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Pan-cancer analyses that examine commonalities and differences among various cancer types have emerged as a powerful way to obtain novel insights into cancer biology. Here we present a comprehensive analysis of genetic alterations in a pan-cancer cohort including 961 tumours from children, adolescents, and young adults, comprising 24 distinct molecular types of cancer. Using a standardized workflow, we identified marked differences in terms of mutation frequency and significantly mutated genes in comparison to previously analysed adult cancers. Genetic alterations in 149 putative cancer driver genes separate the tumours into two classes: small mutation and structural/copy-number variant (correlating with germline variants). Structural variants, hyperdiploidy, and chromothripsis are linked to TP53 mutation status and mutational signatures. Our data suggest that 7–8% of the children in this cohort carry an unambiguous predisposing germline variant and that nearly 50% of paediatric neoplasms harbour a potentially druggable event, which is highly relevant for the design of future clinical trials.
Background
Oncolytic virotherapy of tumors is an up-coming, promising therapeutic modality of cancer therapy. Unfortunately, non-invasive techniques to evaluate the inflammatory host response to treatment are rare. Here, we evaluate \(^{19}\)F magnetic resonance imaging (MRI) which enables the non-invasive visualization of inflammatory processes in pathological conditions by the use of perfluorocarbon nanoemulsions (PFC) for monitoring of oncolytic virotherapy.
Methodology/Principal Findings
The Vaccinia virus strain GLV-1h68 was used as an oncolytic agent for the treatment of different tumor models. Systemic application of PFC emulsions followed by \(^1H\)/\(^{19}\)F MRI of mock-infected and GLV-1h68-infected tumor-bearing mice revealed a significant accumulation of the \(^{19}\)F signal in the tumor rim of virus-treated mice. Histological examination of tumors confirmed a similar spatial distribution of the \(^{19}\)F signal hot spots and \(CD68^+\)-macrophages. Thereby, the \(CD68^+\)-macrophages encapsulate the GFP-positive viral infection foci. In multiple tumor models, we specifically visualized early inflammatory cell recruitment in Vaccinia virus colonized tumors. Furthermore, we documented that the \(^{19}\)F signal correlated with the extent of viral spreading within tumors.
Conclusions/Significance
These results suggest \(^{19}\)F MRI as a non-invasive methodology to document the tumor-associated host immune response as well as the extent of intratumoral viral replication. Thus, \(^{19}\)F MRI represents a new platform to non-invasively investigate the role of the host immune response for therapeutic outcome of oncolytic virotherapy and individual patient response.
The functionalities of DNA and RNA are mainly determined by the various interactions between the pairing nucleobases. To understand the complex interplay of the various interactions model systems are needed in which the interstrand pairing is less restricted by the backbone. Such systems are peptide nucleo acids (PNA) in which the sugar phosphate backbone of DNA or RNA is replaced by a peptide backbone. Diederichsen et al. were able to synthesize a large number of systems with an alpha-alanyl backbone to which canonical and non-canonical nucleobases were attached (alpha-alanyl-PNA). These systems formed aggregates with various binding motifs which do not appear in DNA or RNA. Especially the unusual binding motifs would allow a deep insight into the complex interplay of the interactions between nucleobases but the small solubility of alpha-alanyl PNA oligomers hampers the experimental determination of the geometrical arrangement by X-Ray or NMR. Only the overall stability of the various aggregates could be determined by measurements of melting temperatures via UV spectroscopy. Since a detailed knowledge about the geometrical structure and bonding motifs are necessary to obtain insight into the interplay of the various interactions it is the goal of the present work to achieve such information with the help of theoretical approaches. Additionally we are interested in the effects which govern the trends in the stabilities of the systems. This task should be simpler than an investigation of the absolute stabilities since many contributions (e.g. entropic and dynamic effects) can be expected to be similar for similar systems. Consequently, such effects are less important for our goal. For the investigation of all experimentally tested alpha-alanyl-PNA oligomers it was essential to parameterize the noncanonical nucleobases since they were not implemented in the standard version of the Amber4.1 force field. This was achieved by adding the missing parameters to the Amber Force Field. The charges of each nucleobase were determined by the R.E.D program package. The investigation started with the construction of all possible pairing modes for alpha-alanyl-PNA dimer. It could be observed that certain pairing modes were not realizable due to the geometrical arrangement of the dimer and the restriction of the backbone. For other pairing modes a construction was possible, but due to the geometrical restrictions of the backbone the strain in the system is so high that they fall apart during a first geometry optimization. Stable systems were then simulated by various molecular dynamics (MD)-runs. Information about their geometrical arrangements for T=0 K were obtained from geometry optimizations which were started from various points of the MD-run. The resulting geometries were found to be virtually identical. Information about the interactions within a dimer at T=0 K were obtained from a two step procedure in which the effects connected with the nucleobases and the influence of the backbone are determined separately. It was performed for the optimized geometries. In a first step the backbone was removed and the resulting dangling bonds were saturated by methyl groups. The total interaction energy between the nucleobases can now be estimated by the difference between the energy of the complete system and the sum of the energies of the single nucleobases computed at the geometries they take in the whole system. According to the carried out investigation and the resulting correlation of the melting temperature with the calculated stabilization energies the presented method seems to represent a reliable tool for the description of the PNA systems. Despite this success additional experimental verifications of our method are necessary to ensure its applicability. Such verifications could be based on geometrical information obtained via X-Ray or NMR investigations. More detailed data about entropic an enthalpic contribution to the stability of the various complexes would also be very helpful to verify and improve our approach. Such information could be either obtained from a careful analysis of shape of the melting temperature curve or from microcalorimetric investigations. If such tests confirm our predictions the approach could be extended and applied to neighboring fields as for examples beta-alanyl-PNA, DNA or RNA systems with unusual nucleobases. Such information is also necessary to extend our approach in a way that dynamic and/or entropic effects are also taken into account.
