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Studies on teachers’ beliefs about vocabulary learning and teaching have focused, so far, on English as a second language (L2), or foreign language (FL), in different contexts but little attention has been given to other L2s and FLs. In this study, 15 Spanish L2 instructors at large universities were interviewed in order to better understand where they stand when it comes to (1) the importance they give to vocabulary, as compared to grammar, in their classes, (2) how they decide which words to teach, and (3) how they assess students’ word knowledge. These interviews were subsequently analysed following Grounded Theory. Most instructors declared favoring grammar over vocabulary in their courses because the former is seen as more challenging and useful than the latter and because institutional practices and materials also present such a preference. When it comes to vocabulary selection, most of them declared feeling insecure in their decisions due to lack of access to useful resources and to vocabulary goals not being stated clearly anywhere in the syllabi. This lack of clarity when it comes to vocabulary learning goals also results in doubts about the usefulness of even evaluating word learning at all and an overreliance on informal assessments.

To improve cancer disparities among under-represented minority (URM) populations, better representation of URM individuals in cancer research is needed. The San Diego State University and University of California San Diego Moores Cancer Center Partnership is addressing cancer disparities through an educational program targeting undergraduate URM students. The Partnership provides a paid intensive summer research internship enriched with year-round activities that include educational sessions, a journal club, mentorship, social activities, and poster sessions and presentations. Program evaluation through follow-up surveys, focus groups, and other formal and informal feedback, including advisory and program steering committees, are used to improve the program. Long-term follow-up among scholars (minimum of 10 years) provides data to evaluate the program's long-term impact on scholars' education and career path. Since 2016, 63 URM undergraduate students participated in the scholar program. At the year-2 follow-up (2016 cohort; n = 12), 50% had completed their Graduate Record Examination (GRE) and/or applied to graduate or medical school. Lessons learned during the course of the program led to implementation of changes to provide a better learning experience and increase overall program satisfaction. Updates were made to recruitment timeline, improvements of the recruitment processes, refinement of the program contracts and onboarding meetings, identification of essential program coordinator skills and responsibilities, adjustments to program components, and establishment of a well-mapped and scheduled evaluation plan. The Partnership identified best practices and lessons learned for implementing lab-based internship scholar programs in biomedical and public health fields that could be considered in other programs.

IntroductionSotos Syndrome (SS, OMIM#117550) is a heterogeneous genetic condition, recognized by three main clinical features present in most cases: overgrowth with macrocephaly, typical facial appearance and different degrees of intellectual disability. Three different types are described caused by variants or deletions/duplications in NSD1, NFIX and APC2 genes. We aimed to describe a cohort of pediatric patients reporting the typical and unexpected findings in order to expand the phenotype of this syndrome and trying to find genotype-phenotype correlations.MethodsIn our referral center, we collected and analyzed clinical and genetic data of 31-patients cohort diagnosed with SS.ResultsAll of them presented with overgrowth, typical dysmorphic features and different degree of developmental delay. Although structural cardiac defects have been reported in SS, non-structural diseases such as pericarditis were outstanding in our cohort. Moreover, we described here novel oncological malignancies not previously linked to SS such as splenic hamartoma, retinal melanocytoma and acute lymphocytic leukemia. Finally, five patients suffered from recurrent onychocryptosis that required surgical procedures, as an unreported prevalent medical condition.DiscussionThis is the first study focusing on multiple atypical symptoms in SS at the time that revisits the spectrum of clinical and molecular basis of this heterogeneous entity trying to unravel a genotype-phenotype correlation.

