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In the context of finite elasticity, we propose plate models describing the spontaneous bending of nematic elastomer thin films due to variations along the thickness of the nematic order parameters. Reduced energy functionals are deduced from a three-dimensional description of the system using rigorous dimension reduction techniques, based on the theory of Γ-convergence. The two-dimensional models are non-linear plate theories, in which deviations from a characteristic target curvature tensor cost elastic energy. Moreover, the stored energy functional cannot be minimised to zero, thus revealing the presence of residual stresses, as observed in numerical simulations. Three nematic textures are considered: splay-bend and twisted orientations of the nematic director, and a uniform director perpendicular to the mid-plane of the film, with variable degree of nematic order along the thickness. These three textures realise three very different structural models: one with only one stable spontaneously bent configuration, a bistable model with two oppositely curved configurations of minimal energy, and a shell with zero stiffness to twisting.

The TCMP-1 and TCMP-2 genes of tomato code for metallocarboxypeptidase inhibitors and show sequential, tightly regulated expression patterns during flower and fruit development. In particular, TCMP-1 is highly expressed in flower buds before anthesis, while TCMP-2 in ripe fruits. Their expression pattern suggests that they might play a role in fruit development. Here, to investigate their function, we altered their endogenous levels by generating transgenic plants harbouring a chimeric gene expressing the TCMP-1 coding sequence under the control of the TCMP-2 promoter. The expression of the transgene caused an earlier fruit setting with no visible phenotypic effects on plant and fruit growth. The altered TCMP-1 regulation determines an increased level of TCMP-1 in the fruit and unexpected changes in the levels of both TCMPs in flower buds before anthesis, suggesting a mechanism of transcriptional cross-regulation. We in silico analysed TCMPs promoter regions for the presence of common cis acting elements related to ovary/fruit development and we found that both promoters contain putative binding sites for INNER NO OUTER (INO), a transcription factor implicated in ovule development. By chromatin immunoprecipitation, we proved that INO binds to TCMP-1 and TCMP-2 promoters, thereby representing a candidate regulatory factor for coordinated control of TCMPs.

The toxicity and efficacy of intrathecal liposomal cytarabine (LC) were evaluated in children with central nervous system (CNS) relapsed/refractory acute leukemia/lymphoma. Thirty patients (male:female ratio 21:9; median age 9.4 years) with CNS relapsed/resistant disease were treated with intrathecal LC at dosages adjusted for age. Twenty-seven (90%) patients simultaneously received systemic chemotherapy, including concurrent high-dose cytarabine or methotrexate in 21 (70%) cases. Of 28 patients evaluable for response, 25 patients (89%) achieved CNS complete remission and three (11%) partial remission. The median number of intrathecal LC administrations per patient was 4. The cerebrospinal fluid was cleared after a median of 3 intrathecal LC administrations. Neurological toxicity ≥ grade 3 occurred in four (13%) patients. No permanent sequelae were observed. The median overall survival was 20.9 months and the 5-year probability of survival was 46%. These encouraging data suggest that intrathecal LC is well tolerated and effective in children with relapsed/refractory CNS leukemia/lymphoma.

Big Data and the ‘Internet of Things’ are transforming the processes of data collection, storage and use. The relationship between data collected first hand (primary data) and data collected by someone else (secondary data) is becoming more fluid. New possibilities for data collection are envisaged. Data integration is emerging as a reliable strategy to overcome data shortage and other challenges such as data coverage, quality, time dis-alignment and representativeness. When we have two (or more) data sources where the units are not (at least partially) overlapping and/or the units’ unique identifiers are unavailable, the different information collected can be integrated by using Micro Statistical Matching (MiSM). MiSM has been used in the social sciences, politics and economics, but there are very few applications that use agricultural and farm data. We present an example of MiSM data integration between primary and secondary farm data on agricultural holdings in the Emilia-Romagna region (Italy). The novelty of the work lies in the fact that integration is carried out with non-parametric MiSM, which is compared to predictive mean matching and Bayesian linear regression. Moreover, the matching validity is assessed with a new strategy. The main issues addressed, the lessons learned and the use in a research field characterised by critical data shortage are discussed.

