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临床试验/NCT05633342
NCT05633342招募中不适用

Development and Validation of a Blood Test for Screening and Early Detection of Multiple Cancers Based on Circulating Cell-free Nucleic Acid Profiles - Project CADENCE (CAncer Detected Early caN be CurEd)

MiRXES Pte Ltd1 个研究点 分布在 1 个国家目标入组 15,000 人开始时间: 2022年7月7日最近更新:
适应症

试验速览

阶段
不适用
状态
招募中
入组人数
15,000
试验地点
1
主要终点
To develop the best-performing multi-omic multi-cancer biomarker panel by integration and/or optimization of single-cancer panels and develop the corresponding Multi-Cancer Early detection Algorithm (MCEA).

研究概览

简要总结

With existing evidence showing the difference in miRNA expression levels between non-cancer and cancer groups, the investigators assume that levels of DNA methylation, RNA expression as well as protein concentration will also be dysregulated during disease progression. Combining the power of multi-omic cancer biomarkers, the investigators hypothesize that the sensitivity and specificity of MiRXES MCST can be significantly improved compared to existing multi-cancer diagnostic tests.

In this study, the investigators propose to develop and validate blood-based, multi-cancer screening tests through a multi-omics approach.

详细描述

This study consists of four (4) objectives:

  • Characterize intra-cellular multi-omic profiles of cancer and adjacent normal tissues to aid the selection of circulating cancer biomarkers.
  • Select and verify circulating multi-omic cancer biomarkers by characterizing the circulating multi-omic profiles of the peripheral blood of cancer patients, high-risk, increased-risk, and healthy controls, guided by tissue-based cancer omics profiles.
  • Develop multi-cancer screening in vitro diagnostic assay(s) based on the selected blood-borne circulating multi-omic cancer biomarker panel(s) and build algorithm(s) to distinguish cancer cases from control groups.
  • Clinically validate the performance (AUC, sensitivity, specificity) of the multi-cancer screening assay(s) and algorithm(s)

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Other

入排标准

年龄范围
21 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • Healthy average-risk cohort Individuals representing the general population who self-declare to have no cancer history and have no indications suggestive of underlying cancer development. Subjects will be recruited from a state-of-the-art population study.
  • Increased-risk (genetic/familial) cohort Individuals carrying certain germline mutations that predispose the subjects to an increased risk of having cancer than the general population. Subjects will be recruited from Cancer Genetics Service (CGS).
  • High-risk cohort Individuals diagnosed with diseases that have a high risk of progressing to cancer.
  • Malignant cohort Individuals diagnosed with cancer. Wherever possible, samples for the 'Malignant group' should have a representation of each cancer stage.

排除标准

  • Pregnant or lactating (self-declaration), unwilling or unable to provide signed informed consent and has or had received chemotherapy or radiotherapy for cancer treatment and/or any other cancer-related treatment.

结局指标

主要结局

To develop the best-performing multi-omic multi-cancer biomarker panel by integration and/or optimization of single-cancer panels and develop the corresponding Multi-Cancer Early detection Algorithm (MCEA).

时间窗: through study completion, an average of 2.5 years

To develop in vitro diagnostic assay(s) for the Multi-Cancer Screening Test (MCST) and if appropriate Single-Cancer Screening Tests (SCSTs).

时间窗: through study completion, an average of 2.5 years

To discover novel intracellular RNA and methylated DNA cancer biomarkers in fresh frozen tumor tissues.

时间窗: through study completion, an average of 2.5 years

To evaluate the clinical performance (AUC, sensitivity, specificity, tissue of origin) of the MCST and if appropriate SCSTs to discriminate cancer cases from control groups.

时间窗: through study completion, an average of 2.5 years

To select the best-performing multi-omic single-cancer, biomarker panels for each of the cancer types, and develop the corresponding Single-Cancer Early detection Algorithms (SCEAs).

时间窗: through study completion, an average of 2.5 years

To discover and validate novel cell-free RNA and methylated cell-free DNA cancer biomarkers in the peripheral blood of cancer patients.

时间窗: through study completion, an average of 2.5 years

次要结局

  • Secondary outcome: • To explore the relationship between MCST/SCSTs with clinical outcomes based on the collection of longitudinal follow-up information from medical records.(through study completion, an average of 2.5 years)

研究者

申办方类型
Industry
责任方
Sponsor

研究点 (1)

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