Background
Inherited pathogenic variants in BRCA1 and BRCA2 are the most common causes of hereditary breast and ovarian cancer (HBOC). The risk of developing breast cancer by age 80 in women carrying a BRCA1 pathogenic variant is 72%. The lifetime risk varies between families and even within affected individuals of the same family. The cause of this variability is largely unknown, but it is hypothesized that additional genetic factors contribute to differences in age at onset (AAO). Here we investigated whether truncating and rare missense variants in genes of different DNA-repair pathways contribute to this phenomenon.
Methods
We used extreme phenotype sampling to recruit 133 BRCA1-positive patients with either early breast cancer onset, below 35 (early AAO cohort) or cancer-free by age 60 (controls). Next Generation Sequencing (NGS) was used to screen for variants in 311 genes involved in different DNA-repair pathways.
Results
Patients with an early AAO (73 women) had developed breast cancer at a median age of 27 years (interquartile range (IQR); 25.00–27.00 years). A total of 3703 variants were detected in all patients and 43 of those (1.2%) were truncating variants. The truncating variants were found in 26 women of the early AAO group (35.6%; 95%-CI 24.7 - 47.7%) compared to 16 women of controls (26.7%; 95%-CI 16.1 to 39.7%). When adjusted for environmental factors and family history, the odds ratio indicated an increased breast cancer risk for those carrying an additional truncating DNA-repair variant to BRCA1 mutation (OR: 3.1; 95%-CI 0.92 to 11.5; p-value = 0.07), although it did not reach the conventionally acceptable significance level of 0.05.
Conclusions
To our knowledge this is the first time that the combined effect of truncating variants in DNA-repair genes on AAO in patients with hereditary breast cancer is investigated. Our results indicate that co-occurring truncating variants might be associated with an earlier onset of breast cancer in BRCA1-positive patients. Larger cohorts are needed to confirm these results.
We present a consistent renormalization scheme for the CP-conserving Two-Higgs-Doublet Model based on (MS)over-bar renormalization of the mixing angles and the soft-Z 2-symmetry-breaking scale M sb in the Higgs sector. This scheme requires to treat tadpoles fully consistently in all steps of the calculation in order to provide gauge-independent S-matrix elements. We show how bare physical parameters have to be defined and verify the gauge independence of physical quantities by explicit calculations in a general R ξ -gauge. The procedure is straightforward and applicable to other models with extended Higgs sectors. In contrast to the proposed scheme, the (MS)over-bar renormalization of the mixing angles combined with popular on-shell renormalization schemes gives rise to gauge-dependent results already at the one-loop level. We present explicit results for electroweak NLO corrections to selected processes in the appropriately renormalized Two-Higgs-Doublet Model and in particular discuss their scale dependence.
Context
Primary aldosteronism (PA) is the most frequent form of endocrine hypertension. Besides its deleterious impact on cardiovascular target organ damage, PA is considered to cause osteoporosis.
Patients and methods
We assessed bone turnover in a subset of 36 postmenopausal women with PA. 18 patients had unilateral PA and were treated by adrenalectomy, whereas 18 patients had bilateral PA and received mineralocorticoid receptor antagonist (MRA) therapy respectively. 18 age- and BMI-matched females served as controls. To estimate bone remodeling, we measured the bone turnover markers intact procollagen 1 N-terminal propeptide, bone alkaline phosphatase, osteocalcin and tartrate resistant acid phosphatase 5b in plasma by chemiluminescent immunoassays at time of diagnosis and one year after initiation of treatment.
Study design
Observational longitudinal cohort study.
Setting
Tertiary care hospital.
Results
Compared with controls, patients with PA had mildly elevated osteocalcin at baseline (p = 0.013), while the other bone markers were comparable between both groups. There were no differences between the unilateral and the bilateral PA subgroup. One year after initiation of MRA treatment with spironolactone bone resorption and bone formation markers had significantly decreased in patients with bilateral PA. In contrast, patients adrenalectomized because of unilateral PA showed no significant change of bone turnover markers.
Conclusion
This study shows that aldosterone excess in postmenopausal women with PA is not associated with a relevant increase of bone turnover markers at baseline. However, we observed a significant decrease of bone markers in patients treated with spironolactone, but not in patients treated by adrenalectomy.