Screening for psychological distress in patients with cancer is currently being debated in the British Journal of Cancer. Screening has been recommended, as elevated levels of distress have been consistently observed and clinicians tend to overlook the need of psychological support (Carlson et al, 2012; Carlson et al, 2013; National Comprehensive Cancer Network, 2013). On the other hand, it has been argued that screening should not be implemented, as the true benefit of screening and subsequent treatment of psychological distress is far from being definitively proven (Coyne, 2013). Recent findings on human resilience in the face of potentially traumatic events (PTEs) provide a new perspective on detecting and treating psychological distress in patients with cancer. Humans show strong resilience in the face of potentially traumatic events, such as cancer diagnosis and treatment (Bonanno et al, 2011). This observation leads us to propose two alternative approaches towards detecting and treating psychological distress in patients with cancer: ‘screening for psychological distress’ and ‘supporting resilience and case finding’.
The aim of the research reported in this thesis was to gain knowledge about the implementation of evidence‐based practice (EBP) in nursing to find a way to integrate shared decision making (SDM) with EBP in a chronic care environment in nursing, and to develop a strategy for an integrated approach of EBP and SDM in daily nursing practice in the individual aftercare for cancer survivors.
Introduction: The implementation of oncology care pathways that standardize organizational procedures has improved cancer care in recent years. However, the involvement of “authentic” patients and caregivers in quality improvement of these predetermined pathways is in its infancy, especially the scholarly reflection on this process. We, therefore, aim to explore the multidisciplinary challenges both in practice, when cancer patients, their caregivers, and a multidisciplinary team of professionals work together on quality improvement, as well as in our research team, in which a social scientist, health care professionals, health care researchers, and experience experts design a research project together. Methods and design: Experience-based co-design will be used to involve cancer patients and their caregivers in a qualitative research design. In-depth open discovery interviews with 12 colorectal cancer patients, 12 breast cancer patients, and seven patients with cancer-associated thrombosis and their caregivers, and focus group discussions with professionals from various disciplines will be conducted. During the subsequent prioritization events and various co-design quality improvement meetings, observational field notes will be made on the multidisciplinary challenges these participants face in the process of co-design, and evaluation interviews will be done afterwards. Similar data will be collected during the monthly meetings of our multidisciplinary research team. The data will be analyzed according to the constant comparative method. Discussion: This study may facilitate quality improvement programs in oncologic care pathways, by increasing our real-world knowledge about the challenges of involving “experience experts” together with a team of multidisciplinary professionals in the implementation process of quality improvement. Such co-creation might be challenging due to the traditional paternalistic relationship, actual disease-/treatment-related constraints, and a lack of shared language and culture between patients, caregivers, and professionals and between professionals from various disciplines. These challenges have to be met in order to establish equality, respect, team spirit, and eventual meaningful participation.
Every year in the Netherlands around 10.000 people are diagnosed with non-small cell lung cancer, commonly at advanced stages. In 1 to 2% of patients, a chromosomal translocation of the ROS1 gene drives oncogenesis. Since a few years, ROS1+ cancer can be treated effectively by targeted therapy with the tyrosine kinase inhibitor (TKI) crizotinib, which binds to the ROS1 protein, impairs the kinase activity and thereby inhibits tumor growth. Despite the successful treatment with crizotinib, most patients eventually show disease progression due to development of resistance. The available TKI-drugs for ROS1+ lung cancer make it possible to sequentially change medication as the disease progresses, but this is largely a ‘trial and error’ approach. Patients and their doctors ask for better prediction which TKI will work best after resistance occurs. The ROS1 patient foundation ‘Stichting Merels Wereld’ raises awareness and brings researchers together to close the knowledge gap on ROS1-driven oncogenesis and increase the options for treatment. As ROS1+ lung cancer is rare, research into resistance mechanisms and the availability of cell line models are limited. Medical Life Sciences & Diagnostics can help to improve treatment by developing new models which mimic the situation in resistant tumor cells. In the current proposal we will develop novel TKI-resistant cell lines that allow screening for improved personalized treatment with TKIs. Knowledge of specific mutations occurring after resistance will help to predict more accurately what the next step in patient treatment could be. This project is part of a long-term collaboration between the ROS1 patient foundation ‘Stichting Merels Wereld’, the departments of Pulmonary Oncology and Pathology of the UMCG and the Institute for Life Science & Technology of the Hanzehogeschool. The company Vivomicx will join our consortium, adding expertise on drug screening in complex cell systems.
How does a specific lung cancer become resistant towards medication.The occurrence of a chromosomal translocation resulting in a ROS1 gene fusion in lung cancer is relatively rare with around 1-2% of all cases. Both Dutch (Stichting Merels Wereld) and world-wide (ROS1ders) patient advocacy groups work hard to raise awareness and bring researchers together to close the knowledge gap on ROS1 driven oncogenesis and increase the optionsfor treatment. A notorious hurdle is to achieve durable responses due to development of resistance.Ongoing mutations occurring in tumour cells lead to a heterogeneous genomic landscape and will result in outgrowth of the fastest growing tumour cell population resistant to the applied drug. The currently known resistance mechanisms can be divided in on-target (i.e. mutations in the kinasedomain of ROS1) and off-target (providing ROS1 independent growth support) mechanisms. The currently available drugs target the ROS1-fusion gene positive lung cancer cells. In addition, some of the drugs also target cancer cells with specific ROS1 resistance mutations allowing effective sequentialtreatment upon disease progression. Selection of the most optimal treatment is largely a ‘trial and error’ approach. Patients and their doctors ask for better prediction of the most effective follow-up treatment upon development of resistance. Medical Life Science & Diagnostics can help to improvetreatment by developing cell culture models which mimic the situation in resistant tumour cells.Understanding the impact of specific mutations on disease behaviour will aid in the development of patient-tailored therapeutic approaches, ultimately improving patient outcomes.
