Kinase Suppressor Of Ras 2 Research Articles

The oncogenetic role of microRNA-31 as a potential biomarker in oesophageal squamous cell carcinoma

miR-31 (microRNA-31) is frequently altered in numerous cancers. The aim of the present study was to investigate the role of miR-31 in ESCC (oesophageal squamous cell carcinoma). We measured miR-31 in 45 paired ESCC tissues and 523 serum samples using real-time RT (reverse transcription)-PCR. The serum samples were divided into a discovery group (120 ESCCs and 121 normal controls), a validation group (81 ESCCs and 81 controls), and a final group comprising six other common tumours (colorectal, liver, cervical, breast, gastric and lung cancers; total n=120). A Mann-Whitney U test and Wilcoxon matched-pairs test were used for the statistics. miR-31 was up-regulated in 77.8% of the ESCC tissues. Serum miR-31 levels in ESCC patients were significantly higher than in normal controls (P<0.001). It yielded an ROC (receiver operating characteristic) AUC (area under the curve) of 0.902 [95% CI (confidence interval), 0.857-0.936] in the discovery group and a similar result in the validation group [ROC AUC, 0.888 (95% CI, 0.819-0.939)]. Patients with high-levels of serum miR-31 also had a poorer prognosis in relapse-free survival (P=0.001) and tumour-specific survival (P=0.005). In vitro studies showed that miR-31 promoted ESCC colony formation, migration and invasion. Luciferase reporter and Western blot assays confirmed that three tumour suppressor genes, namely EMP1 (epithelial membrane protein 1), KSR2 (kinase suppressor of ras 2) and RGS4 (regulator of G-protein signalling 4), were targeted by miR-31. We conclude that miR-31 plays oncogenetic functions and can serve as a potential diagnostic and prognostic biomarker for ESCC.

Profound Obesity Secondary to Hyperphagia in Mice Lacking Kinase Suppressor of Ras 2

The kinase suppressor of ras 2 (KSR2) gene resides at human chromosome 12q24, a region linked to obesity and type 2 diabetes (T2D). While knocking out and phenotypically screening mouse orthologs of thousands of druggable human genes, we found KSR2 knockout (KSR2(-/-)) mice to be more obese and glucose intolerant than melanocortin 4 receptor(-/-) (MC4R(-/-)) mice. The obesity and T2D of KSR2(-/-) mice resulted from hyperphagia which was unresponsive to leptin and did not originate downstream of MC4R. The kinases AMP-activated protein kinase (AMPK) and mammalian target of rapamycin (mTOR) are each linked to food intake regulation, but only mTOR had increased activity in KSR2(-/-) mouse brain, and the ability of rapamycin to inhibit food intake in KSR2(-/-) mice further implicated mTOR in this process. The metabolic phenotype of KSR2 heterozygous (KSR2(+/minus;)) and KSR2(-/-) mice suggests that human KSR2 variants may contribute to a similar phenotype linked to human chromosome 12q24.

Kinase suppressor of ras 2 (KSR2)-deficient mice as obesity models

Kinase suppressor of ras 2 (KSR2)-deficient mice as obesity models

Genome-wide Association Study of Biochemical Traits in Korčula Island, Croatia

To identify genetic variants underlying biochemical traits--total cholesterol, low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol, triglycerides, uric acid, albumin, and fibrinogen, in a genome-wide association study in an isolated population where rare variants of larger effect may be more easily identified. The study included 944 adult inhabitants of the island of Korcula, as a part of larger DNA-based genetic epidemiological study in 2007. Biochemical measurements were performed in a single laboratory with stringent internal and external quality control procedures. Examinees were genotyped using Human Hap370CNV chip by Illumina, with a genome-wide scan containing 346027 single nucleotide polymorphisms (SNP). A total of 31 SNPs were associated with 7 investigated traits at the level of P<1.00 x 10(-5). Nine of SNPs implicated the role of SLC2A9 in uric acid regulation (P=4.10 x 10(-6)-2.58 x 10(-12)), as previously found in other populations. All 22 remaining associations fell into the P=1.00 x 10(-5)-1.00 x 10(-6) significance range. One of them replicated the association between cholesteryl ester transfer protein (CETP) and HDL, and 7 associations were more than 100 kilobases away from the closest known gene. Nearby SNPs, rs4767631 and rs10444502, in gene kinase suppressor of ras 2 (KSR2) on chromosome 12 were associated with LDL cholesterol levels, and rs10444502 in the same gene with total cholesterol levels. Similarly, rs2839619 in gene PBX/knotted 1 homeobox 1 (PKNOX1) on chromosome 21 was associated with total and LDL cholesterol levels. The remaining 9 findings implied possible associations between phosphatidylethanolamine N-methyltransferase (PEMT) gene and total cholesterol; USP46, RAP1GDS1, and ZCCHC16 genes and triglycerides; BCAT1 and SLC14A2 genes and albumin; and NR3C2, GRIK2, and PCSK2 genes and fibrinogen. Although this study was underpowered for most of the reported associations to reach formal threshold of genome-wide significance under the assumption of independent multiple testing, replications of previous findings and consistency of association between the identified variants and more than one studied trait make such findings interesting for further functional follow-up studies. Changed allele frequencies in isolate population may contribute to identifying variants that would not be easily identified in much larger samples in outbred populations.

High‐throughput Screening of Mouse Knockout Lines Identifies True Lean and Obese Phenotypes

We developed a high-throughput approach to knockout (KO) and phenotype mouse orthologs of the 5,000 potential drug targets in the human genome. As part of the phenotypic screen, dual-energy X-ray absorptiometry (DXA) technology estimates body-fat stores in eight KO and four wild-type (WT) littermate chow-fed mice from each line. Normalized % body fat (nBF) (mean KO % body fat/mean WT littermate % body fat) values from the first 2322 lines with viable KO mice at 14 weeks of age showed a normal distribution. We chose to determine how well this screen identifies body-fat phenotypes by selecting 13 of these 2322 KO lines to serve as benchmarks based on their published lean or obese phenotype on a chow diet. The nBF values for the eight benchmark KO lines with a lean phenotype were > or =1 s.d. below the mean for seven (perilipin, SCD1, CB1, MCH1R, PTP1B, GPAT1, PIP5K2B) but close to the mean for NPY Y4R. The nBF values for the five benchmark KO lines with an obese phenotype were >2 s.d. above the mean for four (MC4R, MC3R, BRS3, translin) but close to the mean for 5HT2cR. This screen also identifies novel body-fat phenotypes as exemplified by the obese kinase suppressor of ras 2 (KSR2) KO mice. These body-fat phenotypes were confirmed upon studying additional cohorts of mice for KSR2 and all 13 benchmark KO lines. This simple and cost-effective screen appears capable of identifying genes with a role in regulating mammalian body fat.