Triiodothyronine (T3) upregulates the expression of proto-oncogene TGFA independent of MAPK/ERK pathway activation in the human breast adenocarcinoma cell line, MCF7

Silva, Tabata M.; Moretto, Fernanda Cristina Fontes; Síbio, Maria Teresa De; Gonçalves, Bianca Mariani; Oliveira, Mauro Dal Secco de; Olímpio, Regiane Marques Castro; Oliveira, Diego A. M.; Costa, Sarah Maria Barneze; Deprá, Igor C.; Namba, Vickeline; Nunes, Maria Tereza; Nogueira, Célia Regina

doi:10.20945/2359-3997000000114

Cited by 4 publications

(3 citation statements)

References 31 publications

(34 reference statements)

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“…As regards TGFA our study corroborates with overexpression of the gene, leading to non-progression of cancer 46 . Further corroboration is obtained with respect to study of TGFA expression in esophageal cancer 47 . Corroboration is obtained for GAB2 when suppression of the same reduces lymph node metastases and invasive cancer.…”

Section: Discussionsupporting

confidence: 57%

Integrative Bioinformatics approaches to therapeutic gene target selection in various cancers for Nitroglycerin

Chinnappan

Ramu

Rajalakshmi

et al. 2021

Sci Rep

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Integrative Bioinformatics analysis helps to explore various mechanisms of Nitroglycerin activity in different types of cancers and help predict target genes through which Nitroglycerin affect cancers. Many publicly available databases and tools were used for our study. First step in this study is identification of Interconnected Genes. Using Pubchem and SwissTargetPrediction Direct Target Genes (activator, inhibitor, agonist and suppressor) of Nitroglycerin were identified. PPI network was constructed to identify different types of cancers that the 12 direct target genes affected and the Closeness Coefficient of the direct target genes so identified. Pathway analysis was performed to ascertain biomolecules functions for the direct target genes using CluePedia App. Mutation Analysis revealed Mutated Genes and types of cancers that are affected by the mutated genes. While the PPI network construction revealed the types of cancer that are affected by 12 target genes this step reveals the types of cancers affected by mutated cancers only. Only mutated genes were chosen for further study. These mutated genes were input into STRING to perform NW Analysis. NW Analysis revealed Interconnected Genes within the mutated genes as identified above. Second Step in this study is to predict and identify Upregulated and Downregulated genes. Data Sets for the identified cancers from the above procedure were obtained from GEO Database. DEG Analysis on the above Data sets was performed to predict Upregulated and Downregulated genes. A comparison of interconnected genes identified in step 1 with Upregulated and Downregulated genes obtained in step 2 revealed Co-Expressed Genes among Interconnected Genes. NW Analysis using STRING was performed on Co-Expressed Genes to ascertain Closeness Coefficient of Co-Expressed genes. Gene Ontology was performed on Co-Expressed Genes to ascertain their Functions. Pathway Analysis was performed on Co-Expressed Genes to identify the Types of Cancers that are influenced by co-expressed genes. The four types of cancers identified in Mutation analysis in step 1 were the same as the ones that were identified in this pathway analysis. This further corroborates the 4 types of cancers identified in Mutation analysis. Survival Analysis was done on the co-expressed genes as identified above using Survexpress. BIOMARKERS for Nitroglycerin were identified for four types of cancers through Survival Analysis. The four types of cancers are Bladder cancer, Endometrial cancer, Melanoma and Non-small cell lung cancer.

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Section: Discussionsupporting

confidence: 57%

Integrative Bioinformatics approaches to therapeutic gene target selection in various cancers for Nitroglycerin

Chinnappan

Ramu

Rajalakshmi

et al. 2021

Sci Rep

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“…It is expressed in several tissues, and throughout the entire lifespan of an organism, from embryogenesis to the adult phase. A study of the physiological action of triiodothyronine T3 on the expression of TGFA mRNA in MCF7 cells by inhibition of RNA polymerase II and the MAPK/ERK pathway found that T3 increases the expression of TGFA mRNA in MCF7 cells within 4 h of treatment [28]. Inhibition of RNA polymerase II modulates the effect of T3 treatment on the expression of TGFA in MCF7 cells.…”

Section: Resultsmentioning

confidence: 99%

Apoptosis and Cell Cycle Pathway-Focused Genes Expression Analysis in Patients with Different Forms of Thyroid Pathology

