DNA methylation patterns are altered in numerous diseases and often correlate with clinically relevant information such as disease subtypes, prognosis and drug response. With suitable assays and after validation in large cohorts, such associations can be exploited for clinical diagnostics and personalized treatment decisions. Here we describe the results of a community-wide benchmarking study comparing the performance of all widely used methods for DNA methylation analysis that are compatible with routine clinical use. We shipped 32 reference samples to 18 laboratories in seven different countries. Researchers in those laboratories collectively contributed 21 locus-specific assays for an average of 27 predefined genomic regions, as well as six global assays. We evaluated assay sensitivity on low-input samples and assessed the assays' ability to discriminate between cell types. Good agreement was observed across all tested methods, with amplicon bisulfite sequencing and bisulfite pyrosequencing showing the best all-round performance. Our technology comparison can inform the selection, optimization and use of DNA methylation assays in large-scale validation studies, biomarker development and clinical diagnostics.

Although many epidermal growth factor receptor (EGFR)-mutated lung cancer patients initially benefit from the EGFR-inhibitor erlotinib, all acquire resistance. So far, several mechanisms implicated in resistance have been identified, but the existence of multiple resistance mechanisms in parallel have only been sparsely investigated. In this study, we investigated parallel resistance mechanisms acquired by HCC827, an EGFR-mutated adenocarcinoma cell line dependent on EGFR activity and sensitive to erlotinib. The cell line was treated with erlotinib by stepwise escalation of the drug-concentration and erlotinib-resistant (HCC827ER) cells created. HCC827ER cells depicted a mixed epithelial and mesenchymal phenotype. To clarify potential parallel resistance mechanisms, 14 resistant subclones were established by limited dilution. Interestingly, all HCC827ER subclones harbored either a MET-amplification (6/14) or underwent EMT (8/14), mechanisms both found in previous studies, but not in co-occurrence. Both subclone-types were resistant to erlotinib, but only MET-subclones responded to the MET-inhibitors crizotinib and capmatinib. EMT-subclones on the other hand had markedly increased FGFR1 expression and responded to the FGFR-inhibitor AZD4547, whereas MET-subclones did not. Monitoring gene expression through the development of HCC827ER revealed upregulation of FGFR1 expression as an early response to erlotinib. In addition, FGFR1 expression increased upon short-term erlotinib treatment (48 h) identifying a physiological role immediately after erlotinib exposure. The high FGFR1 expression seen in EMT-subclones was stable even after five passages without erlotinib. Here we show, that parallel resistance mechanisms appear during erlotinib-resistance development in EGFR-mutated NSCLC cells and highlight a role for FGFR1 expression changes as an early response to erlotinib as well as a bypass-signaling mechanism.

Background Programmed cell death ligand-1 (PD-L1) and ligand-2 (PD-L2) interaction with programmed cell death protein-1 (PD-1) represent an immune-inhibiting checkpoint mediating immune evasion and is, accordingly, an important target for blockade-based immunotherapy in cancer. In non-small-cell lung cancer (NSCLC), improved understanding of PD-1 checkpoint blockade-responsive biology and identification of biomarkers for prediction of a clinical response to immunotherapy is warranted. Thus, in the present study, we systematically described PD - L1 and PD - L2 expression correlated genes in NSCLC. Methods We performed comparative retrospective analyses to identify PD - L1 and PD - L2 mRNA expression correlated genes in NSCLC. For this, we examined available datasets from the cancer cell line encyclopedia (CCLE) project lung non-small-cell (Lung_NSC) and the cancer genome atlas (TCGA) projects lung adenocarcinoma (LUAD) and squamous cell carcinoma (LUSC). Results Analysis of the CCLE dataset Lung_NSC identified expression correlation between PD - L1 and PD - L2 . Moreover, we identified expression correlation between 489 genes and PD - L1 , 191 genes and PD - L2 , and 111 genes for both. PD - L1 and PD - L2 also expression correlated in TCGA datasets LUAD and LUSC. In LUAD, we identified expression correlation between 257 genes and PD - L1 , 914 genes and PD - L2 , and 211 genes for both. In LUSC, we identified expression correlation between 26 genes and PD - L1 , 326 genes and PD - L2 , and 13 genes for both. Only a few genes expression correlated with PD - L1 and PD - L2 across the CCLE and TCGA datasets. Expression of Interferon signaling-involved genes converged in particular with the expression correlated genes for PD - L1 in Lung_NSC, for PD - L2 in LUSC, and for both PD - L1 and PD - L2 in LUAD. In LUSC, PD - L1 , and to...

Programmable DNA nucleases such as TALENs and CRISPR/Cas9 are emerging as powerful tools for genome editing. Dual-fluorescent surrogate systems have been demonstrated by several studies to recapitulate DNA nuclease activity and enrich for genetically edited cells. In this study, we created a single-strand annealing-directed, dual-fluorescent surrogate reporter system, referred to as C-Check. We opted for the Golden Gate Cloning strategy to simplify C-Check construction. To demonstrate the utility of the C-Check system, we used the C-Check in combination with TALENs or CRISPR/Cas9 in different scenarios of gene editing experiments. First, we disrupted the endogenous pIAPP gene (3.0 % efficiency) by C-Check-validated TALENs in primary porcine fibroblasts (PPFs). Next, we achieved gene-editing efficiencies of 9.0-20.3 and 4.9 % when performing single- and double-gene targeting (MAPT and SORL1), respectively, in PPFs using C-Check-validated CRISPR/Cas9 vectors. Third, fluorescent tagging of endogenous genes (MYH6 and COL2A1, up to 10.0 % frequency) was achieved in human fibroblasts with C-Check-validated CRISPR/Cas9 vectors. We further demonstrated that the C-Check system could be applied to enrich for IGF1R null HEK293T cells and CBX5 null MCF-7 cells with frequencies of nearly 100.0 and 86.9 %, respectively. Most importantly, we further showed that the C-Check system is compatible with multiplexing and for studying CRISPR/Cas9 sgRNA specificity. The C-Check system may serve as an alternative dual-fluorescent surrogate tool for measuring DNA nuclease activity and enrichment of gene-edited cells, and may thereby aid in streamlining programmable DNA nuclease-mediated genome editing and biological research.

Methylation-Sensitive High Resolution Melting (MS-HRM) is an in-tube, PCR-based method to detect methylation levels at specific loci of interest. A unique primer design facilitates a high sensitivity of the assays enabling detection of down to 0.1-1% methylated alleles in an unmethylated background.Primers for MS-HRM assays are designed to be complementary to the methylated allele, and a specific annealing temperature enables these primers to anneal both to the methylated and the unmethylated alleles thereby increasing the sensitivity of the assays. Bisulfite treatment of the DNA prior to performing MS-HRM ensures a different base composition between methylated and unmethylated DNA, which is used to separate the resulting amplicons by high resolution melting.The high sensitivity of MS-HRM has proven useful for detecting cancer biomarkers in a noninvasive manner in urine from bladder cancer patients, in stool from colorectal cancer patients, and in buccal mucosa from breast cancer patients. MS-HRM is a fast method to diagnose imprinted diseases and to clinically validate results from whole-epigenome studies. The ability to detect few copies of methylated DNA makes MS-HRM a key player in the quest for establishing links between environmental exposure, epigenetic changes, and disease.