Development of in vitro diagnostic multivariate index assay using liquid-based cervical cytology specimen and/or serum/plasma biomarkers for the detection of early stage or low-volume ovarian cancer

使用液基宫颈细胞学标本和/或血清/血浆生物标志物开发体外诊断多变量指数测定法,用于检测早期或低体积卵巢癌

基本信息

  • 批准号:
    10376915
  • 负责人:
  • 金额:
    $ 30.91万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2016
  • 资助国家:
    美国
  • 起止时间:
    2016-04-01 至 2023-03-31
  • 项目状态:
    已结题

项目摘要

 DESCRIPTION (provided by applicant): We have assembled a multidisciplinary team including biomarker researchers, cancer biologist, pathologist, gynecologic oncologist, proteomic technologists, and experts in biostatistics, epidemiology, and bioinformatics to establish a Biomarker Developmental Laboratory for the NCI's Early Detection Research Network with the objective to develop an in vitro diagnostic multivariate index assay (IVDMIA) to detect ovarian cancer at low tumor volume. The intended use of such a test is to further enrich ovarian cancer prevalence in high-risk populations to allow for cost-effective additional workup tests. The rationale is based on 1) prognosis of ovarian cancer patients, in addition to stage/grade at diagnosis, is affected by the initial size of the metastatic disease and the size of residual disease after cytoreductive surgery; and 2) newly developed cancer-specific biomarkers detecting mutant DNAs in liquid-based cervical cytology specimens and circulating tumor DNA (ctDNA) in plasma have demonstrated a remarkable specificity. We hypothesize that combining such biomarkers with additional sensitive and disease burden-associated biomarkers in an IVDMIA will allow us to detect ovarian cancer at low volume which currently represents an unmet clinical need.


项目成果

期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Sub-millimeter endoscope demonstrates feasibility of in vivo reflectance imaging, fluorescence imaging, and cell collection in the fallopian tubes.
  • DOI:
    10.1117/1.jbo.26.7.076001
  • 发表时间:
    2021-07
  • 期刊:
  • 影响因子:
    3.5
  • 作者:
    Cordova R;Kiekens K;Burrell S;Drake W;Kmeid Z;Rice P;Rocha A;Diaz S;Yamada S;Yozwiak M;Nelson OL;Rodriguez GC;Heusinkveld J;Shih IM;Alberts DS;Barton JK
  • 通讯作者:
    Barton JK
{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

IE-MING SHIH其他文献

IE-MING SHIH的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('IE-MING SHIH', 18)}}的其他基金

A multidisciplinary BCC for ovarian cancer early detection: translating discoveries to clinical use with a by-design approach
用于卵巢癌早期检测的多学科 BCC:通过设计方法将发现转化为临床应用
  • 批准号:
    10673186
  • 财政年份:
    2022
  • 资助金额:
    $ 30.91万
  • 项目类别:
Role of cancer-associated mutations in endometriosis
癌症相关突变在子宫内膜异位症中的作用
  • 批准号:
    10626987
  • 财政年份:
    2019
  • 资助金额:
    $ 30.91万
  • 项目类别:
Role of cancer-associated mutations in endometriosis
癌症相关突变在子宫内膜异位症中的作用
  • 批准号:
    9979935
  • 财政年份:
    2019
  • 资助金额:
    $ 30.91万
  • 项目类别:
Role of cancer-associated mutations in endometriosis
癌症相关突变在子宫内膜异位症中的作用
  • 批准号:
    10381500
  • 财政年份:
    2019
  • 资助金额:
    $ 30.91万
  • 项目类别:
"Exploring the potential of SYK inhibitors to sensitize ovarian cancer to the anti-tumor effects of paclitaxel"
“探索 SYK 抑制剂使卵巢癌对紫杉醇抗肿瘤作用敏感的潜力”
  • 批准号:
    10222607
  • 财政年份:
    2018
  • 资助金额:
    $ 30.91万
  • 项目类别:
Admin Core
管理核心
  • 批准号:
    10478839
  • 财政年份:
    2018
  • 资助金额:
    $ 30.91万
  • 项目类别:
SPORE in Ovarian Cancer
卵巢癌中的孢子
  • 批准号:
    10478838
  • 财政年份:
    2018
  • 资助金额:
    $ 30.91万
  • 项目类别:
"Exploring the potential of SYK inhibitors to sensitize ovarian cancer to the anti-tumor effects of paclitaxel"
“探索 SYK 抑制剂使卵巢癌对紫杉醇抗肿瘤作用敏感的潜力”
  • 批准号:
    10478850
  • 财政年份:
    2018
  • 资助金额:
    $ 30.91万
  • 项目类别:
SPORE in Ovarian Cancer
卵巢癌中的孢子
  • 批准号:
    9975108
  • 财政年份:
    2018
  • 资助金额:
    $ 30.91万
  • 项目类别:
Admin Core
管理核心
  • 批准号:
    10222601
  • 财政年份:
    2018
  • 资助金额:
    $ 30.91万
  • 项目类别:

