How to Handle the Bioethical Dilemmas?-A Scoping Review With Paradigmatic Cases-Based Analysis

Copyright © 2020 Alpuim Costa, Nobre, de Almeida, Ferreira, Gonçalves, Braga and Pais.Ethical issues that arise during the care of a pregnant woman with cancer are challenging to physicians, policymakers, lawyers, and the bioethics community. The main purpose of this scoping review is to summarize existing literature regarding the bioethical dilemmas when a conflict arises in the maternal-fetus dyad, like the one related to cancer and pregnancy outcomes. Moreover, we illustrate the decision-making process of real-life case reports. Published data were searched through the PubMed and Google Scholar databases, as well as in grey literature, using appropriate controlled keywords in English and Portuguese. After identification, screening, eligibility and data extraction from the articles, a total of 50 was selected. There are several established ethical frameworks for conflict resolution and decision-making. Pragmatic theoretical approaches include case-based analysis, the ethics of care, feminist theory, and traditional ethical principlism that scrutinizes the framework of autonomy, justice, beneficence, and non-maleficence. In addition, society and practitioner values could mediate this complex ethical interplay. The physician must balance autonomy and beneficence-based obligations to the pregnant woman with cancer, along with beneficence-based obligations to the fetus. Ethical challenges have received less attention in the literature, particularly before the third trimester of pregnancy. Best, unbiased and balanced information must be granted both to the patient and to the family, regarding the benefits and harms for the woman herself as well as for the fetal outcome. Based on a previously validated method for analyzing and working up clinical ethical problems, we suggest an adaptation of an algorithm for biomedical decision-making in cancer during pregnancy, including recommendations that can facilitate counseling and help reduce the suffering of the patient and her family.publishersversionpublishe

A Cross-Sectional Survey-Based Study of Medical Oncologists

Funding Information: We would like to thank Andrea Bothwell who wrote the manuscript outline and first draft on behalf of Springer Healthcare Communications. We also thank Prof. Carina Silva (ESTEsL – Escola Superior de Tecnologias de Saúde de Lisboa) who performed the preliminary statistical analysis of this study. This medical writing assistance and statistical analysis was funded by CUF Oncologia. Funding Information: Diogo Alpuim Costa has received honoraria from the Portuguese Navy, CUF Oncologia, and NTT DATA, and has served as a speaker, advisory board member, or has received research or education funding from CUF Oncologia, AstraZeneca, Hoffmann-La Roche, Merck KGaA, Novartis, Pfizer, Uriage, Daiichi Sankyo, Gilead, Merck Sharp & Dohme, Nanobiotix, Puma Biotechnology Inc., Sanofi, and Seagen Inc. Margarida Brito has participated as advisory board member for Roche, Novartis, Merck Sharp & Dohme, and Pfizer. Mário Fontes-Sousa has served as a speaker or advisory board member for Bristol Myers Squibb, Daiichi Sankyo, Gilead, Lilly, Merck Sharp & Dohme, Novartis, Pfizer, Roche, and Servier. Diogo Martins-Branco received honoraria and advisory board fees from Janssen, Pfizer, Merck Sharp & Dohme, Angelini, AstraZeneca, and Novartis, meeting and travel grants from LEO Farmacêuticos, Merck Sharp & Dohme, Ipsen, Janssen, and Roche, and institutional grants from F. Hoffmann-La Roche Ltd. José Guilherme Gonçalves Nobre, João Paulo Fernandes, Marta Vaz Batista, Ana Simas, Carolina Sales, Helena Gouveia, Leonor Abreu Ribeiro, Andreia Coelho, Mariana Inácio, André Cruz, Mónica Mariano, Joana Savva-Bordalo, Ricardo Fernandes, André Oliveira, Andreia Chaves, Mafalda Sampaio-Alves, and Noémia Afonso have nothing to declare. Publisher Copyright: © 2022, The Author(s).Introduction: Cancer care providers have faced many challenges in delivering safe care for patients during the COVID-19 pandemic. This cross-sectional survey-based study investigated the impact of the pandemic on clinical practices of Portuguese medical oncologists caring for patients with breast cancer. Methods: An anonymous online survey comprising 42 questions gathered information regarding COVID-19 testing, treatment in (neo)adjuvant and metastatic settings, and other aspects of breast cancer management. Practices before and during the pandemic were compared, and potential differences in outcomes according to respondents’ regions, case volumes, and practice type were explored. Results: Of 129 respondents, 108 worked in the public health system, giving a representative national picture of the impact of the COVID-19 pandemic on breast cancer management. Seventy-one percent of respondents reported a reduction in visits for new cases of breast cancer, and there was a shift towards increased use of telemedicine. Clinical decision-making was largely unaffected in the most aggressive indications (i.e., triple-negative, HER2-positive, visceral crisis). The use of neoadjuvant therapy increased when access to surgery was difficult, whereas dose-dense regimens decreased, and cyclin-dependent kinase 4/6 inhibitor treatment decreased for less aggressive disease and increased for more aggressive disease. The use of oral formulations and metronomic chemotherapy regimens increased, and clinical trial participation decreased. Some differences by respondents’ region and case volume were noted. Conclusion: Medical oncologists in Portugal implemented many changes during the COVID-19 pandemic, most of which were logical and reasonable responses to the current healthcare emergency; however, the true impact on patient outcomes remains unknown.publishersversionepub_ahead_of_prin

