Multi-dimensional Signatures for Precisely Predicting the Response and Prognosis of Lung Cancer Patients (Pred-lung)

July 26, 2021 updated by: Wuhan Union Hospital, China
This study aims to determine the clinical effectiveness of multi-dimensional signatures in predicting response and prognosis of lung cancer patients. The study is a multi-center perspective research of treatment planning for patients with lung cancer. To characterize clinical effectiveness, the progression-free survival (PFS) and overall survival (OS) impacts of multi-dimensional signatures will be estimated.

Study Overview

Status

Recruiting

Conditions

Detailed Description

Multi-dimensional signatures, including NGS-based genotyping, and other essential detections such as immunohistochemistry (IHC), provides an opportunity to improve outcomes for patients by tailoring treatments to each individual's genomic profile. This is a multi-center single arm research study integrating multi-dimensional signatures into clinical decision-making for patients with lung cancer. The clinical effectiveness of multi-dimensional signatures is unknown in the real-world of clinics. To identify a counterfactual for Pred-lung approach, matching methods combined with administrative healthcare data will be used. The survival impacts of Pred-lung approach compared to usual care in matched controls will then be estimated.

Study Type

Observational

Enrollment (Anticipated)

200

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

    • Hubei
      • Wuhan, Hubei, China, 430000
        • Recruiting
        • Wuhan Union Hospital
        • Contact:

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Patients with locally-advanced or metastasis lung cancer

Description

Inclusion Criteria:

  • Patients with locally-advanced or metastasis lung cancer
  • Life expectancy > 3 months

Exclusion Criteria:

  • Age at diagnosis <18
  • refuse to enroll

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: Cohort
  • Time Perspectives: Prospective

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
PFS
Time Frame: through study completion, an average of 6 months
Progression-free survival
through study completion, an average of 6 months

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
OS
Time Frame: through study completion, an average of 1 year
Overall survival
through study completion, an average of 1 year

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

January 1, 2021

Primary Completion (Anticipated)

December 30, 2023

Study Completion (Anticipated)

December 30, 2024

Study Registration Dates

First Submitted

July 11, 2021

First Submitted That Met QC Criteria

July 26, 2021

First Posted (Actual)

July 28, 2021

Study Record Updates

Last Update Posted (Actual)

July 28, 2021

Last Update Submitted That Met QC Criteria

July 26, 2021

Last Verified

July 1, 2021

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

Undecided

IPD Plan Description

Individual participant data (IPD) are available upon reasonable requests.

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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