Comprehensive nomogram models for predicting checkpoint inhibitor pneumonitis.

Checkpoint inhibitor pneumonitis (CIP) is a common type of immune-related adverse events (irAEs) with poor clinical prognosis. Currently, there is a lack of effective biomarkers and predictive models to predict the occurrence of CIP. This study retrospectively enrolled 547 patients who received immunotherapy. The patients were divided into CIP cohorts of any grade, or grade ≥2 or ≥3. Multivariate logistic regression analysis was used to determine the independent risk factors, based on which we established Nomogram A and B for respectively predicting any grade or grade ≥2 CIP. For Nomogram A to predict any grade CIP, the C indexes in the training and validation cohorts were 0.827 (95% CI=0.772-0.881) and 0.860 (95% CI=0.741-0.918), respectively. Similarly, for Nomogram B to predict grade 2 or higher CIP, the C indexes of the training and validation cohorts were 0.873 (95% CI=0.826-0.921) and 0.904 (95% CI=0.804-0.973), respectively. In conclusion, the predictive power of nomograms A and B has proven satisfactory following internal and external verification. They are promising clinical tools that are convenient, visual, and personalized for assessing the risks of developing CIP.

Risk factors and immunomodulators use in steroid-refractory checkpoint inhibitor pneumonitis.

BACKGROUND: Checkpoint inhibitor pneumonitis (CIP) that does not respond to corticosteroids is termed steroid-refractory CIP. We aimed to find risk factors of steroid-refractory CIP and evaluate the management strategies of immunomodulators (IMs). METHODS: Patients with CIP were identified between August 2019 and August 2022 retrospectively. Clinical characteristics, peripheral blood biomarkers, and radiologic images were collected. RESULTS: Among 1209 patients with solid tumor receiving programmed death (ligand)-1 antibody, 28 patients developed steroid-refractory CIP and 38 patients developed steroid-response CIP. Patients with steroid-refractory CIP had a higher proportion of previous interstitial lung disease (p=0.015) and grade 3-4 (p<0.001) at diagnosis. Otherwise, absolute neutrophil count (ANC), procalcitonin were higher and albumin was lower in steroid-refractory patients (ANC, p=0.009; procalcitonin, p=0.024; albumin, p=0.026). After multivariate analysis, grade 3-4 and higher ANC at diagnosis were confirmed to be independent risk factors for steroid-refractory CIP (grade, p=0.001; ANC, p=0.046). For grade 2 steroid-refractory CIP, additional IMs did not affect the prognosis (p=1.000). However, additional IMs reduced the risk of deterioration significantly in grade 3-4 steroid-refractory CIP (p=0.036). CONCLUSIONS: Grade 3-4 and higher peripheral blood ANC at diagnosis are associated with higher risk of steroid-refractory CIP. The use of additional IMs improves the outcome of grade 3-4 steroid-refractory CIP. These results can offer new insights to the decision-making of CIP management.

Effect of Concomitant Use of Analgesics on Prognosis in Patients Treated With Immune Checkpoint Inhibitors: A Systematic Review and Meta-Analysis.

Background: Drug-drug interactions (DDIs) pose new challenges beyond traditional pharmacodynamics in the context of optimizing the treatment options with immune checkpoint inhibitors (ICIs). To alleviate cancer-related pain, analgesics are of absolute vital importance as chronic medications used by cancer patients. However, the possible outcome of ICI treatment concomitant with analgesics remains unclear. Methods: Original articles describing the possible influence of analgesics use on ICI treatment published before December 1, 2021 were retrieved from PubMed, Embase, and the Cochrane Library. Odds ratio (OR) with 95% confidence interval (CI) for objective response rate (ORR), hazard ratio (HR) with 95% CI for progression-free survival (PFS), and overall survival (OS) were calculated using the random-effects or fixed-effects model, and heterogeneity was assessed using the χ2-based Q-test. Publication bias was examined by funnel plot analysis. Results: A total of 11 studies involving 4,404 patients were included. The pooled OR showed that opioid use decreased the response of opioid users to ICIs compared to non-opioid users (OR = 0.49, 95% CI = 0.37-0.65, p < 0.001). Compared to patients who did not receive opioids, opioid users had an increased risk of progression and mortality (HR = 1.61, 95% CI = 1.37-1.89, p < 0.001; HR = 1.67, 95% CI =1.30-2.14, p < 0.001, respectively). Furthermore, the concomitant use of non-steroidal anti-inflammatory drugs (NSAIDs) was not significantly associated with differences in ORR, PFS, and OS in patients treated with ICIs (OR = 1.40, 95% CI = 0.84-2.32, p = 0.190; HR = 0.90, 95% CI = 0.77-1.06, p = 0.186; HR = 0.90, 95% CI = 0.71-1.14, p = 0.384, respectively). Conclusion: The concomitant use of opioids during ICI treatment has an adverse effect on patient prognosis, while the use of NSAIDs is not significantly associated with the prognosis in patients treated with ICIs.

