| Literature DB >> 30621213 |
Carla Reale1, Filomena Russo2, Sara Carmela Credendino3, Danila Cuomo4,5, Gabriella De Vita6, Massimo Mallardo7, Francesca Pennino8, Immacolata Porreca9, Maria Triassi10, Mario De Felice11,12, Concetta Ambrosino13,14,15.
Abstract
Epidemiological and experimental studies emphasize the link between environmental chemicals exposure and thyroid cancer. However, this association is strongly debated and the mechanisms of action of environmental thyroid carcinogens still need to be identified. The analysis of in vitro transcriptomic data developed to investigate the effects of chlorpyrifos on immortalized thyrocytes highlighted the impaired expression of genes involved in endodermal carcinogenesis. This endodermal carcinogenic gene-network (ECGN, including Zfp36l2, Dmbt1, Ddit4), was validated in cellular and mouse models of thyroid carcinogenesis, characterized by the constitutive activation of the mitogen-activated protein kinase (MAPK) pathway and in immortalized thyrocytes exposed to tetrachlorodibenzo-p-dioxin (TCDD) and chlorpyrifos (CPF). The mRNA levels of Zfp36l2, Dmbt1 and Ddit4 were increased in models characterized by MAPK activation or following TCDD exposure, whereas they were inhibited by CPF exposure. Overall, the ECGN transcripts identify a novel gene-regulatory network associated with thyroid carcinogenesis promoted by genetic mutation or by environmental carcinogens. The latter have opposite effects on the modulation of the ECGN transcripts according to their mechanisms of action in promoting carcinogenesis. Therefore, the analyses of ECGN might be helpful in discriminating compounds that promote cellular survival associated or not to proliferation of thyrocytes.Entities:
Keywords: TCDD; cell survival; gene expression; pesticides; thyroid cancer
Mesh:
Substances:
Year: 2019 PMID: 30621213 PMCID: PMC6338918 DOI: 10.3390/ijerph16010122
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1Network built up with the genes included in the endodermal carcinogenic gene signature (ECGS) derived from ToxoFunctions identified by Ingenuity Pathway Analysis (IPA) analyses. The differentially regulated genes (grey nodes) mapped to pathway annotations derived from literature and gene ontology using Ingenuity Pathway Analysis (IPA)). The solid lines connecting molecules represents a direct relation and dotted lines an indirect relation. IPA constructs networks that optimize for both interconnectivity and number of Focus Genes (the grey nodes) under the constraint of a maximal network size. White nodes are added by the algorithm to build a highly connected molecular network between Focus Genes.
Ingenuity Pathway Analysis (IPA) biofunctions deregulated in chlorpyrifos (CPF) treated PCCL3. Biofunctions containing at least two genes are reported with indication of genes identifying each category. In bold are reported the genes included in the endodermal carcinogenic gene-network (ECGN).
| Categories | Diseases or Functions Annotation | Corrected | Genes |
|---|---|---|---|
| Cell Cycle | Entry into G2 phase | 2.86 × 10−2 | EGR1, |
| Cellular Growth and Proliferation, Embryonic Development | Formation of embryonic cells | 2.86 × 10−2 | GNAO1, |
| Gene Expression | Transcription of DNA | 2.86 × 10−2 | BEX1, EGR1, FZD5, GTF3C6, HEXIM2, HMGA1, |
| Cancer, Organismal Injury and Abnormalities | Epithelial cancer | 2.86 × 10−2 | BEX1, |
| Cellular Development, Hematological System Development and Function, Hematopoiesis | Erythropoiesis of cells | 2.86 × 10−2 | EGR1, HMGA1 |
| Cancer, Organismal Injury and Abnormalities, Reproductive System Disease | Mammary tumor | 2.86 × 10−2 | BEX1, |
| Cell-mediated Immune Response, Cellular Development, Cellular Function and Maintenance, Hematological System Development and Function, Hematopoiesis, Lymphoid Tissue Structure and Development | Differentiation of T-lymphocytes | 2.86 × 10−2 | EGR1, FZD5, HMGA1, |
| Cellular Development, Hematological System Development and Function, Hematopoiesis, Lymphoid Tissue Structure and Development | Development of lymphocytes | EGR1, Fus, FZD5, HMGA1, | |
| Endocrine System Development and Function, Lipid Metabolism, Molecular Transport, Small Molecule Biochemistry | Secretion of aldosterone | EGR1, HMGA1 |
Figure 2Life-long exposure to CPF regulates the expression of several mRNAs included in the ECGS and genes evidenced by the network analyses. mRNAs were prepared from thyroid of females exposed to 1 mg/kg/day and 10 mg/kg/day of CPF from the conception and life-long. They were sacrificed at 12 months and RNA prepared from thyroid. Level ECGS mRNAs, determined by real time polymerase chain reaction in control (not exposed) and treated animals. Data are reported as fold change values calculated as ratio between average relative gene expression in treated and control mice. Data are reported as the average and standard deviation of Gapdh-normalized mRNA levels of 5 animals. Mean and standard deviation is reported (Dmbt1 p-value = 0.02, p = 0.015; Chd9 p = 0.04; Ddit4 p = 0.025, p = 0.023; Cpeb2 p = 0.043; Znf703 p = 0.026, p = 0.035; Zfp36l2 p = 0.046).
