INTRODUCTION: Intracranial hemangiopericytoma (HPC) is a malignant meningothelial tumor. Because of its rarity, few guidelines exist for optimal management. METHODS: University of California at San Francisco patients managed for intracranial HPC were compiled into a single database based on a retrospective review of patient records. Univariate and multivariate regression was performed to determine factors that independently predicted treatment outcomes. RESULTS: A total of 40 patients with intracranial HPC were treated from 1989 to 2010. Treatment and follow‐up information was available for analysis on 35 patients. The median survival for all patients was 16.2 years after date of diagnosis, with 1‐year, 5‐year, and 10‐year survival rates of 100%, 92%, and 68%, respectively. Nineteen patients (54%) had HPC recurrence. The median time until recurrence was 5 years, with 1‐year, 5‐year, and 10‐year progression‐free survival rates of 96%, 49%, and 28%, respectively. Seven patients (20%) developed extracranial metastasis. Tumor characteristics associated with earlier recurrence included size ≥6 cm (log‐rank, P < .05) and nonskull base location (log‐rank, P < .05). Strategies combining adjuvant radiation with tumor resection appeared to hinder tumor progression, but had no effect on overall survival or the development of metastasis. Greater extent of resection was associated with increased overall survival (log‐rank, P < .05). CONCLUSIONS: Adjuvant radiation may show promise in preventing tumor progression, but recurrence remains a common treatment outcome regardless of initial strategy. When safe and feasible, gross total resection should be pursued as an initial surgical strategy to maximize overall survival. The propensity of these tumors to metastasize makes detailed staging imaging necessary. Cancer 2011;. © 2011 American Cancer Society.

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Molecular markers are efficient and essential genotyping tools for molecular breeding and genetic analysis of rice. We developed two 96-plex indicajaponica single nucleotide polymorphism (SNP) genotyping sets for genetic analysis and molecular breeding in rice using the Fluidigm platform. Informative SNPs between indica and japonica were selected from SNP data of the Rice Diversity database, HapRice world SNP data of the Q-TARO database, and our 40 rice cultivar resequencing dataset. SNPs in set 1 were evenly distributed across all 12 rice chromosomes at a spacing of 4-5 Mb between adjacent SNPs. SNPs in set 2 mapped to the long genetic intervals in set 1 and included 14 functional or linked SNPs in genes previously cloned and associated with agronomic traits. Additionally, we used the SNP sets developed in this study to perform genetic diversity analysis of various cultivated and wild rice accessions, construction and validation of a subspecies diagnostic subset, linkage map construction and quantitative trait locus (QTL) analysis of a japonica × indica F 2 population, and background profiling during marker-assisted backcrossing. Furthermore, we identified subspecies-specific SNPs and discuss their distribution and association with agronomic traits and subspecies differentiation. Our results indicate that these subspecies-specific SNPs were present in wild rice prior to domestication. This genotyping system will serve as an efficient and quick tool for genetic analysis and molecular breeding in rice.

BackgroundTongil (IR667-98-1-2) rice, developed in 1972, is a high-yield rice variety derived from a three-way cross between indica and japonica varieties. Tongil contributed to the self-sufficiency of staple food production in Korea during a period known as the `Korean Green Revolution'. We analyzed the nucleotide-level genome structure of Tongil rice and compared it to those of the parental varieties.ResultsA total of 17.3 billion Illumina Hiseq reads, 47× genome coverage, were generated for Tongil rice. Three parental accessions of Tongil rice, two indica types and one japonica type, were also sequenced at approximately 30x genome coverage. A total of 2,149,991 SNPs were detected between Tongil and Nipponbare varieties. The average SNP frequency of Tongil was 5.77 per kb. Genome composition was determined based on SNP data by comparing Tongil with three parental genome sequences using the sliding window approach. Analyses revealed that 91.8% of the Tongil genome originated from the indica parents and 7.9% from the japonica parent. Copy numbers of SSR motifs, ORF gene distribution throughout the whole genome, gene ontology (GO) annotation, and some yield-related QTLs or gene locations were also comparatively analyzed between Tongil and parental varieties using sequence-based tools. Each genetic factor was transferred from the parents into Tongil rice in amounts that were in proportion to the whole genome composition.ConclusionsTongil was derived from a three-way cross among two indica and one japonica varieties. Defining the genome structure of Tongil rice demonstrates that the Tongil genome is derived primarily from the indica genome with a small proportion of japonica genome introgression. Comparative gene distribution, SSR, GO, and yield-related gene analysis support the finding that the Tongil genome is primarily made up of the indica genome.Electronic supplementary materialThe online version of this article (doi:10.1186/s12284-014-0022-5) contains supplementary material, which is available to authorized users.

In plants, myo-inositol-1,2,3,4,5,6-hexakisphosphate (InsP6), also known as phytic acid (PA), is a major component of organic phosphorus (P), and accounts for up to 85% of the total P in seeds. In rice (Oryza sativa L.), PA mainly accumulates in rice bran, and chelates mineral cations, resulting in mineral deficiencies among brown rice consumers. Therefore, considerable efforts have been focused on the development of low PA (LPA) rice cultivars. In this study, we performed genetic and molecular analyses of OsLpa1, a major PA biosynthesis gene, in Sanggol, a low PA mutant variety developed via chemical mutagenesis of Ilpum rice cultivar. Genetic segregation and sequencing analyses revealed that a recessive allele, lpa1-3, at the OsLpa1 locus (Os02g0819400) was responsible for a significant reduction in seed PA content in Sanggol. The lpa1-3 gene harboured a point mutation (C623T) in the fourth exon of the predicted coding region, resulting in threonine (Thr) to isoleucine (Ile) amino acidsubstitution at position 208 (Thr208Ile). Three-dimensional analysis of Lpa1 protein structure indicated that myo-inositol 3-monophosphate [Ins(3)P1] could bind to the active site of Lpa1, with ATP as a cofactor for catalysis. Furthermore, the presence of Thr208 in the loop adjacent to the entry site of the binding pocket suggests that Thr208Ile substitution is involved in regulating enzyme activity via phosphorylation. Therefore, we propose that Thr208Ile substitution in lpa1-3 reduces Lpa1 enzyme activity in Sanggol, resulting in reduced PA biosynthesis.