First-line chemotherapy plus immune checkpoint inhibitors or bevacizumab in advanced non-squamous non-small-cell lung cancer without EGFR mutations or ALK fusions.

Aim: To compare the efficacy and safety of first-line chemotherapy (Chemo) plus immune checkpoint inhibitors (ICIs) or bevacizumab (Bev) in advanced non-squamous non-small-cell lung cancer without EGFR mutations or ALK fusions. Methods: A network meta-analysis was conducted to synthesize relative treatment outcomes. Results: Chemo + ICIs is superior to Chemo + Bev in both overall survival (hazard ratio: 0.92; 95% CI: 0.88-0.96) and progression-free survival (hazard ratio: 0.93; 95% CI: 0.90-0.97), with comparable severe adverse events. However, for patients with liver metastasis, Chemo + Bev has a 59.8% probability of providing better overall survival benefit. For specific regimens, pembrolizumab + Chemo showed an absolute advantage over other regimens. Conclusion: First-line Chemo + ICIs is superior to Chemo + Bev in advanced non-squamous non-small-cell lung cancer except for patients with liver metastasis.

Chemotherapy plus immune checkpoint inhibitors and chemotherapy plus bevacizumab were both superior to traditional chemotherapy and were recommended as the first-line treatment for advanced non-squamous non-small-cell lung cancer patients without EGFR mutations or ALK fusions. However, the efficacy and safety of these two treatment models have not been comprehensively discussed head-to-head in clinical trials. Therefore, a network meta-analysis was performed to compare efficacy between these two treatment models, especially according to different clinical characteristics, to guide decision making in clinical practice.

Predicting checkpoint inhibitors pneumonitis in non-small cell lung cancer using a dynamic online hypertension nomogram.

OBJECTIVES: Checkpoint inhibitors pneumonitis (CIP) is one of the most lethal adverse events in non-small cell lung cancer (NSCLC) patients treated with immune checkpoint inhibitors (ICIs). Currently, there is no recognized and effective predictive model to predict CIP in NSCLC. MATERIALS AND METHODS: This study retrospectively analyzed 460 NSCLC patients who were first treated with ICIs. Patients were divided into three cohorts based on the occurrence of CIP: any grade CIP cohort, grade ≥ 2 CIP cohort and grade ≥ 3 CIP cohort. RESULTS: A dynamic hypertension nomogram was constructed with elements including hypertension, interstitial lung disease (ILD), emphysema at baseline, and higher baseline platelet/lymphocyte ratio (PLR). The C indices of the training cohort and the internal and external validation cohort in any grade CIP cohort were 0.872, 0.833 and 0.840, respectively. The constructed hypertension nomogram was applied to grade ≥ 2 cohort and grade ≥ 3 cohort, and their C indices were 0.844 and 0.866, respectively. Compared with the non-hypertension nomogram, the hypertension nomogram presented better predictive power. CONCLUSIONS: After validated by internal and external validation cohorts, the dynamic online hypertension has the potential to become a convenient, intuitive, and personalized clinical tool for assessing the risk of CIP in NSCLC patients.

Eosinophil as a biomarker for diagnosis, prediction, and prognosis evaluation of severe checkpoint inhibitor pneumonitis.

