Approach to mathematical modeling of the process of carcinogenesis DOI
Марина Анатоліївна Бондаренко, Olga Zaytseva, A.S. Solodovnikov

et al.

Published: Dec. 30, 2024

Background. The steady increase in the incidence and mortality rates of malignant neoplasms necessitates integration advanced high-tech research methods into oncology, one which is mathematical modeling initiation, promotion, progression tumors. complexity carcinogenesis associated with need to consider a significant number factors influencing this process, as well its specificity, multi-level nature, multi-stage progression, varying scales. A detailed study molecular mechanisms underlying process essential for developing new approaches describing cell malignancy. Purpose – conduct comparative analysis existing models malignancy development oncological diseases, predicting dynamics biological systemsʼ behavior various types cells during their interaction. This intended optimize processes cancer detection treatment. Materials Methods. involves an scientific data on biology medicine, particularly through review available domestic international literature. Results. examined specific features pathogenesis diseases that must be considered process. It was demonstrated has unique characteristics, importance selecting appropriate tools accordance objectives highlighted. deterministic model interaction between tumor immune body analyzed, limitations were identified. Evidence supporting necessity employing probabilistic approach describe presented. Conclusions. correct choice method tumors represents powerful modern studying etiology diseases. application oncology improves understanding hidden clinical patterns, enhances disease diagnosis, enables better forecasting ultimately optimizing treatment strategies patients.

Language: Английский

Nanoparticle-based drug delivery system for Oral Cancer: Mechanism, challenges, and therapeutic potential DOI Creative Commons
Nurhasni Hasan, Maryam Aftab, Muneeb Ullah

et al.

Results in Chemistry, Journal Year: 2025, Volume and Issue: unknown, P. 102068 - 102068

Published: Jan. 1, 2025

Language: Английский

Citations

4
Cost of Illness Study on Oral Cancer in Australia DOI Creative Commons
Monique Paula Gama, Utsana Tonmukayakul,

Neerja Saraswat

et al.

Oral Diseases, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 23, 2025

ABSTRACT Objectives The aim of this study is to estimate the economic burden oral cancer in Australia from societal perspective. Methods population consisted prevalence lip and cavity cancer, other lip, cavity, pharynx cancers for ages 40 years older. Healthcare costs were estimated using 2019–2020 Australian Disease Expenditure Data. Productivity losses disability‐adjusted life years, derived 2019 Global Burden Study gross domestic product per capita. Results annual healthcare approximately AUD$113.2 million. Over half total (54%) attributable public hospital admissions (AUD$61.2 million), followed by private services (28%) pharmaceutical benefits (8%). costs, including productivity losses, around AUD$2.1 billion. due higher males compared females (AUD$1.5 billion versus AUD$0.6 billion). Conclusions reveals a significant at billion, largely admissions. This highlights need effective screening prevention programs.

Language: Английский

Citations

0
Beyond Genetics: Exploring Lifestyle, Microbiome, and Social Determinants in Oral Cancer Development DOI Open Access
Anil G. Menon, Vimi Sunil Mutalik, Yongqiang Chen

et al.

Cancers, Journal Year: 2025, Volume and Issue: 17(7), P. 1094 - 1094

Published: March 25, 2025

Oral cancer refers to cancers originating in the oral cavity and oropharyngeal regions. It is 16th most prevalent sixth leading cause of cancer-related deaths. However, mechanisms its progression are still being understood, interventions provide early diagnosis need be improved. More studies have recently been conducted on cancer, many reviews summarized findings this field, focusing individual factors. few review articles evaluated combinational impacts different factors cancer. This aimed an overview effects three extracellular factors, including lifestyle habits, microbiome, socioeconomic progression. differentially affected by habits; high-sugar diets, processed foods, alcohol, smoking, possibly sleep disorders benefit progression, whereas eating natural such as fruits, vegetables, fish, garlic, drinking tea or coffee, physical exercise can combat it. The microbiome could suppress promote Low status impact development. Furthermore, crosstalk among these affects has limitations not all cancer-affecting important publications. focus should placed multiple treatment. study update researchers landscape help formulate approaches prevention

Language: Английский

Citations

0
Approach to mathematical modeling of the process of carcinogenesis DOI
Марина Анатоліївна Бондаренко, Olga Zaytseva, A.S. Solodovnikov

et al.

Published: Dec. 30, 2024

Background. The steady increase in the incidence and mortality rates of malignant neoplasms necessitates integration advanced high-tech research methods into oncology, one which is mathematical modeling initiation, promotion, progression tumors. complexity carcinogenesis associated with need to consider a significant number factors influencing this process, as well its specificity, multi-level nature, multi-stage progression, varying scales. A detailed study molecular mechanisms underlying process essential for developing new approaches describing cell malignancy. Purpose – conduct comparative analysis existing models malignancy development oncological diseases, predicting dynamics biological systemsʼ behavior various types cells during their interaction. This intended optimize processes cancer detection treatment. Materials Methods. involves an scientific data on biology medicine, particularly through review available domestic international literature. Results. examined specific features pathogenesis diseases that must be considered process. It was demonstrated has unique characteristics, importance selecting appropriate tools accordance objectives highlighted. deterministic model interaction between tumor immune body analyzed, limitations were identified. Evidence supporting necessity employing probabilistic approach describe presented. Conclusions. correct choice method tumors represents powerful modern studying etiology diseases. application oncology improves understanding hidden clinical patterns, enhances disease diagnosis, enables better forecasting ultimately optimizing treatment strategies patients.

Language: Английский

Citations

0