Bone Metastases, Lung Cancer, Single Cell Sequencing Technology
Conditions
Brief summary
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.
Interventions
OTHERmodel treatment
the treatment decisions were decided by Machine Learning （ML） model in model treatment group
OTHERroutine treatment
the treatment decisions were decided by multi-disciplinary team （MDT）
Sponsors
Shanghai 6th People's Hospital
Study design
Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
TREATMENT
Masking
NONE
Eligibility
Sex/Gender
ALL
Age
18 Years to 75 Years
Healthy volunteers
No
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
\-
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| SREs（Skeletal related events） | 1 year | occurance of SREs，including bone pain, pathological fractures, spinal cord compression, hypercalcemia, and the need for surgery or radiotherapy |
Countries
China
Outcome results
None listed