Common driver mutations and smoking history affect tumor mutation burden in lung adenocarcinoma

2018 ◽  
Vol 230 ◽  
pp. 181-185 ◽  
Author(s):  
Masayuki Nagahashi ◽  
Seijiro Sato ◽  
Kizuki Yuza ◽  
Yoshifumi Shimada ◽  
Hiroshi Ichikawa ◽  
...  
Keyword(s):  
Lung Adenocarcinoma ◽  
Smoking History ◽  
Driver Mutations ◽  
Tumor Mutation Burden ◽  
Mutation Burden

scholarly journals Paired analysis of tumor mutation burden for lung adenocarcinoma and associated idiopathic pulmonary fibrosis

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yasuto Yoneshima ◽  
Eiji Iwama ◽  
Shingo Matsumoto ◽  
Taichi Matsubara ◽  
Testuzo Tagawa ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Idiopathic Pulmonary Fibrosis ◽  
Pulmonary Fibrosis ◽  
Lung Adenocarcinoma ◽  
Genetic Alterations ◽  
Driver Mutations ◽  
Somatic Variant ◽  
Tumor Mutation Burden ◽  
Mutation Burden ◽  
And Oxidative Stress

AbstractGenetic alterations underlying the development of lung cancer in individuals with idiopathic pulmonary fibrosis (IPF) have remained unclear. To explore whether genetic alterations in IPF tissue contribute to the development of IPF-associated lung cancer, we here evaluated tumor mutation burden (TMB) and somatic variants in 14 paired IPF and tumor samples from patients with IPF-associated lung adenocarcinoma. We also determined TMB for 22 samples of lung adenocarcinoma from patients without IPF. TMB for IPF-associated lung adenocarcinoma was significantly higher than that for matched IPF tissue (median of 2.94 vs. 1.26 mutations/Mb, P = 0.002). Three and 102 somatic variants were detected in IPF and matched lung adenocarcinoma samples, respectively, with only one pair of specimens sharing one somatic variant. TMB for IPF-associated lung adenocarcinoma was similar to that for lung adenocarcinoma samples with driver mutations (median of 2.94 vs. 2.51 mutations/Mb) and lower than that for lung adenocarcinoma samples without known driver mutations (median of 2.94 vs. 5.03 mutations/Mb, P = 0.130) from patients without IPF. Our findings suggest that not only the accumulation of somatic mutations but other factors such as inflammation and oxidative stress might contribute to the development and progression of lung cancer in patients with IPF.

scholarly journals Decoding tumor mutation burden and driver mutations in early stage lung adenocarcinoma using CT‐based radiomics signature

2019 ◽  
Vol 10 (10) ◽  
pp. 1904-1912 ◽  
Author(s):  
Xiaoxiao Wang ◽  
Cheng Kong ◽  
Weizhang Xu ◽  
Sheng Yang ◽  
Dan Shi ◽  
...  
Keyword(s):  
Lung Adenocarcinoma ◽  
Early Stage ◽  
Driver Mutations ◽  
Tumor Mutation Burden ◽  
Mutation Burden ◽  
Radiomics Signature

Exploration of Tumor Mutation Burden Combined with Immune Infiltrates in the Prognosis of Lung Adenocarcinoma

2021 ◽  
Author(s):  
Zhenyu Zhao ◽  
Boxue He ◽  
Qidong Cai ◽  
Pengfei Zhang ◽  
Xiong Peng ◽  
...  
Keyword(s):  
High Risk ◽  
Lung Adenocarcinoma ◽  
Clinical Application ◽  
Risk Group ◽  
High Risk Group ◽  
Immune Microenvironment ◽  
Tumor Mutation Burden ◽  
Immune Signature ◽  
Immune Infiltration ◽  
Mutation Burden

