Immunotherapy-related adverse events in real-world patients with advanced non-small cell lung cancer on chemoimmunotherapy: a Spinnaker study sub-analysis

Systemic immune-inflammation index as a predictor of survival in non-small cell lung cancer patients undergoing immune checkpoint inhibition: A systematic review and meta-analysis

BACKGROUND

This meta-analysis aims to evaluate the association between pretreatment systemic immune-inflammation index (SII) levels and progression-free survival (PFS) and overall survival (OS) in NSCLC patients receiving immune checkpoint inhibitors (ICIs).

METHODS

A systematic search was conducted across PubMed, Embase, and Web of Science. Hazard ratios (HRs) with 95 % confidence intervals (CIs) for PFS and OS were extracted or calculated. Random-effects models were employed to pool the results and subgroup analyses were performed based on study characteristics, treatment regimens, and analytical methods.

RESULTS

Two prospective and 11 retrospective studies involving 2342 NSCLC patients treated with ICIs were included. A high pretreatment SII was significantly associated with poor PFS (HR: 2.05, 95 % CI: 1.59-2.64, p < 0.001; I2 = 42 %) and poor OS (HR: 1.54, 95 % CI: 1.29-1.82, p < 0.001; I2 = 22 %). Subgroup analyses according to the country of the study, lines of treatment, cancer stage, methods for determining the cutoffs of SII, and the analytic models showed consistent results (p for subgroup difference all > 0.05). Interestingly, the subgroup analyses indicated a stronger association in patients receiving ICIs alone versus those receiving concurrent chemotherapy (p for subgroup difference = 0.04).

CONCLUSIONS

High pretreatment SII is associated with worse PFS and OS in NSCLC patients treated with ICIs, particularly for the patients receiving ICIs alone without concurrent chemotherapy.

Prognostic value of the CONUT score with immune checkpoint inhibitors as first-line therapy for metastatic malignant melanoma

The recent availability of immune checkpoint inhibitors (ICIs) has revolutionized the treatment of advanced malignant melanoma (MM). However, many patients with MM do not benefit from ICI treatment. As immunotherapy is associated with significant toxicity and high treatment costs despite its excellent efficacy, it is pertinent to select patients who are likely to respond to ICIs. In this single-center, retrospective study we investigated whether the controlling nutritional status (CONUT) score is a useful prognostic marker in Japanese patients with advanced-stage cancer. We analyzed 123 patients with stage IV MM treated with ICIs as first-line systemic treatment at our hospital between February 2012 and July 2024. Receiver operating characteristic curve analysis was used to calculate the CONUT cut-off value and CONUT into two groups of ≥3 and ≤2. Progression-free survival (PFS) and overall survival (OS) were determined using the Kaplan-Meier method, and differences in survival were assessed using the log-rank test. The Cox proportional hazard regression model was used to evaluate independent prognostic factors. Objective response rate (ORR), PFS, and OS were significantly low in the CONUT ≥3 group, characterized by low nutritional status and high inflammation. Multivariate analysis identified the CONUT score as an independent prognostic factor for both PFS and OS. The CONUT score was not significantly associated with the development of serious immune-related adverse events. The simplicity of the CONUT score may aid in identifying patients with MM who are suitable candidates for ICI treatment.

Predictive value of near-term prediction models for severe immune-related adverse events in malignant tumor PD-1 inhibitor therapy

Immune-related adverse events (irAEs) impact outcomes, with most research focusing on early prediction (baseline data), rather than near-term prediction (one cycle before the occurrence of irAEs and the current cycle). We aimed to explore the near-term predictive value of neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), absolute eosinophil count (AEC) for severe irAEs induced by PD-1 inhibitors. Data were collected from tumor patients treated with PD-1 inhibitors. NLR, PLR, and AEC data were obtained from both the previous and the current cycles of irAEs occurrence. A predictive model was developed using elastic net logistic regression Cutoff values were determined using Youden's Index. The predicted results were compared with actual data using Bayesian survival analysis. A total of 138 patients were included, of whom 47 experienced grade 1-2 irAEs and 18 experienced grade 3-5 irAEs. The predictive model identified optimal α and λ through 10-fold cross-validation. The Shapiro-Wilk test, Kruskal-Wallis test and logistic regression showed that only current cycle data were meaningful. The NLR was statistically significant in predicting irAEs in the previous cycle. Both NLR and AEC were significant predictors of irAEs in the current cycle. The model achieved an area under the ROC curve (AUC) of 0.783, with a sensitivity of 77.8% and a specificity of 80.8%. A probability ≥ 0.1345 predicted severe irAEs. The model comprising NLR, AEC, and sex may predict the irAEs classification in the current cycle, offering a near-term predictive advantage over baseline models and potentially extending the duration of immunotherapy for patients.

