Evidence map›Paper›PMID 39940737›Full record

ArticleInternational journal of molecular sciences2025

Metabolic Profiling of Breast Cancer Cell Lines: Unique and Shared Metabolites.

Mariana Gallo, Elena Ferrari, Federica Brugnoli, Anna Terrazzan, Pietro Ancona, Stefano Volinia, Valeria Bertagnolo, Carlo M Bergamini, Alberto Spisni, Thelma A Pertinhez and 1 more

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

11 authors.

Mariana GalloDepartment of Medicine and Surgery, University of Parma, 43125 Parma, Italy.ORCID 0000-0002-0022-4499
Elena FerrariDepartment of Medicine and Surgery, University of Parma, 43125 Parma, Italy.
Federica BrugnoliDepartment of Translational Medicine, University of Ferrara, 44121 Ferrara, Italy.
Anna TerrazzanDepartment of Translational Medicine, University of Ferrara, 44121 Ferrara, Italy.ORCID 0000-0003-2658-3382
Pietro AnconaDepartment of Translational Medicine, University of Ferrara, 44121 Ferrara, Italy.ORCID 0009-0001-8881-1128
Stefano VoliniaDepartment of Translational Medicine, University of Ferrara, 44121 Ferrara, Italy.ORCID 0000-0003-0910-3893
Valeria BertagnoloDepartment of Translational Medicine, University of Ferrara, 44121 Ferrara, Italy.
Carlo M BergaminiDepartment of Neuroscience and Rehabilitation, University of Ferrara, 44121 Ferrara, Italy.
Alberto SpisniDepartment of Medicine and Surgery, University of Parma, 43125 Parma, Italy.
Thelma A PertinhezDepartment of Medicine and Surgery, University of Parma, 43125 Parma, Italy.ORCID 0000-0002-3065-6567
Nicoletta BianchiDepartment of Translational Medicine, University of Ferrara, 44121 Ferrara, Italy.ORCID 0000-0001-9280-6017

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast Cancer (BrCa) exhibits a high phenotypic heterogeneity, leading to the emergence of aggressive clones and the development of drug resistance. Considering the BrCa heterogeneity and that metabolic reprogramming is a cancer hallmark, we selected seven BrCa cell lines with diverse subtypes to provide their comprehensive metabolome characterization: five lines commonly used (SK-Br-3, T-47D, MCF-7, MDA-MB-436, and MDA-MB-231), and two patient-derived xenografts (Hbcx39 and Hbcx9). We characterized their endometabolomes using

Indexed as

Breast NeoplasmsMetabolomeMetabolomicsAnimalsCell Line, TumorFemaleHumansMCF-7 CellsMetabolic Networks and PathwaysMicebreast cancermetabolic reprogrammingmetabolite profilingmetabolomeNMR

Identifiers

PMID39940737
PMCPMC11816582

What Socratic 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 Socratic graph.