Bilous¹,

Pavlovych²,

Krynytska³

et al. 2020

Open Access Maced J Med Sci

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BACKGROUND: Thyroid hormones are key regulators of essential cellular processes including proliferation, differentiation, and finally apoptosis. AIM: The aim of study was to detect changes in the expression of apoptosis and cell cycle pathway-focused genes in patients with different forms of thyroid pathology. PATIENTS AND METHODS: 36 patients with thyroid pathology were enrolled in the study. We used the pathway-specific real-time PCR array (Neurotrophins and Receptors RT2 Profiler PCR Array, QIAGEN, Germany) to identify and verify apoptosis and cell cycle pathway-focused genes expression in patients with postoperative hypothyroidism, hypothyroidism as a result of autoimmune thyroiditis (AIT) and AIT with elevated serum an anti-thyroglobulin (anti-Tg) and anti-thyroid peroxidase (anti-TPO) antibodies. RESULTS: It was shown that patients with elevated serum anti-Tg and anti-TPO antibodies and with hypothyroidism resulting from AIT had a significantly lower expression of FAS, TGFB, TP53, TGFA, while the expression of CD40 was increased. The mRNA levels of BCL2 and BAX decreased in the patients with elevated serum anti-Tg and anti-TPO antibodies and increased in the patients with hypothyroidism resulting from AIT and postoperative hypothyroidism. The patients with hypothyroidism resulting from AIT and postoperative hypothyroidism had significantly lower expression of HSPB1. NF1 expression did not change in all groups of patients. CONCLUSION: The results of this study demonstrate that AIT and hypothyroidism affect the mRNA-level expression of apoptosis and cell cycle pathway-focused genes in gene specific manner and that these changes to gene expression can be responsible for the apoptosis signs and symptoms associated with thyroid pathology.

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“…The specific roles of thyroid hormone in different human cancer types are controversial. A number of investigators have reported that thyroid hormone promotes development of various cancers, whereas others suggest a tumor suppressor role [161][162][163][164]. Accumulating evidence from animal models and epidemiologic studies indicate an association between higher thyroid hormone levels and prevention of liver diseases, supporting the suppressor role of thyroid hormone and its receptor in HCC [25,38,[164][165][166].…”

Section: Discussionmentioning

confidence: 99%

Roles of Thyroid Hormone-Associated microRNAs Affecting Oxidative Stress in Human Hepatocellular Carcinoma

Huang

Wang

Yeh

et al. 2019

IJMS

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Oxidative stress occurs as a result of imbalance between the generation of reactive oxygen species (ROS) and antioxidant genes in cells, causing damage to lipids, proteins, and DNA. Accumulating damage of cellular components can trigger various diseases, including metabolic syndrome and cancer. Over the past few years, the physiological significance of microRNAs (miRNA) in cancer has been a focus of comprehensive research. In view of the extensive level of miRNA interference in biological processes, the roles of miRNAs in oxidative stress and their relevance in physiological processes have recently become a subject of interest. In-depth research is underway to specifically address the direct or indirect relationships of oxidative stress-induced miRNAs in liver cancer and the potential involvement of the thyroid hormone in these processes. While studies on thyroid hormone in liver cancer are abundantly documented, no conclusive information on the potential relationships among thyroid hormone, specific miRNAs, and oxidative stress in liver cancer is available. In this review, we discuss the effects of thyroid hormone on oxidative stress-related miRNAs that potentially have a positive or negative impact on liver cancer. Additionally, supporting evidence from clinical and animal experiments is provided.

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Triiodothyronine (T3) upregulates the expression of proto-oncogene TGFA independent of MAPK/ERK pathway activation in the human breast adenocarcinoma cell line, MCF7

Cited by 4 publications

References 31 publications

Integrative Bioinformatics approaches to therapeutic gene target selection in various cancers for Nitroglycerin

Integrative Bioinformatics approaches to therapeutic gene target selection in various cancers for Nitroglycerin

Apoptosis and Cell Cycle Pathway-Focused Genes Expression Analysis in Patients with Different Forms of Thyroid Pathology

Roles of Thyroid Hormone-Associated microRNAs Affecting Oxidative Stress in Human Hepatocellular Carcinoma

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