Multifaceted roles of GSK-3 and Wnt/β-catenin in hematopoiesis and leukemogenesis: opportunities for therapeutic intervention

Glycogen synthase kinase-3 (GSK-3) is well documented to participate in a complex array of critical cellular processes. It was initially identified in rat skeletal muscle as a serine/threonine kinase that phosphorylated and inactivated glycogen synthase. This versatile protein is involved in numerous signaling pathways that influence metabolism, embryogenesis, differentiation, migration, cell cycle progression and survival. Recently, GSK-3 has been implicated in leukemia stem cell pathophysiology and may be an appropriate target for its eradication. In this review, we will discuss the roles that GSK-3 plays in hematopoiesis and leukemogenesis as how this pivotal kinase can interact with multiple signaling pathways such as: Wnt/β-catenin, phosphoinositide 3-kinase (PI3K)/phosphatase and tensin homolog (PTEN)/Akt/mammalian target of rapamycin (mTOR), Ras/Raf/MEK/extracellular signal-regulated kinase (ERK), Notch and others. Moreover, we will discuss how targeting GSK-3 and these other pathways can improve leukemia therapy and may overcome therapeutic resistance. In summary, GSK-3 is a crucial regulatory kinase interacting with multiple pathways to control various physiological processes, as well as leukemia stem cells, leukemia progression and therapeutic resistance. GSK-3 and Wnt are clearly intriguing therapeutic targets

Admission of advanced lung cancer patients to intensive care unit: A retrospective study of 76 patients

<p>Abstract</p> <p>Background</p> <p>Criteria for admitting patients with incurable diseases to the medical intensive care unit (MICU) remain unclear and have ethical implications.</p> <p>Methods</p> <p>We retrospectively evaluated MICU outcomes and identified risk factors for MICU mortality in consecutive patients with advanced lung cancer admitted to two university-hospital MICUs in France between 1996 and 2006.</p> <p>Results</p> <p>Of 76 included patients, 49 had non-small cell lung cancer (stage IIIB n = 20; stage IV n = 29). In 60 patients, MICU admission was directly related to the lung cancer (complication of cancer management, n = 30; cancer progression, n = 14; and lung-cancer-induced diseases, n = 17). Mechanical ventilation was required during the MICU stay in 57 patients. Thirty-six (47.4%) patients died in the MICU. Three factors were independently associated with MICU mortality: use of vasoactive agents (odds ratio [OR] 6.81 95% confidence interval [95%CI] [1.77-26.26], p = 0.005), mechanical ventilation (OR 6.61 95%CI [1.44-30.5], p = 0.015) and thrombocytopenia (OR 5.13; 95%CI [1.17-22.5], p = 0.030). In contrast, mortality was lower in patients admitted for a complication of cancer management (OR 0.206; 95%CI [0.058-0.738], p = 0.015). Of the 27 patients who returned home, four received specific lung cancer treatment after the MICU stay.</p> <p>Conclusions</p> <p>Patients with acute complications of treatment for advanced lung cancer may benefit from MCIU admission. Further studies are necessary to assess outcomes such as quality of life after MICU discharge.</p

Re-Annotation Is an Essential Step in Systems Biology Modeling of Functional Genomics Data

One motivation of systems biology research is to understand gene functions and interactions from functional genomics data such as that derived from microarrays. Up-to-date structural and functional annotations of genes are an essential foundation of systems biology modeling. We propose that the first essential step in any systems biology modeling of functional genomics data, especially for species with recently sequenced genomes, is gene structural and functional re-annotation. To demonstrate the impact of such re-annotation, we structurally and functionally re-annotated a microarray developed, and previously used, as a tool for disease research. We quantified the impact of this re-annotation on the array based on the total numbers of structural- and functional-annotations, the Gene Annotation Quality (GAQ) score, and canonical pathway coverage. We next quantified the impact of re-annotation on systems biology modeling using a previously published experiment that used this microarray. We show that re-annotation improves the quantity and quality of structural- and functional-annotations, allows a more comprehensive Gene Ontology based modeling, and improves pathway coverage for both the whole array and a differentially expressed mRNA subset. Our results also demonstrate that re-annotation can result in a different knowledge outcome derived from previous published research findings. We propose that, because of this, re-annotation should be considered to be an essential first step for deriving value from functional genomics data

