Resilient, Mindful, and Satisfied Educational Professionals

This study conducted confirmatory factor analysis (CFA) and exploratory factor analysis (EFA) using both the Connor-Davidson Resilience Scale (CD-RISC 25) and the Mindfulness Attention Awareness Scale (MAAS) to create a validated, synergistic, higher-order factor we call Invicti Anima based on the responses 630 teachers and building-based educational leaders in three northeastern USA states. Controlling for important contextual variables including educator sense of agency, our structural equation path model mapped the relationships between educator role, level of Invicti Anima, and Job Satisfaction, as measured by the Job Satisfaction Index (JSI). The educators in our study who were strong in Invicti Anima exhibited characteristics of both resiliency and mindfulness, and were significantly and substantially more satisfied on their jobs, even net of their sense of control (agency) in their schools. Our findings have important implications for the professional development of educators in dealing with stress, longevity in their positions, and positive outcomes for the students and others under their direction

School Administrators’ Perceptions of Critical Teacher Skills

Forty school administrators in the Lower Hudson Valley of New York State were surveyed about the characteristics of preservice and novice teachers believed most critical. These administrators represented a broad and socio-demographically diverse cross-section of rural, suburban and urban school districts. The administrators collectively rated establishing rapport with students and behavior management as the most critical skills for preservice and new teachers to possess. Examining roles separately, assistant principals valued rapport with students and creating effective lessons as most important, whereas principals rated effectively communicating with parents and guardians, and reflecting on teaching performance as being most important. The most frequently cited reason for not hiring or reappointing a candidate was lack of engagement with students. An ability to collaborate with colleagues as well as competence in working with students with disabilities and ELLS represent skills administrators also valued in teacher candidates. Furthermore, administrators identified authentic classroom experiences prior to student teaching as invaluable preparation for the classroom and a “difference-maker” in the quality and effectiveness of preservice teacher candidates. Finally, administrators noted areas of current and future job demand; need and growth areas for teachers were reported to be STEM and STEAM, Special Education, Bilingual/Language Education, and Dual Certification

Roads & SDGs, tradeoffs and synergies: learning from Brazil's Amazon in distinguishing frontiers

To inform the search for SDG synergies in infrastructure provision, and to reduce SDG tradeoffs, the authors show that road impacts on Brazilian Amazon forests have varied significantly across settings. Forest loss varied predictably with prior development – both prior roads and prior deforestation – and in a spatial pattern suggesting a synergy between forests and urban growth in such frontiers. Examining multiple roads investments, the authors estimate impact for settings of high, medium and low prior roads and deforestation. Census-tract observations are numerous for each setting and reveal a pattern, not consistent with endogeneity, that confirms our predictions for this kind of frontier. Impacts are: low after relatively high prior development; larger for medium prior development, at the forest margin; then low again for low prior development. For the latter setting, the authors note that in such isolated areas, interactions with conservation policies influence forest impacts over time. These Amazonian results suggest 'SDG strategic' locations of infrastructure, an idea they suggest for other frontiers while highlighting differences in those frontiers and their SDG opportunities

Genomic and protein expression analysis reveals flap endonuclease 1 (FEN1) as a key biomarker in breast and ovarian cancer

FEN1 has key roles in Okazaki fragment maturation during replication, long patch base excision repair, rescue of stalled replication forks, maintenance of telomere stability and apoptosis. FEN1 may be dysregulated in breast and ovarian cancers and have clinicopathological significance in patients. We comprehensively investigated FEN1 mRNA expression in multiple cohorts of breast cancer [training set (128), test set (249), external validation (1952)]. FEN1 protein expression was evaluated in 568 oestrogen receptor (ER) negative breast cancers, 894 ER positive breast cancers and 156 ovarian epithelial cancers. FEN1 mRNA overexpression was highly significantly associated with high grade (p= 4.89 x 10 - 57) , high mitotic index (p= 5.25 x 10 - 28), pleomorphism (p= 6.31 x 10-19), ER negative (p= 9.02 x 10-35 ), PR negative (p= 9.24 x 10-24 ), triple negative phenotype (p= 6.67 x 10-21) , PAM50.Her2 (p=5.19 x 10-13 ), PAM50.Basal (p=2.7 x 10-41), PAM50.LumB (p=1.56 x 10-26), integrative molecular cluster 1 (intClust.1) ( p=7.47 x 10-12), intClust.5 (p=4.05 x 10-12) and intClust. 10 (p=7.59 x 10-38 ) breast cancers. FEN1 mRNA overexpression is associated with poor breast cancer specific survival in univariate (p=4.4 x 10-16) and multivariate analysis (p=9.19 x 10-7). At the protein level, in ER positive tumours , FEN1 overexpression remains significantly linked to high grade, high mitotic index and pleomorphism (ps< 0.01). In ER negative tumours, high FEN1 is significantly associated with pleomorphism, tumour type, lymphovascular invasion, triple negative phenotype, EGFR and HER2 expression (ps<0.05). In ER positive as well as in ER negative tumours, FEN1 protein over expression is associated with poor survival in univariate and multivariate analysis (ps<0.01). In ovarian epithelial cancers , similarly, FEN1 overexpression is associated with high grade, high stage and poor survival (ps<0.05). We conclude that FEN1 is a promising biomarker in breast and ovarian epithelial cancer

