2023
Holme, Jørn A.; Vondráček, Jan; Machala, Miroslav; Lagadic-Gossmann, Dominique; Vogel, Christoph F. A.; Ferrec, Eric Le; Sparfel, Lydie; Øvrevik, Johan
In: Biochemical pharmacology, vol. 216, pp. 115801, 2023, ISSN: 1873-2968 0006-2952, (Place: England).
Abstract | Links | BibTeX | Tags: *Air Pollutants/toxicity, *Lung Neoplasms/chemically induced/genetics, *Polycyclic Aromatic Hydrocarbons/toxicity, Air pollution, Aryl Hydrocarbon/genetics, Carcinogenesis, Diesel exhaust, Environmental Monitoring, Genotoxicity, Humans, Inflammation, Occupational exposure, Particulate Matter/toxicity, Receptors, Smoking, Tumor metastasis, Tumor microenvironment, Tumor promotion
@article{holme_lung_2023,
title = {Lung cancer associated with combustion particles and fine particulate matter (PM(2.5)) - The roles of polycyclic aromatic hydrocarbons (PAHs) and the aryl hydrocarbon receptor (AhR).},
author = {Jørn A. Holme and Jan Vondráček and Miroslav Machala and Dominique Lagadic-Gossmann and Christoph F. A. Vogel and Eric Le Ferrec and Lydie Sparfel and Johan Øvrevik},
doi = {10.1016/j.bcp.2023.115801},
issn = {1873-2968 0006-2952},
year = {2023},
date = {2023-10-01},
journal = {Biochemical pharmacology},
volume = {216},
pages = {115801},
abstract = {Air pollution is the leading cause of lung cancer after tobacco smoking, contributing to 20% of all lung cancer deaths. Increased risk associated with living near trafficked roads, occupational exposure to diesel exhaust, indoor coal combustion and cigarette smoking, suggest that combustion components in ambient fine particulate matter (PM(2.5)), such as polycyclic aromatic hydrocarbons (PAHs), may be central drivers of lung cancer. Activation of the aryl hydrocarbon receptor (AhR) induces expression of xenobiotic-metabolizing enzymes (XMEs) and increase PAH metabolism, formation of reactive metabolites, oxidative stress, DNA damage and mutagenesis. Lung cancer tissues from smokers and workers exposed to high combustion PM levels contain mutagenic signatures derived from PAHs. However, recent findings suggest that ambient air PM(2.5) exposure primarily induces lung cancer development through tumor promotion of cells harboring naturally acquired oncogenic mutations, thus lacking typical PAH-induced mutations. On this background, we discuss the role of AhR and PAHs in lung cancer development caused by air pollution focusing on the tumor promoting properties including metabolism, immune system, cell proliferation and survival, tumor microenvironment, cell-to-cell communication, tumor growth and metastasis. We suggest that the dichotomy in lung cancer patterns observed between smoking and outdoor air PM(2.5) represent the two ends of a dose-response continuum of combustion PM exposure, where tumor promotion in the peripheral lung appears to be the driving factor at the relatively low-dose exposures from ambient air PM(2.5), whereas genotoxicity in the central airways becomes increasingly more important at the higher combustion PM levels encountered through smoking and occupational exposure.},
note = {Place: England},
keywords = {*Air Pollutants/toxicity, *Lung Neoplasms/chemically induced/genetics, *Polycyclic Aromatic Hydrocarbons/toxicity, Air pollution, Aryl Hydrocarbon/genetics, Carcinogenesis, Diesel exhaust, Environmental Monitoring, Genotoxicity, Humans, Inflammation, Occupational exposure, Particulate Matter/toxicity, Receptors, Smoking, Tumor metastasis, Tumor microenvironment, Tumor promotion},
pubstate = {published},
tppubtype = {article}
}
Air pollution is the leading cause of lung cancer after tobacco smoking, contributing to 20% of all lung cancer deaths. Increased risk associated with living near trafficked roads, occupational exposure to diesel exhaust, indoor coal combustion and cigarette smoking, suggest that combustion components in ambient fine particulate matter (PM(2.5)), such as polycyclic aromatic hydrocarbons (PAHs), may be central drivers of lung cancer. Activation of the aryl hydrocarbon receptor (AhR) induces expression of xenobiotic-metabolizing enzymes (XMEs) and increase PAH metabolism, formation of reactive metabolites, oxidative stress, DNA damage and mutagenesis. Lung cancer tissues from smokers and workers exposed to high combustion PM levels contain mutagenic signatures derived from PAHs. However, recent findings suggest that ambient air PM(2.5) exposure primarily induces lung cancer development through tumor promotion of cells harboring naturally acquired oncogenic mutations, thus lacking typical PAH-induced mutations. On this background, we discuss the role of AhR and PAHs in lung cancer development caused by air pollution focusing on the tumor promoting properties including metabolism, immune system, cell proliferation and survival, tumor microenvironment, cell-to-cell communication, tumor growth and metastasis. We suggest that the dichotomy in lung cancer patterns observed between smoking and outdoor air PM(2.5) represent the two ends of a dose-response continuum of combustion PM exposure, where tumor promotion in the peripheral lung appears to be the driving factor at the relatively low-dose exposures from ambient air PM(2.5), whereas genotoxicity in the central airways becomes increasingly more important at the higher combustion PM levels encountered through smoking and occupational exposure.
