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Multiomics Tumor Evolution Model of NSCLC

P

Peking University

Status

Enrolling

Conditions

Non-small Cell Lung Cancer

Study type

Observational

Funder types

Other

Identifiers

NCT05352035
2021-I2M-5-002

Details and patient eligibility

About

The purpose of this study is to determine the evolutionary mechanism of early-stage non-small cell lung cancer and establish an accurate prognostic model and a recurrence monitoring system by multiomics analysis, which can be helpful for the individual and whole management of lung cancer patients and improve the overall prognosis.

Full description

Lung cancer is the leading cause of cancer-related death globally. Non-small cell lung cancer (NSCLC) accounts for 85% of lung cancer and surgery is still the main treatment strategy. This study will determine the evolutionary mechanism of early-stage non-small cell lung cancer and establish an accurate prognostic model and a recurrence monitoring system by multiomics analysis, which can be helpful for the individual and whole management of lung cancer patients and improve the overall prognosis.

Enrollment

300 estimated patients

Sex

All

Ages

18+ years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  1. Age ≥ 18 years old;
  2. Early-stage NSCLC patients underwent radical surgical resection;
  3. Sufficient tumor tissue and blood sample for study use;
  4. Available clinical-pathologic data, imaging data and follow-up date;
  5. Written informed consent.

Exclusion criteria

  1. History of other malignant tumors;
  2. Evidence of distant metastasis before surgery;
  3. Insufficient tumor tissue or blood sample for study use;
  4. Clinical-pathologic data, imaging data or follow-up date is not available;
  5. Other judgments by the Investigator that the patient should not participate in the study.

Trial design

300 participants in 1 patient group

Prospective cohort
Description:
This cohort will enroll a total of 300 patients prospectively

Trial contacts and locations

1

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Central trial contact

Kezhong Chen, M.D.; Wenxiang Wang

Data sourced from clinicaltrials.gov

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