Trends of disparities in breast cancer progression and health care considering multilevel risk factors

考虑多层次危险因素的乳腺癌进展和医疗保健差异趋势

• 批准号: 10835483
• 负责人: Qingzhao Yu
• 金额: $ 23.31万
• 依托单位: LSU HEALTH SCIENCES CENTER
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-08-07 至 2024-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10835483
• 关键词: Address; Administrative Supplement; Adoption; Affect; African American; Archives; Award; Behavior; Big Data; Breast Cancer Patient; Code; Collaborations; Complex; Computer software; Computers; Data; Data Set; Development; Diagnosis; Disparity; Drops; Effectiveness of Interventions; Environment; Epidemiology; Goals; Graph; Health; Health Disparities Research; Health trends; Healthcare; High Performance Computing; Hispanic Populations; Individual; Intervention; Knowledge; Language; Louisiana; Machine Learning; Maintenance; Mediating; Mediation; Mediator; Methods; Modeling; Monitor; Non-linear Models; Outcome; Parents; Physical environment; Policies; Prevention; Provider; Public Health; Recurrent Malignant Neoplasm; Reporting; Research; Research Personnel; Risk Factors; Running; Scientist; Social Environment; Social Sciences; Software Engineering; Statistical Methods; Structure; Techniques; Technology; Testing; Time; United States; Visual; Writing; breast cancer progression; breast cancer survival; cancer recurrence; cloud based; cost; disparity reduction; economic disparity; effective intervention; experience; health disparity; improved; machine learning algorithm; malignant breast neoplasm; multidimensional data; novel; oncotype; open source; parallel computer; parallelization; personalized medicine; programs; racial disparity; social; software development; tool; treatment strategy; trend; user-friendly

A Scalable Cloud-based Platform for Multiple Mediation Analysis The primary objective of the parent award (#MD012387-02) is to examine the trend of racial disparity in the use of Oncotype diagnosis among breast cancer patients. It also aims to monitor how social and physical environments, as well as individual behaviors, contribute to the racial disparities in breast cancer outcomes. To achieve these goals, the parent award focuses on developing novel mediation and moderation analysis methods using state-of-the-art machine learning algorithms and software. These methods can help identify and differentiate risk factors that explain health disparities and their changes over time, considering the potential nonlinear associations and complicated interaction effects involved. As part of the parent award, an R package mma has been generated for the newly developed method. The goal of this administrative supplement proposal is to expand the use of mma by collaborating with a software engineer in two ways. Firstly, build an interactive visual interface with drag-and-drop functionalities to enable users who are not familiar with the R language to take advantage of the R package. Secondly, refactor the mma functions to enable the use of parallel computing and GPU support in the cloud high-performance computing environment. In summary, the proposal seeks to make the advanced technology accessible and promote the widespread adoption of the novel mediation and moderation method among researchers.

用于多重中介分析的可扩展的基于云的平台 家长奖（#MD012387-02）的主要目标是研究种族趋势 乳腺癌患者中使用 Oncotype 诊断的差异。它还旨在监控 社会和自然环境以及个人行为如何影响种族 乳腺癌结果的差异。为了实现这些目标，家长奖的重点是 使用最先进的机器开发新颖的中介和调节分析方法 学习算法和软件。这些方法可以帮助识别和区分风险因素 考虑到潜在的非线性，解释了健康差异及其随时间的变化 涉及关联和复杂的相互作用效应。 作为家长奖励的一部分，已经为新开发的 R 包 mma 生成了 方法。该行政补充提案的目标是通过以下方式扩大 MMA 的使用： 以两种方式与软件工程师合作。首先，构建交互式可视化界面 具有拖放功能，使不熟悉 R 语言的用户能够 利用 R 包。其次，重构 mma 函数以允许使用 云高性能计算环境中的并行计算和GPU支持。 总之，该提案旨在使先进技术易于获取并促进 研究人员广泛采用新颖的调解和调节方法。

项目成果

Impact of chemotherapy relative dose intensity on cause-specific and overall survival for stage I-III breast cancer: ER+/PR+, HER2- vs. triple-negative.

化疗相对剂量强度对 I-III 期乳腺癌的病因特异性生存率和总体生存率的影响：ER /PR、HER2- 与三阴性乳腺癌。

• 发表时间: 2018-05
• 影响因子: 3.8
• 作者: Zhang, Lu;Yu, Qingzhao;Wu, Xiao;Hsieh, Mei;Loch, Michelle;Chen, Vivien W;Fontham, Elizabeth;Ferguson, Tekeda
• 通讯作者: Ferguson, Tekeda

Neighborhood disadvantage and racial disparities in colorectal cancer incidence: a population-based study in Louisiana.

结直肠癌发病率的邻里劣势和种族差异：路易斯安那州的一项基于人口的研究。

• 发表时间: 2018
• 影响因子: 5.6
• 作者: Danos, Denise M;Ferguson, Tekeda F;Simonsen, Neal R;Leonardi, Claudia;Yu, Qingzhao;Wu, Xiao;Scribner, Richard A
• 通讯作者: Scribner, Richard A

Multiple mediation analysis with survival outcomes: With an application to explore racial disparity in breast cancer survival.

生存结果的多重中介分析：应用程序探索乳腺癌生存的种族差异。

• 发表时间: 2019-02-10
• 影响因子: 2
• 作者: Yu, Qingzhao;Wu, Xiaocheng;Li, Bin;Scribner, Richard A
• 通讯作者: Scribner, Richard A

Trend and survival benefit of Oncotype DX use among female hormone receptor-positive breast cancer patients in 17 SEER registries, 2004-2015.

2004-2015 年 17 个 SEER 注册中心的女性激素受体阳性乳腺癌患者使用 Oncotype DX 的趋势和生存获益。

• 发表时间: 2020-04
• 影响因子: 3.8
• 作者: Zhang, Lu;Hsieh, Mei;Petkov, Valentina;Yu, Qingzhao;Chiu, Yu;Wu, Xiao
• 通讯作者: Wu, Xiao

Using SAS Macros for Multiple Mediation Analysis in R.

在 R 中使用 SAS 宏进行多重中介分析。

• 发表时间: 2020
• 作者: Fisher, Paige;Cao, Wentao;Yu, Qingzhao
• 通讯作者: Yu, Qingzhao