The Predictive Value of Proteome Profiling for Brain Metastasis in Limited-Stage Small-Cell Lung Cancer
NCT ID: NCT06483919
Last Updated: 2024-07-03
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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ACTIVE_NOT_RECRUITING
228 participants
OBSERVATIONAL
2023-10-01
2025-01-30
Brief Summary
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Detailed Description
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In the current study, the investigators have analyzed the proteome profiling using Data-independent Acquisition mass spectrometry (DIA-MS) method in formalin-fixed paraffin-embedded (FFPE) tissues from patients with limited-stage small-cell lung cancer. The prognostic biomarkers were developed based on machine learning in the non-PCI group. Patients in the non-PCI group were classified into modeling cohort and external validation cohort . Furthermore, the prognostic value of the candidate biomarkers be evaluated in a prospective cohort . Based on the brain metastasis model, patients were divided into high- and low-risk groups. The benefit value of PCI was analyzed in high-risk and low-risk groups.
Conditions
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Study Design
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CASE_CONTROL
RETROSPECTIVE
Study Groups
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SCLC patients with brain metastasis
No interventions assigned to this group
SCLC patients without brain metastasis
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
2. Histological / pathologic proved limited-stage small-cell lung cancer
3. Achieved a complete response (CR) or partial response (PR) after first-line CRT
Exclusion Criteria
2. Brain MRI was not performed during treatment and follow-up
3. The follow-up time was less than 2 years
4. Patients presenting with other known malignancies for which they are receiving treatment
18 Years
ALL
No
Sponsors
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Jinming Yu
OTHER
Responsible Party
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Jinming Yu
Director of the hospital
Principal Investigators
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Xiangjiao Meng, PhD
Role: STUDY_DIRECTOR
Shandong Cancer Hospital and Institute
Locations
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Shandong Cancer Hospital and Institute
Jinan, Shandong, China
Countries
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Other Identifiers
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LS-SCLC-BM
Identifier Type: -
Identifier Source: org_study_id
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