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

и другие.

Опубликована: Дек. 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.

Язык: Английский

Harnessing State-of-the-Art Gene Therapy to Transform Oral Cancer Treatment DOI
Wei Zhang, Yan Zhang, Xiaowen Yang

и другие.

Biochemical Genetics, Год журнала: 2025, Номер unknown

Опубликована: Март 11, 2025

Язык: Английский

Процитировано

0
EpCAM Signaling in Oral Cancer Stem Cells: Implications for Metastasis, Tumorigenicity, and Therapeutic Strategies DOI Creative Commons
Chuan‐Hsin Chang,

Chung‐Che Tsai,

Fu‐Ming Tsai

и другие.

Current Issues in Molecular Biology, Год журнала: 2025, Номер 47(2), С. 123 - 123

Опубликована: Фев. 14, 2025

Oral cancer, a subtype of head and neck poses significant global health challenges owing to its late diagnosis high metastatic potential. The epithelial cell adhesion molecule (EpCAM), transmembrane glycoprotein, has emerged as critical player in cancer biology, particularly oral stem cells (CSCs). This review highlights the multifaceted roles EPCAM regulating metastasis, tumorigenicity, resistance therapy. EpCAM influences key pathways, including Wnt/β-catenin EGFR, modulating CSC self-renewal, epithelial-to-mesenchymal transition (EMT), immune evasion. Moreover, been implicated metabolic reprogramming, epigenetic regulation, crosstalk with other signaling pathways. Advances EpCAM-targeting strategies, such monoclonal antibodies, chimeric antigen receptor (CAR) T/NK therapies, aptamer-based systems hold promise for personalized therapies. However, remain understanding precise mechanism biology translation into clinical applications. need further investigation role CSCs potential therapeutic target improve patient outcomes.

Язык: Английский

Процитировано

0
AI-Driven Diagnostics and Personalized Treatment Planning in Oral Oncology: Innovations and Future Directions DOI Creative Commons

R. Satheeskumar

Oral Oncology Reports, Год журнала: 2024, Номер unknown, С. 100704 - 100704

Опубликована: Дек. 1, 2024

Язык: Английский

Процитировано

1
Advances in Preventive and Therapeutic Strategies for Oral Cancer: A Short Review DOI Open Access
Lei Ma, Myoung-Ok Kim

Journal of Cancer Prevention, Год журнала: 2024, Номер 29(4), С. 113 - 119

Опубликована: Дек. 30, 2024

Oral cancer is a major global health concern, with high incidence and mortality rates, especially in high-risk populations.Early diagnosis remains challenge, current treatments, such as surgery, radiation, chemotherapy, have limited effectiveness, particularly advanced stages.Recent advances targeted therapies immunotherapy offer promising alternatives, providing more precise personalized treatment options.Targeted therapies, epidermal growth factor receptor inhibitors, aim to disrupt specific molecular pathways tumor growth, while immunotherapies, including immune checkpoint inhibitors chimeric antigen receptor-T cell therapy, enhance the body's response fight cancer.Combination integrating both strategies, are being explored overcome limitations of single-agent treatments.This review highlights strategies prevention oral cancer, discusses emerging explores future research directions, focusing on optimizing existing identifying new biomarkers, developing innovative therapeutic approaches.The potential medicine combination offers hope for improving survival rates quality life patients.

Язык: Английский

Процитировано

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

и другие.

Опубликована: Дек. 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.

Язык: Английский

Процитировано

0