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.

Tumor Mutation Burden Computation in Two Pan-Cancer Precision Medicine Next-Generation Sequencing Panels

2020 ◽  
Vol 27 (10) ◽  
pp. 1553-1560 ◽  
Author(s):  
Yongqian Shu ◽  
Xiaohong Wu ◽  
Jia Shen ◽  
Dongdong Luo ◽  
Xiang Li ◽  
...  
Keyword(s):  
Next Generation Sequencing ◽  
Precision Medicine ◽  
Next Generation ◽  
Tumor Mutation Burden ◽  
Mutation Burden ◽  
Pan Cancer ◽  
Generation Sequencing

Exploration of the TMB and hypermutation landscape in Chinese pan-cancer patient by next-generation sequencing.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e14575-e14575
Author(s):  
Shuo Wang ◽  
Jiasheng Xu ◽  
Jian Sun ◽  
Deng Wei ◽  
Xinsheng Zhang ◽  
...  
Keyword(s):  
Cancer Patient ◽  
Cancer Patients ◽  
Age And Gender ◽  
Tumor Mutation Burden ◽  
Mutation Burden ◽  
Cancer Types ◽  
And Gender ◽  
Chinese Cancer Patients ◽  
Pan Cancer ◽  
Generation Sequencing

e14575 Background: Among a variety of malignant tumors, the level of the patient's TMB was currently an important criterion for clinical judgment whether to adopt immunotherapy. Hypermutation could produce many nearby mutation sites at the same time, which seriously damages genetic material and may cause cancer. Therefore, performing TMB detection on cancer patients and understanding the occurrence of hypermutation in pan-cancer patients will help clinical researchers to further understand the disease characteristics of cancer patients and helped the choice of treatment methods. Previously, TMB and Hypermutation had been tested and studied in pan-cancer patients in the United States and Europe, but rare research was reported in China. In this study, we explored the TMB and hypermutation landscape in Chinese pan-cancer patient by next-generation sequencing. Methods: A total of 8,361 cancer patients from multiple cancer hospitals and research centers in China were included in the study. We sequenced 8,361 Chinese cancer patients from 8 cancer types using the oncopanscan product of Genetron Health Co., Ltd. and calculated the tumor mutation burden of the patients. We separately analyzed the tumor mutation burden of patients in 8 cancer types and analyzed the relationship between the occurrence of hypermutation and the patient's age and gender. Results: The results showed that in pan-cancer, hypermutation patients accounted for 16.97%, and ultrahypermutation patients accounted for 0.78%. Among them, patients with lung cancer have the highest proportion of hypermutation, reaching 27.72%, and patients with colorectal cancer have the highest proportion of ultrahypermutation, reaching 2.86%. Correlation analysis between TMB and age and gender was carried out on 8336 patients. The results showed that in the patients with intrahepatic bile duct cancer, the proportion of men and women was the same. Among the other cancer types, hypermutation patients were more male, and the proportion of men with liver cancer was the largest, with 90 percent. We further explored the correlation between the TMB of pan-cancer patients and the patient’s age, and found that in gastric cancer, liver cancer, and melanoma, the older patients have higher TMB; however, the younger the patients in brain cancer, the higher the TMB ( P<0.05). Conclusions: In this study, we explored the TMB and hypermutation landscape in Chinese pan-Cancer patient for the first time. We found that among Chinese cancer patients, lung cancer patients have the highest proportion of hypermutation. In a variety of cancers, hypermutation patients account for a higher proportion of men, and the older the patient, the higher the TMB.

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.

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

Correlation of negative PD-L1 expression with TMB-H and MSI-H rates.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e13162-e13162
Author(s):  
Jun Dong ◽  
Xiaoni Zhang ◽  
Hongyue Qu ◽  
Shifu Chen ◽  
Ziyang Zhu ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Protein Expression ◽  
Cancer Colorectal ◽  
Tumor Mutation Burden ◽  
Mutation Burden ◽  
Sequencing Library ◽  
Expression Evaluation ◽  
L1 Protein ◽  
Next Generation Sequencing Ngs ◽  
Generation Sequencing

e13162 Background: PD-L1 protein expression, tumor mutation burden (TMB) and microsatellite instability (MSI) are majorbiomarkers for PD-1/PD-L1 blockade therapy for solid tumors. We designed a study to evaluate the relevance of these biomarkers. Methods: From April 2018 to December 2018, 197 patients with lung cancer, colorectal cancer, andgastric cancer wereprospectivelyenrolled.Foreachpatient, afreshfrozentissuesampleor FFPE sample wascollected. Each sample was dividedinto3parts for next-generation sequencing (NGS), PD-L1 protein expression evaluation and MSI evaluation. The sequencing library was captured using a 605-gene panel and sequenced at~5,000×coverage.Mutationsinthe NGS datawereidentified,andTMB was then calculated. The PD-L1 protein expression was analyzedby immunohistochemistry, and the MSI was evaluated using a multiplex PCR comprising 5 loci(NR27, NR21, NR24, BAT25, and BAT26). Results: 18.78% (37/197) were detected with high PD-L1 expression (positive tumor cells ≥50%); 5.08% (10/197) ofpatientswere diagnosed as MSI-H; 4.06% (8/197) of patients had a TMB-H (TMB > 20 mutations/Mb). Among the 37 PD-L1 positive patients, only one patientwith TMB-Hwas detected, and 3patients were MSI-H. In contrast, among the 14 patients with PD-L1 expression less than 1%, 8patients (57.14%) were detected with TMB-H or MSI-H (3 with TMB-H only, 3 with MSI-H only, and 2 with both). In addition, among all the 10patients with MSI-H, 4patients had TMB-H, indicating that MSI-H may be partly associatedwith high TMB. Conclusions: From our preliminary result, PD-L1 protein expression negative patients tend to have higher rates of TMB-H and MSI-H. For patients with negative PD-L1 expression, it issuggested to evaluate its TMB level and MSI status. This study is ongoing, and more data will be collected to verify these findings.

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