Background: Although clinical practice guidelines for the management of Immune Checkpoint Inhibitor (ICI)-related adverse events have recently been published, precise and nuanced toxicity data for combination ICI therapy are lacking. Therefore, herein we have conducted a systematic review and meta-analysis of published clinical trials on combination ICI to synthesize the treatment-related adverse event (TRAE) profile of combination ICI therapy. Methods: PUBMED, EMBASE, and the Cochrane Database/EBM were searched for eligible studies. Clinical trials evaluating combination immune checkpoint inhibitor therapy in advanced unresectable cancer were included in the analysis based on prespecified criteria. Risk of bias across studies was evaluated using Begg's funnel plot and Egger's regression test. The summary outcomes were pooled risk ratios (RR) and the logit-transformed proportion for incidence data. Results: A total of 18 studies comprising 2,767 patients across 10 cancer types were included in the final analysis. Combination ICI was associated with a slightly higher risk of all-grade adverse events (RR 1.07 [95% CI 1.03–1.11]) and markedly greater risk of grade 3 or higher adverse events (RR 2.21 [95% CI 1.57–3.10]) compared to monotherapy ICI. Subgroup analyses showed significant differences in risk of grade 3 or higher adverse events between treatment types (PD-1 + CTLA-4 and PD-L1 + CTLA-4), among cancer types, and among dosing regimens (N1I3, N3I1, and D20T1). The incidence of all-grade adverse events was 0.905 [95% CI 0.842–0.945], and the ratio of grade 3 or higher events to all-grade adverse events was 0.396 [95% CI 0.315–0.483]. The most common all-grade TRAEs were diarrhea/colitis, fatigue/asthenia, nausea/vomiting, rash, and pruritis. Conclusion: Combination ICI therapy has a significantly different treatment-related adverse event profile compared to monotherapy.

PURPOSE: Inferior outcomes of Black patients with lung cancer compared with other racial groups are often linked to socioeconomic factors. It is crucial to determine whether a varying prevalence of targetable mutations limits treatments and contributes to disparities. MATERIALS AND METHODS: We conducted a meta-analysis on the prevalence of lung cancer EGFR, ALK, ROS-1, and BRAF mutations in Black patients compared with White, Hispanic, and Asian patients. We searched PubMed/MEDLINE, Cochrane Library, EMBASE, CENTRAL, Google Scholar, and clinicaltrials.gov databases. We selected studies reporting the prevalence of at least one mutation in the Black population. We calculated the pooled prevalence of mutations using fixed effects, exact binomial distributions, and Freeman-Turkey double arcsine transformation to stabilize the variances. RESULTS: Twenty studies with 11,867 patients were included. In Black patients, EGFR was the most prevalent mutation (6%; 95% CI, 5 to 7), followed by BRAF (1%; 95% CI, 0 to 2), ALK (1%; 95% CI, 0 to 2), and ROS-1 (0%; 95% CI, 0 to 1). Black patients had a lower prevalence of EGFR mutations than White, Hispanic, and Asian patients ( P < .01). BRAF mutations were less prevalent in Black compared with White patients ( P < .05), and ALK mutations were less prevalent when compared with Hispanic patients ( P < .05). CONCLUSION: EGFR is the most frequent mutation found in Black patients, although its prevalence is lower than that in other races. Black patients have a low overall prevalence of ALK, ROS-1, and BRAF mutations. Given that disproportional eligibility for targeted therapies may be contributing to inferior outcomes, research focused on the Black population is needed to evaluate specific tumor characteristics and therapeutic strategies.

Advanced gastroesophageal cancer (GEC) has a poor prognosis and limited treatment options. Immunotherapy including the anti-programmed death-1 (PD-1) antibodies pembrolizumab and nivolumab have been approved for use in various treatment settings in GEC. Additionally, frontline chemoimmunotherapy regimens have recently demonstrated promising efficacy in large phase III trials and have the potential to be added to the therapeutic armamentarium in the near future. There are currently several immunotherapy biomarkers that are validated for use in the clinical setting for GEC including programmed death ligand-1 (PD-L1) expression as well as the tumor agnostic biomarkers such as mismatch repair or microsatellite instability (MMR/MSI) and tumor mutational burden (TMB). However, apart from MMR/MSI, these biomarkers are imperfect because none are highly sensitive nor specific. Therefore, there is an unmet need for immunotherapy biomarker development. To this end, several biomarkers are currently being evaluated in ongoing trials with some showing promising predictive potential. Here, we summarize the landscape of immunotherapy predictive biomarkers that are currently being evaluated in GEC.

Background: Given the inconclusive evidence behind the safety and efficacy of immune checkpoint inhibitors re-challenge, herein, we have conducted a systematic review and meta-analysis to synthesiz...