Median time to tumor progression was 9.9 months for schedule 4/2 and 7.1 months for the CDD schedule (hazard ratio, 0.77; 95% CI, 0.57 to 1.04; P = .090). No significant difference was observed in overall survival (23.1 v 23.5 months; P = .615), commonly reported adverse events, or patient-reported kidney cancer symptoms. Schedule 4/2 was statistically superior to CDD in time to deterioration, a composite end point of death, progression, and disease-related symptoms (P = .034). CONCLUSION; There was no benefit in efficacy or safety for continuous dosing of sunitinib compared with the approved 50 mg/d dose on schedule 4/2. Given the numerically longer time to tumor progression with the approved 50 mg/d dose on schedule 4/2, adherence to this dose and schedule remains the treatment goal for patients with advanced RCC.

Introduction: CheckMate 153 (NCT02066636) is a phase 3B/4 study assessing nivolumab in previously treated patients with advanced NSCLC. Eligibility criteria allowed enrollment of patients with poor prognostic features of advanced age or diminished Eastern Cooperative Oncology Group performance status (ECOG PS), which are typically underrepresented in or excluded from randomized controlled trials. Methods: Patients with stage IIIB or IV NSCLC and an ECOG PS of 0 to 2 with disease progression after at least one systemic therapy received nivolumab (3 mg/kg every 2 weeks) until progression, unacceptable toxicity, or consent withdrawal. The primary end point was the incidence of grade 3 to 5 select treatment-related adverse events (TRAEs). Results: Among 1426 treated patients, 556 (39%) were aged 70 years or older and 128 (9%) had an ECOG PS of 2. The median treatment duration was 3.2 months. Across subgroups and the overall population, the incidences of select grade 3 to 5 TRAEs (6%-9%) and grade 3 or 4 TRAEs (12%-14%) were similar. One grade 5 TRAE was documented. The median overall survival time was comparable in the overall population (9.1 months) and patients aged 70 years or older (10.3 months) but shorter in patients with an ECOG PS of 2 (4.0 months). Patient-reported outcomes generally improved. Conclusions: Data from this large predominantly community-based study, which included patients aged 70 years or older and with an ECOG PS of 2, are consistent with registrational studies. As expected, the median overall survival for patients with an ECOG PS of 2 was lower than for the overall population but comparable with historical data.

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Purpose: To assess the association of tumor mutational burden (TMB) with clinical outcomes, other biomarkers and patient/disease characteristics in patients receiving therapy for lung cancer. Results: In total, 4,303 publications were identified; 81 publications were included. The majority of publications assessing clinical efficacy of immunotherapy reported an association with high TMB, particularly when assessing progression-free survival and objective response rate. High TMB was consistently associated with TP53 alterations, and negatively associated with EGFR mutations. High TMB was also associated with smoking, squamous cell non-small cell lung carcinoma, and being male. Methods: A systematic literature review based upon an a priori protocol was conducted following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and Cochrane methodologies. Searches were conducted in EMBASE, SCOPUS, Ovid MEDLINE®, and Emcare (from January 2012 until April 2018) and in two clinical trial registries. Conference abstracts were identified in EMBASE, and in targeted searches of recent major conference proceedings (from January 2016 until April 2018). Publications reporting data in patients receiving therapy for lung cancer that reported TMB and its association with clinical efficacy, or with other biomarkers or patient/disease characteristics, were included. Results are presented descriptively. Conclusion: This systematic literature review identified several clinical outcomes, biomarkers, and patient/disease characteristics associated with high TMB, and highlights the need for standardized definitions and testing practices. Further studies using standardized methodology are required to inform treatment decisions.

Sunitinib 37.5 mg per day (schedule 4/2) plus FOLFIRI is not superior to FOLFIRI alone and has a poorer safety profile. This combination regimen is not recommended for previously untreated mCRC.

We compared real-world data from US patients who received second-line (2L) therapy for nonesmall-cell lung cancer before ("historical") and after ("current") US Food and Drug Administration approval of programmed death ligand 1 (PD-L1) inhibitors. A greater proportion of patients received 2L therapy in the current compared with the historical setting; approximately half of current patients received 2L PD-L1 inhibitors. Survival was improved by 15% in the current setting. Background: The real-world effect of anti-programmed death ligand 1 (PD-L1) therapies is unclear. We compared US patients who received second-line therapy for nonesmall-cell lung cancer (NSCLC) before and shortly after US Food and Drug Administration (FDA) approval of PD-L1 inhibitors. Patients and Methods: Patients in the Flatiron Health database (18 years; received first-line platinum therapy for advanced/metastatic NSCLC; 6 months of follow-up) were assessed before ("historical":

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Trials of new oncology treatments often involve a crossover element in their design that allows patients receiving the control treatment to crossover to receive the experimental treatment at disease progression or when sufficient evidence about the efficacy of the new treatment is achieved. Crossover leads to contamination of the initial randomized groups due to a mixing of the effects of the control and experimental treatments in the reference group. This is further complicated by the fact that crossover is often a very selective process whereby patients who switch treatment have a different prognosis than those who do not. Standard statistical techniques, including those that attempt to account for the treatment switch, cannot fully adjust for the bias introduced by crossover. Specialized methods such as rank-preserving structural failure time (RPSFT) models and inverse probability of censoring weighted (IPCW) analyses are designed to deal with selective treatment switching and have been increasingly applied to adjust for crossover. We provide an overview of the crossover problem and highlight circumstances under which it is likely to cause bias. We then describe the RPSFT and IPCW methods and explain how these methods adjust for the bias, highlighting the assumptions invoked in the process. Our aim is to facilitate understanding of these complex methods using a case study to support explanations. We also discuss the implications of crossover adjustment on cost-effectiveness results.