CTC in Lung Caner Patients With Bone Metastases

August 9, 2021 updated by: Zhao Hui, Shanghai 6th People's Hospital

Clinical Reasearch on Three Dimensional Bionic Capture Network Circulating Tumor Cell in Lung Caner Patients With Bone Metastases

  1. Evaluate the feasibility of single cell sequencing technology based on three-dimensional bionic capture network;
  2. To build a risk prediction model of bone related events based on single cell sequencing;
  3. To verify the risk prediction model of bone related events by single cell sequencing;
  4. To verify the comprehensive treatment of non-small cell lung cancer ( NSCLC) bone metastases.

Study Overview

Study Type

Interventional

Enrollment (Anticipated)

160

Phase

  • Not Applicable

Contacts and Locations

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

Study Locations

    • Other (Non U.s.)
      • Shanghai, Other (Non U.s.), China, 200233
        • Recruiting
        • Shanghai Sixth People's 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 to 75 years (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Description

Inclusion Criteria:

  1. age 18-75 years
  2. pathology-proven diagnosis of lung cancer and radiographical/pathological evidence of BM
  3. no previous treatment for BM
  4. good general condition (Eastern Cooperative Oncology Group, ECOG Performance scores: 0-2) with an estimated survival time > 3 months.

Exclusion Criteria:

-

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

  • Primary Purpose: Treatment
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Active Comparator: routine treatment
the treatment decisions were decided by multi-disciplinary team (MDT)
Experimental: model treatment
the treatment decisions were decided by Machine Learning (ML) model in model treatment group

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
SREs(Skeletal related events)
Time Frame: 1 year
occurance of SREs,including bone pain, pathological fractures, spinal cord compression, hypercalcemia, and the need for surgery or radiotherapy
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)

October 1, 2020

Primary Completion (Anticipated)

March 31, 2022

Study Completion (Anticipated)

December 31, 2022

Study Registration Dates

First Submitted

March 6, 2020

First Submitted That Met QC Criteria

September 23, 2020

First Posted (Actual)

September 29, 2020

Study Record Updates

Last Update Posted (Actual)

August 12, 2021

Last Update Submitted That Met QC Criteria

August 9, 2021

Last Verified

August 1, 2021

More Information

Terms related to this study

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

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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