We report on the largest single dataset of patients with PMM2‐CDG enrolled in an ongoing international, multicenter natural history study collecting genetic, clinical, and biological information to evaluate similarities with previous studies, report on novel findings, and, additionally, examine potential genotype/phenotype correlations. A total of 137 participants had complete genotype information, representing 60 unique variants, of which the most common were found to be p.Arg141His in 58.4% (n = 80) of participants, followed by p.Pro113Leu (21.2%, n = 29), and p.Phe119Leu (12.4%, n = 17), consistent with previous studies. Interestingly, six new variants were reported, comprised of five missense variants (p.Pro20Leu, p.Tyr64Ser, p.Phe68Cys, p.Tyr76His, and p.Arg238His) and one frameshift (c.696del p.Ala233Argfs∗100). Patient phenotypes were characterized via the Nijmegen Progression CDG Rating Scale (NPCRS), together with biochemical parameters, the most consistently dysregulated of which were coagulation factors, specifically antithrombin (below normal in 79.5%, 93 of 117), in addition to Factor XI and protein C activity. Patient genotypes were classified based upon the predicted pathogenetic mechanism of disease‐associated mutations, of which most were found in the catalysis/activation, folding, or dimerization regions of the PMM2 enzyme. Two different approaches were used to uncover genotype/phenotype relationships. The first characterized genotype only by the predicted pathogenic mechanisms and uncovered associated changes in biochemical parameters, not apparent using only NPCRS, involving catalysis/activation, dimerization, folding, and no protein variants. The second approach characterized genotype by the predicted pathogenic mechanism and/or individual variants when paired with a subset of severe nonfunctioning variants and uncovered correlations with both NPCRS and biochemical parameters, demonstrating that p.Cys241Ser was associated with milder disease, while p.Val231Met, dimerization, and folding variants with more severe disease. Although determining comprehensive genotype/phenotype relationships has previously proven challenging for PMM2‐CDG, the larger sample size, plus inclusion of biochemical parameters in the current study, has provided new insights into the interplay of genetics with disease. Trial Registration:NCT03173300. [ABSTRACT FROM AUTHOR]

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Simple Summary: Chemoresistance poses a significant challenge in treating breast and colorectal cancers, making the identification of predictive biomarkers for chemotherapy response a crucial area of research. However, validating in vitro results can be difficult due to varied outcomes. This study investigates the use of 3D tumorspheres as an in vitro model to validate chemoresistance biomarkers in breast and colorectal cancer. The research emphasizes the role of inflammation-related pathways in influencing chemotherapy response. In silico analysis identified specific biomarkers that were elevated in patients who responded to treatment, and these markers were more prominent in 3D tumorspheres compared to traditional 2D cell cultures. Additionally, the study found that breast and colorectal cancer cells formed more tumorspheres in response to chemotherapy drugs (cisplatin and oxaliplatin, respectively), while cell viability decreased in standard adherent cultures. This suggests that the 3D tumorsphere model more accurately replicates the tumor environment and chemoresistance mechanisms. The findings support the use of 3D tumorspheres as a superior model for validating in silico data and studying the connection between inflammation and chemoresistance in breast and colorectal cancers. Chemoresistance remains a major challenge in the treatment of breast and colorectal cancer. For this reason, finding reliable predictive biomarkers of response to chemotherapy has become a significant research focus in recent years. However, validating in vitro results may be problematic due to the outcome heterogeneity. In this study, we evaluate the use of tumorspheres as an in vitro model for validating biomarkers of chemoresistance in breast and colorectal cancer. Our investigation highlights the crucial role of inflammation-related pathways in modulating the response to chemotherapy. Using in silico approaches, we identified specific markers elevated in responders versus non-responders patients. These markers were consistently higher in three-dimensional (3D) tumorsphere models compared to traditional adherent cell culture models. Furthermore, the number of tumorspheres from breast and colorectal cancer cells increased in response to cisplatin and oxaliplatin treatment, respectively, whereas cell viability decreased in adherent cell culture. This differential response underscores the importance of the 3D tumorsphere model in mimicking the tumor microenvironment more accurately than adherent cell culture. The enhanced chemoresistance observed in the 3D tumorspheres model and their correlation of data with the in silico study suggest that 3D culture models are a better option to approach the in vivo model and also to validate in silico data. Our findings indicate that tumorspheres are an ideal model for validating chemoresistance biomarkers and exploring the interplay between inflammation and chemoresistance in breast and colon cancer. [ABSTRACT FROM AUTHOR]