Type 2 Diabetes Mellitus and Efficacy Outcomes from Immune Checkpoint Blockade in Patients with Cancer.

PURPOSE: No evidence exists as to whether type 2 diabetes mellitus (T2DM) impairs clinical outcome from immune checkpoint inhibitors (ICI) in patients with solid tumors. EXPERIMENTAL DESIGN: In a large cohort of ICI recipients treated at 21 institutions from June 2014 to June 2020, we studied whether patients on glucose-lowering medications (GLM) for T2DM had shorter overall survival (OS) and progression-free survival (PFS). We used targeted transcriptomics in a subset of patients to explore differences in the tumor microenvironment (TME) of patients with or without diabetes. RESULTS: A total of 1,395 patients were included. Primary tumors included non-small cell lung cancer (NSCLC; 54.7%), melanoma (24.7%), renal cell (15.0%), and other carcinomas (5.6%). After multivariable analysis, patients on GLM (n = 226, 16.2%) displayed an increased risk of death [HR, 1.29; 95% confidence interval (CI),1.07-1.56] and disease progression/death (HR, 1.21; 95% CI, 1.03-1.43) independent of number of GLM received. We matched 92 metformin-exposed patients with 363 controls and 78 patients on other oral GLM or insulin with 299 control patients. Exposure to metformin, but not other GLM, was associated with an increased risk of death (HR, 1.53; 95% CI, 1.16-2.03) and disease progression/death (HR, 1.34; 95% CI, 1.04-1.72). Patients with T2DM with higher pretreatment glycemia had higher neutrophil-to-lymphocyte ratio (P = 0.04), while exploratory tumoral transcriptomic profiling in a subset of patients (n = 22) revealed differential regulation of innate and adaptive immune pathways in patients with T2DM. CONCLUSIONS: In this study, patients on GLM experienced worse outcomes from immunotherapy, independent of baseline features. Prospective studies are warranted to clarify the relative impact of metformin over a preexisting diagnosis of T2DM in influencing poorer outcomes in this population.

Health-related quality of life in cancer patients treated with immune checkpoint inhibitors in randomised controlled trials: A systematic review and meta-analysis.

BACKGROUND: Immune checkpoint inhibitors (ICIs) have revolutionised clinical practice in oncology in the last years, leading to a survival benefit in several tumour types. To investigate whether these benefits are associated with improved quality of life, we conducted a systematic review and meta-analysis comparing patient-reported outcomes (PROs) between ICIs and standard chemotherapy (CT) in patients with advanced solid tumours. METHODS: Clinical trials comparing the efficacy of ICIs (either programmed death receptor-1 and programmed death-ligand 1 inhibitors or cytotoxic T-lymphocyte antigen 4 inhibitors, as single agent or in combination) versus CT were included. Trials evaluating treatment with ICIs plus CT versus CT alone were also included, whereas studies in which the control arm included other anticancer agents (such as targeted therapy and other ICIs) or placebo alone were excluded. The aim of our meta-analysis was to compare PROs in subjects treated with ICIs or ICIs plus CT (intervention) with those reported by patients receiving CT (control). The co-primary endpoints were time from baseline to first deterioration in PROs, defined as the time from baseline to the first clinically significant deterioration in PROs, and the changes in PROs from baseline to follow-up between ICI and CT treatment groups (PROSPERO registration number CRD42021247440). RESULTS: A total of 8341 patients from 17 randomised trials of ICI versus CT were included in the analysis. Treatment with ICI delayed clinical deterioration over standard CT in Global Health Status/QoL EORTC QLQ-C30 (hazard ratio [HR] 0.81; 95% confidence interval [CI], 0.74-0.89), and in both EQ-5D utility index (HR 0.65; 95% CI, 0.52-0.82) and EQ-5D visual analogue scale (VAS; HR 0.70; 95% CI, 0.61-0.80). The difference in mean change between the ICI-treated group and the CT-treated group was 5.82 (95% CI, 4.11-7.53) in favour of ICI. Similarly, in the EQ-5D, the mean change differences favoured treatment with ICIs in both Utility Index and VAS, with differences of 0.05 (95% CI, 0.03-0.07) and 5.41 (95% CI, 3.39-7.43), respectively. CONCLUSIONS: ICIs are associated with higher levels of quality of life and longer time to clinical deterioration on several PROs scales compared with CT in different types of solid tumours.