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

The interplay between HPV, other STI and genital microbiome on the development of cervical cancer

Trabalho Final do Curso de Mestrado Integrado em Medicina, Faculdade de Medicina, Universidade de Lisboa, 2022Introdução: A importância da Microbiota Cervicovaginal na proteção de infeções (como o HPV) encontra-se bem estabelecida, nomeadamente através dos Lactobacillus spp., tal como o mecanismo através do qual o HPV conduz à Neoplasia Cervical. Contudo, não é possível classificar o HPV como um carcinogéneo completo. Desta forma, a importância de explorar a disbiose da MCV com a intenção de decifrar esta interação com o HPV, toma maior relevância. Objectivos: 1) Comparação da composição do MCV de mulheres com e sem HPV e de mulheres com ASCUS e LSIL; 2) Caraterização das citocinas presentes no microambiente vaginal; 3) Avaliação dos índices do hemograma como biomarcadores de prognóstico; 4) Correlação entre MCV, genótipos de HPV e citocinas. Metodologia: Trata-se de um estudo retrospetivo, observacional, multicêntrico e transversal. A análise da MCV realizou-se através do isolamento do ARN bacteriano 16s, e análise numa plataforma de NGS. As concentrações citocinas da MCV foram obtidas através de plataforma Multiplex. A análise estatística foi realizada em SPSS v 26.0. Um α de 0,05 foi considerado estatisticamente significativo. Resultados: Realçando o cerne do estudo, verificou-se que MCV do tipo CST III e CST IV influenciam o surgimento de lesões cervicais. Observou-se que o INL impacta o prognóstico de ASCUS. Dentro da MCV, os Lactobacillus impedem o crescimento de espécies do CST IV, enquanto as últimas expressam relações simbióticas entre si e apresentam afinidade com genótipos específicos de HPV. Por fim, a RANTES eleva-se significativamente perante infeções cervicovaginais. Conclusão: A importância da utilização do perfil de citocinas e da MCV é realçada na hipótese de prevenção do desenvolvimento de NC tal como na sua utilização como biomarcador de prognóstico. Estes conhecimentos permitem dar mais um passo na direção da medicina personalizada.Background: The importance of Cervicovaginal Microbiota in protecting against infections (such as HPV) is already well established, namely through Lactobacillus spp., as well as the mechanism through which HPV leads to Cervical Neoplasia. However, it is not possible to classify HPV as a complete carcinogen. Thus, the importance of exploring MCV dysbiosis with the intention of deciphering this interaction with HPV, takes on greater relevance. Objectives: 1) Comparison of the MCV composition of women with or without HPV and women with ASCUS or LSIL; 2) Characterization of cytokines present in the vaginal microenvironment; 3) Evaluation of the blood count ratios as prognostic biomarkers; 4) Correlation between MCV, HPV serotypes and cytokines. Methodology: This was a retrospective, observational, multicenter, cross-sectional study. CVM analysis was performed by isolation of bacterial 16s RNA and analysis on a NGS platform. Cytokine concentrations of CVM were obtained through Multiplex platform. Statistical analysis was performed in SPSS v 26.0. An α of 0.05 was considered statistically significant. Results: Highlighting the core of the study, CVM types of CST III and CST IV were found to influence the emergence of cervical lesions. NLR was found to impact the prognosis of ASCUS. Within CVM, Lactobacillus prevent the growth of CST IV species, while the latter express symbiotic relationships with each other and show affinity for specific HPV serotypes. On the other hand, RANTES is significantly elevated in cervicovaginal infections. Conclusion: The importance of using cytokine profiles and CVM is highlighted in the hypothesis of prevention of NC development, as well as in its use as a prognostic biomarker. Taken together, these insights are one step closer to personalized medicine