IMPORTANCEThe spectrum of individual immune-related adverse events (irAEs) from anti-programmed cell death 1 (PD-1) and programmed cell death ligand 1 (PD-L1) immune checkpoint inhibitors (ICIs) has been reported widely, and their development is associated with improved patient survival across tumor types. The spectrum and impact on survival for patients with non-small cell lung cancer (NSCLC) who develop multisystem irAEs from ICIs, has not been described. OBJECTIVE To characterize multisystem irAEs, their association with survival, and risk factors for multisystem irAE development. DESIGN, SETTING, AND PARTICIPANTSThis retrospective cohort study carried out in 5 academic institutions worldwide included 623 patients with stage III/IV NSCLC, treated with anti-PD-(L)1 ICIs alone or in combination with another anticancer agent between January 2007 and January 2019. EXPOSURES Anti-PD-(L)1 monotherapy or combinations.MAIN OUTCOMES AND MEASURES Multisystem irAEs were characterized by combinations of individual irAEs or organ system involved, separated by ICI-monotherapy or combinations. Median progression-free (PFS) and overall survival (OS) were estimated using the Kaplan-Meier method. Differences in PFS and OS between irAE groups were assessed by multivariable models. Risk for multisystem irAE was estimated as odds ratios by multivariable logistic regression. RESULTSThe 623 patients included in the study were mostly men (60%, n = 375) and White (77%, n = 480). The median (range) age was 66 (58-73) years, and 148 patients (24%) developed a single irAE, whereas 58 (9.3%) developed multisystem irAEs. The most common multisystem irAE patterns in patients receiving anti-PD-(L)1 monotherapy were pneumonitis thyroiditis (n = 7, 14%), hepatitis thyroiditis (n = 5, 10%), dermatitis pneumonitis (n = 5, 10%), and dermatitis thyroiditis (n = 4, 8%). Favorable Eastern Cooperative Oncology Group (ECOG) performance status (PS) (ECOG PS = 0/1 vs 2; adjusted odds ratio [aOR], 0.27; 95% CI, 0.08-0.94; P = .04) and longer ICI duration (aOR, 1.02; 95% CI, 1.01-1.03; P < .001) were independent risk factors for development of multisystem irAEs. Patients with 1 irAE and multisystem irAEs demonstrated incrementally improved OS (adjusted hazard ratios [aHRs], 0.86; 95% CI, 0.66-1.12; P = .26; and aHR, 0.57; 95% CI, 0.38-0.85; P = . 005, respectively) and PFS (aHR, 0.68; 95% CI, 0.55-0.85; P = .001; and aHR, 0.39; 95% CI, 0.28-0.55; P < .001, respectively) vs patients with no irAEs, in multivariable models adjusting for ICI duration. CONCLUSIONS AND RELEVANCEIn this multicenter cohort study, development of multisystem irAEs was associated with improved survival in patients with advanced NSCLC treated with ICIs.

The nuclear factor-kappaB (NF-kappaB) family is comprised of DNA-binding protein factors that are required for the transcription of most proinflammatory molecules, including adhesion molecules, enzymes, cytokines, and chemokines. Studies performed in a variety of cell and animal based experimental systems suggest that NF-kappaB activation is a key event early in the pathobiology of diabetes. The purpose of this review is to summarize the current knowledge about the molecular biology of NF-kappaB and to review evidence that implicates NF-kappaB in the pathogenesis of diabetes and its associated complications.

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Background: The microbiome has been shown to affect the response to Immune Checkpoint Inhibitors (ICIs) in a small number of cancers and in preclinical models. Here, we sought to broadly survey cancers to identify those in which the microbiome may play a prognostic role using retrospective analyses of patients with advanced cancer treated with ICIs. Methods: We conducted a retrospective analysis of 690 patients who received ICI therapy for advanced cancer. We used a literature review to define a causal model for the relationship between medications, the microbiome, and ICI response to guide the abstraction of electronic health records. Medications with precedent for changes to the microbiome included antibiotics, corticosteroids, proton pump inhibitors, histamine receptor blockers, non-steroid anti-inflammatories and statins. We tested the effect of medication timing on overall survival (OS) and evaluated the robustness of medication effects in each cancer. Finally, we compared the size of the effect observed for different classes of antibiotics to taxa that have been correlated to ICI response using a literature review of culturebased antibiotic susceptibilities.