Prognostic communication about lung cancer in the precision oncology era: A multiple-perspective qualitative study.

BACKGROUND: Although most patients with cancer prefer to know their prognosis, prognostic communication between oncologists and patients is often insufficient. Targeted therapies for lung cancer improve survival yet are not curative and produce variable responses. This study sought to describe how oncologists communicate about prognosis with patients receiving targeted therapies for lung cancer. METHODS: This qualitative study included 39 patients with advanced lung cancer with targetable mutations, 14 caregivers, and 10 oncologists. Semistructured interviews with patients and caregivers and focus groups or interviews with oncologists were conducted to explore their experiences with prognostic communication. One oncology follow-up visit was audio-recorded per patient. A framework approach was used to analyze interview transcripts, and a content analysis of patient-oncologist dialogue was conducted. Themes were identified within each source and then integrated across sources to create a multidimensional description of prognostic communication. RESULTS: Six themes in prognostic communication were identified: Patients with targetable mutations develop a distinct identity in the lung cancer community that affects their information-seeking and self-advocacy; oncologists set high expectations for targeted therapy; the uncertain availability of new therapies complicates prognostic discussions; patients and caregivers have variable information preferences; patients raise questions about progression by asking about physical symptoms or scan results; and patients' expectations of targeted therapy influence their medical decision-making. CONCLUSIONS: Optimistic patient-oncologist communication shapes the expectations of patients receiving targeted therapy for lung cancer and affects their decision-making. Further research and clinical guidance are needed to help oncologists to communicate uncertain outcomes effectively.

Increasing Inclusiveness of Patient-Centric Clinical Evidence Generation in Oncology: Real-World Data and Clinical Trials.

Rapid advancements in cancer discovery, diagnosis, and treatment options available to patients with cancer have highlighted the need for enhancements in clinical trial design. The drug development process is costly, with more than 80% of trials failing to reach recruitment targets. Historical approaches to trial design are increasingly burdensome and lack real-world application in the intent-to-treat patient population. Equitable access to clinical trials combined with increased availability of real-world data are creating new opportunities for inclusiveness, improved outcomes, and evidence-based advances in therapies that will generate more generalizable data to better inform clinical decision-making. Clinical trials need to be inclusive if lifesaving data are not to be missed and investigational therapies are to be more accessible to a broader patient base. Real-world data can facilitate the conduct of studies that are identifying and understanding where disparities exist and developing new interventions to improve patient care. The clinical trial design process should be a multistakeholder and consensus- and evidence-driven process in which stakeholders are working together across the health care industry to close the care gap and ensure elimination of barriers that prevent equal access to specialized cancer care and advanced therapies available in clinical trials. The patient voice is essential throughout the trial process; however, it is often excluded from the design process. Integrating real-world data as well as ensuring patient involvement in early trial design during drug development can enhance enrollment and retention, leading to greater diversity.