Abstract

We focused on the utility of the droplet digital polymerase chain reaction (ddPCR) for detecting c-MYC gene copy number (GCN) gain in cell-free plasma and tumor tissue of colorectal cancer (CRC) patients. c-MYC GCN status was determined using dual-color silver in situ hybridization (SISH) and ddPCR in retrospective cohort 1 (192 CRC patients) and prospective cohort 2 (64 CRC patients). In cohort 1, c-MYC GCN gain was observed in 34 (17.5%) patients by SISH, and in 7 (3.6%) patients by ddPCR. c-MYC GCN by SISH significantly correlated with ddPCR results (ρ = 0.532, P < 0.001). Although 40 cases (20.7%) showed intratumoral genetic heterogeneity, it did not cause discordance in results obtained by the two methods. c-MYC GCN gain, by both SISH and ddPCR was independently correlated with worst prognosis (P = 0.002). In cohort 2, c-MYC GCN estimation in tissue by ddPCR was also significantly associated with results obtained by SISH (ρ = 0.349, P = 0.005), but correlated with plasma ddPCR with borderline significance (ρ = 0.246, P = 0.050). Additionally, detecting c-MYC GCN gain in plasma with ddPCR might have relatively low sensitivity but high specificity. Our study suggests that ddPCR can be a useful tool for detecting c-MYC GCN gain as a potential prognostic biomarker in CRC tissue samples; however, this will need further verification in plasma samples.

Highlights

  • The c-MYC gene encodes the c-MYC protein, which acts as a transcription factor for tumorigenesis in various cancers[1]

  • We investigated c-MYC gene copy number (GCN) in 192 colorectal cancer (CRC) tissues of cohort 1 by two different methods: silver in situ hybridization (SISH) and droplet digital polymerase chain reaction (ddPCR). c-MYC GCN gain, defined as mean c-MYC copies/nucleus ≥ 4.0 in SISH analysis, was observed in 34 (17.5%) cases, while by ddPCR method, was observed in 7 (3.6%) cases

  • We hypothesized that the genetic heterogeneity of c-MYC GCN in each tumor cell might be the cause of discrepancy between the SISH and ddPCR results

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Summary

Introduction

The c-MYC gene encodes the c-MYC protein, which acts as a transcription factor for tumorigenesis in various cancers[1]. We focused on the potential utility of droplet digital polymerase chain reaction (ddPCR) in detecting c-MYC GCN gain in tumor tissue and cell-free plasma of CRC patients, as a prognostic marker. Analysis of ctDNA requires a method of high sensitivity, as tumor DNA is present at a very low concentration in plasma; ddPCR is expected to overcome this limitation[11]. This method has better ability to precisely quantify the concentration of DNA in a sample as compared to that of traditional quantitative PCR. We aimed to analyze whether ddPCR could be adapted to detect small increases of c-MYC GCN in plasma and compared with the c-MYC GCN detected in the primary CRC tissue, using SISH and ddPCR

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