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Multi Omics Molecular Characteristics and Immunophenotyping of Lung Signet Ring Cell Carcinoma
Sponsor: First People's Hospital of Hangzhou
Summary
This study aims to reveal the molecular characteristics and immune microenvironmental profile of signet ring cell carcinoma of the lung (LSRCC) in the Chinese population through integrated multi-omics analyses. The project plans to enroll formalin-fixed paraffin-embedded (FFPE) tissue samples and paired adjacent tissues from 39 patients with previously untreated LSRCC to establish a Chinese LSRCC molecular database. Whole-exome sequencing (WES) will be used to analyze gene mutations, such as single nucleotide variants (SNVs), copy number variants (CNVs), and fusion events. RNA-seq will be used to screen for differentially expressed genes (DEGs) and perform immunophenotyping, while multiplex immunohistochemistry will be employed to quantify the tumor immune microenvironment (TIME). The successful implementation of this project is expected to identify novel molecular biomarkers specific to the Chinese LSRCC population, enhance understanding of the unique immune phenotypes within this group, and-combined with clinical follow-up-establish correlations between molecular/immune signatures and therapeutic efficacy assessments, thereby providing evidence-based medical support for subsequent personalized precision diagnosis and treatment of LSRCC in this population.
Key Details
Gender
All
Age Range
18 Years - 85 Years
Study Type
OBSERVATIONAL
Enrollment
39
Start Date
2025-09-01
Completion Date
2027-08-31
Last Updated
2025-10-03
Healthy Volunteers
No
Conditions
Interventions
Patients with specific TIME subtype and ALK fusion mutations (confirmed via RNA-seq and OncoKB annotation) will receive tyrosine kinase inhibitors (TKIs, e.g., alectinib or crizotinib) as first-line
Patients with specific TIME subtype and ALK fusion mutations (confirmed via RNA-seq and OncoKB annotation) will receive tyrosine kinase inhibitors (TKIs, e.g., alectinib or crizotinib) as first-line therapy. Clinical response will be assessed via RECIST v1.1 criteria using serial CT imaging (baseline, 8 weeks, and every 12 weeks thereafter). Correlative analyses will evaluate TKI efficacy in relation to TIME subtype, ALK fusion variant, and multi-omic signatures.
Locations (1)
Centre of Translational Medicine, Affiliated Hangzhou First People's Hospital, Westlake University School of Medicine
Hangzhou, Zhejiang, China