Circulating regulatory T cells from breast cancer patients in response to neoadjuvant chemotherapy

Background: Immune escape of tumor cells is a new hallmark of cancer in general, and breast cancer, in particular. Previous studies have demonstrated that the immunological profile in peripheral blood may be a prognostic and/or predictive biomarker in breast cancer. Thus, higher number of regulatory T cells (Tregs) in blood from patients with breast cancer has been reported in relation to normal donors. In the present study, we planned to evaluate the changes in different cell populations in peripheral blood: neutrophils, monocytes and lymphocytes, as well as lymphocyte subpopulations [natural killer (NK), B lymphocytes, T lymphocytes, both CD4(+) and CD8(+), and Tregs] from patients with local breast cancer (both Her2(+) and Her2(-)), before, during and after neoadjuvant chemotherapy.Methods: We have employed flow cytometry for the cell analysis of fresh samples obtained before and whilst the neoadjuvant treatment was accomplished. We have studied 50 successive patients from the Breast Cancer Unit of the Virgen Macarena University Hospital during 2 years.Results: Neoadjuvant chemotherapy induced a significant reduction in B cells, especially in Her2(-) patients, and a reduction in NK cells. CD4(+) T cells decreased, whereas CD8(+) cells only decreased in Her2(-) patients. Tregs were also diminished, especially in Her2(+) patients, in response to treatment. Thus, higher CD8/Treg ratio was observed in Her2(+) patients. A higher percentage of Her2(+) patients (66.6%) achieved complete response than Her2(-) patients (27.5%). Monocytes and neutrophils were not changed in peripheral blood.Conclusions: Even though the decrease in B cells and NK cells in response to chemotherapy may be deleterious in the neoadjuvant treatment of breast cancer, the decrease in Tregs and CD4 T cells, but not CD8 T cells, increasing the CD8/Treg ratio, especially in Her2(+) patients, may reveal a new tool to monitor the immune response in breast cancer treated with chemotherapy in the neoadjuvant setting

Integrative Clinical, Molecular, and Computational Analysis Identify Novel Biomarkers and Differential Profiles of Anti-TNF Response in Rheumatoid Arthritis

Background: This prospective multicenter study developed an integrative clinical and molecular longitudinal study in Rheumatoid Arthritis (RA) patients to explore changes in serologic parameters following anti-TNF therapy (TNF inhibitors, TNFi) and built on machine-learning algorithms aimed at the prediction of TNFi response, based on clinical and molecular profiles of RA patients. Methods: A total of 104 RA patients from two independent cohorts undergoing TNFi and 29 healthy donors (HD) were enrolled for the discovery and validation of prediction biomarkers. Serum samples were obtained at baseline and 6 months after treatment, and therapeutic efficacy was evaluated. Serum inflammatory profile, oxidative stress markers and NETosis-derived bioproducts were quantified and miRNomes were recognized by next-generation sequencing. Then, clinical and molecular changes induced by TNFi were delineated. Clinical and molecular signatures predictors of clinical response were assessed with supervised machine learning methods, using regularized logistic regressions. Results: Altered inflammatory, oxidative and NETosis-derived biomolecules were found in RA patients vs. HD, closely interconnected and associated with specific miRNA profiles. This altered molecular profile allowed the unsupervised division of three clusters of RA patients, showing distinctive clinical phenotypes, further linked to the TNFi effectiveness. Moreover, TNFi treatment reversed the molecular alterations in parallel to the clinical outcome. Machine-learning algorithms in the discovery cohort identified both, clinical and molecular signatures as potential predictors of response to TNFi treatment with high accuracy, which was further increased when both features were integrated in a mixed model (AUC: 0.91). These results were confirmed in the validation cohort. Conclusions: Our overall data suggest that: 1. RA patients undergoing anti-TNF-therapy conform distinctive clusters based on altered molecular profiles, which are directly linked to their clinical status at baseline. 2. Clinical effectiveness of anti-TNF therapy was divergent among these molecular clusters and associated with a specific modulation of the inflammatory response, the reestablishment of the altered oxidative status, the reduction of NETosis, and the reversion of related altered miRNAs. 3. The integrative analysis of the clinical and molecular profiles using machine learning allows the identification of novel signatures as potential predictors of therapeutic response to TNFi therapy.This study was supported by grants from the Instituto de Salud Carlos III (PI18/00837), cofinanciado por el Fondo Europeo de Desarrollo Regional de la Unión Europea Una manera de hacer Europa, Spain, the Spanish Inflammatory and Rheumatic Diseases Network (RIER), Instituto de Salud Carlos III (RD16/0012/0015) and the Andalusian Regional Health System (ref. PI-0285-2017). CL-P was supported by a contract from the Spanish Junta de Andalucía (Nicolas Monardes program).Ye

Red “Universidad, género, docencia e igualdad”

La Red de investigación en docencia universitaria “Universidad, docencia, genero e igualdad” persigue avanzar en la calidad e innovación de las enseñanzas universitarias a partir de la inclusión de la perspectiva de género. Se busca dar cumplimiento a las directrices generales de los nuevos planes de estudio respecto del principio de igualdad de oportunidades entre hombres y mujeres en la formación universitaria (Real Decreto 1393/2007. BOE nº 260, 30 de octubre de 2007). En la séptima edición de la Red, y tomando como referentes la “Guía de recomendaciones para la inclusión de la perspectiva de género en la docencia universitaria: práctica (I)” y la “Guía de recomendaciones para la inclusión de la perspectiva de género en la docencia universitaria: claves conceptuales y teóricas (II)”, elaboradas por la propia Red en ediciones pasadas, el trabajo desarrollado se ha dirigido a introducir las recomendaciones recogidas en las referencias citadas (y disponibles en la colección en línea “apuntes para la igualdad”, de la Unidad de Igualdad de la Universidad de Alicante) en las guías docentes de las asignaturas recogidas en el proyecto de Redes presentado Asimismo, se ha continuado en el mantenimiento del “Portal web con recursos docentes con perspectiva de género”, proyecto financiado por el Instituto de la Mujer (PACUI, 2012)