Efficacy and safety of anti-programmed death-1 antibody-based combination therapy in advanced or metastatic gastric or gastroesophageal junction cancer in Chinese patients: A real-world study

PURPOSE

Programmed death-1 antibody plus chemotherapy has gained approval for the treatment for (human epidermal growth factor receptor 2 negative locally advanced or metastatic gastric or gastroesophageal junction cancer. This study aims to analyze the efficacy and safety of anti-programmed death-1 antibody combined with chemo- or anti-angiogenesis therapy in Chinese patients with advanced or metastatic gastric or gastroesophageal junction cancer in a real-world setting.

METHODS

In total, 122 patients treated with anti-programmed death-1 antibody-based combination therapy between April 2019 and December 2021 were encompassed. Clinical outcomes and safety profile were measured and analyzed.

RESULTS

In the whole cohort, median overall survival was 17.2 months, median progression-free survival was 10.9 months, and median duration of response was 9.4 months. Notably, in the first-line patients, the median overall survival was not reached, median progression-free survival was 14.8 months, objective response rate was 68.4%. In the second-line group, median overall survival, median progression-free survival, median duration of response, and objective response rate were 10.9 months, 5.9 months, 4.5 months, and 41.5%, respectively. Treatment-related adverse events of any grade were observed in 28.2% of the overall cohort, primarily affecting the hematological and liver function. Grade 3 or 4 adverse events were mainly characterized by increased levels of aspartate aminotransferase, alanine aminotransferase, along with decreased lymphocyte and white blood cells, as well as anemia.

CONCLUSIONS

Patients in our cohort experienced a clinical benefit from anti-programmed death-1 antibody-combined treatment in first-line treatment settings, with acceptable treatment-related adverse events. The benefit of anti-programmed death-1 antibody combined with chemo- or anti-angiogenesis treatment to the second-line patients should be further confirmed by large multi-center randomized, controlled clinical trials.

Perioperative immunotherapy for stage II-III non-small cell lung cancer: a meta-analysis base on randomized controlled trials

Background

In recent years, we have observed the pivotal role of immunotherapy in improving survival for patients with non-small cell lung cancer (NSCLC). However, the effectiveness of immunotherapy in the perioperative (neoadjuvant + adjuvant) treatment of resectable NSCLC remains uncertain. We conducted a comprehensive analysis of its antitumor efficacy and adverse effects (AEs) by pooling data from the KEYNOTE-671, NADIM II, and AEGEAN clinical trials.

Methods

For eligible studies, we searched seven databases. The randomized controlled trials (RCTs) pertaining to the comparative analysis of combination neoadjuvant platinum-based chemotherapy plus perioperative immunotherapy (PIO) versus perioperative placebo (PP) were included. Primary endpoints were overall survival (OS) and event-free survival (EFS). Secondary endpoints encompassed drug responses, AEs, and surgical outcomes.

Results

Three RCTs (KEYNOTE-671, NADIM II, and AEGEAN) were included in the final analysis. PIO group (neoadjuvant platinum-based chemotherapy plus perioperative immunotherapy) exhibited superior efficacy in OS (hazard ratio [HR]: 0.63 [0.49-0.81]), EFS (HR: 0.61 [0.52, 0.72]), objective response rate (risk ratio [RR]: 2.21 [1.91, 2.54]), pathological complete response (RR: 4.36 [3.04, 6.25]), major pathological response (RR: 2.79 [2.25, 3.46]), R0 resection rate (RR: 1.13 [1.00, 1.26]) and rate of adjuvant treatment (RR: 1.08 [1.01, 1.15]) compared with PP group (neoadjuvant platinum-based chemotherapy plus perioperative placebo). In the subgroup analysis, EFS tended to favor the PIO group in almost all subgroups. BMI (>25), T stage (IV), N stage (N1-N2) and pathological response (with pathological complete response) were favorable factors in the PIO group. In the safety assessment, the PIO group exhibited higher rates of serious AEs (28.96% vs. 23.51%) and AEs leading to treatment discontinuation (12.84% vs. 5.81%). Meanwhile, although total adverse events, grade 3-5 adverse events, and fatal adverse events tended to favor the PP group, the differences were not statistically significant.

Conclusion

PIO appears to be superior to PP for resectable stage II-III NSCLC, demonstrating enhanced survival and pathological responses. However, its elevated adverse event (AE) rate warrants careful consideration.

Systematic review registration

https://www.crd.york.ac.uk/PROSPERO/#recordDetails, identifier CRD42023487475.