ABSTRACT
The oncology field continues its remarkable evolution over the years, with promising advances leading to innovative and individualized treatments. The development of new molecules, the identification of new therapeutic targets and the search for new sequences or combinations promise to revolutionize cancer treatments and contribute to improving survival rates, patients' quality of life and to open new perspective in oncology research. In this article, the newest data released in 2023 are reviewed.
Le domaine de l'oncologie poursuit son évolution remarquable au fil des années, avec des avancées prometteuses ouvrant la voie à des traitements novateurs et individualisés. L'élaboration de nouvelles molécules, l'identification de nouvelles cibles thérapeutiques et la recherche de nouvelles séquences ou combinaisons de traitements promettent de révolutionner la prise en charge du cancer et de contribuer à améliorer les taux de survie, la qualité de vie des patients et à ouvrir de nouvelles perspectives dans la recherche en oncologie. Dans cet article, les nouveautés parues en 2023 sont passées en revue.
Subject(s)
Medical Oncology , Quality of Life , HumansABSTRACT
During the acute phase of the COVID-19 pandemic, hospitals faced a challenge to manage patients, especially those with other comorbidities and medical needs, such as cancer patients. Here, we use Process Mining to analyze real-world therapeutic pathways in a cohort of 1182 cancer patients of the Lausanne University Hospital following COVID-19 infection. The algorithm builds trees representing sequences of coarse-grained events such as Home, Hospitalization, Intensive Care and Death. The same trees can also show probability of death or time-to-event statistics in each node. We introduce a new tool, called Differential Process Mining, which enables comparison of two patient strata in each node of the tree, in terms of hits and death rate, together with a statistical significance test. We thus compare management of COVID-19 patients with an active cancer in the first vs. second COVID-19 waves to quantify hospital adaptation to the pandemic. We also compare patients having undergone systemic therapy within 1 year to the rest of the cohort to understand the impact of an active cancer and/or its treatment on COVID-19 outcome. This study demonstrates the value of Process Mining to analyze complex event-based real-world data and generate hypotheses on hospital resource management or on clinical patient care.
ABSTRACT
Compared with the general population, oncology patients face a higher morbidity and mortality caused by the COVID-19 pandemic. As a result, health systems had to quickly adapt cancer care in order to maintain the best quality and patient safety. From March to May and from October to December 2020, 254 patients diagnosed with cancer and tested positive for SARS-CoV-2 benefited from a tele-health monitoring at the Oncology Department at CHUV. This article describes the key points of the development, implementation and operation of this tele-health monitoring, enabled by an interdisciplinary and inter-professional collaboration between different units and healthcare professionals.
En comparaison de la population générale, les patients oncologiques font face à une augmentation de leur morbimortalité en lien avec la pandémie de Covid-19. Par conséquent, les systèmes de santé ont dû s'adapter rapidement dans ce contexte instable afin de poursuivre des soins de qualité tout en assurant la sécurité des patients. De mars à mai ainsi que d'octobre à décembre 2020, un total de 254 patients oncologiques testés positifs au SARS-CoV-2 ont bénéficié d'un suivi téléphonique au Département d'oncologie du CHUV. Cet article décrit les points clés de l'implantation et du fonctionnement de ce télésuivi, grâce à la collaboration entre différentes unités et une équipe interprofessionnelle.
Subject(s)
COVID-19 , SARS-CoV-2 , Follow-Up Studies , Humans , Pandemics , TelephoneABSTRACT
Multifocal micronodular pneumocyte hyperplasia (MMPH) is a benign proliferation of alveolar type II cells presenting as multiple pulmonary nodules at chest imaging, which is frequently seen in patients with tuberous sclerosis complex (TSC). We report a case of a woman with TSC and MMPH who received everolimus, a mechanistic target of rapamycin (mTOR) inhibitor, for the treatment of a subependymal giant cell astrocytoma (SEGA). After 3 months of therapy, a remarkable decrease in density of all pulmonary MMPH lesions was observed, without any change in size. This shows that everolimus is active on MMPH similarly to its effects on SEGA, renal angiomyolipomas, and pulmonary lymphangioleiomyomatosis in TSC, and suggests that the dysregulated activation of mTOR which characterizes TSC also plays a role in the pathogenesis of MMPH.
