was tested on two malignant breast cancer cell lines of the sub-types ER(+), PR(+), and HER2(3+) (MCF-7 and BCC), and one non-malignant epithelial cancer cell line (MCF-10A). This allowed us to quantify 33 internal metabolites, 10 of which showed a concentration profile associated with malignancy. Whole-transcriptome RNA-seq was also carried out for the three mentioned cell lines. An integrated analysis of metabolomics and transcriptomics was carried out using a genome-scale metabolic model. Metabolomics revealed the depletion of several metabolites that have homocysteine as a precursor, which was consistent with the lower activity of the methionine cycle caused by lower expression of the AHCY gene in cancer cell lines. Increased intracellular serine pools in cancer cell lines appeared to result from the over-expression of PHGDH and PSPH, which are involved in intracellular serine biosynthesis. An increased concentration of pyroglutamic acid in malignant cells was linked to the overexpression of the gene CHAC1.

Indexed as

Breast NeoplasmsMethionineCell Line, TumorFemaleHumansMCF-7 CellsMultiomicsRacemethionineSerineMethionineRacemethionineSerinebreast cancerdrug targetgenome-scale metabolic model

Identifiers

PMID37299011
PMCPMC10254915
OpenAlexW4379471534

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.