Abstract Ovarian cancer remains the most lethal gynecologic malignancy in the United States. Although many patients with advanced-stage disease initially respond to standard combinations of surgical and cytotoxic therapy, nearly 90% develop recurrence and inevitably die from the development of chemotherapy-resistant disease. The discovery of novel and effective therapy against chemotherapy-resistant/recurrent ovarian cancer remains a high priority. Using expression profiling, we and others have recently found claudin-3 and claudin-4 genes to be highly expressed in ovarian cancer. Because these tight junction proteins have been described as the low- and high-affinity receptors, respectively, for the cytotoxic Clostridium perfringens enterotoxin (CPE), in this study we investigated the level of expression of claudin-3 and/or claudin-4 in chemotherapy-naïve and chemotherapy-resistant primary human ovarian cancers as well as their sensitivity to CPE treatment in vitro. We report that 100% (17 of 17) of the primary ovarian tumors tested overexpress one or both CPE receptors by quantitative reverse transcription-PCR. All ovarian tumors showed a dose-dependent cytotoxic effect to CPE in vitro. Importantly, chemotherapy-resistant/recurrent ovarian tumors were found to express claudin-3 and claudin-4 genes at significantly higher levels when compared with chemotherapy-naïve ovarian cancers. All primary ovarian tumors tested, regardless of their resistance to chemotherapeutic agents, died within 24 hours to the exposure to 3.3 μg/mL CPE in vitro. In addition, we have studied the in vivo efficacy of i.p. CPE therapy in SCID mouse xenografts in a highly relevant clinical model of chemotherapy-resistant freshly explanted human ovarian cancer (i.e., OVA-1). Multiple i.p. administration of sublethal doses of CPE every 3 days significantly inhibited tumor growth in 100% of mice harboring 1 week established OVA-1. Repeated i.p. doses of CPE also had a significant inhibitory effect on tumor progression with extended survival of animals harboring large ovarian tumor burdens (i.e., 4-week established OVA-1). Our findings suggest that CPE may have potential as a novel treatment for chemotherapy-resistant/recurrent ovarian cancer.

Among patients with non-small-cell lung cancer (NSCLC), those with pathological stage I have the best expectation of survival; however, survival is reduced to less than 50% in the long term. At present, it is unclear when patients can be reasonably defined as cured, and if they experience a higher incidence of malignant/nonmalignant diseases and a lower expectation of survival than the general population. A total of 134 stage I NSCLC patients, who had undergone resection at the Thoracic Surgery Unit of the General Hospital of Verona (north-eastern Italy) from October 1987 to December 1993, were still disease-free at 5 years. These subjects were further followed up, and morbidity and mortality rates were compared with those recorded in the general population of the same geographical area. The standardised incidence ratios (SIRs) for all malignancies and for lung cancer were higher than expected (2.39, 95% CI=1.6-3.5, P0.001; 10.1, 95% CI=6.2-15.6, P0.0001, respectively). The standardised mortality ratio (SMR) was also significantly increased (1.73, 95% CI=1.1-2.6, P=0.013). The excess mortality could be entirely explained by an increase in mortality from lung cancer (5.7, 95% CI=2.8-10.1, P0.0001). This study shows that patients, resected for pathological stage I NSCLC and tumour-free after 5 years, have a higher incidence of new lung cancer compared with the general population, which in turn determines an excess in all-cause mortality in the following years.

PurposeNon‐invasive axon diameter distribution (ADD) mapping using diffusion MRI is an ill‐posed problem. Current ADD mapping methods require knowledge of axon orientation before performing the acquisition. Instead, ActiveAx uses a 3D sampling scheme to estimate the orientation from the signal, providing orientationally invariant estimates. The mean diameter is estimated instead of the distribution for the solution to be tractable. Here, we propose an extension (ActiveAxADD) that provides non‐parametric and orientationally invariant estimates of the whole distribution.TheoryThe accelerated microstructure imaging with convex optimization (AMICO) framework accelerates mean diameter estimation using a linear formulation combined with Tikhonov regularization to stabilize the solution. Here, we implement a new formulation (ActiveAxADD) that uses Laplacian regularization to provide robust estimates of the whole ADD.MethodsThe performance of ActiveAxADD was evaluated using Monte Carlo simulations on synthetic white matter samples mimicking axon distributions reported in histological studies.ResultsActiveAxADD provided robust ADD reconstructions when considering the isolated intra‐axonal signal. However, our formulation inherited some common microstructure imaging limitations. When accounting for the extra axonal compartment, estimated ADDs showed spurious peaks and increased variability because of the difficulty of disentangling intra and extra axonal contributions.ConclusionLaplacian regularization solves the ill‐posedness regarding the intra axonal compartment. ActiveAxADD can potentially provide non‐parametric and orientationally invariant ADDs from isolated intra‐axonal signals. However, further work is required before ActiveAxADD can be applied to real data containing extra‐axonal contributions, as disentangling the 2 compartment appears to be an overlooked challenge that affects microstructure imaging methods in general.