scholarly journals Correlation of Peripheral Blood Parameters and Immune-Related Adverse Events with the Efficacy of Immune Checkpoint Inhibitors

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Rilan Bai ◽  
Lingyu Li ◽  
Xiao Chen ◽  
Naifei Chen ◽  
Wei Song ◽  
...  
Keyword(s):  
Adverse Events ◽  
Immune Checkpoint ◽  
Immune Checkpoint Inhibitors ◽  
Proportional Hazards Model ◽  
Immune Cell ◽  
Checkpoint Inhibitors ◽  
Characteristic Curve ◽  
Objective Response ◽  
Cox Proportional Hazards Model ◽  
Monocyte Count

Objective. We aimed to retrospectively analyze the predictors of immune checkpoint inhibitors (ICIs)-efficacy in patients with advanced pancancer who were treated with various ICIs in the real world and focused on the correlation between ICIs-efficacy and immune-related adverse events (irAEs). Methods. We retrospectively analyzed data from 103 patients with advanced pancancer treated receiving various ICIs in the First Hospital of Jilin University from January 1, 2016 to August 1, 2020. Survival probabilities of progression-free survival (PFS) and overall survival (OS) were estimated using Kaplan–Meier curves and log-rank tests and the multivariate Cox proportional hazards model. Receiver-operating characteristic curve was used to determine a cutoff value for parameters and area under the curve. Correlations between the two variables were analyzed by logistic regression. Results. All patients were analyzed for survival predictors of OS, while 87 of 103 patients experienced evaluable disease progression of immunotherapy and were included in the analysis of predictors of PFS. First, we found that lower platelet (cutoff = 201.5 × 109/L) and lactate dehydrogenase (LDH) (cutoff = 227 U/L) were independently associated with significantly improved PFS, while lower platelet-lymphocyte ratio (cutoff = 206.5), absolute monocyte count (cutoff = 0.62 × 109/L), and LDH (cutoff = 194.5 U/L) were significantly and independently associated with better OS. In the analysis of the immune cell subgroup, a lower absolute countof CD8+CD28−suppressor T cells was an independent factor associated with better PFS (6.60 vs.4.13 months (mo), hazard ratios (HR) = 3.17, p  = 0.0038), and OS (29.4 vs. 9.57 mo, HR = 3.05, p  = 0.03). Second, the results of the analysis for irAEs showed that patients with any grade irAEs had higher objective response rate (30% vs. 10%, HR = 4.34, p  = 0.009), disease control rate (69.7% vs. 50%, HR = 2.3, p  = 0.028), PFS (8.37 vs. 3.77 mo, HR = 2.02, p  = 0.0038), and OS (24.77 vs.13.83 mo, HR = 1.84, p  = 0.024). Moreover, the groups with irAEs of grade ≥2 and with “multi-site” irAEs had significantly better PFS and OS ( p  < 0.05) compared with the other groups. We also proved that endocrine irAEs (usually thyroid dysfunction) were significantly associated with better mPFS ( p  = 0.01), and hepatic irAEs were significantly associated with better mOS ( p  = 0.023). Conclusions. This retrospective study explored the availability and effectiveness of some cost-effective and readily available blood biochemical parameters in routine clinical practice to predict the ICIs-efficacy and demonstrated the predictive role of different categories of irAEs on efficacy.

scholarly journals Eosinophil Count as Predictive Biomarker of Immune-Related Adverse Events (irAEs) in Immune Checkpoint Inhibitors (ICIs) Therapies in Oncological Patients

Immuno ◽  
2021 ◽  
Vol 1 (3) ◽  
pp. 253-263
Author(s):  
Elisa Giommoni ◽  
Roberta Giorgione ◽  
Agnese Paderi ◽  
Elisa Pellegrini ◽  
Elisabetta Gambale ◽  
...  
Keyword(s):  
Mathematical Model ◽  
Adverse Events ◽  
Immune Checkpoint ◽  
Eosinophil Count ◽  
Immune Checkpoint Inhibitors ◽  
Checkpoint Inhibitors ◽  
Objective Response ◽  
Predictive Biomarker ◽  
Response To Treatment ◽  
Analysis Model