Abstract Background: Lung adenocarcinoma (LUAD) accounts for a majority of cancer-related deaths worldwide annually. A recent study shows that immunotherapy is an effective method of LUAD treatment, and tumor mutation burden (TMB) was associated with the immune microenvironment and affected the immunotherapy. Exploration of the gene signature associated with tumor mutation burden and immune infiltrates in predicting prognosis in lung adenocarcinoma in this study, we explored the correlation of TMB with immune infiltration and prognosis in LUAD.Materials and Methods: In this study, we firstly got mutation data and LUAD RNA-Seq data of the LUAD from The Cancer Genome Atlas (TCGA), and according to the TMB we divided the patients into high/low-TMB levels groups. The gene ontology (GO) pathway enrichment analysis and KOBAS-Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways analysis were utilized to explore the molecular function of the differentially expressed genes (DEGs) between the two groups. The function enrichment analyses of DEGs were related to the immune pathways. Then, the ESTIMATE algorithm, CIBERSORT, and ssGSEA analysis were utilized to identify the relationship between TMB subgroups and immune infiltration. According to the results, Venn analysis was utilized to select the immune-related genes in DEGs. Univariate and Lasso Cox proportional hazards regression analyses were performed to construct the signature which positively associated with the immune infiltration and affected the survival. Finally, we verified the correlation between the signature and immune infiltration. Result: The exploration of the immune infiltration suggested that high-TMB subgroups positively associated with the high level of immune infiltration in LUAD patients. According to the TMB-related immune signature, the patients were divided into High/Low-risk groups, and the high-risk group was positively associated with poor prognostic. The results of the PCA analysis confirmed the validity of the signature. We also verified the effectiveness of the signature in GSE30219 and GSE72094 datasets. The ROC curves and C-index suggested the good clinical application of the TMB-related immune signature in LUAD prognosis. Another result suggested that the patients of the high-risk group were positively associated with higher TMB levels, PD-L1expression, and immune infiltration levels.Conclusion: In conclusion, our signature provides potential biomarkers for studying aspects of the TMB in LUAD such as TMB affected immune microenvironment and prognosis. This signature may provide some biomarkers which could improve the biomarkers of PD-L1 immunotherapy response and were inverted for the clinical application of the TMB in LUAD. LUAD male patients with higher TMB-levels and risk scores may benefit from immunotherapy. The high-risk patients along with higher PD-L1 expression of the signature may suitable for immunotherapy and improve their survival by detecting the TMB of LUAD.

scholarly journals The prognostic value of tumor mutation burden in EGFR-mutant advanced lung adenocarcinoma, an analysis based on cBioPortal data base

2019 ◽  
Vol 11 (11) ◽  
pp. 4507-4515 ◽  
Author(s):  
Xiao-Dong Jiao ◽  
Xi He ◽  
Bao-Dong Qin ◽  
Ke Liu ◽  
Ying Wu ◽  
...  
Keyword(s):  
Lung Adenocarcinoma ◽  
Data Base ◽  
Prognostic Value ◽  
Tumor Mutation Burden ◽  
Mutation Burden ◽  
Egfr Mutant

Combination of tumor mutation burden and immune infiltrates for the prognosis of lung adenocarcinoma

2021 ◽  
Vol 98 ◽  
pp. 107807
Author(s):  
Zhenyu Zhao ◽  
Boxue He ◽  
Qidong Cai ◽  
Pengfei Zhang ◽  
Xiong Peng ◽  
...  
Keyword(s):  
Lung Adenocarcinoma ◽  
Tumor Mutation Burden ◽  
Mutation Burden

The correlation between mutation burden and disease free survival in patients with lung adenocarcinomas.

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. 8550-8550 ◽  
Author(s):  
Changzheng Wang ◽  
Shuang Xin ◽  
Xulian Shi ◽  
Xin Zhao ◽  
Kui Wu ◽  
...  
Keyword(s):  
Survival Analysis ◽  
Lung Adenocarcinoma ◽  
Smoking Status ◽  
Disease Free Survival ◽  
Smoking History ◽  
P Value ◽  
Free Survival ◽  
Mutation Burden ◽  
Lung Adenocarcinomas ◽  
Disease Free