Prognostic Value of MammaPrint® in Invasive Lobular Breast Cancer.

BACKGROUND: MammaPrint® is a microarray-based gene expression test cleared by the US Food and Drug Administration to assess recurrence risk in early-stage breast cancer, aimed to guide physicians in making neoadjuvant and adjuvant treatment decisions. The increase in the incidence of invasive lobular carcinomas (ILCs) over the past decades and the modest representation of ILC in the MammaPrint development data set calls for a stratified survival analysis dedicated to this specific subgroup. STUDY AIM: The current study aimed to validate the prognostic value of the MammaPrint test for breast cancer patients with early-stage ILCs. MATERIALS AND METHODS: Univariate and multivariate survival associations for overall survival (OS), distant metastasis-free interval (DMFI), and distant metastasis-free survival (DMFS) were studied in a study population of 217 early-stage ILC breast cancer patients from five different clinical studies. RESULTS AND DISCUSSION: A significant association between MammaPrint High Risk and poor clinical outcome was shown for OS, DMFI, and DMFS. A subanalysis was performed on the lymph node-negative study population. In the lymph node-negative study population, we report an up to 11 times higher change in the diagnosis of an event in the MammaPrint High Risk group. For DMFI, the reported hazard ratio is 11.1 (95% confidence interval = 2.3-53.0). CONCLUSION: Study results validate MammaPrint as an independent factor for breast cancer patients with early-stage invasive lobular breast cancer. Hazard ratios up to 11 in multivariate analyses emphasize the independent value of MammaPrint, specifically in lymph node-negative ILC breast cancers.This study was supported in part by the European Union Seventh Framework Programme (FP7/2007–2013) under the RATHER project (Rational Therapy for Breast Cancer; grant agreement no. 258967

A Biobank of Breast Cancer Explants with Preserved Intra-tumor Heterogeneity to Screen Anticancer Compounds.

The inter- and intra-tumor heterogeneity of breast cancer needs to be adequately captured in pre-clinical models. We have created a large collection of breast cancer patient-derived tumor xenografts (PDTXs), in which the morphological and molecular characteristics of the originating tumor are preserved through passaging in the mouse. An integrated platform combining in vivo maintenance of these PDTXs along with short-term cultures of PDTX-derived tumor cells (PDTCs) was optimized. Remarkably, the intra-tumor genomic clonal architecture present in the originating breast cancers was mostly preserved upon serial passaging in xenografts and in short-term cultured PDTCs. We assessed drug responses in PDTCs on a high-throughput platform and validated several ex vivo responses in vivo. The biobank represents a powerful resource for pre-clinical breast cancer pharmacogenomic studies (http://caldaslab.cruk.cam.ac.uk/bcape), including identification of biomarkers of response or resistance.This research was supported with funding from Cancer Research UK and from the European Union to the EUROCAN Network of Excellence (FP7; grant numnumber 260791). M.C. has received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Sk1odowska-Curie grant agreement no. 660060 and was supported by the Department of Experimental Oncology and Molecular Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy. R.N.B. is supported by the Wellcome Trust PhD Programme in Mathematical Genomics and Medicine. S-J.S. is supported by the Wellcome Trust PhD Programme for Clinicians in Cambridge. A.Bruna, O.M.R., E.M., V.S., and C.C. are members of the EurOPDX Consortium. Weare very grateful for the generosity of all the patients that donated samples for implantation. We are also deeply indebted to all the staff (surgeons, pathologists, oncologists, theatre staff, and other ancillary personnel) at the Cambridge Breast Unit, Cambridge University Hospital NHS Foundation Trust, for facilitating the timely collection of samples. We thank the Cancer Research UK Cambridge Institute Genomics, Bioinformatics, Histopathology, Flow Cytometry, Biological Resource, and Bio-repository Core Facilities for support during the execution of this project.This is the final version of the article. It first appeared from Elsevier at http://dx.doi.org/10.1016/j.cell.2016.08.041