CancerCOtreat · Optimizing treatment of cancer patients infected with COVID-19 and other preconditions using mathematical modelling
„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“
- Период
- 2021-05-01 → 2024-04-30
- Финансиране от ЕС
- 256 236 €
- Участници
- 2
- Схема
- MSCA-IF
Линиите свързват координатора с партньорите.
Накратко на български
Математически модели анализират как съществуващи лекарства действат при онкоболни с COVID-19, като отчитат фактори като диабет или възраст. Това помага за определяне на оптимални схеми за лечение и по-добро управление на пациенти с рак и инфекции.
Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.
Резултати накратко
Optimizing treatment of cancer patients infected with COVID-19 and other preconditions using mathematical modelling
The project aims to address the negative impact of COVID-19 on cancer patients, who are at a higher risk of developing severe symptoms due to preexisting conditions such as obesity, diabetes, hypertension, advanced age, and gender. The objective is to repurpose existing drugs to treat COVID-19 in cancer patients and identify optimal treatment regimens using an in silico systems biology approach. The proposed mathematical framework will model the known biology of SARS-CoV-2 infection and the action of approved drugs in the context of cancer patients with different disease states, preconditions, and gender. The model will simulate the effect of COVID-19 in this patient population and explore the efficacy of various treatment regimens to identify synergistic combinations as well as optimal schedules for therapy. The model will be validated using data from the Massachusetts General Hospital patient database. The project is timely because it will reveal novel strategies to optimally combine current and emerging treatments for COVID-19 in cancer patients. Moreover, the proposed model will set a mathematical framework for the optimal treatment of cancer patients contracted by any infectious diseases. The fellowship will allow the applicant to expand his knowledge in tumor/virus biology, cancer research and clinical translation, mathematical modelling, and the analysis of complex biological systems involving multiple medical conditions. In conclusion, the project proposes an innovative approach to optimize the treatment of COVID-19 in cancer patients using existing drugs and mathematical modelling. The findings from this project will have important implications for the clinical management of cancer patients and may be applicable to the treatment of other infectious diseases as well.
Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз
Цел на проекта
Cancer patients are of high risk to develop severe COVID-19, which has a negative impact on their clinical management. Cancer therapy and COVID-19 severity can be also affected negatively by preconditions, including obesity, diabetes, hypertension and advanced age, as well as by the gender. To help cancer patients suffering from COVID-19 and the other preconditions as soon as possible, it will be necessary to repurpose existing and well tolerated drugs - alone or in combination. To accelerate this process, we propose to develop an in silico systems biology approach to model the known biology of SARS-CoV-2 infection and the action of approved drugs overlaid on the underlying pathophysiology of cancer patients with different disease states, preconditions and gender. The proposed mathematical framework will mechanistically model the COVID-19 progression in the context of cancer. We will also simulate the effect of COVID-19 in this patient population and explore the efficacy of various treatment regimens to identify synergistic combinations as well as optimal schedules for therapy. Robust model validation will be performed using data from the Massachusetts General Hospital patient database (host of outgoing phase). This is a very timely research because the proposed mechanism-based model will reveal novel strategies to optimally combine current and emerging treatments for COVID-19 in cancer. Importantly, the proposed model will not be limited to COVID-19 but it will set a mathematical framework for the optimal treatment of cancer patients contracted by any infectious diseases. The fellowship will allow the applicant to substantially built upon his previous experience and strengthen his overall scientific abilities. In particular, he will expand his knowledge in tumor/virus biology, cancer research and clinical translation, will enrich his mathematical modelling capabilities and the analysis of complex biological systems that involve more than one medical conditions.
Оригинален текст от CORDIS (на английски).
Участници
- UNIVERSITY OF CYPRUS · NicosiaКоординаторКипър
- THE GENERAL HOSPITAL CORPORATION · BOSTON MAСъединени щати
Връзки
Данни: CORDIS, © Европейски съюз