Translation of a biomarker panel for the early detection of hepatocellular carcinoma

用于早期检测肝细胞癌的生物标志物组的翻译

基本信息

  • 批准号:
    10020367
  • 负责人:
  • 金额:
    $ 51.89万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2019
  • 资助国家:
    美国
  • 起止时间:
    2019-09-18 至 2024-08-31
  • 项目状态:
    已结题

项目摘要

This application proposes to translate our identification of a biomarker panel for hepatocellular carcinoma to commercial and clinical use. We have identified a specific post-translation modification that is altered in HCC. This alteration is a shift in the composition of N-linked glycans found on proteins made in and secreted by HCC cells. Many of the proteins containing this glycan alteration have been identified and patented. Our strong preliminary evidence has shown that some of these proteins, when combined with existing biomarkers and clinical factors, have excellent discriminatory ability between those with HCC and those with cirrhosis. Importantly, our biomarker efforts have focused on the detection of early stage lesions using our current biomarker panel, which is a simple logistic regression algorithm composed of fucosylated kininogen, alpha- fetoprotein (AFP), alkaline phosphatase (ALK), aspartate aminotransferase (AST), age and gender. Called the kininogen panel, it had an area under the receiver operator curve (AUROC) of 0.97 for the differentiation of early stage HCC from cirrhosis. In an independent external validation of this panel, in three independent cohorts this panel had an AUROC of 0.92 to 0.97 in the detection of early stage HCC. Thus our enthusiasm for this biomarker panel is high. To fully understand the clinical and commercial benefits of any biomarker, a large scale clinical validation study that is appropriate powered is essential. Hence, the two goals of this application are to validate the kininogen panel for the detection of early stage HCC at the time of HCC diagnosis (Aim 1) and determine when in time an individual becomes biomarker positive prior to developing HCC (Aim 2). At the completion of these two aims, Glycotest will have validated this biomarker panel and have confidence in its performance. Glycotest's strategy is focused on commercialization of its tests as Laboratory Developed Test (LDT) service products. These tests will be marketed to and ordered by specialists who care for the patient populations at risk for liver cancers and fibrosis-cirrhosis. LDTs are tests developed and run in a single "CLIA lab" regulated by the Center for Medicare & Medicaid Services (CMS) through the Clinical Laboratory Improvement Amendments (CLIA). The LDT business model has been used successfully by many other US companies that have commercialized tests as service products in multiple disease areas. The Company will establish an internal selling and marketing capability focused initially on major influential medical centers and key opinion leader sites as well as the west coast and east coast geographical areas, and will pursue a strategy for establishing Medicare reimbursement that it has developed in collaboration with external experts.
本申请提出将我们对肝细胞癌的生物标志物组的鉴定转化为 商业和临床应用。我们已经确定了一个特定的翻译后修饰,在HCC中改变。 这种改变是在HCC中产生和分泌的蛋白质上发现的N-连接聚糖组成的变化 细胞许多含有这种聚糖改变的蛋白质已经被鉴定并获得专利。我们强大 初步证据表明,当与现有的生物标志物结合时, 临床因素对HCC和肝硬化患者有很好的区分能力。 重要的是,我们的生物标志物的努力集中在检测早期病变,使用我们目前的 生物标志物组,其是由岩藻糖基化激肽原、α- 甲胎蛋白(AFP)、碱性磷酸酶(ALK)、天冬氨酸转氨酶(AST)、年龄和性别。称为 激肽原面板,它具有0.97的受试者操作曲线下面积(AUROC),用于区分早期 肝硬化的HCC分期。在该小组的独立外部验证中,在三个独立的队列中, 该组在早期HCC检测中的AUROC为0.92至0.97。因此,我们对这种生物标志物的热情 面板很高。为了充分了解任何生物标志物的临床和商业效益, 验证研究,是适当的权力是必不可少的。因此,该应用程序的两个目标是验证 在HCC诊断时检测早期HCC的激肽原组(目的1),并确定 当个体在发展HCC之前及时变为生物标志物阳性时(目标2)。完成时 这两个目标,Glycotest将验证这个生物标志物面板,并有信心在其性能。 Glycotest的战略重点是将其测试商业化,作为实验室开发测试(LDT)服务 产品.这些测试将被销售给那些照顾有风险的患者群体的专家并由他们订购 治疗肝癌和肝纤维化LDT是在由美国食品药品监督管理局监管的单一“CLIA实验室”中开发和运行的测试。 医疗保险和医疗补助服务中心(CMS)通过临床实验室改进修正案 (CLIA)。LDT的商业模式已被许多其他美国公司成功地使用, 将商业化检测作为多个疾病领域的服务产品。公司将建立内部 销售和营销能力最初集中在主要有影响力的医疗中心和关键意见领袖网站 以及西海岸和东海岸的地理区域,并将推行建立医疗保险的战略, 它与外部专家合作开发的补偿。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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

