Using real world data to advance the provision of supportive cancer care: mucositis as a case study.

PURPOSE OF REVIEW: For decades, clinical decision making and practice has been largely informed by data generated through randomized clinical trials (RCTs). By design, RCTs are highly restricted in both scope and scale, resulting in narrow indications and iterative advances in clinical practice. With the transition to electronic health records, there are now endless opportunities to utilize these 'real world' data (RWD) to make more substantive advances in our understanding that are, by nature, more applicable to reality. This review discusses the current paradigm of using big data to advance and inform the provision of supportive cancer care, using mucositis as a case study. RECENT FINDINGS: Global efforts to synthesize RWD in cancer have almost exclusively focused on tumor classification and treatment efficacy, leveraging on routine tumor pathology and binary response outcomes. In contrast, clinical notes and billing codes are not as applicable to treatment side effects which require integration of both clinical and biological data, as well as patient-reported outcomes. SUMMARY: Cancer treatment-induced toxicities are heterogeneous and complex, and as such, the use of RWD to better understand their etiology and interaction is challenging. Multidisciplinary cooperation and leadership are needed to improve data collection and governance to ensure the right data is accessible and reliable.

Strategies to mitigate the toxicity of cancer therapeutics.

Cancer therapeutics are dynamically evolving, and include traditional chemotherapy and hormone therapy, as well as more recently developed treatment modalities, such as tyrosine kinase inhibitors, monoclonal antibodies and the revolutionary approach based on immune checkpoint inhibition. These regimens are unfortunately not free of adverse events, and patients with cancer are a susceptible population experiencing a myriad of disease and treatment toxicities combined. In this review, we present the latest overview of the management of the most common systemic cancer treatment symptoms and the science of symptom management supporting these strategies. We discuss cancer-related cognitive impairment, ocular toxicity, ototoxicity, oral mucosal toxicities, gastrointestinal toxicities, renal toxicity, aromatase inhibitor-induced musculoskeletal symptoms, chemotherapy-induced peripheral neuropathy, and immunotherapy-induced autoimmunity derived from systemic therapies for cancer. In summary, we review the future directions and ideal goals of symptom science research in order to benefit patients utilizing a comprehensive individualized approach.