Personalized assessment of bladder cancer treatment response using urinary molecular biomarkers

使用尿液分子生物标志物对膀胱癌治疗反应进行个性化评估

基本信息

项目摘要

Bladder cancer is the sixth most common cancer in the U.S., has one of the highest recurrence rates of all solid cancers, and is the most expensive cancer to treat from diagnosis to death. Veterans are at increased risk for bladder cancer due higher rates of tobacco use and environmental exposure. There are significant unmet needs for biomarkers and molecular diagnostic tools to better inform decision making across all stages of bladder cancer. For patients with early stage disease, current diagnostic approaches are either invasive (e.g. cystoscopy) or lack sensitivity (e.g. urine cytology). We propose to develop molecular diagnostics that will lead to more effective and personalized therapeutic strategies for patients with localized bladder cancer. Tumor-derived nucleic acids in biological fluids such as urine represent promising biomarkers for non-invasive measurement of disease burden and response to therapy. Previously, we developed a pipeline for bladder cancer biomarker discovery, validation, and technology integration for clinical translation. We applied high throughput RNA sequencing of urinary sediments as a biomarker discovery tool and identified a urinary mRNA (u-mRNA) panel with promising diagnostic performance. In parallel, we validated an integrated microfluidics cartridge capable of “sample-in, answer-out” within 90 minutes using a separate u-mRNA panel. Our recent preliminary data indicate further improvement of diagnostic performance by combining the two panels within the integrated cartridge. Based on these promising preliminary data, we propose three specific aims: 1) to validate the optimized mRNA panel for bladder cancer surveillance and risk stratification; 2) to validate the optimized u- mRNA panel to improve bladder cancer screening and assess risk stratification; and 3) to validate the optimized u-mRNA panel for response assessment and monitoring in patients with high risk NMIBC treated with BCG immunotherapy. Our team is led by experienced academic VA investigators with complimentary expertise in molecular diagnostics (Liao), urologic oncology (Liao, Leppert), and clinical validation study design (Liao, Yu). Successful completion of the studies proposed here will serve as a foundation for incorporating urine-based biomarkers in bladder cancer surveillance and into prospective clinical trials to assess therapeutic interventions. We foresee that our approach will allow personalization of treatment strategies to improve outcomes for BC patients in both veterans and the general population.
膀胱癌是美国第六大最常见的癌症,是所有固体癌症中复发率最高的之一

项目成果

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JOSEPH C LIAO其他文献

JOSEPH C LIAO的其他文献

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{{ truncateString('JOSEPH C LIAO', 18)}}的其他基金

Intraoperative integration of artificial intelligence during cystoscopic surgery
膀胱镜手术中人工智能的术中整合
  • 批准号:
    10365872
  • 财政年份:
    2022
  • 资助金额:
    --
  • 项目类别:
Intraoperative integration of artificial intelligence during cystoscopic surgery
膀胱镜手术中人工智能的术中整合
  • 批准号:
    10544344
  • 财政年份:
    2022
  • 资助金额:
    --
  • 项目类别:
BCCMA: Basic and Translational Mechanisms of Cancer Initiation of the Urothelium in Veterans Exposed to Carcinogens: Leveraging Artificial Neural Networks to Enhance Detection of Carcinoma in situ
BCCMA:暴露于致癌物的退伍军人尿路上皮癌症发生的基本和转化机制:利用人工神经网络增强原位癌的检测
  • 批准号:
    10260145
  • 财政年份:
    2021
  • 资助金额:
    --
  • 项目类别:
MagSToNE - a magnetic system for kidney stone fragment elimination
MagSToNE - 用于消除肾结石碎片的磁性系统
  • 批准号:
    10354258
  • 财政年份:
    2021
  • 资助金额:
    --
  • 项目类别:
MagSToNE - a magnetic system for kidney stone fragment elimination
MagSToNE - 用于消除肾结石碎片的磁性系统
  • 批准号:
    10491338
  • 财政年份:
    2021
  • 资助金额:
    --
  • 项目类别:
BCCMA: Basic and Translational Mechanisms of Cancer Initiation of the Urothelium in Veterans Exposed to Carcinogens: Leveraging Artificial Neural Networks to Enhance Detection of Carcinoma in situ
BCCMA:暴露于致癌物的退伍军人尿路上皮癌症发生的基本和转化机制:利用人工神经网络增强原位癌的检测
  • 批准号:
    10513315
  • 财政年份:
    2021
  • 资助金额:
    --
  • 项目类别:
Personalized assessment of bladder cancer treatment response using urinary molecular biomarkers
使用尿液分子生物标志物对膀胱癌治疗反应进行个性化评估
  • 批准号:
    10514572
  • 财政年份:
    2020
  • 资助金额:
    --
  • 项目类别:
Personalized assessment of bladder cancer treatment response using urinary molecular biomarkers
使用尿液分子生物标志物对膀胱癌治疗反应进行个性化评估
  • 批准号:
    10015540
  • 财政年份:
    2020
  • 资助金额:
    --
  • 项目类别:
A Droplet-based single cell platform for pathogen identification and AST
用于病原体识别和 AST 的基于 Droplet 的单细胞平台
  • 批准号:
    8875827
  • 财政年份:
    2015
  • 资助金额:
    --
  • 项目类别:
A Droplet-based single cell platform for pathogen identification and AST
用于病原体识别和 AST 的基于 Droplet 的单细胞平台
  • 批准号:
    9038992
  • 财政年份:
    2015
  • 资助金额:
    --
  • 项目类别:

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