Abstract

Personalized medicine is revolutionizing the diagnosis and treatment of cancer; however, for personalized medicine to be used accurately, patient information is essential to determine the appropriate diagnosis, prognosis and treatment. The detection of genomic mutations in liquid biopsy samples is a non-invasive method of characterizing the genotype of a tumor. However, next generation sequencing-based plasma genotyping only has a sensitivity of ~70%. Identifying potential indicators that may reflect the sensitivity of a liquid biopsy analysis could offer important information for its clinical application. In the present study, 47 pairs of patient-matched plasma and tumor tissue samples obtained from patients with advanced lung cancer were sequenced using a panel of 56 cancer-associated genes. The plasma maximum allele frequency (Max AF) was identified as a novel biomarker to indicate the sensitivity of plasma genotyping. Using the identified somatic mutations in patient tissue biopsy samples as a reference, the sensitivity of the corresponding patient plasma test was investigated. The by-variant sensitivity of the plasma test was 68.1%, with 79 matched and 37 missed genetic aberrances. The by-patient sensitivity was calculated as 83%. Patients with a high plasma Max AF value (>2.2%) demonstrated a higher concordance with the range of mutations identified in the patient-matched tissue samples. The Max AF observed in patient plasma samples was positively correlated with liquid biopsy sensitivity and could be used as a potential indicator of liquid biopsy sensitivity. Therefore, patients with a low plasma Max AF (≤2.2%) may need to undergo further tissue biopsy to allow personalized oncology treatment. In summary, the present study may offer a non-invasive testing method for a sub-group of patients with advanced lung cancer.

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