PTTG1 Levels Are Predictive of Saracatinib Sensitivity in Ovarian Cancer Cell Lines.

Src kinase is recognized as a key target for molecular cancer therapy. However, methods to efficiently select patients responsive to Src inhibitors are lacking. We explored the sensitivity of ovarian cancer cell lines to the Src kinase inhibitor saracatinib to identify predictive markers of drug sensitivity using gene microarrays. Pituitary tumor transforming gene 1 (PTTG1) was selected as a potential biomarker as mRNA levels were correlated with saracatinib resistance, as well as higher PTTG1 protein expression. PTTG1 expression was correlated with proliferation, cell division, and mitosis in ovarian cancer tissues data sets. In sensitive cell lines, saracatinib treatment decreased PTTG1 and fibroblast growth factor 2 (FGF2) protein levels. Downregulating PTTG1 by siRNAs increased saracatinib sensitivity in two resistant cell lines. Our results indicate PTTG1 may be a valuable biomarker in ovarian cancer to predict sensitivity to saracatinib, and could form the basis of a targeted prospective saracatinib trial for ovarian cancer.

Chromosomal microarray provides enhanced targetable gene aberration detection when paired with next generation sequencing panel in profiling lung and colorectal tumors.

The development of targeted therapies based on specific genomic alterations has altered the treatment and management of lung and colorectal cancers. Chromosomal microarray (CMA) has allowed identification of copy number variations (CNVs) in lung and colorectal cancers in great detail, and next-generation sequencing (NGS) is used extensively to analyze the genome of cancers for molecular subtyping and use of molecularly guided therapies. The main objective of this study was to evaluate the utility of combining CMA and NGS for a comprehensive genomic assessment of lung and colorectal adenocarcinomas, especially for detecting drug targets. We compared the results from NGS and CMA data from 60 lung and 51 colorectal tumors. From CMA analysis, 33% were amplified, 89% showed gains, 75% showed losses and 41% demonstrated loss of heterozygosity; pathogenic variants were identified in 81% of colon and 67% lung specimens through NGS. KRAS mutations commonly occurred with loss in TP53 and there was significant loss of BRCA1 and NF1 among male patients with lung cancer. For clinically actionable targets, 23% had targetable CNVs when no pathogenic variants were detected by NGS. The data thus indicate that combining the two approaches provides significant benefit in a routine clinical setting not available by NGS alone.

Chromosomal microarray mapping suggests a role for BSX and Neurogranin in neurocognitive and behavioral defects in the 11q terminal deletion disorder (Jacobsen syndrome).

We performed a prospective analysis on 14 11q- patients to determine the relationship between the degree of cognitive impairment and relative deletion size. Seventeen measures of cognitive function were assessed. All nine patients with a deletion of at least 12.1 Mb had severe global cognitive impairment, with full-scale IQ <50, whereas all five patients with smaller deletions,

Effect of residual acrylamide monomer from two-dimensional gels on matrix-assisted laser desorption/ionization peptide mass mapping experiments.

Residual acrylamide can cause severe suppression of signal intensity during matrix-assisted laser desorption/ionization (MALDI) peptide mass mapping experiments. This suppression phenomenon can compromise the ability to detect low picomole and subpicomolar amounts of peptides extracted from two-dimensional gels. A rapid and simple method that exploits the use of pipette tips incorporating C18 packing materials for the enhancement of MALDI signal intensity is presented. The utility of the method is demonstrated with peptide solutions incorporating residual acrylamide and/or gel monomer components.

The rational design and construction of a cuboidal iron-sulfur protein.

Rational protein design is an emerging approach for testing general theories of protein chemistry through the creation of new structures and functions. Here we present the first successful introduction by rational design of a [Fe4S4] cuboidal cluster into the hydrophobic core of Escherichia coli thioredoxin, a protein normally devoid of metal centers. Cuboidal [Fe4S4] is one of the stable forms of self-assembled iron-sulfur clusters that are thought to represent some of the earliest evolved biological redox centers. [Fe4S4] clusters have been recruited for use in a variety of proteins whose functions are central to many of the major biochemical processes ranging from simple soluble electron-transfer agents, to membrane-bound components of electron-transfer chains, to electron reservoirs in complex metalloenzymes such as nitrogenase. By situating an [Fe4S4] cluster into a protein environment not previously adapted by evolution we can explore the factors by which their activity is modulated by the protein matrix.