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
연구 개요
상태
상태
정황
정황
상세 설명
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.
연구 유형
연구 유형
등록 (예상)
등록
연락처 및 위치
연구 연락처
연구 연락처
- 이름: Carina Cruz, MRes
- 전화번호: 01438 284435
- 이메일: carina.cruz@nhs.net
연구 장소
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Stevenage, 영국, SG1 4AB
- 모병
- Borthwick Research Unit, Lister Hospital
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연락하다:
- Carina Cruz, MRes
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참여기준
자격 기준
자격 기준
공부할 수 있는 나이
건강한 자원 봉사자를 받아들입니다
연구 대상 성별
샘플링 방법
연구 인구
설명
Inclusion Criteria:
- Over 18 years of age
- Suspected clinical diagnosis of lung cancer
- Able to provide informed consent
Exclusion Criteria:
-Synchronous other cancer types.
공부 계획
연구는 어떻게 설계됩니까?
디자인 세부사항
- 관찰 모델: 보병대
- 시간 관점: 유망한
연구는 무엇을 측정합니까?
주요 결과 측정
주요 결과 측정
결과 측정 |
측정값 설명 |
기간 |
|---|---|---|
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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.
기간: 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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2차 결과 측정
2차 결과 측정
결과 측정 |
측정값 설명 |
기간 |
|---|---|---|
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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.
기간: 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.
기간: 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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공동 작업자 및 조사자
수사관
수사관
- 수석 연구원: Thida Win, MD, Lister Hospital
연구 기록 날짜
연구 주요 날짜
연구 시작 (실제)
연구 시작
기본 완료 (예상)
기본 완료
연구 완료 (예상)
연구 완료
연구 등록 날짜
최초 제출
최초 제출
QC 기준을 충족하는 최초 제출
QC 기준을 충족하는 최초 제출
처음 게시됨 (실제)
처음 게시됨
연구 기록 업데이트
마지막 업데이트 게시됨 (실제)
마지막 업데이트 게시됨
QC 기준을 충족하는 마지막 업데이트 제출
QC 기준을 충족하는 마지막 업데이트 제출
마지막으로 확인됨
마지막으로 확인됨
추가 정보
이 연구와 관련된 용어
키워드
기타 연구 ID 번호
기타 연구 ID 번호
- 261766
개별 참가자 데이터(IPD) 계획
개별 참가자 데이터(IPD)를 공유할 계획입니까?
약물 및 장치 정보, 연구 문서
미국 FDA 규제 의약품 연구
미국 FDA 규제 기기 제품 연구
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