Abstract
Purpose
Approximately 30% of NSCLC patients cannot obtain tissue sample or sufficient tissue sample for molecular subtyping. Cell-free circulating tumor DNA (ctDNA) in plasma is a potential alternative specimen type to assess genomic variants in patients with non-small cell lung cancer (NSCLC). The purpose of this study was to identify the genomic alteration profile of ctDNA in real-world Chinese NSCLC patients.
Methods
A total of 325 subjects with pathological diagnosis of NSCLC were enrolled. 10 ml Peripheral blood was collected in streck tube, and ctDNA NGS analysis was carried out using an Ampliseq-based 11-gene panel.
Results
295 out of 325 patients (90.8%) had detected ctDNA results. In 62.1% (183/295) of these cases, at least one genomic alterations was detected. Frequency altered genes were EGFR (27.8%), TP53 (22.7%), KRAS (21.36%), and PIK3CA (4.75%). EGFR mutation was associated with female, younger age (< 65 years), and adenocarcinoma. The most common mutations in EGFR were L858R (39.4%), exon19 deletions (31.73%), and T790M (18.3%); G13S was the most common alterations in KRAS. TP53 mutation was most occurred in exon7 and exon8. TP53 mutation was significantly more common in patients with history of radiochemotherapy/chemotherapy therapy, and T790M was mainly found in patients with TKIs treatments. Co-existence EGFR mutation with KRAS and different multiple gene co-mutation panels were detected.
Conclusion
In Chinese NSCLC patients, EGFR mutation was significantly associated with female, younger age (< 65 years), and adenocarcinoma. Genomic profiles of NSCLC were associated with the treatment history; TP53 mutation was significantly more frequent in the patients with history of radiochemotherapy/chemotherapy therapy. Various multiple genes co-mutation panels, especially EGFR and KRAS co-mutation, were observed in the ctDNA of Chinese NSCLC patients.
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Chen, H., Wang, A., Wang, J. et al. Target-based genomic profiling of ctDNA from Chinese non-small cell lung cancer patients: a result of real-world data. J Cancer Res Clin Oncol 146, 1867–1876 (2020). https://doi.org/10.1007/s00432-020-03192-z
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DOI: https://doi.org/10.1007/s00432-020-03192-z