Introduction: Checkpoint inhibitor pneumonitis (CIP) is a common serious adverse event caused by immune checkpoint inhibitors (ICIs), and severe CIP can be life-threatening. We aimed to investigate the role of peripheral blood cells in diagnosis, prediction, and prognosis evaluation for all and severe CIP. Materials and methods: Patients with lung cancer receiving ICIs were enrolled in this retrospective study. Baseline was defined as the time of ICI initiation, endpoint was defined as the time of clinical diagnosis of CIP or the last ICI treatment, and follow-up point was defined as 1 week after CIP. Eosinophil percentages at baseline, endpoint, and follow-up point were shortened to "E bas", "E end and "E fol", respectively. Results: Among 430 patients included, the incidence of CIP was 15.6%, and severe CIP was 3.7%. The E end/E bas value was lower in patients with CIP (p = 0.001), especially severe CIP (p = 0.036). Receiver operating characteristic curves revealed that E end/E bas could serve as a biomarker to diagnose CIP (p = 0.004) and severe CIP (p < 0.001). For severe CIP, the eosinophil percentage declined before the symptoms appeared and CT diagnosis. The eosinophil percentage significantly elevated at the follow-up point in the recovery group but not in the non-recovery group. The CIP patients with E fol/E bas ≥1.0 had significantly prolonged overall survival (p = 0.024) and after-CIP survival (AS) (p = 0.043). The same results were found in severe CIP but without a statistical difference. Conclusions: Eosinophil percentage was associated with the diagnosis, prediction, and prognosis of CIP and severe CIP.

Characteristics of the immunogenicity and tumor immune microenvironment in HER2-amplified lung adenocarcinoma.

Objective: Besides breast and gastric cancer, HER2 amplification/mutation are also found in lung adenocarcinoma (LUAD). However, the correlation between HER2 variations and the phenotype of immunogenicity and tumor immune microenvironment (TIME) in LUAD compared with breast and gastric cancer has yet to be fully elucidated. Methods: We integrated public databases (discovery set) and internal data (validated set) of 288 patients representing three distinct HER2-altered tumors. Genomic data were used to identify somatic mutations, copy number variations, and calculate tumor mutational burden (TMB) and microsatellite instability score. RNA sequencing was conducted to estimate immune gene signatures and contents of tumor-infiltrating immune cell populations. Finally, IHC was used to determine PD-L1 expression and the tumoral-infiltration of immune cells in 50 HER2-variant tumor specimens with no prior therapeutic regimens. Results: Compared with HER2-amplified breast and gastric cancers, patients with HER2-amplified LUAD showed higher immunogenicity, mainly manifested in immune checkpoints expression and tissue/blood TMB. Additionally, HER2-amplified LUAD exhibited an inflamed TIME with remarkably increased genes encoding HLAs, T-cell activity and immune cell-type, and accompanied with tumor-infiltrating lymphocytes. In LUAD, patients with HER2 amplification possessed higher tissue TMB than HER2 mutation, whereas no difference was observed in PD-L1 expression. HER2 amplification (primary) was associated with significantly higher PD-L1 expression and TMB than acquired HER2 amplification after resistance to EGFR-TKIs. Conclusion: Patients with HER2-amplified LUAD have better immunogenicity and/or an inflamed TIME among HER2-aberrant tumors. Our study may provide clues for establishing the benefits and uses of ICIs for patients with this disease.

An Indirect Comparison Between Nivolumab + Ipilimumab + Two Cycles of Chemotherapy vs. Pembrolizumab + Chemotherapy as First-Line Treatment for Metastatic Non-Small Cell Lung Cancer.

BACKGROUND: Nivolumab + ipilimumab + two cycles chemotherapy (N-I + chemo, intensive immunotherapy but chemo-light) and pembrolizumab + chemotherapy (Pem + chemo) were both recommended as first-line treatment for metastatic non-small cell lung carcinoma (NSCLC) patients. We conducted this indirect comparison to compare the efficacy of and safety between these two treatments for providing reference for decision making. METHODS: Relevant databases were searched for eligible trials. A well-accepted adjusted indirect treatment comparison (ITC) approach was selected to pool efficacy results and safety outcomes. Subgroup analyses were stratified according to PD-L1 expression and clinical characteristics. RESULTS: Four eligible randomized trials (CheckMate9LA, KEYNOTE-021G, KEYNOTE 189, KEYNOTE 407) involving 2017 patients were available to analyze. The ITC results suggested that N-I + chemo is comparable to Pem + chemo in OS (HR 1.03, 95% CI 0.82-1.30) and ORR (RR 0.81, 95% CI 0.62-1.06), but tended to yield inferior PFS (HR 1.28, 95% CI 1.04-1.59) than did Pem + chemo. As for safety profiles, N-I + chemo showed no significant difference relative to Pem + chemo in any grade adverse events: (RR 1.03, 95% CI 0.99-1.10), but demonstrated reduced toxicity in chemo-related adverse events, such as anemia (RR 0.63, 95% CI 0.49-0.81), neutropenia (RR0.51, 95% CI 0.33-0.79), and thrombocytopenia (RR 0.38, 95% CI 0.21-0.69). CONCLUSIONS: N-I + chemo is a promising treatment option for providing comparable OS related to Pem + chemo. However, for never smoker female patients, Pem + chemo is preferable to choose for demonstrating favorable OS benefit than N-I + chemo.

