Design, synthesis and biological evaluation of 2-quinolyl-1,3-tropolone derivatives as new anti-cancer agents.

Tropolones are promising organic compounds that can have important biologic effects. We developed a series of new 2-quinolyl-1,3-tropolones derivatives that were prepared by the acid-catalyzed reaction of 4,7-dichloro-2-methylquinolines with 1,2-benzoquinones. 2-Quinolyl-1,3-tropolones have been synthesized and tested for their anti-proliferative activity against several human cancer cell lines. Two compounds (3d and mixture B of 3i-k) showed excellent activity against six cancer cell lines of different tissue of origin. The promising compounds 3d and mixture B of 3i-k also demonstrated induction of apoptotic cell death of ovarian cancer (OVCAR-3, OVCAR-8) and colon cancer (HCT 116) cell lines and affected ERK signaling. In summary, 2-quinolyl-1,3-tropolones are promising compounds for development of effective anticancer agents.

Circulating tumor cell and cell-free RNA capture and expression analysis identify platelet-associated genes in metastatic lung cancer.

BACKGROUND: Circulating tumor cells (CTC) and plasma cell-free RNA (cfRNA) can serve as biomarkers for prognosis and treatment response in lung cancer. One barrier to the selected or routine use of CTCs and plasma cfRNA in precision oncology is the limited quantity of both, and CTCs are only seen in metastatic disease. As capture of CTCs and plasma cfRNA presents an opportunity to monitor and assess malignancies without invasive procedures, we compared two methods for CTC capture and identification, and profiled mRNA from CTCs and plasma cfRNA to identify potential tumor-associated biomarkers. METHODS: Peripheral blood was collected from ten patients with small cell lung cancer (SCLC), ten patients with non-small cell lung cancer (NSCLC) and four healthy volunteers. Two methods were used for CTC capture: the standard epithelial cell adhesion molecule (EpCam) CellSearch kit (unicapture) and EpCAM plus HER2, EGFR and MUC-1 specific combined ferrofluid capture (quadcapture). For the quadcapture, anti-cytokeratin 7 (CK7) was additionally used to assist in CTC identification. NanoString analysis was performed on plasma cfRNA and on mRNA from combined ferrofluid isolated CTCs. Expression data was analyzed using STRING and Reactome. RESULTS: Unicapture detected CTCs in 40% of NSCLC and 60% of SCLC; whereas, quadcapture/CK7 identified CTCs in 20% of NSCLC and 80% of SCLC. Bioinformatic analysis of NanoString data identified high expression of a platelet factor 4 (PF4)-related group of transcripts. CONCLUSIONS: Quadcapture ferrofluid reagent did not significantly improve CTC capture efficacy. NanoString analysis based on CTC and plasma cfRNA data highlighted an intriguing PF-4-centric network in patients with metastatic lung cancer.

DNA methylation profiles of primary colorectal carcinoma and matched liver metastasis.

BACKGROUND: The contribution of DNA methylation to the metastatic process in colorectal cancers (CRCs) is unclear. METHODS: We evaluated the methylation status of 13 genes (MINT1, MINT2, MINT31, MLH1, p16, p14, TIMP3, CDH1, CDH13, THBS1, MGMT, HPP1 and ERα) by bisulfite-pyrosequencing in 79 CRCs comprising 36 CRCs without liver metastasis and 43 CRCs with liver metastasis, including 16 paired primary CRCs and liver metastasis. We also performed methylated CpG island amplification microarrays (MCAM) in three paired primary and metastatic cancers. RESULTS: Methylation of p14, TIMP3 and HPP1 in primary CRCs progressively decreased from absence to presence of liver metastasis (13.1% vs. 4.3%; 14.8% vs. 3.7%; 43.9% vs. 35.8%, respectively) (P<.05). When paired primary and metastatic tumors were compared, only MGMT methylation was significantly higher in metastatic cancers (27.4% vs. 13.4%, P = .013), and this difference was due to an increase in methylation density rather than frequency in the majority of cases. MCAM showed an average 7.4% increase in DNA methylated genes in the metastatic samples. The numbers of differentially hypermethylated genes in the liver metastases increased with increasing time between resection of the primary and resection of the liver metastasis. Bisulfite-pyrosequencing validation in 12 paired samples showed that most of these increases were not conserved, and could be explained by differences in methylation density rather than frequency. CONCLUSIONS: Most DNA methylation differences between primary CRCs and matched liver metastasis are due to random variation and an increase in DNA methylation density rather than de-novo inactivation and silencing. Thus, DNA methylation changes occur for the most part before progression to liver metastasis.

