Adolescents' experiences of victimization: the role of attribution style and generalized trust

Positive attribution style, negative attribution style, and generalised peer trust beliefs were examined as mediators in the relationship between adolescents’ peer victimisation experiences and psychosocial and school adjustment. Two hundred and eighty (150 female and 130 males, Mage = 13 years 4 months, SDage = 1 year 1 month) adolescents completed measures of peer victimisation, global self-worth, depressive symptoms, social confidence, school liking, loneliness, attribution styles, and generalised trust beliefs. Multigroup path analysis revealed that: (a) negative attribution style mediated the relationship between cyber victimisation and school liking and depressive symptoms for males and females; (b) positive attribution style mediated the relationship between cyber victimisation, school liking, global self-worth, and depressive symptoms for females; and (c) generalised peer trust beliefs mediated the relationship between social victimisation, depressive symptoms, social confidence, and loneliness for females. Consequently, attribution style and generalised trust beliefs differentially influence the relationship between peer victimisation and adjustment

Omission of surgery in older women with early breast cancer has an adverse impact on breast cancer specific survival

Background: Primary endocrine therapy (PET) is used as an alternative to surgery in up to 40% of UK women with early breast cancer over age 70. This study has investigated the impact of surgery versus PET on breast cancer specific survival (BCSS) in older women. Methods: Cancer registration data were obtained from two English regions from 2002 to 2010 (n=23,961). A retrospective analysis was performed for women with ER positive disease, using statistical modelling to show the effect of treatment (surgery or PET) and age/health status on BCSS. Missing data was handled using multiple imputation. Results: After data pre-processing, 18,730 (78.5%) were identified as having ER positive disease; of these, 10,087 (54%) had surgery and 8,643 (46%) had PET. BCSS was worse in the PET group compared with the surgical group (5 year BCSS: 69% v 90% respectively). This was true for all strata considered, though the differential was lessened in the cohort with the greatest degree of comorbidity. For older, frailer patients the hazard of breast cancer death has less relative impact on overall survival. Selection for surgery on the basis of predicted life expectancy may permit selection of women for whom surgery confers little benefit. This model is being used to develop an on-line algorithm to aid management of older women with early breast cancer (Age Gap Risk Prediction Tool). Conclusion: BCSS in older women with ER positive disease is worse if surgery is omitted. This treatment choice may, therefore, contribute to inferior cancer outcomes

Stage and treatment variation with age in postmenopausal women with breast cancer: compliance with guidelines

Breast cancer-specific mortality is static in older women despite having fallen in younger age groups, possibly due to lack of screening and differences in treatment. This study compared stage and treatment between two cohorts of postmenopausal women (55–69 vs 470 years) in a single cancer network over 6 months. A total of 378 patients were studied (470: N ¼ 167, 55–69 years: N ¼ 210). Older women presented with more advanced disease (470: metastatic/locally advanced 12%, 55–69 years: 3%, Po0.01). Those with operable cancer had a worse prognosis (Nottingham Prognostic Index (NPI) 470: median NPI 4.4, 55–69 years: 4.25, Po0.03). These stage differences were partially explained by higher screening rates in the younger cohort. Primary endocrine therapy was used in 42% of older patients compared with 3% in the younger group (Po0.001). Older women with cancers suitable for breast conservation were more likely to choose mastectomy (470: 57.5% mastectomy rate vs 55–69 years: 20.6%, Po0.01). Nodal surgery was less frequent in older patients (470: 6.7% no nodal surgery, 55–69 years: 0.5%, Po0.01) and was more likely to be inadequate (470: 10.7% o4 nodes excised, 55–69 years: 3.4%, Po0.02). In summary, older women presented with more advanced breast cancer, than younger postmenopausal women and were treated less comprehensively

Probability landscapes for integrative genomics

<p>Abstract</p> <p>Background</p> <p>The comprehension of the gene regulatory code in eukaryotes is one of the major challenges of systems biology, and is a requirement for the development of novel therapeutic strategies for multifactorial diseases. Its bi-fold degeneration precludes brute force and statistical approaches based on the genomic sequence alone. Rather, recursive integration of systematic, whole-genome experimental data with advanced statistical regulatory sequence predictions needs to be developed. Such experimental approaches as well as the prediction tools are only starting to become available and increasing numbers of genome sequences and empirical sequence annotations are under continual discovery-driven change. Furthermore, given the complexity of the question, a decade(s) long multi-laboratory effort needs to be envisioned. These constraints need to be considered in the creation of a framework that can pave a road to successful comprehension of the gene regulatory code.</p> <p>Results</p> <p>We introduce here a concept for such a framework, based entirely on systematic annotation in terms of probability profiles of genomic sequence using any type of relevant experimental and theoretical information and subsequent cross-correlation analysis in hypothesis-driven model building and testing.</p> <p>Conclusion</p> <p>Probability landscapes, which include as reference set the probabilistic representation of the genomic sequence, can be used efficiently to discover and analyze correlations amongst initially heterogeneous and un-relatable descriptions and genome-wide measurements. Furthermore, this structure is usable as a support for automatically generating and testing hypotheses for alternative gene regulatory grammars and the evaluation of those through statistical analysis of the high-dimensional correlations between genomic sequence, sequence annotations, and experimental data. Finally, this structure provides a concrete and tangible basis for attempting to formulate a mathematical description of gene regulation in eukaryotes on a genome-wide scale.</p