Figure 3Chronic expression of constitutively activated RAS in immortalized thyrocytes induces several mRNAs included in the ECGS and genes evidenced by the network analyses. RNA was prepared from FRTL-5 cells transformed by mutated Ras (Ha-RasV12), expressing a constitutive Ha-RasV12 oncogene (FRTL-5-RasV12). (A) Level ECGS mRNAs, determined by real time polymerase chain reaction in control (FRTL-5) and transformed cells. (B) p65 and IκBα mRNAs were determined by RT-qPCR in the same samples. Western blotting (C) and densitometry analysis (D) of DMBT1, ZFP36L2 and DDIT4 protein in FRTL-5 wild type and FRTL-5-RasV12 cells. β-Tubulin was used as loading control. Data are reported as fold change values calculated as ratio between average relative gene expression in treated and control cells. Data are reported as the average and standard deviation of Abl-normalized mRNA levels. Results are expressed as the mean ± standard deviation of three independent experiments. (Dmbt1 p-value = 0.0001; Chd9 p = 0.03; Ddit4 p = 0.035; Cpeb2 p = 0.003; Znf703 p = 0.034; Zfp36l2 p = 0.0054).
Figure 4Doxycycline-induced expression of constitutively activated B-Raf proto-oncogene, serine/threonine kinase (BRAF) in vivo regulates several mRNAs included in the ECGS and genes evidenced by the network analyses. RNA was prepared from thyroid of mice expressing a mutated B-Raf oncogene only when treated with doxycycline (BRAFV600E + Dox) and from untreated animals (Ctrl). After 1 week of exposure, mice developed thyroid cancers and were sacrificed. (A) ECGS mRNA levels, determined by RT-qPCR in control and treated animals. (B) p65 and IκBα mRNAs were determined by RT-qPCR in the same samples as in A. Data are reported as the average and standard deviation of Abl-normalized mRNA levels of 5 animals. Mean and standard deviation is reported. (Dmbt1 p-value = 0.030; Znf703 p = 0.015; Zfp36l2 p = 0.025).
Figure 5Tetrachlorodibenzo-p-dioxin (TCDD) exposure regulates the expression of ECGS transcripts in FRTL-5 in time-dependent manner. FRTL-5 cells were exposed to TCDD 10−9 M for 1 or 7 days or vehicle only (Dimethyl Sulfoxide, DMSO). RT-qPCR was performed as detailed in Materials and Methods and primers are listed in Table S1. (A) ECGS transcript levels in control and TCDD 10−9 M treated cells. (B) p65 and IĸBα mRNAs were determined by RT-qPCR in the same samples. Western blotting (C) and densitometry analysis (D) of DMBT1, ZFP36L2 and DDIT4 protein in FRTL-5 untreated (Ctrl) and exposed to 10−9 M TCDD for 1 and 7 days. β-Tubulin was used as loading control. RT-qPCR data are reported as fold change values calculated as ratio between average relative gene expression in treated and control cells. Data are reported as the average and standard deviation of Gapdh-normalized mRNA levels. The black bar signs the control level. Results are expressed as the mean ± standard deviation of three independent experiments. (Dmbt1 p-value = 0.008, p = 0.0095; Chd9 p = 0.03; Ddit4 p = 0.042; Cpeb2 p = 0.018; Znf703 p = 0.01; Zfp36l2 p = 0.0075).
Figure 6Chlorpyrifos exposure regulates the expression in FRTL-5 in time-dependent manner of ECGS transcript. FRTL-5 cells were exposed to CPF 10−9 M for 1 or 7 days or vehicle only (DMSO). RT-qPCR was performed as detailed in Materials and Methods and primers are listed in Table S1. (A) ECGS transcripts levels in control and CPF 10−9 M treated cells. (B) p65 and IĸBα mRNAs were determined by RT-qPCR in the same samples. Western blotting (C) and densitometry analysis (D) of DMBT1, ZFP36L2 and DDIT4 protein in FRTL-5 untreated (Ctrl) and exposed to 10−9 M CPF for 1 and 7 days. β-Tubulin was used as loading control. RT-qPCR data are reported as fold change values calculated as ratio between average relative gene expression in treated and control cells. Data are reported as the average and standard deviation of Gapdh-normalized mRNA levels. The black bar signs the control level. Results are expressed as the mean ± standard deviation of three independent experiments. (Dmbt1 p-value = 0.049, Chd9 p = 0.021, p = 0.032; Cpeb2 p = 0.020).
Figure 7Tetrachlorodibenzo-p-dioxin (TCDD) and CPF exposure in FRTL-5 regulates the expression of genes involved in prevention of apoptosis and in mitogen-activated protein kinase (MAPK) signalling. (A) Bax/Bcl2 transcripts ratio in FRTL-5 exposed to TCDD 10−9 M for 1 or 7 days or vehicle only (DMSO). RT-qPCR was performed as detailed in M&M and primers are listed in Table S1. (B) Western blotting analyses of MAPK activation in FRTL-5 treated with TCDD 10−9 M for 1 and 7 days, compared to untreated cells (Ctrl). pERK1/ERK2 was determined as well as the cellular content of ERK1/ERK2. α-Tubulin was used as loading control. (C) Bax and Bcl2 transcripts ratio in FRTL-5 exposed to CPF 10−9 M for 1 or seven days or vehicle only (DMSO). (D) Western blotting analyses of MAPK activation in FRTL-5 treated with CPF 10−9 M for 1 and 7 days, compared to untreated cells (Ctrl). pERK1/ERK2 was determined as well as the cellular content of ERK1/ERK2. α-Tubulin was used as loading control. RT-qPCR data are reported as fold change values calculated as ratio between average relative gene expression in treated and control cells. Data are reported as the average and standard deviation of Gapdh-normalized mRNA levels. The black bar signs the control level. Results are expressed as the mean ± standard deviation of three independent experiments. (Bax/Bcl2, CPF p-value = 0.035, p = 0.048).