Kvokačková, Barbora; Fedr, Radek; Kužílková, Daniela; Stuchlý, Jan; Vávrová, Adéla; Navrátil, Jiří; Fabian, Pavel; Ondruššek, Róbert; Ovesná, Petra; Remšík, Ján; Bouchal, Jan; Kalina, Tomáš; Souček, Karel
Single-cell protein profiling defines cell populations associated with triple-negative breast cancer aggressiveness. Journal Article
In: Molecular oncology, vol. 17, no. 6, pp. 1024–1040, 2023, ISSN: 1878-0261 1574-7891, (Place: United States).
Abstract | Links | BibTeX | Tags: *Triple Negative Breast Neoplasms/metabolism, Cell Line, Humans, mass cytometry, phenotypic plasticity, Proteomics, Retrospective Studies, Signal Transduction, single-cell profiles, Stromal Cells/metabolism, triple-negative breast cancer, Tumor, tumor heterogeneity, Tumor microenvironment, unsupervised machine learning algorithm
@article{kvokackova_single-cell_2023,
title = {Single-cell protein profiling defines cell populations associated with triple-negative breast cancer aggressiveness.},
author = {Barbora Kvokačková and Radek Fedr and Daniela Kužílková and Jan Stuchlý and Adéla Vávrová and Jiří Navrátil and Pavel Fabian and Róbert Ondruššek and Petra Ovesná and Ján Remšík and Jan Bouchal and Tomáš Kalina and Karel Souček},
doi = {10.1002/1878-0261.13365},
issn = {1878-0261 1574-7891},
year = {2023},
date = {2023-06-01},
journal = {Molecular oncology},
volume = {17},
number = {6},
pages = {1024–1040},
abstract = {Triple-negative breast cancer (TNBC) is an aggressive and complex subtype of breast cancer that lacks targeted therapy. TNBC manifests characteristic, extensive intratumoral heterogeneity that promotes disease progression and influences drug response. Single-cell techniques in combination with next-generation computation provide an unprecedented opportunity to identify molecular events with therapeutic potential. Here, we describe the generation of a comprehensive mass cytometry panel for multiparametric detection of 23 phenotypic markers and 13 signaling molecules. This single-cell proteomic approach allowed us to explore the landscape of TNBC heterogeneity, with particular emphasis on the tumor microenvironment. We prospectively profiled freshly resected tumors from 26 TNBC patients. These tumors contained phenotypically distinct subpopulations of cancer and stromal cells that were associated with the patient's clinical status at the time of surgery. We further classified the epithelial-mesenchymal plasticity of tumor cells, and molecularly defined phenotypically diverse populations of tumor-associated stroma. Furthermore, in a retrospective tissue-microarray TNBC cohort, we showed that the level of CD97 at the time of surgery has prognostic potential.},
note = {Place: United States},
keywords = {*Triple Negative Breast Neoplasms/metabolism, Cell Line, Humans, mass cytometry, phenotypic plasticity, Proteomics, Retrospective Studies, Signal Transduction, single-cell profiles, Stromal Cells/metabolism, triple-negative breast cancer, Tumor, tumor heterogeneity, Tumor microenvironment, unsupervised machine learning algorithm},
pubstate = {published},
tppubtype = {article}
}
Triple-negative breast cancer (TNBC) is an aggressive and complex subtype of breast cancer that lacks targeted therapy. TNBC manifests characteristic, extensive intratumoral heterogeneity that promotes disease progression and influences drug response. Single-cell techniques in combination with next-generation computation provide an unprecedented opportunity to identify molecular events with therapeutic potential. Here, we describe the generation of a comprehensive mass cytometry panel for multiparametric detection of 23 phenotypic markers and 13 signaling molecules. This single-cell proteomic approach allowed us to explore the landscape of TNBC heterogeneity, with particular emphasis on the tumor microenvironment. We prospectively profiled freshly resected tumors from 26 TNBC patients. These tumors contained phenotypically distinct subpopulations of cancer and stromal cells that were associated with the patient's clinical status at the time of surgery. We further classified the epithelial-mesenchymal plasticity of tumor cells, and molecularly defined phenotypically diverse populations of tumor-associated stroma. Furthermore, in a retrospective tissue-microarray TNBC cohort, we showed that the level of CD97 at the time of surgery has prognostic potential.