A review of the international early recommendations for departments organization and cancer management priorities during the global COVID-19 pandemic: applicability in low- and middle-income countries.

Coronavirus disease 2019 (COVID-19) is an infectious disease caused by a new virus that has never been identified in humans before. COVID-19 caused at the time of writing of this article, 2.5 million cases of infections in 193 countries with 165,000 deaths, including two-third in Europe. In this context, Oncology Departments of the affected countries had to adapt quickly their health system care and establish new organizations and priorities. Thus, numerous recommendations and therapeutic options have been reported to optimize therapy delivery to patients with chronic disease and cancer. Obviously, while these cancer care recommendations are immediately applicable in Europe, they may not be applicable in certain emerging and low- and middle-income countries (LMICs). In this review, we aimed to summarize these international guidelines in accordance with cancer types, making a synthesis for daily practice to protect patients, staff and tailor anti-cancer therapy delivery taking into account patients/tumour criteria and tools availability. Thus, we will discuss their applicability in the LMICs with different organizations, limited means and different constraints

Letrozole in the neoadjuvant setting: the P024 trial

Neoadjuvant chemotherapy trials have consistently reported lower response rates in hormone receptor-positive (HR+) breast cancer when compared with HR− cases. Preoperative endocrine therapy has therefore become a logical alternative and has gained considerable momentum from the finding that aromatase inhibitors (AIs) are more effective than tamoxifen for HR+ breast cancer in both the neoadjuvant and adjuvant settings. The most convincing neoadjuvant trial to demonstrate the superiority of an AI versus tamoxifen was the P024 study, a large multinational double-blind trial in postmenopausal women with HR+ breast cancer ineligible for breast-conserving surgery. The overall response rate (ORR) was 55% for letrozole and 36% for tamoxifen (P < 0.001). Significantly more letrozole-treated patients underwent breast-conserving surgery (45 vs. 35%, respectively; P = 0.022). In addition, ORR was significantly higher with letrozole than tamoxifen in the human epidermal growth factor receptor HER1/HER2+ subgroup (P = 0.0004). The clinical efficacy of letrozole in HER2+ breast cancer was confirmed by fluorescent in situ hybridization analysis and was found to be comparable to that of HER2− cases (ORR 71% in both subsets). Biomarker studies confirmed the superiority of letrozole in centrally assessed estrogen receptor-positive (ER+) tumors and found a strong relationship with the degree of ER positivity for both agents. Interestingly, letrozole was effective even in marginally ER+ tumors and, unlike tamoxifen, consistently reduced the expression from estrogen-regulated genes (progesterone receptor and trefoil factor 1). Furthermore, when analyzed by Ki67 immunohistochemistry, letrozole was significantly more effective than tamoxifen in reducing tumor proliferation (P = 0.0009). Thus, neoadjuvant letrozole is safe and superior to tamoxifen in the treatment of postmenopausal women with HR+ locally advanced breast cancer

Tallness is associated with risk of testicular cancer: evidence for the nutrition hypothesis

The pathogenesis of testicular germ cell tumours (GCTs) is potentially influenced by high-energy nutrition during infancy. As adult height is a proxy for childhood nutrition, we investigated the role of nutrition in GCT pathogenesis by comparing stature of patients with healthy men. In a matched case–control study, 6415 patients with GCT were compared with healthy army conscripts (1:6 matching modus) with regard to height (cm) and body mass index (BMI; kg/m2). Statistical analysis involved tabulation of descriptive height measures and BMI. Conditional logistic regression models were used to quantify the association of GCT with height, with odds ratios (OR) adjusted for BMI. The literature was searched for studies on stature in GCT patients. Body size is significantly associated with risk of GCT, very tall men (>195 cm) having a GCT risk of OR=3.35 (95% confidence intervals (CI): 2.88–3.90; adjusted). Short stature is protective (OR=0.798; 95% CI: 0.68–0.93). Both histologic subgroups are associated with tallness. Of 16 previous reports, 7 were confirmative, 5 had null and 4 equivocal results. The association of stature with GCT risk accords with the nutrition hypothesis of GCT. This study expands the current view of GCT tumorigenesis by suggesting that high-calorie intake in childhood promotes GCT precursors originating in utero