{{ 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 }}

JORGE A MARRERO其他文献

JORGE A MARRERO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('JORGE A MARRERO', 18)}}的其他基金

Translation of a biomarker panel for the early detection of hepatocellular carcinoma
用于早期检测肝细胞癌的生物标志物组的翻译
  • 批准号:
    10227998
  • 财政年份:
    2019
  • 资助金额:
    $ 51.89万
  • 项目类别:
Translation of a biomarker panel for the early detection of hepatocellular carcinoma
用于早期检测肝细胞癌的生物标志物组的翻译
  • 批准号:
    10686284
  • 财政年份:
    2019
  • 资助金额:
    $ 51.89万
  • 项目类别:
Translation of a biomarker panel for the early detection of hepatocellular carcinoma
用于早期检测肝细胞癌的生物标志物组的翻译
  • 批准号:
    10478012
  • 财政年份:
    2019
  • 资助金额:
    $ 51.89万
  • 项目类别:
Early Detection and Prognosis of Patients with Hepatocellular Carcinoma
肝细胞癌患者的早期检测和预后
  • 批准号:
    7361367
  • 财政年份:
    2007
  • 资助金额:
    $ 51.89万
  • 项目类别:
STUDY OF SORAFENIB IN PATIENTS WITH ADVANCED HEPATOCELLUL
索拉非尼治疗晚期肝细胞癌患者的研究
  • 批准号:
    7603805
  • 财政年份:
    2007
  • 资助金额:
    $ 51.89万
  • 项目类别:
Early Detection and Prognosis of Patients with Hepatocellular Carcinoma
肝细胞癌患者的早期检测和预后
  • 批准号:
    7240344
  • 财政年份:
    2007
  • 资助金额:
    $ 51.89万
  • 项目类别:
Complications of Cirrhosis in American Patients
美国患者肝硬化的并发症
  • 批准号:
    7035385
  • 财政年份:
    2004
  • 资助金额:
    $ 51.89万
  • 项目类别:
Complications of Cirrhosis in American Patients
美国患者肝硬化的并发症
  • 批准号:
    6858708
  • 财政年份:
    2004
  • 资助金额:
    $ 51.89万
  • 项目类别:
Complications of Cirrhosis in American Patients
美国患者肝硬化的并发症
  • 批准号:
    7390640
  • 财政年份:
    2004
  • 资助金额:
    $ 51.89万
  • 项目类别:
Complications of Cirrhosis in American Patients
美国患者肝硬化的并发症
  • 批准号:
    6775974
  • 财政年份:
    2004
  • 资助金额:
    $ 51.89万
  • 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:
    $ 51.89万
  • 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:
    $ 51.89万
  • 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:
    $ 51.89万
  • 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:
    $ 51.89万
  • 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:
    $ 51.89万
  • 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:
    $ 51.89万
  • 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:
    $ 51.89万
  • 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:
    $ 51.89万
  • 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:
    $ 51.89万
  • 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:
    $ 51.89万
  • 项目类别:
    Research Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了