Clinicopathological significance of unraveling mitochondrial pathway alterations in non‐small‐cell lung cancer

Hertweck, Kate L.; Vikramdeo, Kunwar Somesh; Galeas, Jose Nahun; Marbut, Stephen; Pramanik, Paramahansa; Yunus, Furhan; Singh, Seema; Singh, Ajay P.; Dasgupta, Santanu

doi:10.1096/fj.202201724rr

Cited by 5 publications

(3 citation statements)

References 49 publications

(100 reference statements)

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“…In this section, we are going to discuss the spread of COVID-19 due to social interactions and different levels of immunity levels among humans. We know the immune system is the best defense because it supports the body's natural ability to defend against pathogens such as viruses, bacteria, fungi, protozoan, and worms, and resists infections [34,35].…”

Section: Assumption 1 the Following Set Of Assumptions Regarding The ...mentioning

confidence: 99%

Estimation of Optimal Lock-Down and Vaccination Rate of a Stochastic SIR Model: A Mathematical Approach

Pramanik

2024

Eur. J. Stat.

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This paper utilizes a stochastic Susceptible-Infected-recovered (SIR) model with a nonlinear incidence rate to estimate the optimal lock-down intensity and vaccination rate under the COVID-19 pandemic environment. We use a Feynman-type path integral control approach to determine a Fokker-Plank type equation of this system. Since we assume the availability of information on the COVID-19 pandemic is complete and perfect, we show the existence of a unique fixed point. A non-linear incidence rate is used because, it can be raised from saturation effects that if the proportion of infected agents is very high so that exposure to the pandemic is inevitable, then the transmission rate responds slower than linearity to the increase in the number of infections. The simulation study shows that with higher diffusion coefficients susceptible and recovery curves keep the downward trends while the infection curve becomes ergodic. Finally, we perform a data analysis using UK data at the beginning of 2021 and compare it with our theoretical results.

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Section: Assumption 1 the Following Set Of Assumptions Regarding The ...mentioning

confidence: 99%

Estimation of Optimal Lock-Down and Vaccination Rate of a Stochastic SIR Model: A Mathematical Approach

Pramanik

2024

Eur. J. Stat.

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“…In (8), the first order condition determines α 1 . If all the above conditions are satisfied with h(s) = 1 then, Laplace approximation implies,…”

Section: K Dmentioning

confidence: 99%

Measuring Asymmetric Tails Under Copula Distributions

Pramanik

2024

Eur. J. Stat.

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Extensive evidence has been gathered showcasing the prevalence of heavy-tailed distributions and asymmetric tail interdependence within equity and foreign exchange markets, particularly during times of crisis. Tail interdependence in financial markets often manifests as financial contagion, characterized by periods where declining prices and heightened volatility propagate across economic and financial sectors. This phenomenon causes markets that typically exhibit minimal or no correlation to behave similarly, often in opposition to fundamental principles. Instances of unwarranted contagion present a perplexing challenge, suggesting irrationality among market participants and defying conventional risk management strategies and optimal portfolio selections. Our objective is to construct a comprehensive framework for dissecting such occurrences, utilizing a metric of tail-nonexchangeable dependencies employing various copulas with diverse marginal distributions. We offer analytical insights into our measurement of tail order dependence to aid in understanding these events.

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“…Methylenetetrahydrofolate dehydrogenase 2 (MTHFD2) is an enzyme that has recently come to the forefront due to its high expression in various cancer types, including non-small cell lung cancer, breast cancer, prostate cancer, and blood cancer [22][23][24][25][26][27]. This enzyme plays a pivotal role in mitochondrial folate one-carbon metabolism and is also referred to as NMDMC (NAD-dependent mitochondrial methylenetetrahydrofolate dehydrogenasecyclohydrolase) [28]. Studies have consistently demonstrated that MTHFD2 is a critical factor in driving cancer cell proliferation, making it a significant contributor to tumor growth and advancement [25,[29][30][31].…”

Section: Introductionmentioning

confidence: 99%

Identification and Absorption–Distribution–Metabolism–Excretion–Toxicity Prediction of Potential MTHFD2 Enzyme Inhibitors from Urtica dioica Ethanolic Leaf Extract

Alshammari

2024

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This study aimed to explore the potential of Urtica dioica (U. dioica) ethanolic leaf extract for cancer treatment by identifying its components, evaluating its effects on cancer cell lines, and analyzing its molecular docking. The objective of this study was to investigate the anticancer properties of U. dioica ethanolic leaf extract and assess its potential as a therapeutic strategy for cancer treatment. This study utilized high-performance liquid chromatography (HPLC) to analyze the chemical composition of U. dioica ethanolic leaf extract. The anticancer effects of the extract were evaluated by assessing cell viability, determining IC50 values, and conducting ADMET analysis after oral administration. U. dioica ethanolic leaf extract was found to contain methyl hexadecanoate as its primary component, along with flavonoids and polyphenols. It effectively reduced cell viability in various tested cancer cell lines, with IC50 values varying for each cell line. The duration of treatment significantly influenced cell viability, with the most significant reduction observed after 48 h. Molecular docking studies suggested that catechin, kaempferol, and quercetin-3-O-rutinoside may have potential as inhibitors of the MTHFD2 enzyme. This study revealed the potential of U. dioica and its compounds in cancer treatment. Ethanolic leaf extract has been shown to have anticancer effects on various cancer cell lines, with catechin and kaempferol showing promise as inhibitors of the MTHFD2 enzyme. Further research is warranted to explore the therapeutic implications of U. dioica in cancer treatment.

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Clinicopathological significance of unraveling mitochondrial pathway alterations in non‐small‐cell lung cancer

Cited by 5 publications

References 49 publications

Estimation of Optimal Lock-Down and Vaccination Rate of a Stochastic SIR Model: A Mathematical Approach

Estimation of Optimal Lock-Down and Vaccination Rate of a Stochastic SIR Model: A Mathematical Approach

Measuring Asymmetric Tails Under Copula Distributions

Identification and Absorption–Distribution–Metabolism–Excretion–Toxicity Prediction of Potential MTHFD2 Enzyme Inhibitors from Urtica dioica Ethanolic Leaf Extract

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