相似海外基金

CAREER: Blessing of Nonconvexity in Machine Learning - Landscape Analysis and Efficient Algorithms
职业:机器学习中非凸性的祝福 - 景观分析和高效算法
  • 批准号:
    2337776
  • 财政年份:
    2024
  • 资助金额:
    $ 30.91万
  • 项目类别:
    Continuing Grant
CAREER: From Dynamic Algorithms to Fast Optimization and Back
职业:从动态算法到快速优化并返回
  • 批准号:
    2338816
  • 财政年份:
    2024
  • 资助金额:
    $ 30.91万
  • 项目类别:
    Continuing Grant
CAREER: Structured Minimax Optimization: Theory, Algorithms, and Applications in Robust Learning
职业:结构化极小极大优化:稳健学习中的理论、算法和应用
  • 批准号:
    2338846
  • 财政年份:
    2024
  • 资助金额:
    $ 30.91万
  • 项目类别:
    Continuing Grant
CRII: SaTC: Reliable Hardware Architectures Against Side-Channel Attacks for Post-Quantum Cryptographic Algorithms
CRII:SaTC:针对后量子密码算法的侧通道攻击的可靠硬件架构
  • 批准号:
    2348261
  • 财政年份:
    2024
  • 资助金额:
    $ 30.91万
  • 项目类别:
    Standard Grant
CRII: AF: The Impact of Knowledge on the Performance of Distributed Algorithms
CRII:AF:知识对分布式算法性能的影响
  • 批准号:
    2348346
  • 财政年份:
    2024
  • 资助金额:
    $ 30.91万
  • 项目类别:
    Standard Grant
CRII: CSR: From Bloom Filters to Noise Reduction Streaming Algorithms
CRII:CSR:从布隆过滤器到降噪流算法
  • 批准号:
    2348457
  • 财政年份:
    2024
  • 资助金额:
    $ 30.91万
  • 项目类别:
    Standard Grant
EAGER: Search-Accelerated Markov Chain Monte Carlo Algorithms for Bayesian Neural Networks and Trillion-Dimensional Problems
EAGER:贝叶斯神经网络和万亿维问题的搜索加速马尔可夫链蒙特卡罗算法
  • 批准号:
    2404989
  • 财政年份:
    2024
  • 资助金额:
    $ 30.91万
  • 项目类别:
    Standard Grant
CAREER: Efficient Algorithms for Modern Computer Architecture
职业:现代计算机架构的高效算法
  • 批准号:
    2339310
  • 财政年份:
    2024
  • 资助金额:
    $ 30.91万
  • 项目类别:
    Continuing Grant
CAREER: Improving Real-world Performance of AI Biosignal Algorithms
职业:提高人工智能生物信号算法的实际性能
  • 批准号:
    2339669
  • 财政年份:
    2024
  • 资助金额:
    $ 30.91万
  • 项目类别:
    Continuing Grant
DMS-EPSRC: Asymptotic Analysis of Online Training Algorithms in Machine Learning: Recurrent, Graphical, and Deep Neural Networks
DMS-EPSRC:机器学习中在线训练算法的渐近分析:循环、图形和深度神经网络
  • 批准号:
    EP/Y029089/1
  • 财政年份:
    2024
  • 资助金额:
    $ 30.91万
  • 项目类别:
    Research Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了