Background: To date, no biomarkers are effective in predicting the risk of developing immune-related adverse events (irAEs) in patients treated with immune checkpoint inhibitors (ICIs). This study aims to evaluate the association between basal absolute eosinophil count (AEC) and irAEs during treatment with ICIs for solid tumors. Methods: We retrospectively evaluated 168 patients with metastatic melanoma (mM), renal cell carcinoma (mRCC), and non-small cell lung cancer (mNSCLC) receiving ICIs at our medical oncology unit. By combining baseline AEC with other clinical factors, we developed a mathematical model for predicting the risk of irAEs, which we validated in an external cohort of patients. Results: Median baseline AEC was 135/µL and patients were stratified into two groups accordingly; patients with high baseline AEC (>135/µL) were more likely to experience toxicity (p = 0.043) and have a better objective response rate (ORR) (p = 0.003). By constructing a covariance analysis model, it emerged that basal AEC correlated with the risk of irAEs (p < 0.01). Finally, we validated the proposed model in an independent cohort of 43 patients. Conclusions: Baseline AEC could be a predictive biomarker of ICI-related toxicity, as well as of response to treatment. The use of a mathematical model able to predict the risk of developing irAEs could be useful for clinicians for monitoring patients receiving ICIs.

scholarly journals THER-16. EFFICACY OF UPFRONT IMMUNE CHECKPOINT INHIBITORS IN LUNG CANCER BRAIN METASTASIS

2019 ◽  
Vol 1 (Supplement_1) ◽  
pp. i14-i14
Author(s):  
Addison Barnett ◽  
Adam Lauko ◽  
Assad Ali ◽  
Hong Li ◽  
Soumya Sagar ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Brain Metastasis ◽  
Immune Checkpoint ◽  
Immune Checkpoint Inhibitors ◽  
Proportional Hazards Model ◽  
Checkpoint Inhibitors ◽  
Tertiary Care ◽  
Primary Lung Cancer ◽  
Cox Proportional Hazards Model ◽  
Rank Test

Abstract INTRODUCTION: Immune checkpoint inhibitors (ICI) have resulted in improved outcomes in a subset of patients with lung cancer. However, data describing the efficacy of ICI in lung cancer brain metastasis (LCBM) is limited. We analyzed overall survival (OS) in patients with LCBM treated with upfront ICI, defined as having received ICI within 90 days of LCBM diagnosis, compared to non-ICI therapies. METHODS: We reviewed 665 patients with LCBM who were diagnosed between 2000 and 2018 at a major tertiary care institution. Of those patients, 240 received ICI, 164 of which received ICI after 90 days and 76 received ICI within 90 days. Propensity score (PS) was calculated using a logistic regression model including age, KPS, number of baseline brain lesions, and presence of extra-cranial metastasis (ECM) at the time of BM diagnosis. OS from BM diagnosis between PS matched cohorts were compared using Kaplan-Meier, the Log-Rank test, and Cox proportional hazards model. RESULTS: Prior to PS matching, median survival between ICI and non-ICI cohorts was not significantly different (10.9 months for both, p=0.81), although more ICI patients had ECM (57.1% vs 40.9%, p=0.006). Following PS matching, the ICI (n=76) and non-ICI (n=76) cohorts had a median age (62.4 vs 62.3 years), KPS (80 for both), lesion number (2 for both), and ECM (56.6% for both). Of matched patients, 94% received SRS, 52% received WBRT, and 29% underwent surgical resection. Compared to non-ICI, the ICI cohort has a 2-year OS hazard ratio, HR=0.87 (95% CI=0.58–1.31, p=0.51). Median and 1-year survival were not significantly different between ICI and non-ICI cohorts (median: 10.9 vs 9.1 months; 1-yr: 43.0% vs 42.4%). CONCLUSION: Patients with BM from primary lung cancer who received ICI within 90 days of their BM diagnosis did not have improvement in OS compared to patients who received non-ICI therapies.

scholarly journals Association of blood biomarkers and autoimmunity with immune related adverse events in patients with cancer treated with immune checkpoint inhibitors

