Metals distribution in colorectal biopsies: New insight on the elemental fingerprint of tumour tissue

Rinaldi, Leslie; Barabino, Gabriele; Klein, Jean-Philippe; Bitounis, Dimitrios; Pourchez, Jérémie; Forest, Valérie; Boudard, Delphine; Leclerc, Lara; Sarry, Gwendoline; Roblin, Xavier; Cottier, Michèle; Phélip, Jean-Marc

doi:10.1016/j.dld.2015.03.016

Cited by 32 publications

(9 citation statements)

References 29 publications

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“…However, its expression was down-regulated in liver tumor tissues, while increased in tumor tissues of almost all other cancer types (Figure S5, retrieved from TCGA database by GEPIA2 [30] ). This difference was in line with the decreased tumor iron content in liver tumor tissues but increased in tumor tissues of breast cancer, [31][32][33][34] lung cancer, [35,36] prostate cancer, [37,38] colorectal cancer, [39][40][41] and so on. Iron deficiency inhibits the production and secretion of HAMP to disable the degradation of FPN, thus increasing the absorption of exogenous iron into the body.…”

Section: Discussionsupporting

confidence: 63%

Loss of SLC46A1 decreases tumor iron content in hepatocellular carcinoma

Wang

Yang

et al. 2022

Hepatol Commun

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It is interesting that high iron is an independent inducer or cofactor of hepatocellular carcinoma (HCC) while the amount of iron is decreased in the liver tumor tissues. Due to the previous findings that iron deficiency promoted HCC metastasis, it is of significance to identify the underlying mechanism of iron deficiency in HCC. The tumor iron content and expressions of iron-metabolic molecules were observed in the primary liver cancers of rats and mice. The molecules that changed independently of iron were identified by comparing the expression profiles in the human HCC tissues and iron-deprived HCC cells. The downstream effects of these molecules on regulating intracellular iron content were investigated in vitro and further validated in vivo. Both in primary liver cancers of rats and mice, we confirmed the decreased iron content in tumor tissues and the altered expressions of iron-metabolic molecules, including transferrin receptor 1 (TfR1), six-transmembrane epithelial antigen of prostate 3 (STEAP3), divalent metal transporter 1 (DMT1), SLC46A1, ferroportin, hepcidin, and ferritin. Among these, STEAP3, DMT1, and SLC46A1 were altered free of iron deficiency. However, only silence or overexpression of SLC46A1 controlled the intracellular iron content of HCC cells. The interventions of STEAP3 or DMT1 could not change the intracellular iron content.Lentivirus-mediated regain of SLC46A1 expression restored the iron content in orthotopically implanted tumors, with correspondingly changes in the ironmetabolic molecules as iron increasing. Conclusion: Taken together, these results suggest that the loss of SLC46A1 expression leads to iron deficiency in liver tumor tissues, which would be an effective target to manage iron homeostasis in HCC.

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Section: Discussionsupporting

confidence: 63%

Loss of SLC46A1 decreases tumor iron content in hepatocellular carcinoma

Wang

Yang

et al. 2022

Hepatol Commun

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“…We developed optimized protocols for each kind of biological matrix to isolate the micro, sub-micro, and nano fractions of various types of inorganic particles and thus perform comprehensive mineralogical analyses. We were thus able to determine the nanoparticle load in patients’ biological samples such as seminal and follicular fluids [ 15 ], colon [ 16 ], amniotic fluids [ 17 ], or BAL [ 18 , 19 , 20 ]. We especially focused our attention on these latter, as the biomonitoring of biopersitent nanoparticles in the lung could be particularly relevant in the case of respiratory diseases.…”

Section: Introductionmentioning

confidence: 99%

Relationship between Occupational Exposure to Airborne Nanoparticles, Nanoparticle Lung Burden and Lung Diseases

Forest

Pourchez

Pélissier

et al. 2021

Toxics

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The biomonitoring of nanoparticles in patients’ broncho-alveolar lavages (BAL) could allow getting insights into the role of inhaled biopersistent nanoparticles in the etiology/development of some respiratory diseases. Our objective was to investigate the relationship between the biomonitoring of nanoparticles in BAL, interstitial lung diseases and occupational exposure to these particles released unintentionally. We analyzed data from a cohort of 100 patients suffering from lung diseases (NanoPI clinical trial, ClinicalTrials.gov Identifier: NCT02549248) and observed that most of the patients showed a high probability of exposure to airborne unintentionally released nanoparticles (>50%), suggesting a potential role of inhaled nanoparticles in lung physiopathology. Depending on the respiratory disease, the amount of patients likely exposed to unintentionally released nanoparticles was variable (e.g., from 88% for idiopathic pulmonary fibrosis to 54% for sarcoidosis). These findings are consistent with the previously performed mineralogical analyses of BAL samples that suggested (i) a role of titanium nanoparticles in idiopathic pulmonary fibrosis and (ii) a contribution of silica submicron particles to sarcoidosis. Further investigations are necessary to draw firm conclusions but these first results strengthen the array of presumptions on the contribution of some inhaled particles (from nano to submicron size) to some idiopathic lung diseases.

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“…Indeed, the biomonitoring of nanoparticles in human lung tissues or fluids could fill a gap between exposure to nanomaterials (evaluated by the external dose assessed by ambient monitoring) and the biological effects and even diseases induced by these nanomaterials [88,[90][91][92][93] (Figure 1). We adopted this approach to detect and quantify nanoparticles in various types of clinical samples such as seminal and follicular fluids [94], the colon [95], amniotic fluids [96], or BAL [97][98][99]. We especially focused our attention on BAL, where we separated micronsized particles (>1 µm) from submicron (100 nm-1 µm) and nano-sized particles (<100 nm) contained in BAL from a cohort of 100 patients who suffered from interstitial lung diseases (ILDs).…”

Section: Clinical Studiesmentioning

confidence: 99%

Experimental and Computational Nanotoxicology—Complementary Approaches for Nanomaterial Hazard Assessment

Forest

2022

Nanomaterials

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The growing development and applications of nanomaterials lead to an increasing release of these materials in the environment. The adverse effects they may elicit on ecosystems or human health are not always fully characterized. Such potential toxicity must be carefully assessed with the underlying mechanisms elucidated. To that purpose, different approaches can be used. First, experimental toxicology consisting of conducting in vitro or in vivo experiments (including clinical studies) can be used to evaluate the nanomaterial hazard. It can rely on variable models (more or less complex), allowing the investigation of different biological endpoints. The respective advantages and limitations of in vitro and in vivo models are discussed as well as some issues associated with experimental nanotoxicology. Perspectives of future developments in the field are also proposed. Second, computational nanotoxicology, i.e., in silico approaches, can be used to predict nanomaterial toxicity. In this context, we describe the general principles, advantages, and limitations especially of quantitative structure–activity relationship (QSAR) models and grouping/read-across approaches. The aim of this review is to provide an overview of these different approaches based on examples and highlight their complementarity.

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Metals distribution in colorectal biopsies: New insight on the elemental fingerprint of tumour tissue

Abstract: Magnesium, chromium, zinc and silicon were found in noteworthy concentrations in colorectal tumour. Their potential role in colorectal carcinogenesis should be explored.

Cited by 32 publications

References 29 publications

Loss of SLC46A1 decreases tumor iron content in hepatocellular carcinoma

Loss of SLC46A1 decreases tumor iron content in hepatocellular carcinoma

Relationship between Occupational Exposure to Airborne Nanoparticles, Nanoparticle Lung Burden and Lung Diseases

Experimental and Computational Nanotoxicology—Complementary Approaches for Nanomaterial Hazard Assessment

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