Chromatin remodeling is required for gene reactivation after decitabine-mediated DNA hypomethylation.

The DNA hypomethylating drug decitabine (DAC) reactivates silenced gene expression in cancer and is approved for the treatment of the myelodysplastic syndrome. Gene reactivation after DAC is variable and incompletely understood. Here, we established a cell line system (YB5) derived from the SW48 colon cancer cell line to study DAC-induced reactivation. YB5 contains a hypermethylated cytomegalovirus promoter driving green fluorescent protein (GFP), and the locus is transcriptionally silent. GFP reexpression can be achieved by DAC treatment, but the expression level of individual cells is heterogeneous. DAC-treated YB5 cells were separated into GFP-positive and GFP-negative subpopulations. By comparing DAC-treated sorted GFP-positive and GFP-negative cells, we found that their methylation levels were similarly decreased but that histone modifications and histone H3 densities were remarkably different. Despite a similar degree of (incomplete) DNA hypomethylation, GFP-positive cells reverted to an active chromatin structure marked by higher H3K9 acetylation, lower H3K27 trimethylation, and lower promoter nucleosome density. GFP-negative cells had histone modifications and promoter nucleosome density, similar to parental cells. On DAC withdrawal, gradual resilencing and remethylation occurred in both GFP-positive and GFP-negative cells, and the resilencing correlated with a gradual increase in nucleosome occupancy in GFP-positive cells. These data show that hypomethylation alone after DAC is insufficient for gene expression induction, and that chromatin resetting to an active state including nucleosome eviction is required for activation of protein expression. Our findings suggest that gene expression is the key in optimizing DAC treatment strategies in the clinic.

An Sp1/Sp3 binding polymorphism confers methylation protection.

Hundreds of genes show aberrant DNA hypermethylation in cancer, yet little is known about the causes of this hypermethylation. We identified RIL as a frequent methylation target in cancer. In search for factors that influence RIL hypermethylation, we found a 12-bp polymorphic sequence around its transcription start site that creates a long allele. Pyrosequencing of homozygous tumors revealed a 2.1-fold higher methylation for the short alleles (P<0.001). Bisulfite sequencing of cancers heterozygous for RIL showed that the short alleles are 3.1-fold more methylated than the long (P<0.001). The comparison of expression levels between unmethylated long and short EBV-transformed cell lines showed no difference in expression in vivo. Electrophorectic mobility shift assay showed that the inserted region of the long allele binds Sp1 and Sp3 transcription factors, a binding that is absent in the short allele. Transient transfection of RIL allele-specific transgenes showed no effects of the additional Sp1 site on transcription early on. However, stable transfection of methylation-seeded constructs showed gradually decreasing transcription levels from the short allele with eventual spreading of de novo methylation. In contrast, the long allele showed stable levels of expression over time as measured by luciferase and approximately 2-3-fold lower levels of methylation by bisulfite sequencing (P<0.001), suggesting that the polymorphic Sp1 site protects against time-dependent silencing. Our finding demonstrates that, in some genes, hypermethylation in cancer is dictated by protein-DNA interactions at the promoters and provides a novel mechanism by which genetic polymorphisms can influence an epigenetic state.

RIL, a LIM gene on 5q31, is silenced by methylation in cancer and sensitizes cancer cells to apoptosis.

Gene silencing associated with promoter methylation can inactivate tumor suppressor genes (TSG) in cancer. We identified RIL, a LIM domain gene mapping to 5q31, a region frequently deleted in acute myelogenous leukemia (AML) and myelodysplastic syndrome (MDS), as methylated in 55 of 79 (70%) of cancer cell lines tested. In a variety of primary tumors, we found RIL methylation in 55 of 92 (60%) cases, with highest methylation in AML and colon cancer, and in 30 of 83 (36%) MDS samples, whereas normal tissues showed either absence or substantially lower levels of methylation, which correlates with age. RIL is ubiquitously expressed but silenced in methylated cancers and could be reactivated by the hypomethylating agent 5-aza-2'-deoxycytidine. Restoring RIL expression in colon cancer cells by stable transfection resulted in reduced cell growth and clonogenicity and an approximately 2.0-fold increase in apoptosis following UV exposure. In MDS, RIL methylation is a marker of adverse prognosis independent of chromosome 5 and 7 deletions. Our data suggest that RIL is a good candidate TSG silenced by hypermethylation in cancer.