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临床试验/NCT03836417
NCT03836417已完成不适用

Molecular Diagnosis of Idiopathic Interstitial Pneumonias: a Prospective Study

London Health Sciences Centre Research Institute and Lawson Research Institute of St. Joseph's1 个研究点 分布在 1 个国家目标入组 55 人开始时间: 2019年6月28日最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
入组人数
55
试验地点
1
主要终点
Reproducibility of gene expression profiles on surgical lung biopsies

研究概览

简要总结

Molecular diagnosis of idiopathic interstitial pneumonias is an innovative way to potentially improve the diagnostic accuracy of surgical lung biopsies (SLBs), introducing molecular classifiers of idiopathic pulmonary fibrosis (IPF) vs. non-specific interstitial pneumonia (NSIP) vs. chronic hypersensitivity pneumonitis (CHP).

The investigators hypothesize that pre-defined gene expression profiles previously identified on large lung explants can still be identified and reproducible on smaller, clinically available surgical lung biopsies (SLBs), and can be used to increase diagnostic accuracy during multi-disciplinary discussion.

The investigators also hypothesize that the expression level of individual, preselected genes that accurately differentiate IPF from NSIP and CHP on lung explants can be reproduced on SLBs.

The investigators will isolate RNA from SLBs obtained from patients with IIP and perform microarray analysis to verify the reproducibility of gene expression profiles on SLBs. Individual genes expression levels will be determined by RT-PCR.

The diagnosis will be determined by MDD and further validated by prospective follow-up of patients for a period of 3 years.

The investigators will assess the impact of molecular diagnostic techniques on interobserver agreement during multi-disciplinary discussion.

The investigators will prospectively follow the clinical course of patients after SLB for a period of 3 years to validate the diagnosis, and asses the diagnostic accuracy of molecular techniques.

详细描述

Aim of the study This is a prospective, observational trial to collect samples of SLB, extract RNA, analyze transcriptional profiles by microarray, and validate previously identified gene expression profiles and individual genes expression levels against the diagnosis of IIP (IPF vs. NSIP vs. CHP), defined by multi-disciplinary discussion, and further confirmed by subsequent clinical course. There is no experimental drug involved.

Specific objectives:

  1. Test and validate the reproducibility of gene expression profiles of IPF and NSIP on the transcriptome obtained from surgical lung biopsies (lung homogenates), prospectively collected.
  2. Test the gene expression profiles of IPF, NSIP and CHP, respectively, as predictors of 3-year survival from the time of biopsy.
  3. Test individual gene expression levels (markers of NSIP or IPF) in lung homogenates from SLB with real-time RT-PCR, as discriminators of IPF vs. NSIP.
  4. Test and validate molecular predictors of lung-transplant survival regardless of the underlying interstitial pattern.

Although the diagnosis of IPF or NSIP will be established by multi-disciplinary discussion, as per guidelines, in order to further validate gene signatures and singles genes as reliable discriminators of IPF vs. NSIP, we will prospectively follow the clinical course of patients for a period of 3 years, to make sure that the clinical course is consistent with either IPF (worse) or NSIP (better). The average clinical courses of IPF and NSIP are clearly established by our 6-year interstitial lung disease database experience.

Assessment of expected outcomes:

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

入选标准

  • 未提供

排除标准

  • 未提供

结局指标

主要结局

Reproducibility of gene expression profiles on surgical lung biopsies

时间窗: February 2019-January 2022

Proportion of patients (% of the total) with reproducible predefined gene expression profiles of either IPF or NSIP on surgical lung biopsy.

次要结局

  • Prognostic impact of selected genes expression levels(February 2019-January 2025)
  • Prognostic impact of gene expression profiles of IPF and NSIP(February 2019-January 2025)

研究者

研究点 (1)

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