Hybrid-sensor Breath Analysis for Colorectal Cancer Screening (HYCOR)
试验速览
- 阶段
- 不适用
- 入组人数
- 3,000
- 试验地点
- 1
- 主要终点
- Characteristic VOC pattern identification for colorectal cancer detection
研究概览
简要总结
The aim of this project is to promote the breath volatile marker concept for colorectal cancer (CRC) screening by advancing developing the application of a novel hybrid analyzer for the purpose.
The hybrid analyzer concept is expected to benefit of combining metal-oxide (MOX) and infrared spectrum (IR) sensor acquired data. The current study will be the first globally to address this concept in CRC detection. In addition, traditional methods, in particular, gas chromatography coupled to mass spectrometry (GC-MS) will be used to address the biological relevance of the VOCs emission from cancer tissue and will assist in further advances of the hybrid-sensing approach.
详细描述
For addressing the aims of the project, four specific research objectives have been set:
- To identify cancer-related VOCs emitted by the CRC tissue via the comparison of VOCs emitted from cancer tissue with VOCs emitted by non-cancerous tissue (ex vivo surgery material) by GC-MS.
- To identify the VOCs differentiating human breath from CRC patients and controls (by GC-MS) as well as compare the chemical signature of CRC patients' breath to the chemical signature of cancer tissue.
- To evaluate the performance of the set of sensors in the hybrid analyzer and the performance of particular sensors for detecting CRC; to develop and validate a mathematical model for CRC detection.
- To validate the hybrid analyzer in real-life CRC screening settings, i.e. versus the generally accepted CRC screening approach of faecal occult blood detection.
- To compare faecal microbiome between CRC group and control.
The scientific results to be obtained during the current project are expected to elucidate the origin and metabolism of volatile biomarkers of CRC. This achievement, in turn, will facilitate the implementation of a new screening test based on the newly developed hybrid analyser into medical practice.
Identification of the VOCs patterns by the sensor array for CRC patients when compared to controls. Addressing these objectives will allow an in-depth understanding of the physiological background for exhaled VOCs in CRC patients and facilitate the development of technologies able to identify the disease and its precursors from an exhaled breath sample.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Adult individuals (>18 years of age)
- •Having signed the consent form
- •Willingness to collaborate
- •Able to provide a breath sample
- •For the cancer group: colorectal adenocarcinoma has to be documented histologically (histological diagnosis following gastric surgery is also accepted) or patients being confirmed adenocarcinoma during the course of the study.
- •For the non-cancer group: control group - any patient who have medical indications for a colonoscopy
排除标准
- •The patient has not signed the consent form
- •Patients who have had a complete bowel cleansing
- •Other active malignancies
- •Neoadjuvant chemotherapy, radiation therapy is currently underway
- •Acute conditions (emergency surgery for the patient)
- •Small bowel resection in the past
- •Terminal renal failure (Chronic renal failure stage 4)
- •Type I diabetes
- •Bronchial asthma (active)
结局指标
主要结局
Characteristic VOC pattern identification for colorectal cancer detection
时间窗: 2 years following initiation of patient recruitment
The characteristic VOC pattern based on sensor analysis and its performance indicators will be detected.
Specific chemistry identification in the exhaled breath
时间窗: 2 years following initiation of patient recruitment
Identification of specific chemistries (GC-MS analysis) originating from colorectal cancer. Volatiles will be separated using an Rt-Q-BOND column working in a constant flow of helium. The column temperature program will be optimized toward detection of observed volatiles. The SCAN, will be used for the untargeted analysis and identification of compounds of breath samples as well as for the quantification of more abundant species. Peak integration will be based on extracted ion chromatograms. The identification of compounds will be performed in two steps. The peak spectrum will be checked against the NIST mass spectral library. The NIST identification will be confirmed by comparing the respective retention times with retention times obtained on the basis of standard mixtures prepared from pure compounds. Whenever possible the VOC emission will be quantified using calibration mixtures prepared from pure liquid or gaseous substances.
次要结局
- Gut microbiota analysis in relation to breath VOCs(3 years following initiation of patient recruitment)
- Identification of the best-performing sensors(3 years following initiation of patient recruitment)
研究者
Marcis Leja
Director, Institute of Clinical and Preventive Medicine
University of Latvia