Significance of selenium levels in non-small cell lung cancer patients: A comparative study

Elassal, Gehan; Samy, Haytham; Said, Mohamed; El-Batrawy, Sherouk

doi:10.1016/j.ejcdt.2014.07.012

Cited by 5 publications

(1 citation statement)

References 17 publications

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“…• We also found Significance of selenium levels in nonsmall cell lung cancer patients [20], [21]. We also found evidence of…”

Section: Biological Relevancesupporting

confidence: 66%

Gene Expression Analysis for Early Lung Cancer Prediction Using Machine Learning Techniques: An Eco-Genomics Approach

Pati

2019

IEEE Access

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Cancer as a multifactorial disorder develops due to the complex interaction between gene and environment. A person may be susceptible to cancer due to his individual genetic makeup. Cancer causes maximum death worldwide as per data given by the World Health Organization. Some cases are reported with particular genetic makeup. Hence, the proper understanding of eco-genomics of cancer is necessary to interpret the underlying cause and risk factor for cancer. Combining huge gene expression date available in cyberspace and advanced machine learning technique may bring out the strongest candidate genes, which individually or as a part of the complex system, have more accurate prognostic value to determine someone's susceptibility toward cancer. In this paper, we have analyzed gene expression data for the lung cancer available in the Kent Ridge Bio-Medical Dataset Repository. The microarray gene expression data are analyzed to select and predict the optimal subset of genes, which are the most probable causing agent of lung cancer. INDEX TERMS Gene expression analysis, machine learning technique, eco-genomics, multilayer perceptron, information gain attribute ranking.

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“…• We also found Significance of selenium levels in nonsmall cell lung cancer patients [20], [21]. We also found evidence of…”

Section: Biological Relevancesupporting

confidence: 66%

Gene Expression Analysis for Early Lung Cancer Prediction Using Machine Learning Techniques: An Eco-Genomics Approach

Pati

2019

IEEE Access

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Use of circulating microRNAs as biomarkers in critically ill polytrauma patients

Bedreag

Rogobete

Dumache

et al. 2015

Biomarkers and Genomic Medicine

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Selenite as a dual apoptotic and ferroptotic agent synergizes with EGFR and KRAS inhibitors with epigenetic interference

Chan

Liu

et al. 2023

Clin Epigenet

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Background Selenium, an essential trace element, has previously been investigated as a pro-apoptotic and DNA demethylation agent. It sensitizes the response to chemotherapy in patients who were refractory to cytotoxic agents. Meanwhile, ferroptosis is a novel approach to cancer treatment by triggering cell death and reversing drug resistance. The role of selenium in treating cancer cells harboring druggable oncogenic alterations and its underlying mechanism are largely unknown. Results We treated lung adenocarcinoma cell lines—EGFR-mutant H1975 (H1975 EGFR p.L858R and p.T790M) and KRAS-mutant H358 (H358 KRAS p.G12C), with sodium selenite to examine its effect on cell apoptosis, ferroptosis, and DNA methylation, as well as its interaction with existing targeted therapy, osimertinib, and adagrasib. We observed selenite to be a dual apoptotic and ferroptotic agent on lung cancer cells, associated with the activation of p38-ATF4-DDIT3 axis in the unfolded protein response. Ferroptosis induction was more remarkable in H1975 than H358. Selenite also altered cellular DNA methylation machinery through downregulating DNMT1 and upregulating TET1, though not as a major mechanism of its activity. Low-dose selenite synergized with osimertinib in EGFR-mutant H1975, and with adagrasib in KRAS-mutant H358, with stronger synergism observed in H1975. Conclusion These results suggest that selenite is a potential apoptotic and ferroptotic drug candidate for the treatment of especially EGFR- and potentially KRAS-mutant lung cancer.

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Significance of selenium levels in non-small cell lung cancer patients: A comparative study

Cited by 5 publications

References 17 publications

Gene Expression Analysis for Early Lung Cancer Prediction Using Machine Learning Techniques: An Eco-Genomics Approach

Gene Expression Analysis for Early Lung Cancer Prediction Using Machine Learning Techniques: An Eco-Genomics Approach

Use of circulating microRNAs as biomarkers in critically ill polytrauma patients

Selenite as a dual apoptotic and ferroptotic agent synergizes with EGFR and KRAS inhibitors with epigenetic interference

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