It is important to know how well patients with type 2 diabetes understand and use health information available online in relation to health-promoting behaviors. Thus, the purposes of this study were to examine the association among electronic health literacy, perceived benefits, self-efficacy, and health-promoting behaviors in patients with type 2 diabetes, and to identify factors that affect health-promoting behaviors. A cross-sectional survey was conducted in a diabetes center in Seoul, South Korea. It was found that health-promoting behaviors were significantly correlated with electronic health literacy (r = 0.15, P < .05), perceived benefits (r = 0.15, P < .05), and self-efficacy (r = 0.47, P < .01). In the multiple linear regression analysis to identify the factors influencing health-promoting behaviors, electronic health literacy (β = .13, P = .040) and self-efficacy (β = .38, P < .001) were found to be significant factors, even after adjusting for general and disease-related characteristics. Strategies to improve health-promoting behaviors in patients with type 2 diabetes should focus on analyzing levels of electronic health literacy and deepening their understanding of online information accordingly.

Mutation analysis of circulating tumor DNA (ctDNA) has recently been introduced as a noninvasive tumor monitoring method. In this study, we tested the mass spectrometric-based MassARRAY platform for multiplexed gene mutation analysis of plasma samples from colorectal cancer (CRC) patients. A total of 160 patients, who underwent curative resection of either primary or metastatic CRC harboring KRAS mutations between 2005 and 2012, were included. Circulating DNA was isolated from plasma was analyzed on the MassARRAY platform with or without selective amplification of mutant DNA fragments. Tumor-specific KRAS mutations were detected in 39.6% (42/106) of patients with distant metastasis, and in 5.6% (3/54) of patients without distant metastasis. Selective amplification of the mutant allele increased sensitivity to 58.5% (62/106) for patients with distant metastasis, and 16.7% (9/54) for patients without distant metastasis. These mutation detection rates were no less than those of droplet digital polymerase chain reaction. Among patients with distant metastasis, detectable plasma KRAS mutations correlated with larger primary tumors and shorter overall survival rate (P = 0.014 and P = 0.003, respectively). In addition, activating PIK3CA mutations were detected together with KRAS mutations in two plasma samples. Taken together, massARRAY platform is a cost-effective, multigene mutation profiling technique for ctDNA with reasonable sensitivity and specificity.