Intratumoral heterogeneity is a hallmark of glioblastoma multiforme and thought to negatively affect treatment efficacy. Here, we establish libraries of glioma-initiating cell (GIC) clones from patient samples and find extensive molecular and phenotypic variability among clones, including a range of responses to radiation and drugs. This widespread variability was observed as a continuum of multitherapy resistance phenotypes linked to a proneural-mesenchymal shift in the transcriptome. Multitherapy resistance was associated with a semi-stable cell state that was characterized by an altered DNA methylation pattern at promoter regions of mesenchymal master regulators and enhancers. The gradient of cell states within the GIC compartment constitutes a distinct form of heterogeneity. Our findings may open an avenue toward the development of new therapeutic rationales designed to reverse resistant cell states.

Vaccinia virus is the prototypic orthopoxvirus and was the vaccine used to eradicate smallpox, yet the expression profiles of many of its genes remain unknown. Using a genome tiling array approach, we simultaneously measured the expression levels of all 223 annotated vaccinia virus genes during infection and determined their kinetics. Almost all of the genes were transcribed, and for 62 of these, this is the first empirical evidence of expression. Most remarkably, classification of the genes by their expression profiles revealed 35 genes exhibiting immediate‐early expression. Although a similar kinetic class has been described for other virus families, this is the first demonstration of its existence in orthopoxviruses. Despite expression levels higher than for genes in the other 3 kinetic classes, the functions of more than half of these remain unknown. Additionally, genes within each kinetic class were spatially grouped together in the genome. This genome‐wide picture of transcription alters our understanding of how orthopoxviruses regulate gene expression. This work was supported by National Institutes of Health grants ROI‐AI‐56268 and HHSN266200400124C.

Non-small cell lung cancer (NSCLC) is a heterogeneous disease with unique combinations of somatic molecular alterations in individual patients, as well as significant differences in populations across the world with regard to mutation spectra and mutation frequencies. Here we aim to describe mutational patterns and linked clinical parameters in a population-based NSCLC cohort. Materials and methods: Using targeted resequencing the mutational status of 82 genes was evaluated in a consecutive Swedish surgical NSCLC cohort, consisting of 352 patient samples from either fresh frozen or formalin fixed paraffin embedded (FFPE) tissues. The panel covers all exons of the 82 genes and utilizes reduced target fragment length and two-strand capture making it compatible with degraded FFPE samples. Results: We obtained a uniform sequencing coverage and mutation load across the fresh frozen and FFPE samples by adaption of sequencing depth and bioinformatic pipeline, thereby avoiding a technical bias between these two sample types. At large, the mutation frequencies resembled the frequencies seen in other western populations, except for a high frequency of KRAS hotspot mutations (43%) in adenocarcinoma patients. Worse overall survival was observed for adenocarcinoma patients with a mutation in either TP53, STK11 or SMARCA4. In the adenocarcinoma KRAS-mutated group poor survival appeared to be linked to concomitant TP53 or STK11 mutations, and not to KRAS mutation as a single aberration. Similar results were seen in the analysis of publicly available data from the cBioPortal. In squamous cell carcinoma a worse prognosis could be observed for patients with MLL2 mutations, while CSMD3 mutations were linked to a better prognosis. Conclusion: Here we have evaluated the mutational status of a NSCLC cohort. We could not confirm any survival impact of isolated driver mutations. Instead, concurrent mutations in TP53 and STK11 were shown to confer poor survival in the KRAS-positive adenocarcinoma subgroup.

We describe a bioinformatic tool, Tumor Aberration Prediction Suite (TAPS), for the identification of allele-specific copy numbers in tumor samples using data from Affymetrix SNP arrays. It includes detailed visualization of genomic segment characteristics and iterative pattern recognition for copy number identification, and does not require patient-matched normal samples. TAPS can be used to identify chromosomal aberrations with high sensitivity even when the proportion of tumor cells is as low as 30%. Analysis of cancer samples indicates that TAPS is well suited to investigate samples with aneuploidy and tumor heterogeneity, which is commonly found in many types of solid tumors.

