Comprehensive Multi-Omics Analysis of Early-Stage Lung Cancer Exhibiting Distinct Phenotypes

Status: Recruiting
Location: See location...
Study Type: Observational
SUMMARY

The goal of this observational study is to investigate the multi-omics characterization early-stage lung cancer exhibiting distinct phenotypes including lung cancer associated with cystic airspaces, multiple primary lung cancers, and so on. The main questions it aims to answer are: * What are the differences in pathogenesis of non-small cell lung cancer with different phenotypes explored by multi-omics? * Whether differential genes lead to potential prognostic models and therapeutic targets? Participants will be followed up after surgery to answer prognosis: whether they have recurred, and the time to recurrence.

Eligibility
Participation Requirements
Sex: All
Minimum Age: 18
Healthy Volunteers: f
View:

• Male or female patients:18-75 years old;

• ECOG score:0-1;

• Histopathologically confirmed TNM stage I-II NSCLC;

• Considered multiple or solitary primary lung cancer by clinical criteria (Martini-Melamed criteria and ACCP criteria);

• Good compliance, family members agree to cooperate to receive survival follow-up;

• Understand and voluntarily sign the informed consent.

• Male or female patients:18-75 years old;

• ECOG score:0-1;

• Histopathologically confirmed TNM stage I-II NSCLC;

• CT findings show solitary or multiple nodules with cystic airspaces.

Locations
Other Locations
China
The Second Xiangya Hospital of Central South University
RECRUITING
Changsha
Contact Information
Primary
Chen Chen
chenchen1981412@csu.edu.cn
+8673185295188
Time Frame
Start Date: 2024-08-29
Estimated Completion Date: 2027-12-31
Participants
Target number of participants: 300
Treatments
Non-small cell lung cancer
Early-stage lung cancer exhibiting distinct phenotypes including lung cancer associated with cystic airspaces, multiple primary lung cancers, and so on.
Sponsors
Leads: Central South University

This content was sourced from clinicaltrials.gov