Identification of novel genes, SYT and SSX, involved in the t(X;18)(p11.2;q11.2) translocation found in human synovial sarcoma

Human synovial sarcomas contain a recurrent and specific chromosomal translocation t(X;18)(p11.2;q11.2). By screening a synovial sarcoma cDNA library with a yeast artificial chromosome spanning the X chromosome breakpoint, we have indentified a hybrid transcript that contains 5′ sequences (designated SYT) mapping to chromosome 18 and 3′ sequences (designated SSX) mapping to chromosome X. An SYT probe detected genomic rearrangements in 10/13 synovial sarcomas. Sequencing of cDNA clones shows that the normal SYT gene encodes a protein rich in glutamine, proline and glycine, and indicates that in synovial sarcoma rearrangement of the SYT gene results in the formation of an SYT–SSX fusion protein. Both SYT and SSX failed to exhibit significant homology to known gene sequences

The t(X;18)(p11.2;q11.2) translocation found in human synovial sarcomas involves two distinct loci on the X chromosome

A high proportion of synovial sarcomas contain the reciprocal translocation t(X;18)(p11.2;q11.2). We have previously localized the breakpoint on the X chromosome between the X chromosome marker DXS255 and an ornithine aminotransferase (OAT) pseudogene region designated OATL2. Subsequently by fluorescence in situ hybridization (FISH) we provided evidence that YACs corresponding to the OATL2 locus spanned the breakpoint. In order to confirm the position of this breakpoint cosmids corresponding to the OATL2 region were isolated. Most of these cosmids mapped to four cosmid contigs designated C1-C4. Analysis of two contigs, C1- and C4, using FISH established that in four of six synovial sarcomas examined the breakpoint occurs between these two contigs: C1 lies distal to the breakpoint while C4 is proximal. In contrast we provide evidence that the breakpoint in the remaining two tumours mapped to a second pseudogene region called OATL1 that is telomeric to the OATL2 locus. This heterogeneity of the breakpoint position on the X chromosome explains why in previous mapping studies there have been discrepancies between the results obtained by different laboratories

The t(X;18)(p11.2;q11.2) translocation found in human synovial sarcomas involves two distinct loci on the X chromosome.

A high proportion of synovial sarcomas contain the reciprocal translocation t(X;18)(p11.2;q11.2). We have previously localized the breakpoint on the X chromosome between the X chromosome marker DXS255 and an ornithine aminotransferase (OAT) pseudogene region designated OATL2. Subsequently by fluorescence in situ hybridization (FISH) we provided evidence that YACs corresponding to the OATL2 locus spanned the break-point. In order to confirm the position of this breakpoint cosmids corresponding to the OATL2 region were isolated. Most of these cosmids mapped to four cosmid contigs designated C1-C4. Analysis of two contigs, C1- and C4, using FISH established that in four of six synovial sarcomas examined the breakpoint occurs between these two contigs: C1 lies distal to the break-point while C4 is proximal. In contrast we provide evidence that the breakpoint in the remaining two tumours mapped to a second pseudogene region called OATL1 that is telomeric to the OATL2 locus. This heterogeneity of the breakpoint position on the X chromosome explains why in previous mapping studies there have been discrepancies between the results obtained by different laboratories

The human SB1.8 gene (DXS423E) encodes a putative chromosome segregation protein conserved in lower eukaryotes and prokaryotes

We report that the human gene SB1.8 (DXS423E) encodes a protein of 1233 amino acids that is highly homologous (30% Identity) to the essential yeast protein SMC1 which is required for the segregation of chromosomes at mitosis. Both SB1.8 and SMC1 contain an N-terminal NTP binding site, a central coiled-coil region and a C-terminal helix-loop-helix domain, and have structural features in common with the force generating proteins myosin and kinesin. SB1.8 also exhibits regions of homology and overall structural similarity to the prokaryote (Mycoplasma hyorhinis) protein 115p. Thus SB1.8 and SMC1 are members of a highly conserved and ubiquitous family of proteins that appear to have a fundamental role In cell division. In addition we show that SB1.8 (DXS423E) maps to a cosmid contig that lies centromeric to the OATL2 locus at chromosome Xp11.2