SUMMARYThe human mast cell line (HMC)-1 cell line is growth-factor independent because of a constitutive activity of the receptor tyrosine kinase Kit. Such deregulated Kit activity has also been suggested causative in gastrointestinal stromal tumours (GISTs) and mastocytosis. HMC-1 is the only established continuously growing human mast cell line and has therefore been widely employed for in vitro studies of human mast cell biology. In this paper we describe two sublines of HMC-1, named HMC-1 560 and HMC-1 560,816 , with different phenotypes and designated by the locations of specific mutations in the c-kit proto-oncogene. Activating mutations in the Kit receptor were characterized using the pyrosequencing TM method. Both sublines have a heterozygous T to G mutation at codon 560 in the juxtamembrane region of the c-kit gene causing an amino acid substitution of Gly-560 for Val. In contrast, only HMC-1 560,816 cells have the c-kit V816 mutation found in mast cell neoplasms causing an Asp!Val substitution in the intracellular kinase domain. Kit was constitutively phosphorylated on tyrosine residues and associated with phosphatidylinositol 3 0 -kinase (PI 3-kinase) in both variants of HMC-1, but this did not lead to a constitutive phosphorylation of Akt or extracellular regulated protein kinase (ERK), which are signalling molecules normally activated by the interaction of stem cell factor (SCF) with Kit. The documentation and characterization of two sublines of HMC-1 cells provides both information on the biological consequences of mutations in Kit and recognition of the availability of what in reality are two distinct cultured human mast cell lines.

The prevalence of hand abnormalities in diabetic patients is high and increases with the duration of diabetes. In many cases patients with hand abnormalities can be helped by surgery.

RAS and BRAF mutations impact treatment and prognosis of metastatic colorectal cancer patients (mCRC), but the knowledge is based on trial patients usually not representative for the general cancer population. Patient characteristics, treatment and efficacy according to KRAS, BRAF and MSI status were analyzed in a prospectively collected unselected population-based cohort of 798 non-resectable mCRC patients. The cohort contained many patients with poor performance status (39% PS 2-4) and elderly (37% age>75), groups usually not included in clinical trials. Patients without available tissue micro array (TMA) (42%) had worse prognostic factors and inferior survival (all patients; 7m vs 11m, chemotherapy-treated;12m vs 17m). The 92 patients (21%) with BRAF mutation had a poor prognosis regardless of microsatellite instability, but receipt of 1-2nd chemotherapy was similar to wildtype BRAF patients. Median survival in this cohort varied from 1 month in BRAF mutated patients not given chemotherapy to 26 months in wildtype KRAS/BRAF patients <75 years in good PS. TMA availability, BRAF mutation and KRAS mutation were all independent prognostic factors for survival. The observed 21% BRAF mutation incidence is higher than the previously and repeatedly reported incidence of 5-12% in mCRC. Screening for BRAF mutations before selection of treatment is relevant for many patients, especially outside clinical trials. A BRAF mutation only partly explained the very poor prognosis of many mCRC patients. Survival in unselected metastatic colorectal cancer patients is extremely variable and subgroups have an extremely short survival compared to trial patients. Patients without available TMA had worse prognostic factors and shorter survival, which questions the total generalizability of present TMA studies and implies that we lack information on the biologically worst mCRC cases. Lack of available tissue is an important underexposed issue which introduces sample bias, and this should be recognized more clearly when conclusions are made from translational mCRC studies.

Biobanks of fresh, unfixed human tissue represent a valuable source for gene expression analysis in translational research and molecular pathology. The aim of this study was to evaluate the impact of thawing on RNA integrity and gene expression in fresh frozen tissue specimens. Portions of snap frozen tonsil tissue, unfixed or immersed in RNAlater, were thawed at room temperature for 0 minute, 5 minutes, 30 minutes, 45 minutes, 1 hour, 3 hours, 6 hours, and 16 hours before RNA extraction. Additionally, tonsil tissue underwent repetitive freezing and thawing cycles. RNA integrity was analyzed by microchip gel electrophoresis and gene expression by quantitative real-time polymerase chain reaction for selected genes (FOS, TGFB1, HIF1A, BCL2, and PCNA). Minimal RNA degradation was detected after 30 minutes of thawing in unfixed samples. This degradation was accompanied by relevant changes in gene expression for FOS and BCL2 at 45 minutes. Modified primer design or the use of different housekeeping genes could not rectify the changes for FOS. Repetitive thawing cycles had similar effects on RNA integrity. The incubation of the tissue in RNAlater efficiently prevented RNA degradation. In conclusion, degradation of RNA in frozen tissue occurs first after several minutes of thawing. Already minimal decrease in RNA quality may result in significant changes in gene expression patterns in clinical tissue samples.