Resectable lung lesions malignancy assessment and cancer detection by ultra-deep sequencing of targeted gene mutations in plasma cell-free DNA

Author:

Peng Muyun,Xie Yuancai,Li Xiaohua,Qian Youhui,Tu Xiaonian,Yao Xumei,Cheng Fangsheng,Xu Feiyue,Kong Deju,He Bing,Liu Chaoyu,Cao Fengjun,Yang Haoxian,Yu Fenglei,Xu ChuanboORCID,Tian Geng

Abstract

BackgroundEarly detection of lung cancer to allow curative treatment remains challenging. Cell-free circulating tumour (ct) DNA (ctDNA) analysis may aid in malignancy assessment and early cancer diagnosis of lung nodules found in screening imagery.MethodsThe multicentre clinical study enrolled 192 patients with operable occupying lung diseases. Plasma ctDNA, white cell count genomic DNA (gDNA) and tumour tissue gDNA of each patient were analysed by ultra-deep sequencing to an average of 35 000× of the coding regions of 65 lung cancer-related genes.ResultsThe cohort consists of a quarter of benign lung diseases and three quarters of cancer patients with all histopathology subtypes. 64% of the cancer patients are at stage I. Gene mutations detection in tissue gDNA and plasma ctDNA results in a sensitivity of 91% and specificity of 88%. When ctDNA assay was used as the test, the sensitivity was 69% and specificity 96%. As for the lung cancer patients, the assay detected 63%, 83%, 94% and 100%, for stages I, II, III and IV, respectively. In a linear discriminant analysis, combination of ctDNA, patient age and a panel of serum biomarkers boosted the overall sensitivity to 80% at a specificity of 99%. 29 out of the 65 genes harboured mutations in the patients with lung cancer with the largest number found in TP53 (30% plasma and 62% tumour tissue samples) and EGFR (20% and 40%, respectively).ConclusionPlasma ctDNA was analysed in lung nodule assessment and early cancer detection, while an algorithm combining clinical information enhanced the test performance.Trial registration numberNCT03081741.

Funder

State Key Research Program of China

Key Project of Health and Family Planning Commission of Hubei Province

Young Scientist Innovation Team Project of Hubei Colleges

Technological Innovation Research Program of Shenzhen China

Innovation Fund of Shenzhen China

Scientific Research Project of Shenzhen Health and Family Planning System

Science technology and innovation committee of Shenzhen for research projects

Publisher

BMJ

Subject

Genetics(clinical),Genetics

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