Xiaozheng Kang

Cross-Platform Comparison of Four Leading Technologies for Detecting EGFR Mutations in Circulating Tumor DNA from Non-Small Cell Lung Carcinoma Patient Plasma

Analysis of circulating tumor DNA (ctDNA) is emerging as a powerful tool for guiding targeted therapy and monitoring tumor evolution in patients with non-small cell lung cancer (NSCLC), especially when representative tissue biopsies are not available. Here, we have compared the ability of four leading technology platforms to detect epidermal growth factor receptor (EGFR) mutations (L858R, exon 19 deletion, T790M and G719X) in ctDNA from NSCLC patients. Two amplification refractory mutation systems (cobas-ARMS and ADx-ARMS), a droplet digital polymerase chain reaction (ddPCR) and a next-generation sequencing (Firefly NGS) platform were included in the comparison. Fifteen EGFR mutations across twenty NSCLC patients were identified. Firefly NGS, cobas-ARMS and ddPCR all displayed superior sensitivity while ADx-ARMS was better suited for the qualitative detection of EGFR mutations with allele frequency higher than 1% in plasma and tissue samples. We observed high coincidence between the plasma and tissue EGFR mutational profiles for three driver mutations (L858R, exon 19 deletion and G719X) that are known targets of first generation EGFR-TKI therapies among patients who relapsed. Discrepancies between tissue and plasma EGFR mutational profiles were mainly attributable to spatial and temporal tumor heterogeneity, mutation inhibition due to therapy response and drug resistance (T790M). This study illustrates the challenges associated with selection of a technology platform for EGFR ctDNA analysis in the context of treatment evaluation and drug resistance detection.

Abstract 2742: Cross-platform comparison of four leading technologies for detectingEGFRmutations in circulating tumor DNA from plasma of patients with non-small cell lung carcinoma

Analysis of circulating tumor DNA (ctDNA) is emerging as a powerful tool for guiding targeted therapy and monitoring tumor evolution in patients with non-small cell lung cancer (NSCLC), particularly when fresh tissue biopsy is not available. This study compared the ability of four leading technology platforms to detect epidermal growth factor receptor (EGFR) mutations (L858R, exon 19 deletion, T790M and G719X) in ctDNA from NSCLC patients. The platforms included two amplification refractory mutation systems (cobas-ARMS and ADx-ARMS), a droplet digital polymerase chain reaction platform (ddPCR) and a next-generation sequencing platform (Firefly NGS). Fifteen EGFR mutations across twenty NSCLC patients were identified. We observed superior sensitivity and specificity of cobas-ARMS, ddPCR and Firefly NGS platforms, while ADx-ARMS was only suitable for the qualitative detection of EGFR mutations with allele frequency higher than 1% in plasma samples. We observed high concordance between the plasma and tissue EGFR mutational profiles for three driver mutations that are known targets of the first generation EGFR-TKI therapy (L858R, E19-dels, and G719X). Discrepancies between plasma and tissue EGFR mutational profiling could be attributed to spatial and temporal tumor heterogeneity. This pilot study illustrates the promise of ctDNA analysis in the context of treatment evaluation and drug resistance detection, and results will be validated in follow-up studies. Citation Format: Ting Xu, Xiaozheng Kang, Xiaofang You, Dai Liang, Dequan Tian, Wanpu Yan, Yongbo Yang, Hongchao Xiong, Zhen Liang, Grace Q. Zhao, Shengrong Lin, Ke-Neng Chen, Guobing Xu. Cross-platform comparison of four leading technologies for detecting EGFR mutations in circulating tumor DNA from plasma of patients with non-small cell lung carcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 2742. doi:10.1158/1538-7445.AM2017-2742

Abstract 1375: An ultra-sensitive cell free DNA liquid biopsy assay for cancer treatment monitoring

In order to take advantage of the narrow time window for optimal treatment efficacy, highly sensitive disease monitoring is critical in the successful management of cancer. Currently, treatment efficacy is assessed by using a combination of protein cancer biomarkers and imaging. However, both methods present limitations with regard to specificity or sensitivity due to their dependency on tumor size. Recently, a number of studies have suggested that monitoring cell free DNA (cfDNA) may provide a more specific alternative for tracking cancer treatment with greatly improved sensitivity. Here we introduce a novel next-generation sequencing based mutation detection system aimed at improving the sensitivity, reliability, and clinical utility of cancer treatment monitoring. Our system, comprised of Nebula, a whole genome amplification technology that is capable of amplifying nanogram quantities of cfDNA >1000-fold, and Firefly, a proprietary technology combining molecular biology and computational algorithm for error-suppression, has reduced the rate of random sequencing errors to 10-6. As a result, we are able to detect 1.5 variant copies from 10ng of input cfDNA with a detection rate of 46%. We have validated the Nebula-Firefly assay on a patient cohort with either colorectal (CRC) or lung cancer. Here we report the successful detection of drug resistant mutations and various genomic alterations associated with minimal residual detection (MRD) in sample cfDNA. These initial findings have led to the exploration of Nebula-Firefly as the technological backbone for a noninvasive, scalable approach for the early detection, treatment, and monitoring of cancer. Citation Format: Grace Zhao, Li Weng, Paul Tang, Johnny Sun, Yi Huang, Lingchen Guo, Hongyan Wang, Xiaozheng Kang, Wei Shen, Kang Ying, Shengrong Lin. An ultra-sensitive cell free DNA liquid biopsy assay for cancer treatment monitoring. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 1375.