8550 Background: Lung cancer is one of the leading causes of cancerous deaths globally. High mutation burden is a special character in lung adenocarcinoma patients. Mutation burden is usually based on the number of non-synonymous mutations implying the instability of genome. We hypothesize genome-wide mutation burden indicates mutation degree and is correlated with prognostic in lung adenocarcinoma. Methods: Whole-exome sequencing was performed on 98 Chinese lung adenocarcinoma patients with tumor and normal tissue to a mean depth of 49.6ⅹ. The total number of non-synonymous somatic mutations was calculated from the sequencing data of each patient. Patients were divided into high mutation burden and low mutation burden groups in accordance with the mean mutation burden and Kaplan-Meier analysis was performed for survival analysis between these two groups. The association between mutation burden and age or smoking status was analyzed by Wilcoxon rank-sum test. Results: Among these 98 patients, the values of mutation burden varied from 5 to 1121 with mean value 161.8, 36 (36.7%) patients with smoking history and 34 (34.7%) patients were older than 65 years; the numbers of patients in I, II, III stage were 19 (19.4%), 16 (16.3%) and 63 (64.3%) respectively. 32 patients were classified into high mutation burden group, the other 66 patients classified into low mutation burden group. Survival analysis showed a significantly longer disease free survival (DFS) in low mutation burden group (p-value = 0.0133).Mutation burden was significantly associated with age ( < 65 vs ≥65, p-value = 0.0208) and smoking status (p-value = 8.67ⅹ10-4). Conclusions: The association between mutation burden and age or smoking status suggested the high risk for mutation burden accumulation. The significant difference of DFS between high mutation burden and low mutation burden groups reveals the potential of mutation burden as one of the prognostic factors in patients with lung adenocarcinomas.

Analysis of mutation detection of POLD1/pole in pan-cancer.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. 3142-3142
Author(s):  
Gao Yang ◽  
Jian'An Huang ◽  
Yukun Zu ◽  
Yan Zhang ◽  
Pingping Dai ◽  
...  
Keyword(s):  
Driver Mutation ◽  
Driver Mutations ◽  
Base Substitution ◽  
Tumor Mutation Burden ◽  
Target Capture ◽  
Mutation Burden ◽  
Substitution Mutations ◽  
High Level ◽  
Pan Cancer ◽  
Generation Sequencing

3142 Background: Previous studies proved that mutation of POLD1 and POLE elevates base-substitution mutations and lead to the elevation of tumor mutation burden (TMB). Other signature needs to explore to identify driver mutations in these two genes. Methods: Using gene-panel target-capture next generation sequencing, we analyzed the TMB and POLD1/POLE mutation in 17383 tumor tissue or plasma ctDNA samples from different patients. Results: Tumor mutation burdens were calculated of all the 17383 samples. According to the present research and our panel, we use 10 and 100 Mut/Mb to define hypermutation and ultra-hypermutation. Samples with hypermutation possessed 18.8% (n = 3268) and ultra-hypermutation possessed 0.3% (n = 58). In unselected, hypermutation and ultra-hypermutation group, POLD1 or/and POLE mutations were identified in 3.5% (n = 625), 56.1% (n = 32) and 87.9%(n = 372) samples. There were 0.5% (n = 81), 17.0% (n = 73) and 87.7%(n = 51) identified more than one mutation. These results showed that POLD1 or/and POLE mutations were enriched in samples with high TMB. We screened every known POLE and POLD1 driver mutations. There were 22 ultra-hypermutation samples identified these mutations, including A456P(3), P286R(10), V411L(6), M444K(1), S459F(1) in POLE and R1016H(1) in POLD1. Interestingly, all of them were identified in microsatellite stable (MSS) samples, which suggest that driver mutation may enriched in MSS samples. These already known driver mutation was not detect in 24 high-level microsatellite instability (MSI-H) and ultra-hypermutation samples. We further analyzed 10 POLD1/POLE mutations in other 5 MSS and ultra-hypermutation samples. POLE L424V was a pathogenic germline mutation but not defined as a driver mutation clearly before. POLE P286C had not been biochemically characterized but had different residue with P286R in the same position. Others had not been biochemically characterized (R232H, A234T, V945M, S1064I, Y467H in POLD1, D462N and R749Q, E1956D in POLE). These mutations were potential driver mutations and further research need to be support. Conclusions: We found that not only POLD1 or/and POLE mutations were enriched in samples with high TMB, but also driver mutations were enriched in microsatellite stable tumors. Further researches need to continue to identify more driver mutations of POLD1 and POLE.

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