Evidence map›Paper›PMID 39557687›Full record

ArticleAnalytical and bioanalytical chemistry2025

Quantitative distribution of essential elements and non-essential metals in breast cancer tissues by LA-ICP-TOF-MS.

Sara Escudero-Cernuda, David Clases, Noemi Eiro, Luis O González, María Fraile, Francisco J Vizoso, María Luisa Fernández-Sánchez, Raquel Gonzalez de Vega

Abstract read
In one paragraph

Article in Analytical and bioanalytical chemistry, 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

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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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Sara Escudero-CernudaDepartment of Physical and Analytical Chemistry, University of Oviedo, Oviedo, Spain.
David ClasesInstitute of Chemistry, University of Graz, Graz, Austria.
Noemi EiroResearch Unit, Jove Hospital Foundation, Gijón, Spain.
Luis O GonzálezResearch Unit, Jove Hospital Foundation, Gijón, Spain.
María FraileResearch Unit, Jove Hospital Foundation, Gijón, Spain.
Francisco J VizosoResearch Unit, Jove Hospital Foundation, Gijón, Spain.
María Luisa Fernández-SánchezDepartment of Physical and Analytical Chemistry, University of Oviedo, Oviedo, Spain. marisafs@uniovi.es.
Raquel Gonzalez de VegaInstitute of Chemistry, University of Graz, Graz, Austria. raquel.gonzalez-de-vega@uni-graz.at.

Funding

Asturas Govenrment, Severo Ochoa PA-21-PF-BP20-067Instituto de Salud Carlos III DTS19-00109Ministerio de Ciencia e Innovacion PID2022-142323NB-I00
6 · The paper itself

Abstract

Breast cancer (BC) is the leading cause of cancer death among women worldwide, making the discovery and quantification of new biomarkers essential for improving diagnostic and preventive strategies to limit dissemination and improve prognosis. Essential trace metals such as Fe, Cu, and Zn may play critical roles in the pathophysiology of both benign and malignant breast tumors. However, due to the high metabolic activity and reduced element selectivity of cancer cells, also non-essential elements may be taken up and may even be implicated with disease progression. This study investigates the spatial distribution and concentrations of both essential and non-essential elements in breast tissues, assessing their potential for diagnostic applications. Laser ablation (LA)-inductively coupled plasma-mass spectrometry (ICP-MS) with a time-of-flight (ToF) mass analyzer (LA-ICP-ToF-MS) was used to inquire the distribution of almost all elements across the periodic table and their abundance in metastatic (n = 11), non-metastatic (n = 7), and healthy (n = 4) breast tissues. Quantification was achieved using gelatine-based standards for external calibration to quantitatively map various elements. Overall, the Fe, Cu, Zn, Sr, and Ba levels were significantly increased in tumor samples with Sr and Ba showing strong correlation, likely due to their similar chemistry. Comparison of calibrated LA-ICP-ToF-MS data with a histologic staining demonstrated the possibility to clearly differentiate between various tissue types and structures in breast tissues such as tumor niche and stroma. The levels of the studied elements were significantly higher in the tumor niche areas compared to the stroma, and for Fe, a significant accumulation was observed in the tumor niche areas from the metastatic patient group relative to the levels found in the same areas of the non-metastatic group.

Indexed as

Biomarkers, TumorBreast NeoplasmsMetalsCopperFemaleHumansIronMass SpectrometryParaffin EmbeddingTissue DistributionZincBiomarkers, TumorCopperIronMetalsZincElemental bioimagingElemental quantificationHyphenated techniquesLA-ICP-MSTime of flight

Identifiers

PMID39557687
PMCPMC11698889

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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.