Are changes in patient-reported outcomes prognostic for diffuse large B-Cell lymphoma survival? Results from the GOYA trial.

In this hypothesis-generating analysis, we examined whether longitudinal changes in patient-reported outcomes (PROs), such as symptoms, over time would be prognostic for progression-free survival (PFS) and overall survival (OS) in patients with diffuse large B-cell lymphoma (DLBCL) who were newly treated with obinutuzumab (G) in combination with CHOP (G-CHOP) or rituximab (R) with CHOP (R-CHOP), in the GOYA Phase 3 trial (NCT01287741). Our results show that from the study baseline to cycle 3 day 1, every 1-point increase (worsening) in fever symptoms was associated with a 41% higher risk of death (hazard ratio [HR], 1.41; P = 0.

Pralsetinib in Patients with Advanced/Metastatic Rearranged During Transfection (RET)-Altered Thyroid Cancer: Updated Efficacy and Safety Data from the ARROW Study.

Rearranged during transfection () alterations are targetable oncogenic drivers in thyroid cancer. Primary data from the open-label, phase 1/2 ARROW study demonstrated clinical activity and manageable safety with pralsetinib, a selective RET inhibitor, in patients with advanced/metastatic -altered thyroid cancer. We present an updated analysis with more patients and longer follow-up.

Perspectives on Patient-Reported Outcome Data After Treatment Discontinuation in Cancer Clinical Trials.

Objectives: Patient-reported outcome (PRO) data are critical in understanding treatments from the patient perspective in cancer clinical trials. The potential benefits and methodological approaches to the collection of PRO data after treatment discontinuation (eg, because of progressive disease or unacceptable drug toxicity) are less clear. The purpose of this article is to describe the Food and Drug Administration's Oncology Center of Excellence and the Critical Path Institute cosponsored 2-hour virtual roundtable, held in 2020, to discuss this specific issue.

Psychometrics of patient-reported bother from side effects of treatment single-items in industry-sponsored oncology trials.

Background: Improvements in cancer treatment have increased the number of cancer survivors, but also increased the long-term and late effects from cancer therapy. Patient reported "side effect bother" could be used to measure the burden of treatment, and the risk for negative outcomes such as dose reduction, treatment delay or discontinuation. The current study addresses the psychometric properties of a single item, determines what represents a "meaningful change", and evaluates the correlation to safety endpoints and functioning.