Multi-omics analyses identify HSD17B4 methylation-silencing as a predictive and response marker of HER2-positive breast cancer to HER2-directed therapy.

HER2-positive breast cancers that achieve pathological complete response (pCR) after HER2-directed therapy consistently have good survival. We previously identified HSD17B4 methylation as a marker for pCR by methylation screening. Here, we aimed to identify a new marker by conducting a multi-omics analysis of materials prepared by laser capture microdissection, and adding 71 new samples. In the screening set (n = 36), mutations, methylation, and expression were analyzed by targeted sequencing, Infinium 450 K, and expression microarray, respectively, and 15 genes were identified as differentially expressed and eight genomic regions as differentially methylated between cancer samples with and without pCR. In a validation set (n = 47), one gene showed differential expression, and one region had differential methylation. Further, in the re-validation set (n = 55), all new samples, only HSD17B4 methylation was significantly different. The HSD17B4 methylation was at the transcriptional start site of its major variant, and was associated with its silencing. HSD17B4 was highly expressed in the vast majority of human cancers, and its methylation was present only in breast cancers and one lymphoblastic leukemia cell line. A combination of estrogen receptor-negative status and HSD17B4 methylation showed a positive predictive value of 80.0%. During HER2-directed neoadjuvant therapy, HSD17B4 methylation was the most reliable marker to monitor response to the therapy. These results showed that HSD17B4 methylation is a candidate predictive and response marker of HER2-positive breast cancer to HER2-directed therapy.

Comparative analysis of methods to determine DNA methylation levels of a tumor-related microRNA gene.

Quantifying levels of DNA methylation in tumors is a useful approach for the identification of potential tumor suppressors and to find biomarkers that can be used as prognostic or therapeutic indicators. In the current study, we compared three methods commonly used for quantifying DNA methylation-bisulfite pyrosequencing, quantitative methylation-specific PCR (Q-MSP), and MethyLight-by focusing on the CpG island of the gene encoding the microRNA-34b and microRNA-34c (miR-34b/c); aberrant regulation of this miR is associated with various human malignancies, including gastric cancer. Standard curve analysis using control DNA samples demonstrated the highest quantitative accuracy in Q-MSP analysis. We also carried out methylation analysis using gastric mucosa specimens obtained from gastric cancer patients. We found a high correlation between methylation levels determined by Q-MSP and those determined by MethyLight (R(2)=0.952), whereas the results of bisulfite pyrosequencing and the other two methods were less well correlated (R(2)=0.864 and R(2)=0.804 for Q-MSP and MethyLight, respectively). This may reflect possible PCR bias in the pyrosequencing technique, which we show can be corrected for by applying a cubic approximate equation to the original data. Thus, although results obtained by the different DNA methylation analysis techniques are largely comparable, an appropriate correction may be necessary for stringent comparison.

Ultra-sensitive liquid biopsy of circulating extracellular vesicles using ExoScreen.

Cancer cells secrete small membranous extracellular vesicles (EVs) into their microenvironment and circulation. Although their potential as cancer biomarkers has been promising, the identification and quantification of EVs in clinical samples remains challenging. Here we describe a sensitive and rapid analytical technique for profiling circulating EVs directly from blood samples of patients with colorectal cancer. EVs are captured by two types of antibodies and are detected by photosensitizer-beads, which enables us to detect cancer-derived EVs without a purification step. We also show that circulating EVs can be used for detection of colorectal cancer using the antigen CD147, which is embedded in cancer-linked EVs. This work describes a new liquid biopsy technique to sensitively detect disease-specific circulating EVs and provides perspectives in translational medicine from the standpoint of diagnosis and therapy.