Multi Omics Molecular Characteristics and Immunophenotyping of Lung Signet Ring Cell Carcinoma

Zhejiang University

Status: Enrolling

Conditions: Signet Ring Cell Carcinoma of the Lung

Treatments: Drug: 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

Study type: Observational

Funder types: Other

Identifiers

NCT07207278

2025ZN214-1

Details and patient eligibility

About

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.

Full description

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, including single nucleotide variants (SNVs), copy number variants (CNVs), and fusion events. RNA-seq will be utilized to screen for differentially expressed genes (DEGs) and conduct immunophenotyping, while multiplex immunohistochemistry will be applied 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.

Enrollment: 39 estimated patients

Sex: All

Ages: 18 to 85 years old

Volunteers: No Healthy Volunteers

Inclusion criteria

1.Histologically confirmed, previously untreated LSRCC; 2. Adequate FFPE tumor tissue and paired adjacent non-tumor tissue available; 3. Expected survival ≥ 12 weeks; 4. Patients (or their legal guardians) willing and able to provide written informed consent; 5.Availability of complete pathology and imaging data.

Exclusion criteria

1. Prior systemic anticancer therapy; 2. Secondary LSRCC (i.e., metastatic signet ring cell carcinoma originating from a non-lung primary site); 3. Concurrent other malignancies; 4. Incomplete pathology results, missing imaging data, or unreliable follow-up information; 5. Pregnancy or lactation

Trial design

39 participants in 1 patient group

Chinese LSRCC Multi-omics Cohort

Description:

This cohort comprises 39 treatment-naïve patients with histopathologically confirmed lung signet ring cell carcinoma (LSRCC) enrolled across multiple medical centers in China. Key molecular features include frequent mutations in core genes, distinct copy number variations (CNVs), and transcriptional up- and down-regulation of novel biomarkers. Tumor immune microenvironment (TIME) profiling classified patients into three subtypes: I, II, and III.

Treatment:

Drug: 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