First-line immune-based combination therapies for advanced non-small cell lung cancer: A Bayesian network meta-analysis.

BACKGROUND: Immune-based combination therapies have revolutionized the first-line treatment for advanced non-small cell lung cancer (NSCLC). However, for the efficacy and safety, the best treatment option is still uncertain. METHODS: We conducted a Bayesian network meta-analysis of randomized controlled trials (RCTs) to evaluate first-line immune-based combination therapies for advanced NSCLC. RESULTS: Fourteen trials involving 8467 patients were included. For the programmed cell death-ligand 1 (PD-L1) expression non-selective patients, there were no significant differences among all the treatment modes for overall survival (OS), but the ranking profiles indicated that Immunotherapy + Immunotherapy + Chemotherapy (IO + IO + Chemo) was most likely to be the best mode (probability = 68%). Immunotherapy + Immunotherapy + Anti-angiogenic therapy + Chemotherapy (IO + Anti-angio + Chemo) was significantly better than most other treatment modes for progression-free survival (PFS) with better objective response rate (ORR) and more obvious grade ≥3 treatment-related adverse events (TRAEs). In PD-L1-high cohort, IO + Anti-angio + Chemo seemed to be the best mode for OS, PFS, and ORR according to the ranking profiles. In PD-L1-intermediate and PD-L1-negative cohort, IO + IO + Chemo was inclined to be ranked first for prolonging OS (probability = 78%; 37%) and IO + Anti-angio + Chemo was most likely to provide best PFS (probability = 96%; 100%). CONCLUSION: IO + IO + Chemo has great potential to improve the OS regardless of histology type, especially in PD-L1-intermediate and PD-L1-negative cohort. IO + Anti-angio + Chemo shows great superiority in improving the short-term survival accompanied by increasing grade ≥3 TRAEs.

Effect of Immune-Related Adverse Events and Pneumonitis on Prognosis in Advanced Non-Small Cell Lung Cancer: A Comprehensive Systematic Review and Meta-analysis.

OBJECTIVE: The correlation between immune-related adverse events (irAEs) and prognosis remains controversial in advanced non-small cell lung cancer (NSCLC). The aim of this study was to systematically evaluate the effect of irAEs, especially checkpoint inhibitor pneumonitis (CIP), on the survival and treatment response in advanced NSCLC. METHODS: The primary outcomes were overall survival (OS) and objective response rate (ORR). Databases were searched for relevant studies, and meta-analysis was conducted with RevMan. RESULTS: A total of 51 studies involving 12,600 participants were included. The development of irAEs had an advantageous effect on OS and ORR in advanced NSCLC (OS: hazard ratio [HR], 0.56 [95% confidence interval [CI] 0.46 to 0.67]; ORR: odds ratio [OR], 3.13 [2.41 to 4.06]). The occurrence of endocrine and skin irAEs had advantageous effects on both OS and ORR (endocrine OS, HR, 0.47 [-0.37 to 0.59]; endocrine ORR: OR, 1.90 [1.27 to 2.84]; skin OS: HR, 0.48 [0.38 to 0.61]; skin ORR: OR, 4.30 [2.68 to 6.91]). Severe-grade irAEs resulted in shorter OS than low-grade irAEs (HR, 1.49 [1.06, 2.09]), and multiple irAEs resulted in better ORR compared with 1 irAE (OR, 2.04 [1.41 to 2.94]). The occurrence of CIP had no significant effect on OS (HR, 1.14 [0.70 to 1.86]), but it was associated with better ORR (OR, 2.12 [1.06 to 4.25]). Severe-grade CIP had no effect on OS or ORR, but CIP leading to treatment discontinuation resulted in shorter OS (HR, 2.35 [1.17 to 4.72]). CONCLUSION: The development of irAEs had advantageous effects on survival and response in advanced NSCLC. CIP had no effect on survival, but it predicted better response.