Radiological and long-term clinical response to elexacaftor/tezacaftor/ivacaftor in people with cystic fibrosis with advanced lung disease

Introduction: A triple combination of CFTR modulators ELE/TEZ/IVA (elexacaftor/tezacaftor/ivacaftor, Trikafta™) has been evaluated in clinical trials for people with cystic fibrosis (pwCF) and was approved to the European and US market. During registration and settling reimbursement in Europe, it could be requested on a compassionate use basis, for patients with advanced lung disease (ppFEV1 < 40). Aim: The aim of this study is to evaluate 2 years of experience with the clinical and radiological response of ELE/TEZ/IVA in pwCF in a compassionate use setting. Methods: pwCF who started ELE/TEZ/IVA in a compassionate use setting were prospectively followed with assessment of spirometry, BMI, chest CT, CFQ-R and sweat chloride concentration (SCC) before start and after 3 months. Furthermore, spirometry, sputum cultures, and BMI were repeated after 1, 6, 12, 18, and 24 months. Results: Eighteen patients were eligible for this evaluation, nine with F508del/F508del genotype (eight of whom were using dual CFTR modulators) and nine with F508del/minimal function mutation. After 3 months, mean change in SCC was −44.9 (p ≤ 0.001), together with significant improvement in CT (change in Brody score: −28.27 p ≤ 0.001) and CFQ-R results (change in respiratory domain: +18.8, p = 0.002). After 24 months, ppFEV1 change was +8.89 (p = 0.002), BMI had improved by +1.53 kg/m2 (p ≤ 0.001) and exacerbation rate declined from 5.94 in 24 months before start to 1.17 (p ≤ 0.001) in the 24 months after. Conclusion: pwCF with advanced lung disease experience relevant clinical benefit after 2 years of treatment with ELE/TEZ/IVA in a compassionate use setting. Structural lung damage, quality of life, exacerbation rate, and BMI improved significantly with treatment. Gain in ppFEV1 is lower compared to the phase III trials that included younger patients with moderately affected lung function

Regulation of Proteasome Activity by (Post-)transcriptional Mechanisms

Intracellular protein synthesis, folding, and degradation are tightly controlled processes to ensure proper protein homeostasis. The proteasome is responsible for the degradation of the majority of intracellular proteins, which are often targeted for degradation via polyubiquitination. However, the degradation rate of proteins is also affected by the capacity of proteasomes to recognize and degrade these substrate proteins. This capacity is regulated by a variety of proteasome modulations including (1) changes in complex composition, (2) post-translational modifications, and (3) altered transcription of proteasomal subunits and activators. Various diseases are linked to proteasome modulation and altered proteasome function. A better understanding of these modulations may offer new perspectives for therapeutic intervention. Here we present an overview of these three proteasome modulating mechanisms to give better insight into the diversity of proteasomes

Improving shared decision-making about cancer treatment through design-based data-driven decision-support tools and redesigning care paths: an overview of the 4D PICTURE project

Background: Patients with cancer often have to make complex decisions about treatment, with the options varying in risk profiles and effects on survival and quality of life. Moreover, inefficient care paths make it hard for patients to participate in shared decision-making. Data-driven decision-support tools have the potential to empower patients, support personalized care, improve health outcomes and promote health equity. However, decision-support tools currently seldom consider quality of life or individual preferences, and their use in clinical practice remains limited, partly because they are not well integrated in patients’ care paths. Aim and objectives: The central aim of the 4D PICTURE project is to redesign patients’ care paths and develop and integrate evidence-based decision-support tools to improve decision-making processes in cancer care delivery. This article presents an overview of this international, interdisciplinary project. Design, methods and analysis: In co-creation with patients and other stakeholders, we will develop data-driven decision-support tools for patients with breast cancer, prostate cancer and melanoma. We will support treatment decisions by using large, high-quality datasets with state-of-the-art prognostic algorithms. We will further develop a conversation tool, the Metaphor Menu, using text mining combined with citizen science techniques and linguistics, incorporating large datasets of patient experiences, values and preferences. We will further develop a promising methodology, MetroMapping, to redesign care paths. We will evaluate MetroMapping and these integrated decision-support tools, and ensure their sustainability using the Nonadoption, Abandonment, Scale-Up, Spread, and Sustainability (NASSS) framework. We will explore the generalizability of MetroMapping and the decision-support tools for other types of cancer and across other EU member states. Ethics: Through an embedded ethics approach, we will address social and ethical issues. Discussion: Improved care paths integrating comprehensive decision-support tools have the potential to empower patients, their significant others and healthcare providers in decision-making and improve outcomes. This project will strengthen health care at the system level by improving its resilience and efficiency

Improving shared decision-making about cancer treatment through design-based data-driven decision-support tools and redesigning care paths : an overview of the 4D PICTURE project

Background:: Patients with cancer often have to make complex decisions about treatment, with the options varying in risk profiles and effects on survival and quality of life. Moreover, inefficient care paths make it hard for patients to participate in shared decision-making. Data-driven decision-support tools have the potential to empower patients, support personalized care, improve health outcomes and promote health equity. However, decision-support tools currently seldom consider quality of life or individual preferences, and their use in clinical practice remains limited, partly because they are not well integrated in patients’ care paths. Aim and objectives:: The central aim of the 4D PICTURE project is to redesign patients’ care paths and develop and integrate evidence-based decision-support tools to improve decision-making processes in cancer care delivery. This article presents an overview of this international, interdisciplinary project. Design, methods and analysis:: In co-creation with patients and other stakeholders, we will develop data-driven decision-support tools for patients with breast cancer, prostate cancer and melanoma. We will support treatment decisions by using large, high-quality datasets with state-of-the-art prognostic algorithms. We will further develop a conversation tool, the Metaphor Menu, using text mining combined with citizen science techniques and linguistics, incorporating large datasets of patient experiences, values and preferences. We will further develop a promising methodology, MetroMapping, to redesign care paths. We will evaluate MetroMapping and these integrated decision-support tools, and ensure their sustainability using the Nonadoption, Abandonment, Scale-Up, Spread, and Sustainability (NASSS) framework. We will explore the generalizability of MetroMapping and the decision-support tools for other types of cancer and across other EU member states. Ethics:: Through an embedded ethics approach, we will address social and ethical issues. Discussion:: Improved care paths integrating comprehensive decision-support tools have the potential to empower patients, their significant others and healthcare providers in decision-making and improve outcomes. This project will strengthen health care at the system level by improving its resilience and efficiency