SIGNALING METASTATES · Signaling Networks of Ovarian Cancer Metastates, Stem Cells and Maturation Phenotypes
7РП — „Хора“ (Действия „Мария Кюри“)
- Период
- 2011-01-01 → 2013-12-31
- Финансиране от ЕС
- 244 440 €
- Участници
- 1
- Схема
- MC-IOF
Линиите свързват координатора с партньорите.
Накратко на български
Сигналните мрежи при рака на яйчниците се анализират, за да се разбере как клетките преминават от стволови към по-зрели форми. Това помага да се открият слабите места в защитата на тумора и подходящи точки за терапевтична намеса.
Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.
Цел на проекта
Tumors are by definition both variable and highly adaptive, allowing them to grow beyond their original onset site and invade other organs, and in the process evading physiological intra and extracellular anti-tumor responses, and sometimes chemotherapy. This study proposes that ovarian cancers, and the heterogeneous cells that compose them, can be defined as a cell population(s) with an immature surface and signaling phenotype (with attendant self-replicative capacities) as well as a population(s) of cells with a more 'mature cell' phenotype. The expectation is that these two stages define a parent-daughter cell hierarchy and that this series of maturation events can be modeled akin to normal differentiation – with a set of pools of cells with a defined, stable phenotype linked to each other through transition state intermediates. Here, I apply a single cell systems biology approach to map signaling states at each stage of this proposed cancer-associated differentiation of ovarian cancer using perturbation mapping and high throughput systems biology approaches. The proposal will define the mechanistic underpinnings of ovarian cancer stem cells and the more mature phenotypes, the signaling states of cancer stem cells and daughter cells within patients that are resistant to cancer therapy, and finally a map that delineates the robustness profiles of the cancer-associated differentiation signaling networks and thereby optimal entry points for therapeutic interventions.
Оригинален текст от CORDIS (на английски).
Участници
- EUROPEAN MOLECULAR BIOLOGY LABORATORY · HeidelbergКоординаторГермания
Връзки
Данни: CORDIS, © Европейски съюз
