Improving lung cancer risk prediction for never-smokers in Taiwan

Validation and Optimization of Multidimensional Modelling for Never Smoking Lung Cancer Risk Prediction by Multicenter Prospective Study

Observational Chung Shan Medical University · NCT05572944

This study is trying to improve how we predict lung cancer risk for people in Taiwan who have never smoked by looking at environmental factors and genetic markers.

Quick facts

Study typeObservational
Enrollment10000 (estimated)
Ages20 Years to 80 Years
SexAll
SponsorChung Shan Medical University Academic / other
Locations7 sites (Taichung, Taiwan and 6 other locations)
Trial IDNCT05572944 on ClinicalTrials.gov

What this trial studies

This observational study aims to enhance the accuracy of lung cancer risk prediction models specifically for never-smokers in Taiwan. It involves validating existing models by integrating environmental and occupational factors, as well as assessing autoantibodies and genetic markers associated with lung cancer. The study will utilize machine learning algorithms to optimize these models and collect urine samples for further analysis. By focusing on the unique demographic of never-smokers, the research seeks to address the rising incidence of lung cancer in this population.

Who should consider this trial

Good fit: Ideal candidates are Taiwanese individuals aged 50-80 who have first-degree relatives diagnosed with lung cancer.

Not a fit: Patients with a previous history of lung cancer or other malignancies, or those unable to tolerate necessary procedures, may not benefit from this study.

Why it matters

Potential benefit: If successful, this study could lead to more accurate lung cancer screening and early detection for never-smokers, potentially saving lives.

How similar studies have performed: While there have been studies focusing on lung cancer prediction, this approach targeting never-smokers with a comprehensive model is relatively novel.

Eligibility criteria

Show full inclusion / exclusion criteria
Inclusion Criteria:

1. Age 50-80 years old
2. First-degree relatives of lung cancer patients

   * aged more than 50 - 80 years old
   * or older than the age at diagnosis of the youngest lung cancer the proband in the family if they are less than 50 years old

Exclusion Criteria:

1. Previous history of lung cancer
2. Another malignancy except for cervical carcinoma in situ or non-melanomatous carcinoma of the skin within 5 years
3. An inability to tolerate transthoracic procedures or thoracotomy
4. Chest CT examination was performed within 18 months
5. Hemoptysis of unknown etiology within one month
6. Body weight loss of more than 6 kg within one year without an evident cause
7. A known pregnancy

Where this trial is running

Taichung, Taiwan and 6 other locations

Study contacts

How to participate

  1. Review the eligibility criteria above with your treating physician.
  2. Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
  3. Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.
Conditions Lung CancerLung cancerLow-dose computed tomographyMachine learning
Last reviewed 2026-06-13 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.