{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Li F"],"funding":["National Institutes of Health"],"pagination":["E2041"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC7464208"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["12(8)"],"pubmed_abstract":["Mutations identified in the epidermal growth factor receptor (EGFR) predict sensitivity to EGFR-targeted therapy for non-small cell lung carcinoma (NSCLC). We previously reported that Electric Field-Induced Release and Measurement (EFIRM)-based liquid biopsy could detect EGFR ctDNA with >94% concordance with tissue-based genotyping. A side-by-side comparison of concordance of EFIRM and droplet digital PCR (ddPCR) for the detection of the two front-line actionable EFGR mutations was performed with paired plasma and saliva samples from 13 NSCLC patients. Deep sequencing analysis based on single-strand DNA library preparation was employed to determine the size distributions of EGFR L858R ctDNA in plasma and saliva samples. EFIRM detected both EGFR mutations with 100% sensitivity in both plasm"],"journal":["Cancers"],"pubmed_title":["Ultra-Short Circulating Tumor DNA (usctDNA) in Plasma and Saliva of Non-Small Cell Lung Cancer (NSCLC) Patients."],"pmcid":["PMC7464208"],"funding_grant_id":["U01 CA233370","UH2 CA206126","UH3 TR000923","R21 CA239052"],"pubmed_authors":["Yan Q","Feng Z","Lin CC","Li F","Liao W","Tu M","Li L","Su WC","Wong DTW","Tang JH","Wei F","Huang WL","Kim Y","Shen MM","Chia D"],"additional_accession":[]},"is_claimable":false,"name":"Ultra-Short Circulating Tumor DNA (usctDNA) in Plasma and Saliva of Non-Small Cell Lung Cancer (NSCLC) Patients.","description":"Mutations identified in the epidermal growth factor receptor (EGFR) predict sensitivity to EGFR-targeted therapy for non-small cell lung carcinoma (NSCLC). We previously reported that Electric Field-Induced Release and Measurement (EFIRM)-based liquid biopsy could detect EGFR ctDNA with >94% concordance with tissue-based genotyping. A side-by-side comparison of concordance of EFIRM and droplet digital PCR (ddPCR) for the detection of the two front-line actionable EFGR mutations was performed with paired plasma and saliva samples from 13 NSCLC patients. Deep sequencing analysis based on single-strand DNA library preparation was employed to determine the size distributions of EGFR L858R ctDNA in plasma and saliva samples. EFIRM detected both EGFR mutations with 100% sensitivity in both plasm","dates":{"release":"2020-01-01T00:00:00Z","publication":"2020 Jul","modification":"2025-04-22T15:01:39.777Z","creation":"2020-09-09T07:09:16Z"},"accession":"S-EPMC7464208","cross_references":{"pubmed":["32722209"],"doi":["10.3390/cancers12082041"]}}