Background Tumor mutational burden (TMB) is an emerging biomarker for selecting patients with non-small cell lung cancer (NSCLC) for immunotherapy. And many studies have revealed high-TMB may be significantly associated with response to PD-1 and PD-L1 blockade immunotherapy.
Methods The RNA-seq transcriptome profiling, simple nucleotide variation and corresponding clinicopathological information of patients with lung squamous cell carcinoma were obtained from The Cancer Genome Atlas (TCGA). We classified samples into the low-TMB group and the high-TMB group based on somatic mutation data from TCGA. KEGG pathways analysis was used to analyze the enriched pathways between two groups. Wilcoxon test was used to analyze the correlation between TMB and clinical pathology. CIBERSORT was used to calculate the immune cell infiltration among different risk groups.
Result Single nucleotide polymorphism (SNP), missense mutation and C > A was most common in patients with lung squamous cell carcinoma. Top 10 most common mutated genes were TTN, TP53, MUC16, CSMD3, RYR2, LRP1B, USH2A, SYNE1, ZFHX4, KMT2D. High-TMB group conferred better one-year overall survival. KEGG pathways analysis revealed that DEGs were mainly involved in regulation of lymphocyte activation, lymphocyte proliferation, leukocyte proliferation and mononuclear cell proliferation. Infiltration levels of CD8 + T cell, M1 macrophages, follicular helper T cells and activated NK cells in high-TMB group were higher than that in low-TMB group.
Conclusion High TMB correlated with positive one-year survival outcomes. With the development of tumor, TMB increased gradually. TMB might influence the immune infiltrates on patients with lung squamous cell carcinoma.

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Posted 19 Nov, 2020
Posted 19 Nov, 2020
Background Tumor mutational burden (TMB) is an emerging biomarker for selecting patients with non-small cell lung cancer (NSCLC) for immunotherapy. And many studies have revealed high-TMB may be significantly associated with response to PD-1 and PD-L1 blockade immunotherapy.
Methods The RNA-seq transcriptome profiling, simple nucleotide variation and corresponding clinicopathological information of patients with lung squamous cell carcinoma were obtained from The Cancer Genome Atlas (TCGA). We classified samples into the low-TMB group and the high-TMB group based on somatic mutation data from TCGA. KEGG pathways analysis was used to analyze the enriched pathways between two groups. Wilcoxon test was used to analyze the correlation between TMB and clinical pathology. CIBERSORT was used to calculate the immune cell infiltration among different risk groups.
Result Single nucleotide polymorphism (SNP), missense mutation and C > A was most common in patients with lung squamous cell carcinoma. Top 10 most common mutated genes were TTN, TP53, MUC16, CSMD3, RYR2, LRP1B, USH2A, SYNE1, ZFHX4, KMT2D. High-TMB group conferred better one-year overall survival. KEGG pathways analysis revealed that DEGs were mainly involved in regulation of lymphocyte activation, lymphocyte proliferation, leukocyte proliferation and mononuclear cell proliferation. Infiltration levels of CD8 + T cell, M1 macrophages, follicular helper T cells and activated NK cells in high-TMB group were higher than that in low-TMB group.
Conclusion High TMB correlated with positive one-year survival outcomes. With the development of tumor, TMB increased gradually. TMB might influence the immune infiltrates on patients with lung squamous cell carcinoma.

Figure 1

Figure 2

Figure 3

Figure 4

Figure 5

Figure 6

Figure 7

Figure 8
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