scholarly journals RNF213 gene mutation in circulating tumor DNA detected by targeted next‐generation sequencing in the assisted discrimination of early‐stage lung cancer from pulmonary nodules

2020 ◽  
Author(s):  
Ning Jiang ◽  
Jie Zhou ◽  
Wenhao Zhang ◽  
Peichao Li ◽  
Yu Liu ◽  
...  
2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e14557-e14557
Author(s):  
Jong Ho Cho ◽  
Il-Jin Kim ◽  
Junghee Lee ◽  
Hong Kwan Kim ◽  
Jinseon Lee ◽  
...  

e14557 Background: Circulating tumor DNA (ctDNA) analysis has been successfully applied to therapy selection and treatment monitoring in advanced cancer patients. However, it is not yet established whether ctDNA can be used clinically for early cancer detection or predicting tumor recurrence in early stage lung cancer patients. Methods: We analyzed pre-operative plasma samples from 55 early stage NSCLC patients (stages I-IIIA) using next-generation sequencing to detect somatic mutations and differential epigenomics patterns, including methylation signatures. Results: Using somatic mutation analysis alone, ctDNA was detected in 42% (23/55) of patients, whereas combined mutational and epigenomic analysis detected ctDNA in 71%. ctDNA detection rate also varied markedly between lung squamous cell carcinoma (SCC) and adenocarcinoma (ADC);using combined analysis of somatic mutations and epigenomic patterns, ctDNA was detected in all SCC patients, while only 55% of ADC (12/22) were ctDNA-positive (p= 0.006). Within the ADC subgroup, ctDNA detection rates using the combined approach were dependent on disease stage: 47% (8/17) in stage I, 100% (2/2) in stage II, and 100% (2/2) in stage IIIA. Importantly, pre-operative ctDNA status was correlated with tumor recurrence post-resection; three of eight (38%) ctDNA-positive stage I ADC patients recurred within 2 years of resection, while only one of nine (11%) ctDNA-negative stage I ADC patients recurred (p= 0.29). Conclusions: Taken together, we show that the combination of somatic mutation detection and epigenomic analysis outperforms each individual biomarker in the detection of ctDNA in early stage lung cancer. Importantly, we also demonstrate that pre-operative ctDNA detection may identify a high-risk population of early stage lung cancer patients that may benefit from (neo)adjuvant therapy.


2019 ◽  
Author(s):  
Ning Jiang ◽  
Shukang Zhao ◽  
Peichao Li ◽  
Yu Liu ◽  
Hubo Shi ◽  
...  

Abstract Introduction To distinguish early stage lung cancer from benign disease of the lung nodules, especially the lesions with ground-glass opacity (GGO) or ground-glass nodule (GGN), we assessed gene mutations of the ctDNA in peripheral blood by using targeted next-generation sequencing (NGS). Methods Single lung nodule patients without mediastinal lymph nodes or symptoms hardly diagnosed by chest CT and biomarker of lung cancer were enrolled. All patients received minimally invasive surgery but refused preoperative biopsy. Gene mutations of pre-operative blood samples were detected by targeted NGS. Mutations with statistical differences were screened in lung cancer and benign disease grouped by postoperative pathology. Gene expression was determined by immunohistochemistry. Highly expressed genes were selected as biomarkers to verify the mutations in peripheral blood. Results In training set, RNF213, KMT2D, CSMD3 and LRP1B genes mutated more frequently in early stage lung cancer (25cases) than benign nodules (18cases) (P<0.05). High expressions of RNF213 gene in lung cancers and low expressions in benign diseases were evaluated by immunohistochemistry. RNF213 gene mutated in 25% lung cancer samples in the validation set of 28 samples and showed high specificity (100%) and low sensibility (25.9%). In GGO and GGN patients, RNF213 mutated more frequently in early stage lung cancer compared to benign diseases (P<0.05). Conclusions RNF213 gene mutation was observed more frequently in early stage lung cancer, but rather than benign nodules. Mutation of RNF213 gene in peripheral blood may be a high specificity biomarker and valuable for early diagnosis of lung cancer.


Theranostics ◽  
2019 ◽  
Vol 9 (7) ◽  
pp. 2056-2070 ◽  
Author(s):  
Wenhua Liang ◽  
Yue Zhao ◽  
Weizhe Huang ◽  
Yangbin Gao ◽  
Weihong Xu ◽  
...  

2018 ◽  
Vol 9 (5) ◽  
pp. 509-515 ◽  
Author(s):  
Heng Zhao ◽  
Ke-Zhong Chen ◽  
Ben-Gang Hui ◽  
Kai Zhang ◽  
Fan Yang ◽  
...  

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