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A Prospective Cohort Study of Chinese Patients With Pulmonary Nodules: Prediction of Lung Cancer Using Noninvasive Biomarkers

A Prospective Cohort Study of Chinese Patients With Pulmonary Nodules: Prediction of Lung Cancer Using Noninvasive Biomarkers

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT04462185
Enrollment
3000
Registered
2020-07-08
Start date
2020-07-01
Completion date
2024-12-31
Last updated
2023-05-24

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Pulmonary Nodules

Keywords

Noninvasive Biomarkers, Lung Cancer, Computed Tomography (CT), Nasal epithelium

Brief summary

The broad goals of this study is to identify changes in genomic landscape during transition from stage 0 to stage 1 lung cancer. This study intends to determine whether diagnostic biomarkers measured in minimally invasive biospecimens are able to correlate molecular, clinical and imaging features to distinguish malignant from benign pulmonary nodules. The diagnostic markers once validated can be used as broad screening tools for lung cancer.

Detailed description

The four-year study aims to recruit 3000 patients (1500 GGO and 1500 solid / semi solid nodules) in the study based on qualifying for a lung cancer screening CT or by routine CT chest with the observation of a lung nodule between 5-30mm diameter. These patients will be followed for 2\ 3 years and be managed according to institutional standard of care. This may involve the Chinese Thoracic Society guideline or Fleischner criteria (either 2013 or 2017 guidelines). The clinical data, CT imaging and biospecimens will be collected during each visit. Once a patient undergoes surgery, tissue samples (FFPE) from surgery will also be collected. The gold standard for lung cancer diagnosis will be the results of bronchoscopic biopsy of lung or lymph nodes, percutaneous biopsy of lung or other organ sites, surgical biopsy or resection, or a minimum follow-up of 2 years.

Interventions

DIAGNOSTIC_TESTA genomic and transcriptomic landscape analysis

A genomic and transcriptomic landscape analysis will be developed to identify and characterize the transcriptome of benign versus malignant by using RNA sequencing, and to profile cfDNA in blood samples collected from patients with pulmonary nodules.

Sponsors

The First Affiliated Hospital of Guangzhou Medical University
CollaboratorOTHER
Tongji Hospital
CollaboratorOTHER
Qilu Hospital of Shandong University
CollaboratorOTHER
Shanghai Zhongshan Hospital
CollaboratorOTHER
West China Hospital
CollaboratorOTHER
Beijing Chao Yang Hospital
CollaboratorOTHER
Johnson & Johnson (China) Investment Ltd.
CollaboratorINDUSTRY
AnchorDx Medical Co., Ltd.
Lead SponsorINDUSTRY

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

* 18 Years and older, both male and female * Willing and able to provide a written informed consent * Radiologic diagnosis of solid indeterminate pulmonary nodule (5-30 mm) OR semi-solid (mixed density) nodule with solid component of at least 5mm OR non-solid nodule (including pGGO); must be of appropriate size at enrollment, but nodule(s) may have been first identified within 12 months prior. Furthermore, nodule(s) \< 5 mm in size may have been first identified greater than 12 months prior to enrollment though it must grow into the appropriate size range (5-30 mm) within 12 months prior to enrollment. If multiple nodules were diagnosed, choose the most representative one with the longest diameter as the target lesion; if two or more nodules are of the same largest size, choose the one with the perpendicular longest diameter * CT scan completed within 3 months prior to enrollment * Agree to tolerate all biospecimen collection as required by protocol * Agree to comply with standard of care follow up visits including clinical exams, diagnostic work-ups, and imaging for 2\ 3 years from enrollment * Agree to fill out Patient Lung History Questionnaire

Exclusion criteria

* History or previous diagnosis of primary lung cancer, metastatic lung cancer, or any other non-lung cancer within 5 years (exceptions are adequately treated squamous and basal cell carcinomas of the skin, carcinoma in situ of the cervix or breast) * Any receipt of cytotoxic agents within the past 6 months * Any symptoms of lung cancer (unexplained weight loss, recent hemoptysis) * Pregnant or lactating women * Underwent invasive biopsy procedures (e.g. bronchoscopies or CT-guided transthoracic biopsies) before enrollment * Receipt of transfusion within 30 days prior to enrollment * Fail to understand or provide a written informed consent

Design outcomes

Primary

MeasureTime frameDescription
The changes in genomic landscape related to progression from Stage 0 to Stage I lung cancer that could be utilized for early lung cancer diagnosis and intervention.3 YearsThe transcriptome of benign versus malignant by using RNA sequencing. The cfDNA in blood samples collected from patients with pulmonary nodules.

Secondary

MeasureTime frameDescription
The biomarker changes in nasal epithelium and matching blood and tissue samples so as to validate molecular tests using nasal epithelium to predict lung cancer.3 YearsThe biomarker change in nasal epithelium to predict lung cancer.
The individual or combinations of clinical, molecular, and imaging features can reliably identify individuals with indeterminate lung nodules 5-30 mm who have lung cancer3 YearsThe individual or combination of clinical, molecular, and imaging features can reliably identify individuals who have lung cancer

Countries

China

Contacts

Primary ContactBo WANG
bo_wang@anchordx.com+86-15920405979
Backup ContactWenhua LIANG, MD
liangwh1987@163.com+86-13710249454

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026