PD-1/PD-L1 checkpoint inhibitors during late stages of life: an ad-hoc analysis from a large multicenter cohort.

BACKGROUND: The favourable safety profile and the increasing confidence with immune checkpoint inhibitors (ICIs) might have boosted their prescription in frail patients with short life expectancies, who usually are not treated with standard chemotherapy. METHODS: The present analysis aims to describe clinicians' attitudes towards ICIs administration during late stages of life within a multicenter cohort of advanced cancer patients treated with single agent PD-1/PD-L1 checkpoint inhibitors in Italy. RESULTS: Overall, 1149 patients with advanced cancer who received single agent PD-1/PD-L1 checkpoint inhibitors were screened. The final study population consisted of 567 deceased patients. 166 patients (29.3%) had received ICIs within 30 days of death; among them there was a significantly higher proportion of patients with ECOG-PS ≥ 2 (28.3% vs 11.5%, p < 0.0001) and with a higher burden of disease (69.3% vs 59.4%, p = 0.0266). In total, 35 patients (6.2%) started ICIs within 30 days of death; among them there was a higher proportion of patients with ECOG-PS ≥ 2 (45.7% vs 14.5%, p < 0.0001) and with a higher burden of disease (82.9% vs 60.9%, p = 0.0266). Primary tumors were significantly different across subgroups (p = 0.0172), with a higher prevalence of NSCLC patients (80% vs 60.9%) among those who started ICIs within 30 days of death. Lastly, 123 patients (21.7%) started ICIs within 3 months of death. Similarly, within this subgroup there was a higher proportion of patients with ECOG-PS ≥ 2 (29.3% vs 12.8%, p < 0.0001), with a higher burden of disease (74.0% vs 59.0%, p = 0.0025) and with NSCLC (74.0% vs 58.8%, p = 0.0236). CONCLUSION: Our results confirmed a trend toward an increasing ICIs prescription in frail patients, during the late stages of life. Caution should be exercised when evaluating an ICI treatment for patients with a poor PS and a high burden of disease.

Effect of concomitant medications with immune-modulatory properties on the outcomes of patients with advanced cancer treated with immune checkpoint inhibitors: development and validation of a novel prognostic index.

BACKGROUND: Concomitant medications are known to impact on clinical outcomes of patients treated with immune checkpoint inhibitors (ICIs). We aimed weighing the role of different concomitant baseline medications to create a drug-based prognostic score. METHODS: We evaluated concomitant baseline medications at immunotherapy initiation for their impact on objective response rate (ORR), progression-free survival (PFS) and overall survival (OS) in a single-institution cohort of patients with advanced cancer treated with ICIs (training cohort, N = 217), and a drug-based prognostic score with the drugs resulting significantly impacting the OS was computed. Secondly, we externally validated the score in a large multicenter external cohort (n = 1012). RESULTS: In the training cohort (n = 217), the median age was 69 years (range: 32-89), and the primary tumours were non-small-cell lung cancer (70%), melanoma (14.7%), renal cell carcinoma (9.2%) and others (6%). Among baseline medications, corticosteroids (hazard ratio [HR] = 2.3; 95% confidence interval [CI]: 1.60-3.30), systemic antibiotics (HR = 2.07; 95% CI: 1.31-3.25) and proton-pump inhibitors (PPIs) (HR = 1.57; 95% CI: 1.13-2.18) were significantly associated with OS. The prognostic score was calculated using these three drug classes, defining good, intermediate and poor prognosis patients. Within the training cohort, OS (p < 0.0001), PFS (p < 0.0001) and ORR (p = 0.0297) were significantly distinguished by the score stratification. The prognostic value of the score was also demonstrated in terms of OS (p < 0.0001), PFS (p < 0.0001) and ORR (p = 0.0006) within the external cohort. CONCLUSION: Cumulative exposure to corticosteroids, antibiotics and PPIs (three likely microbiota-modulating drugs) leads to progressively worse outcomes after ICI therapy. We propose a simple score that can help stratifying patients in routine practice and clinical trials of ICIs.