Handbrake on hysterectomy: Developing a personalised and fertility sparing pharmacological therapy for uterine fibroid-induced symptoms
Handbrake on hysterectomy: Developing a personalised and fertility sparing pharmacological therapy for uterine fibroid-induced symptoms
批准号:
2887803
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2023
资助国家:
英国
项目状态:
未结题
起止时间:
2023 至 --
中文摘要
子宫肌瘤是子宫壁常见的非癌性肿瘤,影响全世界数百万育龄妇女。它们会导致大量月经出血(HMB),生育能力低下,并对邻近器官施加压力,使女性感到疼痛和不适。患病率随着年龄的增长而增加,到50岁时,每2名妇女中就有1名患有纤维瘤。四分之一的妇女经历HMB,这降低了生活质量;妇女可能无法管理日常生活中的活动,在教育或工作中表现良好,并且由于肌瘤引起的症状,在个人和家庭生活中遇到困难。虽然很常见,但对于保留子宫并因此保留生育能力的肌瘤没有治愈性治疗,许多妇女因该适应症而接受子宫切除术。事实上,子宫肌瘤是世界上子宫切除的主要原因。许多妇女推迟生育,直到晚年,因此,随着年龄的增长,子宫肌瘤更加普遍,导致严重的症状,子宫切除术将阻止他们怀孕。找到保留生育力的药物治疗方法,阻止肌瘤的生长,直到绝经将提高数百万妇女的生活质量,并降低与风险大手术相关的发病率和死亡率。血管生成是必不可少的纤维瘤生长和子宫细胞老化和年龄相关的激素失衡提出尚未充分研究的机制,启动纤维瘤生长。目的:这个博士研究生旨在提高我们对每个肌瘤的不同程度的理解,无论是在同一个女人还是女人之间,了解为什么他们不都以相同的方式对可用的治疗做出反应。环境和学习经验:成功的学生将在多组学水平上学习最新的最先进的技术。结合转录组学,定量蛋白质组学和先进的数据集成和数据科学技术,将提供对疾病的病理生理学的见解。所有的组学技术都将与利物浦大学的专业研究机构合作进行。学生还将学习,全理论(SWATH)质谱蛋白质组学分析的顺序窗口采集和从患者衍生组织和一般实验室和药物测试技能的生理模拟多细胞3D复杂体外模型的开发。 现代科学是多学科的,因此,监督团队将提供专业知识,通过这个令人兴奋的和临床相关的项目,包括临床/转化研究提供各种技能。预期结果:这项研究将使那些希望保留生育能力或避免风险手术的肌瘤妇女受益。它将直接测试实验室产生的数据的临床应用。使用生成的模型,候选人可以从大量已被证明可安全用于人类的药物中识别和选择有效的治疗方法,以在未来的临床试验中进行测试。这将大大缩短开发新的肌瘤治疗方法所需的时间,并为数百万受肌瘤影响的女性提供定制个性化治疗方案的平台。
英文摘要
Fibroids are common non-cancerous tumours of the uterine wall affecting millions of women of childbearing age around the world. They cause heavy menstrual bleeding (HMB), subfertility and exert pressure on the adjacent organs, making women feel pain and discomfort. The prevalence increases with age and 1 in 2 women have fibroids by 50 years. One in four women experience HMB, which reduces quality of life; women may not be able to manage the activities in their day-to-day lives, perform well in their education or job, and have difficulties in their personal and family life due to symptoms caused by fibroids. Although common, there are no curative treatments for fibroids that preserve the uterus and thus, fertility, and many women undergo hysterectomy for this indication. In fact, fibroids are the main reason for hysterectomy in the world. Many women delay their childbearing until later in life, thus, fibroids being more prevalent with age cause severe symptoms and hysterectomy will prevent them conceiving. Finding fertility-sparing medical treatments that stops the growth of fibroids until menopause will improve the quality of life of millions of women, and reduce the morbidity and mortality associated with risky major surgery. Angiogenesis is essential for fibroid growth and uterine cellular ageing and age-associated hormonal imbalance are proposed yet understudied mechanisms that initiate fibroid growth. Aim: This PhD studentship seeks to improve our understanding of how different each fibroid is, both in the same woman and between women, to understand why they do not all respond to available treatments in the same way. It also aims to identify druggable targets to develop future novel treatments.Environment and learning experience: The successful student will be taught latest state-of-the-art techniques at a multi-omics level. Combining transcriptomics, quantitative proteomics and advance data integration and data science techniques and will provide insights on the pathophysiology of the disease. All omics techniques will be undertaken in partnership with specialised research facilities at the University of Liverpool. The student will also learn, Sequential Window Acquisition of All Theoretical (SWATH) mass spectrometry proteomics analysis and development of physio-mimetic multicellular 3D complex in vitro models from patient derived tissue and general lab and drug testing skills. Modern science is multidisciplinary and as such, the supervisory team will provide expertise exemplifying the diverse range of skills offered through this exciting and clinically relevant project that includes clinical/translational research. Expected outcome: This research will benefit women with fibroids who want either to preserve their fertility or avoid risky surgery. It will directly test the clinical application of the data generated in the laboratory. Using the models generated, the candidate can identify and choose effective treatments from a large number of available drugs that have already proven to be safe to use in humans to test in future clinical trials. This will significantly shorten the time taken to develop new treatments for fibroids and will also provide a platform to tailor personalised treatment regimens for the millions of women impacted by fibroids.
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