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  5. Biomedical And Clinical Sciences
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  11. Multi-omics Profiling And Experimental Verification Of Tertiary Lymphoid Structure-related Genes: Molecular Subgroups, Immune Infiltration, And Prognostic Implications In Lung Adenocarcinoma

Multi-omics profiling and experimental verification of tertiary lymphoid structure-related genes: molecular subgroups, immune infiltration, and prognostic implications in lung adenocarcinoma

Sixuan Wu1,2, Junfan Pan2, Qihong Pan2

  • 1Department of Oncology, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, China.

Frontiers in Immunology
|October 4, 2024

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View abstract on PubMed

Summary
This summary is machine-generated.

Tertiary lymphoid structure-related genes (TLS-RGs) impact lung adenocarcinoma (LUAD) prognosis and tumor microenvironment. These genes offer potential as biomarkers and therapeutic targets for personalized LUAD treatment.

Area of Science:

  • Oncology
  • Immunology
  • Genetics

Background:

  • Lung adenocarcinoma (LUAD) has a poor prognosis and aggressive nature.
  • Tertiary lymphoid structures (TLS) are linked to immune response and tumor outcomes.
  • The role of TLS-related genes (TLS-RGs) in the LUAD tumor microenvironment (TME) is not well understood.

Purpose of the Study:

  • To comprehensively investigate the function of TLS-RGs in LUAD.
  • To identify prognostic biomarkers and potential therapeutic targets for LUAD.

Main Methods:

  • Analysis of publicly available data to categorize LUAD patients into TLS and gene subtypes.
  • Construction of prognostic models using seven key genes and development of a clinical nomogram.
  • Correlation analysis with drug sensitivity, tumor mutational burden (TMB), and cancer stem cell (CSC) index.
Keywords:
lung adenocarcinomaoverall survivaltertiary lymphoid structurestumor microenvironment

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  • Validation of gene expression using qRT-PCR.

    • Main Results:

    • LUAD patients were classified into distinct TLS and gene subtypes.
    • A prognostic model based on seven genes (CIITA, FCRL2, GBP1, BIRC3, SCGB1A1, CLDN18, S100P) was developed.
    • TLS scores showed significant correlations with drug sensitivity, TMB, and CSC index.
    • Single-cell sequencing provided insights into TLS-RG distribution.

    Conclusions:

    • TLS-RGs play a significant role in LUAD's clinicopathological features, prognosis, and TME.
    • TLS-RGs demonstrate potential as prognostic biomarkers for LUAD.
    • TLS-RGs represent promising therapeutic targets for developing personalized LUAD treatment strategies.
    tumor mutation burden