Aims
Tumor mutational burden (TMB) is a biomarker for immune checkpoint therapy. The impact of TMB on clinical outcomes and the correlation coefficient between exome sequencing and targeted sequencing in glioma have not yet been explored.
Methods
Somatic mutations in the coding regions of 897 primary gliomas, clinical and RNA-seq information for 654 patients In TCGA dataset were analyzed. Descriptive and correlational analyses were conducted with TMB. Enrichment Map and GSEA was also performed.
Results
TMB was higher for the group of mutant genes that are frequently mutated in glioblastomas (GBMs) and lower for the group of mutant genes that are frequently mutated in lower-grade gliomas (LGGs). Patients with a higher TMB exhibited shorter overall survival. TMB was associated with grade, age, subtype and mutations affecting genomic structure. The signaling pathways of the cell cycle and immune effector processes were enriched in the TMBHigh group. TMB was higher in the mismatch repair (MMR) gene mutant group compared to the wildtype group, but the MMR pathway was enriched in the TMBHigh group of gliomas without mutations in classical MMR genes. The correlation between TMBs calculated through exome sequencing and targeted sequencing was moderate.
Conclusions
TMB is associated with poor outcomes in diffuse glioma. High proliferative activity in the TMBHigh group could account for the shorter survival of these patients. This association was not reflected by a pan-cancer targeted sequencing panel.

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On 10 Feb, 2020
On 09 Feb, 2020
On 09 Feb, 2020
On 29 Jan, 2020
Received 15 Jan, 2020
On 12 Jan, 2020
Invitations sent on 03 Jan, 2020
On 03 Jan, 2020
On 27 Dec, 2019
On 26 Dec, 2019
On 26 Dec, 2019
On 02 Dec, 2019
Received 24 Nov, 2019
Received 05 Nov, 2019
On 31 Oct, 2019
Invitations sent on 29 Oct, 2019
On 29 Oct, 2019
On 28 Oct, 2019
On 27 Oct, 2019
On 27 Oct, 2019
Posted 24 Jul, 2019
On 23 Sep, 2019
Received 20 Sep, 2019
On 13 Sep, 2019
Received 12 Sep, 2019
Invitations sent on 28 Aug, 2019
On 28 Aug, 2019
On 19 Jul, 2019
On 19 Jul, 2019
On 18 Jul, 2019
On 15 Jul, 2019
On 10 Feb, 2020
On 09 Feb, 2020
On 09 Feb, 2020
On 29 Jan, 2020
Received 15 Jan, 2020
On 12 Jan, 2020
Invitations sent on 03 Jan, 2020
On 03 Jan, 2020
On 27 Dec, 2019
On 26 Dec, 2019
On 26 Dec, 2019
On 02 Dec, 2019
Received 24 Nov, 2019
Received 05 Nov, 2019
On 31 Oct, 2019
Invitations sent on 29 Oct, 2019
On 29 Oct, 2019
On 28 Oct, 2019
On 27 Oct, 2019
On 27 Oct, 2019
Posted 24 Jul, 2019
On 23 Sep, 2019
Received 20 Sep, 2019
On 13 Sep, 2019
Received 12 Sep, 2019
Invitations sent on 28 Aug, 2019
On 28 Aug, 2019
On 19 Jul, 2019
On 19 Jul, 2019
On 18 Jul, 2019
On 15 Jul, 2019
Aims
Tumor mutational burden (TMB) is a biomarker for immune checkpoint therapy. The impact of TMB on clinical outcomes and the correlation coefficient between exome sequencing and targeted sequencing in glioma have not yet been explored.
Methods
Somatic mutations in the coding regions of 897 primary gliomas, clinical and RNA-seq information for 654 patients In TCGA dataset were analyzed. Descriptive and correlational analyses were conducted with TMB. Enrichment Map and GSEA was also performed.
Results
TMB was higher for the group of mutant genes that are frequently mutated in glioblastomas (GBMs) and lower for the group of mutant genes that are frequently mutated in lower-grade gliomas (LGGs). Patients with a higher TMB exhibited shorter overall survival. TMB was associated with grade, age, subtype and mutations affecting genomic structure. The signaling pathways of the cell cycle and immune effector processes were enriched in the TMBHigh group. TMB was higher in the mismatch repair (MMR) gene mutant group compared to the wildtype group, but the MMR pathway was enriched in the TMBHigh group of gliomas without mutations in classical MMR genes. The correlation between TMBs calculated through exome sequencing and targeted sequencing was moderate.
Conclusions
TMB is associated with poor outcomes in diffuse glioma. High proliferative activity in the TMBHigh group could account for the shorter survival of these patients. This association was not reflected by a pan-cancer targeted sequencing panel.

Figure 1

Figure 2

Figure 3

Figure 4

Figure 5
This is a list of supplementary files associated with this preprint. Click to download.
Loading...