ABSTRACT
BACKGROUND: Detection of minor DNA allele alterations is becoming increasingly important for early detection and monitoring of cancer. We describe a new method that uses ultraviolet light to eliminate wild-type DNA alleles and enables improved detection of minor genetic or epigenetic changes. METHODS: Pyrimidine-dependent UV-based minor-allele enrichment (PD-UVME) employed oligonucleotide probes that incorporated a UVA-sensitive 3-cyanovinylcarbazole (CNVK), placed directly opposite interrogated pyrimidines, such as thymine (T) or cytosine (C) in wild-type (WT) DNA. Upon UVA-illumination, CNVK cross-linked with T/C, preventing subsequent amplification. Mutations that removed the T/C escaped cross-linking and were amplified and detected. Similarly, CNVK discriminated between methylated and unmethylated cytosine in CpG dinucleotides, enabling direct enrichment of unmethylated DNA targets. PD-UVME was combined with digital droplet PCR (ddPCR) to detect serine/threonine-protein kinase B-Raf (BRAF) V600E mutations in model systems, thyroid patient cancer tissue samples, and circulating DNA of tumor origin (ctDNA) from melanoma patients. RESULTS: One thyroid cancer sample out of 9, and 6 circulating-DNA samples out of 7 were found to be BRAF V600E-positive via PD-UVME while classified as negative by conventional ddPCR. Positive samples via conventional ddPCR were also found positive via PD-UVME. All 10 circulating cell-free DNA (cfDNA) samples obtained from normal volunteers were negative via both approaches. Furthermore, preferential enrichment of unmethylated alleles in MAGEA1 promoters using PD-UVME was demonstrated. CONCLUSIONS: PD-UVME mutation/methylation enrichment performed prior to ddPCR magnifies low-level mutations or epigenetic changes and increases sensitivity and confidence in the results. It can assist with clinical decisions that hinge on the presence of trace alterations like BRAF V600E.
ABSTRACT
CXCR4, JUNB and PD-L1 are implicated in cancer progression and metastasis. The current study investigated these biomarkers in CTCs isolated from metastatic prostate cancer (mPCa) patients at the RNA and protein levels. CTCs were isolated from 48 mPCa patients using the Ficoll density gradient and ISET system (17 out of 48). The (CK/PD-L1/CD45) and (CK/CXCR4/JUNB) phenotypes were identified using two triple immunofluorescence stainings followed by VyCAP platform analysis. Molecular analysis was conducted with an EpCAM-dependent method for 25/48 patients. CK-8, CK-18, CK-19, JUNB, CXCR4, PD-L1, and B2M (reference gene) were analyzed with RT-qPCR. The (CK+/PD-L1+/CD45-) and the (CK+/CXCR4+/JUNB+) were the most frequent phenotypes (61.1% and 62.5%, respectively). Furthermore, the (CK+/CXCR4+/JUNB-) phenotype was correlated with poorer progression-free survival [(PFS), HR: 2.5, p = 0.049], while the (CK+/PD-L1+/CD45-) phenotype was linked to decreased overall survival [(OS), HR: 262.7, p = 0.007]. Molecular analysis revealed that 76.0% of the samples were positive for CK-8,18, and 19, while 28.0% were positive for JUNB, 44.0% for CXCR4, and 48.0% for PD-L1. Conclusively, CXCR4, JUNB, and PD-L1 were highly expressed in CTCs from mPCa patients. The CXCR4 protein expression was associated with poorer PFS, while PD-L1 was correlated with decreased OS, providing new biomarkers with potential clinical relevance.