跳至主要内容
临床试验/NCT02024113
NCT02024113已完成不适用

Search for Biomarkers to Detect Lung Cancer by Means of a NMR Spectroscopic Analysis of Blood Plasma

Hasselt University2 个研究点 分布在 1 个国家目标入组 646 人开始时间: 2013年2月最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
发起方
入组人数
646
试验地点
2
主要终点
Metabolic phenotype of lung cancer

研究概览

简要总结

Lung cancer is the most common cancer in men and the fourth most common cancer in women worldwide. Until today no effective method permits the early detection of lung cancer. Consequently, lung cancer is often diagnosed owing to symptoms of advanced disease. To address this problem, detection methods with an improved sensitivity and specificity are urgently needed.

Over the past decade, accumulating evidence shows that the metabolism of cancer cells differs from that of normal cells. More specifically, the entire metabolism of cancer cells is reorganized or reprogrammed to increase anabolic reactions that induce cell growth and survival. Metabolic reprogramming during the development of cancer is driven by aberrant signaling pathways due to the activation of oncogenes and the loss of tumor suppressor genes. Furthermore, the microenvironment of the tumor plays a role in metabolic reprogramming. The altered cancer metabolism is characterized by an increased glycolysis, the production of lactate and the biosynthesis of macromolecules, such as proteins, lipids and nucleotides. Cancer cells have a high glycolytic rate and eliminate most of the glucose-derived carbon as lactate rather than oxidizing it completely via oxidative phosphorylation, a phenomenon known as the Warburg effect. The breakdown of glucose and other nutrients leads to a high energy production and provides the Krebs cycle with intermediates, which consequently are allocated to metabolic pathways that support biosynthesis. Metabolites are the end products of cellular metabolism and are therefore closely related to the observed phenotype. Disturbances in biochemical pathways which occur during the development of cancer consequently provoke changes in the metabolic phenotype. As a result, low-molecular weight metabolites are very attractive biomarkers for different cancer types. Nuclear magnetic resonance (NMR) spectroscopy enables the identification and quantitative analysis of complex mixtures of metabolites, as in plasma and serum, without an extended sample preparation.

The present study aims to determine the metabolic phenotype of lung cancer by means of proton (1H)-NMR spectroscopy. Once the phenotype determined (training cohort), this has to be validated by an independent cohort.

详细描述

Subjects Subjects with lung cancer detected by a computed tomography (CT)-scan and referred to a positron emission tomography (PET)/CT-scan are included. The diagnosis of lung cancer is confirmed by means of an pathological biopsy or by a medical doctor specialized in oncology with respect to radiological or clinical data. The control group consists of subjects who were referred to the department Nuclear Medicine for an examination of the heart. This control group represents the average population, consists of healthy subjects and patients with non-cancer diseases and did not undergo a PET/CT-scan. Exclusion criteria are as follows: (1) not fasted for at least 6 hours, (2) poorly controlled diabetes (fasting plasma glucose concentration ≥ 200 mg/dl) in cancer patients, (3) medication intake at the day of blood sampling and (4) treatment or history of cancer in the preceding 5 years.

The training cohort consists of 80 subject with lung cancer and 80 controls. The validation cohort consist of 250 subject with lung cancer and 250 controls.

Blood sampling and processing Fasting venous blood samples (BD Vacutainer® LH 17 I.U. 10 ml tube) are collected and stored at 4°C within 5 to 10 minutes. Around 8 hours after blood collection, blood samples are transported on crushed ice to the central laboratory and centrifuged at room temperature (swinging bucket centrifuge, 1600 g, 15 minutes). Subsequently, 4 plasma aliquots of 500 µl are transferred into sterile cryovials and stored at -80°C until examination within 6 months. When subjects give permission to store their biological material, 3 aliquots are stored at the University Biobank Limburg (UBiLim) for biomedical research purposes.

Prior to NMR analysis, plasma aliquots are thawed and homogenized using a vortex mixer. After centrifugation at 13000 g for 4 minutes at 4°C (fixed rotor Eppendorf centrifuge 5415 R, Hamburg, Germany), plasma aliquots are diluted in deuterium oxide (D2O, 99.9%, Cambridge Isotope Laboratories Inc, Andover, USA) containing 180 µg/µl trimethylsilyl-2,2,3,3-tetradeuteropropionic acid (TSP, 98%, Cambridge Isotope Laboratories Inc, Andover, USA) as a chemical shift reference. Finally, the prepared plasma samples are transferred into a 5 mm NMR tube and analyzed.

1H-NMR analyses and assignment of present resonances The 1H-NMR spectra are recorded on a 400 Megahertz (MHz) NMR spectrometer (Varian/Agilent, Nuclear Magnetic Resonance Instruments, Palo Alto, California, USA) with a magnetic field strength of 9.4 Tesla at 294 K. Slightly T2- weighted spectra are acquired using a Carr-Purcell-Meiboom-Gill (CPMG) pulse sequence to attenuate signals of macromolecules, such as proteins and polysaccharides. Additionally, water suppression is performed in order to allow optimal detection and quantification of low-molecular weight metabolites. The 1H-NMR spectra are phased manually, baseline corrected and referenced to the TSP resonance at 0.015 parts per million (ppm). The assignment of the present 1H-NMR resonances occurs by means of spiking experiments. A reference plasma sample is alternately spiked with 34 known metabolites with a concentration of 1 mg compound per 100 µl plasma. The obtained chemical shifts are double checked with Chenomx NMR suite software (Version 7.5, Chenomx Inc., Edmonton, Alberta, Canada). Finally, 1H-NMR spectra are divided in 112 spectral regions, which are integrated and normalized relative to the total integrated area of all spectral regions, irrespective of the remaining water, TSP, fructose and glucose resonances. The end result corresponds to 110 normalized integration regions (all integration regions except those of water and TSP).

研究设计

研究类型
Observational
观察模型
Case Control
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

入选标准

  • Diagnosis of a new lesion in the lung

排除标准

  • a prior diagnosis of cancer in the past
  • Not fasted for at least 6 hours
  • Plasma glucose concentration ≥ 200 mg/dl
  • Intake of medication at the day of investigation
  • History/treatment of cancer in the previous 5 years

结局指标

主要结局

Metabolic phenotype of lung cancer

时间窗: day1

Plasma: metabolic phenotype by NMR spectroscopy

次要结局

  • Overall survival(the entire duration of the study)
  • Progression-free survival(the entire duration of the studie)
  • Histology(once)
  • Stage(once)

研究者

发起方
Hasselt University
申办方类型
Other
责任方
Principal Investigator
主要研究者

Prof. dr. Michiel Thomeer

prof. dr.

Hasselt University

研究点 (2)

Loading locations...

相似试验

LC-NMR Study Biomarkers to Detect Lung Cancer | 临床试验