Bio-behavioral Research At The Intersection of Cancer and Aging

癌症与衰老交叉点的生物行为研究

• 批准号: 8952028
• 负责人: Jeanne Mandelblatt
• 金额: $ 92.93万
• 依托单位: GEORGETOWN UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-08-01 至 2022-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8952028
• 关键词: Adverse effects; Affect; Age; Aging; Aging-Related Process; Award; Basic Science; Behavioral; Behavioral Research; Biological Aging; Cancer Burden; Cancer Survivor; Caring; Clinical; Cognitive; Collaborations; Communication; Data; Early Diagnosis; Emotional; Ensure; Funding; Future; Goals; Growth; Heterogeneity; Individual; Intervention Trial; Laboratories; Left; Life; Longevity; Malignant Neoplasms; Modeling; Older Population; Outcome; Policies; Population; Population Sciences; Productivity; Recording of previous events; Research; Research Infrastructure; Research Personnel; Risk; Role; Series; Survivors; Systemic Therapy; Testing; Training Support; Treatment outcome; aged; aging population; cancer care; cohort; design; experience; frailty; functional decline; functional outcomes; high reward; high risk; innovation; interest; lifestyle factors; lifestyle intervention; malignant breast neoplasm; novel; public health relevance; randomized trial; research study; survivorship; treatment effect

 DESCRIPTION (provided by applicant): We are experiencing unprecedented growth in the numbers of individuals at risk for, or living with cancer due to population aging, greater use of early detection, advances in treatment, and increasing lifespan. By 2030, nearly 50% of the 45 million new cases and 75% of the 20 million cancer survivors will be aged 60 or older ("older"). Most of these older survivors are interested in and will benefit from systemic therapies. However, these treatments often have adverse effects on function, although data are largely from studies with younger survivors. Since only 4% of NCI-funded survivorship research specifically examines outcomes among older survivors, we know little about how the substantial heterogeneity in aging processes ("biological age") affects risk for adverse functional outcomes among those of comparable chronological age. These data are important because they could affect treatment decisions, survivorship care planning, and ability to live independently. This Outstanding Investigator Award will use a bio-behavioral framework to conduct population sciences research at the intersection of cancer and aging to fill these gaps. Data, infrastructure, and established collaborations from an extant NCI-funded older cohort will be leveraged to iteratively build new studies to test novel hypotheses. Such cohorts are the population science equivalent of a basic science laboratory used for a series of experiments. The goals of the high-risk/high-reward studies are to: physical, emotional, social and role function; 1) define long-term trajectories of decline in cognitive, determine bio-behavioral risks for decline; and examine how systemic therapy and lifestyle factors moderate these relationships; 2) conduct exploratory research on biological age markers to determine feasibility and clinical utility for predicting ris and trajectory of functional decline; 3) conduct pilot randomized trials of the impact of lifestyle interventions on biological age markers and functional outcomes; and 4) enhance long-term clinical and policy impact by incorporating data into policy modeling, engaging survivors in design and communication of results, and supporting training. This research is innovative in use of a bio-behavioral framework and inclusion of policy modeling. The findings will move the field forward by shifting the paradigms of research and care for the growing older population; determining whether biological age markers can identify survivors at greatest risk for functional declines; informing future intervention trials; and expanding the limited number of cancer and aging researchers. The PIs history of productivity and strong institutional and collaborative support will ensure that the research will have the intended impact. Overall, the unique population science perspectives of these studies will add important diversity to the multi-disciplinary approaches needed for reducing the burden of cancer in older survivors.

 描述（由适用提供）：我们正经历着由于人口衰老而有癌症或患有癌症的人数的前所未有的增长，早期发现，治疗进展以及寿命的增加。到2030年，在4500万例新病例中，近50％和2000万次癌症存活中的75％将年龄在60岁以上（“较大”）。这些较旧生存的大多数对系统疗法感兴趣，并将受益。但是，这些处理通常对功能产生不利影响，尽管数据主要来自生存年轻的研究。由于只有4％的NCI资助的生存研究专门在较旧的生存中进行了结果，因此我们对衰老过程中的实质异质性（“生物年龄”）如何影响相当年代的不良功能结果的风险。这些数据很重要，因为它们可能会影响治疗决策，生存护理计划以及独立生活的能力。这项杰出的研究者奖将使用生物行为框架在癌症和衰老的交集中进行人口科学研究，以填补这些空白。数据，基础架构， 并从广泛的NCI资助的较旧队列中建立了合作，将利用迭代的研究来构建新的研究以检验新的假设。这样的队列是人群科学等同于用于一系列实验的基础科学实验室。高风险/高回报研究的目标是：身体，情感，社会和角色功能； 1）定义长期 认知，确定的生物行为下降风险下降的轨迹；并研究系统治疗和生活方式因素如何适应这些关系； 2）对生物时代标志物进行探索性研究，以确定预测功能下降的RI和轨迹的可行性和临床实用性； 3）进行生活方式影响的试验随机试验 生物年龄标记和功能结果的干预措施； 4）通过将数据纳入政策建模，使成果的设计和交流以及支持培训来增强长期临床和政策影响。这项研究具有创新的生物行为框架和政策建模的包含。这些发现将通过转移不断增长的老年人群的研究和护理范式来向前推进该领域。确定生物年龄标记是否可以识别出功能下降风险最大的生存；告知未来的干预试验；并扩大有限数量的癌症和老龄化研究人员。 PIS生产力的历史以及强大的机构和协作支持将确保研究将产生预期的影响。总体而言，这些研究的独特人群科学观点将为减少较老生存的癌症所需的多学科方法增加重要的多样性。