Escenarios de aprendizaje bajo la metáfora de red social

Al considerar la presencia de las Tecnologías de la Información y Comunicación (TIC) como mediadores en el ámbito áulico, se propone el concepto de Escenario Interactivo de Aprendizaje (EIA) como un espacio, un punto de encuentro independiente del medio utilizado, donde confluye el docente, el estudiante y todos aquellos recursos que facilitan las relaciones multidireccionales. En el diseño del EIA se presentan las herramientas apropiadas que facilitan las interacciones, con el fin de producir un ambiente resonante compatible con los objetivos pedagógicos que persiga el docente. Este trabajo analiza el impacto que tiene la propuesta de la plataforma Edmodo correspondiente a un curso presencial de la Tecnicatura en Informática en la Facultad de Ciencias Exactas y Naturales de la Universidad Nacional de Catamarca (UNCa), considerando los diversos elementos que constituye el mencionado escenario y el nivel de preferencia por parte de los estudiantes. Se proponen algunas conclusiones acerca del empleo de las herramientas que están disponibles en el entorno virtual adaptado a un contexto con un fuerte sesgo social, que exponen condiciones favorables para promover el empleo de este tipo de aplicaciones.Ibero-American Science and Technology Education Consortiu

Escenarios de aprendizaje bajo la metáfora de red social

Al considerar la presencia de las Tecnologías de la Información y Comunicación (TIC) como mediadores en el ámbito áulico, se propone el concepto de Escenario Interactivo de Aprendizaje (EIA) como un espacio, un punto de encuentro independiente del medio utilizado, donde confluye el docente, el estudiante y todos aquellos recursos que facilitan las relaciones multidireccionales. En el diseño del EIA se presentan las herramientas apropiadas que facilitan las interacciones, con el fin de producir un ambiente resonante compatible con los objetivos pedagógicos que persiga el docente. Este trabajo analiza el impacto que tiene la propuesta de la plataforma Edmodo correspondiente a un curso presencial de la Tecnicatura en Informática en la Facultad de Ciencias Exactas y Naturales de la Universidad Nacional de Catamarca (UNCa), considerando los diversos elementos que constituye el mencionado escenario y el nivel de preferencia por parte de los estudiantes. Se proponen algunas conclusiones acerca del empleo de las herramientas que están disponibles en el entorno virtual adaptado a un contexto con un fuerte sesgo social, que exponen condiciones favorables para promover el empleo de este tipo de aplicaciones.Ibero-American Science and Technology Education Consortiu

Multigene mutation profiling and clinical characteristics of small-cell lung cancer in never-smokers vs. seavy smokers (Geno1.3-CLICaP)

Objectives: Lung cancer is a heterogeneous disease. Presentation and prognosis are known to vary according to several factors, such as genetic and demographic characteristics. Small-cell lung cancer incidence is increasing in never-smokers. However, the disease phenotype in this population is different compared with patients who have a smoking history. Material and Methods: To further investigate the clinical and genetic characteristics of this patient subgroup, a cohort of small cell lung cancer patients was divided into smokers (n = 10) and never/ever-smokers (n = 10). A somatic mutation profile was obtained using a comprehensive NGS assay. Clinical outcomes were compared using the Kaplan-Meier method and Cox proportional models. Results: Median age was 63 years (46–81), 40% were men, and 90% had extended disease. Smoker patients had significantly more cerebral metastases (p = 0.04) and were older (p = 0.03) compared to their non-smoker counterparts. For never/ever smokers, the main genetic mutations were TP53 (80%), RB1 (40%), CYLD (30%), and EGFR (30%). Smoker patients had more RB1 (80%, p = 0.04), CDKN2A (30%, p = 0.05), and CEBPA (30%, p = 0.05) mutations. Response rates to first-line therapy with etoposide plus cisplatin/carboplatin were 50% in smokers and 90% in never/ever smokers (p = 0.141). Median overall survival was significantly longer in never smokers compared with smokers (29.1 months [23.5–34.6] vs. 17.3 months [4.8–29.7]; p = 0.0054). Never/ever smoking history (HR 0.543, 95% CI 0.41–0.80), limited-stage disease (HR 0.56, 95% CI 0.40–0.91) and response to first-line platinum-based chemotherapy (HR 0.63, 95% CI 0.60–0.92) were independently associated with good prognosis. Conclusion: Our data supports that never/ever smoker patients with small-cell lung cancer have better prognosis compared to their smoker counterparts. Further, patients with never/ever smoking history who present with small-cell lung cancer have a different mutation profile compared with smokers, including a high frequency of EGFR, MET, and SMAD4 mutations. Further studies are required to assess whether the differential mutation profile is a consequence of a diverse pathological mechanism for disease onset

Genotyping squamous cell lung carcinoma in Colombia (Geno1.1-CLICaP)

Background: Lung cancer is a public health problem, and squamous cell carcinoma (SCC) is the second most prevalent subtype of this neoplasm. Compared to other subtypes, including adenocarcinoma, SCC is less well understood in terms of molecular pathogenesis, limiting therapeutic options among targeted agents approved for other disease subgroups. In this study, we sought to characterize the SCC genomic profile using a validated Next Generation Sequencing (NGS) platform. Methods: The comprehensive NGS assay (TruSight Tumor 170) was used in order to target the full coding regions of 170 cancer-related genes on SCC samples. PD-L1 expression in tumor cells (TCs) was assessed using clone 22C3 (Dako). Clinical outcomes were correlated with molecular profile, including progression free survival (PFS), overall response rate (ORR), and overall survival (OS). Results: A total of 26 samples were included, median age was 67 years (r, 33–83) and 53.8% were men. Tobacco consumption was identified in all subjects (mean 34-year package). For first-line treatment 80.8% of patients received cisplatin or carboplatin plus gemcitabine. In terms of molecular profile, we identified a high prevalence of inactivating mutations in TP53 (61.5%), PIK3CA (34.6%), MLL2 (34.6%), KEAP1 (38.4%), and NOTCH1 (26.9%). PD-L1 expression ranged from negative, 1, 2–49, and ≥50% in 23.1, 38.5, 26.9, and 11.5%, respectively. Interestingly, the genetic alterations did not have an effect in PFS, OS or ORR in this study. However, PDL1 expression was higher among those who had mutations in TP53 (p = 0.037) and greater expression of PDL1 was related to PIK3CA alterations (p = 0.05). Conclusions: The genomic profile of SCC encompasses important genes including TP53, PIK3CA and KEAP1. TP53 mutations could be associated with PDL1 expression, generating hypothesis regarding specific treatment options

Development of a gene panel for next-generation sequencing of clinically relevant mutations in cell-free DNA from cancer patients

When tumour tissue is unavailable, cell-free DNA (cfDNA)can serve as a surrogate for genetic analyses. Because mutated alleles in cfDNA are usually below 1%, next-generation sequencing (NGS)must be narrowed to target only clinically relevant genes. In this proof-of-concept study, we developed a panel to use in ultra-deep sequencing to identify such mutations in cfDNA

Development of a gene panel for next-generation sequencing of clinically relevant mutations in cell-free DNA from cancer patients

When tumour tissue is unavailable, cell-free DNA (cfDNA)can serve as a surrogate for genetic analyses. Because mutated alleles in cfDNA are usually below 1%, next-generation sequencing (NGS)must be narrowed to target only clinically relevant genes. In this proof-of-concept study, we developed a panel to use in ultra-deep sequencing to identify such mutations in cfDNA