权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

Dynamic prediction incorporating time-varying covariates for the onset of breast cancer

结合时变协变量的乳腺癌发病动态预测

基本信息

批准号：
10709203
负责人：
Shu Jiang
金额：
$ 21.02万
依托单位：
WASHINGTON UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2021
资助国家：
美国
起止时间：
2021-07-01 至 2025-06-30
项目状态：
未结题

项目摘要

PROJECT SUMMARY Triple negative breast cancer (TNBC) is an aggressive subtype of breast cancer with limited treatment options and poor survival. Approximately 12% to 17% of women with breast cancer are diagnosed with TNBC. Women with TNBC have relatively poor outcomes and cannot be treated with targeted therapies. However, the risk of TNBC is not uniform across all race-ethnic groups of the US population. Review of epidemiologic risk factors and TNBC incidence shows limited insight to variation in risk or risk reduction with the exception of history of breast feeding and higher vegetable and grain intake. We aim to bring personalized dynamic prediction to improve the current TNBC risk classification paradigm to make full use of the longitudinal information, in addition to the baseline information, where risk prediction/stratification can be updated as new observations are gathered to reflect the woman’s latest health- and behavioral-related status. Specifically, we aim to investigate 5- and 10-year TNBC risk prediction performance by proposing novel statistical methods that fully utilize the personalized mammogram-based risk factors from repeated mammogram images. The proposed study capitalizes on the WashU TNBC cohort with rich digital mammograms with well-studied BC risk factors, 10 years of follow-up and pathology confirmed incident TNBC. All proposed statistical methods will be supplemented by R code that we will make publicly available.

项目摘要三阴性乳腺癌（TNBC）是一种侵袭性乳腺癌亚型，具有有限的免疫反应性。治疗选择和生存率低。大约12%至17%的乳腺癌患者诊断为TNBC。患有TNBC的妇女的结果相对较差，无法治疗有针对性的治疗然而，TNBC的风险在所有种族-族裔群体中并不一致。美国人口。流行病学风险因素和TNBC发病率的审查显示，风险或风险降低的变化，但母乳喂养史除外，蔬菜和谷物的摄入量。我们的目标是带来个性化的动态预测，以提高目前的TNBC风险分类模式，以充分利用纵向信息，除基线信息外，风险预测/分层可更新为新的收集观察结果，以反映妇女的最新健康和行为相关状况。具体而言，我们的目标是调查5年和10年TNBC风险预测性能，新的统计方法，充分利用个性化的基于乳房X光检查的风险因素，重复的乳房X光照片。拟议的研究利用了WashU TNBC队列，丰富的数字乳腺X线照片，充分研究了BC风险因素，10年随访和病理学 TNBC确认的事件。所有提出的统计方法都将由R代码补充，将公开提供。

项目成果

期刊论文数量（10）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Association and Prediction Utilizing Craniocaudal and Mediolateral Oblique View Digital Mammography and Long-Term Breast Cancer Risk.

DOI：
10.1158/1940-6207.capr-22-0499
发表时间：
2023-09-01
期刊：
CANCER PREVENTION RESEARCH
影响因子：
3.3
作者：
Chen, Simin;Tamimi, Rulla M.;Colditz, Graham A.;Jiang, Shu
通讯作者：
Jiang, Shu

Longitudinal Analysis of Change in Mammographic Density in Each Breast and Its Association With Breast Cancer Risk.

DOI：
10.1001/jamaoncol.2023.0434
发表时间：
2023-06-01
期刊：
JAMA oncology
影响因子：
28.4
作者：
Jiang S;Bennett DL;Rosner BA;Colditz GA
通讯作者：
Colditz GA

Repeated measures of mammographic density and texture to evaluate prediction and risk of breast cancer: a systematic review of the methods used in the literature.

DOI：
10.1007/s10552-023-01739-2
发表时间：
2023-11
期刊：
CANCER CAUSES & CONTROL
影响因子：
2.3
作者：
Anandarajah, Akila;Chen, Yongzhen;Stoll, Carolyn;Hardi, Angela;Jiang, Shu;Colditz, Graham A.
通讯作者：
Colditz, Graham A.