Improving the Early Detection of Lung Cancer by Combining Exosomal Analysis of Hypoxia With Standard of Care Imaging (LungExoDETECT)
Lung Cancer Detection Using Blood Exosomes and HRCT- Improving the Early Detection of Lung Cancer by Combining Exosomal Analysis of Hypoxia With Standard of Care Imaging
研究概览
地位
条件
详细说明
Lung cancer is the leading cause of cancer deaths. Screening for early detection of cancer at an early stage reduces cancer deaths and therefore improves prognosis. The National Lung Screening Trial (NLST), for instance, showed that CT screening increases the early detection rate, and reduces mortality. However, drawbacks include over-diagnosis, false-positive results, psychological distress and cost. Therefore, lung cancer screening is not recommended or available within the NHS.
Diagnosis of lung cancer is currently based on a combination of scans and tissue biopsy. The invasive nature of current diagnostic procedures limits their application. To improve the efficacy and cost effectiveness of screening in early detection of lung cancer, additional, complementary and non-invasive methods, such as circulating biomarkers, should be evaluated. Our novel exosomal assay (taken from a blood sample) when combined with CT, may improve the current accuracy of lung cancer detection, especially that of a worse clinical prognosis. Improvement in the accuracy of detection and/or prediction of future disease by performing the combined imaging exosome test will cause a paradigm shift. Moving towards the identification of blood tests can help increase confidence about follow-up decisions and shorten the interval before biopsy.
This prospective cohort study will recruit patients referred to secondary care for the investigation of clinical symptoms or signs suspicious of lung cancer.
The study will run between 2020 and 2024 (two-year active recruitment and two-year follow up).
Participants will have a single assay of blood taken on one occasion in the lung clinic by trained staff.
Participants will have normal standard of care chest CT scans and this data will be used.
All participants will be actively followed for 3 months and then those with nodules, revealed by CT Scan, at 3 monthly intervals. Longitudinal clinical data will be collected on the investigations, diagnoses and outcomes of all study patients.
Data will be collected on date, type and results of imaging and biopsy investigations including nodule size and progression.
For those diagnosed with lung cancer, data on tumour size, stage, type and other markers) will be recorded together with treatment response and date of death, where this occurs within the study.
研究类型
注册 (预期的)
联系人和位置
学习联系方式
- 姓名:Carina Cruz, MRes
- 电话号码:01438 284435
- 邮箱:carina.cruz@nhs.net
学习地点
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Stevenage、英国、SG1 4AB
- 招聘中
- Borthwick Research Unit, Lister Hospital
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接触:
- Carina Cruz, MRes
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参与标准
资格标准
适合学习的年龄
接受健康志愿者
有资格学习的性别
取样方法
研究人群
描述
Inclusion Criteria:
- Over 18 years of age
- Suspected clinical diagnosis of lung cancer
- Able to provide informed consent
Exclusion Criteria:
-Synchronous other cancer types.
学习计划
研究是如何设计的?
设计细节
- 观测模型:队列
- 时间观点:预期
研究衡量的是什么?
主要结果指标
结果测量 |
措施说明 |
大体时间 |
|---|---|---|
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Describe the range of exosomal expression of P4HA1 in participants being clinically assessed for a suspected lung cancer diagnosis and compare the range of expression between the cancer and non-cancer participant population.
大体时间:Through study completion, an average of 2 years.
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Describe the expression of hypoxia- response element (HRE) responsible protein P4HA1 utilising a hypoxia-reporting cancer exosomal assay in participants being clinically assessed for suspected lung cancer.
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Through study completion, an average of 2 years.
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次要结果测量
结果测量 |
措施说明 |
大体时间 |
|---|---|---|
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Describe the range of expression of precursor microRNA in exosomes derived from participants being clinically assessed for suspected lung cancer and compare the range of expression between the cancer and non-cancer participant population.
大体时间:Through study completion, an average of 2 years.
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Utilise exosome-based assessment of pre-microRNA processing to inform the development of a hypoxia gene signature for the early detection of lung cancer.
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Through study completion, an average of 2 years.
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Develop a combined risk score combining multi-dimensional parameters to discriminate between cancer cases and non-cancer cases.
大体时间:Through study completion, an average of 2 years.
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To develop a combined risk prediction model to support the early diagnosis of lung cancer.
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Through study completion, an average of 2 years.
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合作者和调查者
调查人员
- 首席研究员:Thida Win, MD、Lister Hospital
研究记录日期
研究主要日期
学习开始 (实际的)
初级完成 (预期的)
研究完成 (预期的)
研究注册日期
首次提交
首先提交符合 QC 标准的
首次发布 (实际的)
研究记录更新
最后更新发布 (实际的)
上次提交的符合 QC 标准的更新
最后验证
更多信息
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