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Despina Michailidou ◽  
Ali Raza Khaki ◽  
Maria Pia Morelli ◽  
Leonidas Diamantopoulos ◽  
Namrata Singh ◽  
...  
Keyword(s):  
Adverse Events ◽  
Immune Checkpoint ◽  
Immune Checkpoint Inhibitors ◽  
Checkpoint Inhibitors ◽  
Cancer Type ◽  
Monocyte Count ◽  
Blood Biomarkers ◽  
Lymphocyte Ratio ◽  
Patients With Cancer ◽  
History Of

AbstractPatients with cancer treated with immune checkpoint inhibitors (ICIs) develop immune related adverse events (irAEs), however biomarkers are lacking. We hypothesized that clinicopathologic and laboratory factors would be associated with irAE risk and overall survival (OS) in this population. In a retrospective study of patients treated with ICIs we collected clinicopathologic, laboratory, irAEs and outcomes data. The association between baseline blood biomarkers, clinicopathologic features and irAEs was assessed by logistic regression adjusting for age, sex, smoking, cancer type, performance status, concomitant other systemic therapy, history of autoimmune disease (AD), chronic infection and pre-existing systemic steroid use (regardless of dose). Optimal cutoff values of biomarkers were identified by recursive partitioning analysis. 470 patients were identified; 156 (33%) developed irAEs, which were associated with baseline absolute lymphocyte count > 2.6 k/ul (adjusted [a]OR: 4.30), absolute monocyte count > 0.29 k/ul (aOR: 2.34) and platelet count > 145 k/ul (aOR: 2.23), neutrophil to lymphocyte ratio (NLR) ≤ 5.3 (aOR: 2.07) and monocyte to lymphocyte ratio (MLR) ≤ 0.73 (aOR: 2.96), as well as platelet to lymphocyte ratio ≤ 534 (aOR: 5.05). Patients with pre-existing AD (aOR: 2.57), family history of AD (aOR: 5.98), and ICI combination (aOR: 2.00) had higher odds of irAEs. Baseline NLR ≤ 5.3 (aHR: 0.68), MLR ≤ 0.73 (aHR: 0.43), PLT > 145 (aHR: 0.48) and PLR ≤ 534 (aHR: 0.48) were associated with longer OS. irAEs were associated with autoimmune history, ICI combination and baseline laboratory measurements. Lower NLR, MLR and PLR may have favorable prognostic value. Our hypothesis-generating findings require validation in larger prospective studies.

scholarly journals Correlation Between Immune-Related Adverse Events and Prognosis in Hepatocellular Carcinoma Patients Treated With Immune Checkpoint Inhibitors

2021 ◽  
Vol 12 ◽  
Author(s):  
Shuo Xu ◽  
Ruixue Lai ◽  
Qian Zhao ◽  
Pandong Zhao ◽  
Ruili Zhao ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Adverse Events ◽  
Immune Checkpoint ◽  
Clinical Benefit ◽  
Immune Checkpoint Inhibitors ◽  
Checkpoint Inhibitors ◽  
Objective Response ◽  
Progression Free Survival ◽  
Low Grade ◽  
Better Than

BackgroundImmune-related adverse events (irAEs) caused by immune checkpoint inhibitors (ICIs) were associated with clinical benefit in cancer patients of melanoma, a lung cancer. In the present study, we investigated the correlation between irAE and ICI efficacy in hepatocellular carcinoma (HCC) patients.MethodsWe divided the HCC patients who received the anti-PD-1 antibody into two groups as irAE group and non-irAE group according to the National Cancer Institute Common Terminology Criteria for Adverse Events ver. 4.03. The treatment efficacy of ICIs was evaluated with objective response rate (ORR), disease control rate (DCR), progression-free survival (PFS), and overall survival (OS).ResultOf the 65 HCC patients who received the anti-PD-1 antibody (monotherapy or combined with targeted medicine), median PFS in the irAE group was superior to that in the non-irAE group (302 days vs. 148 days, p = 0.004). Median OS in the irAE group was also better than that in the non-irAE group (374 days vs. 279 days, p = 0.038). Although the statistical difference for DCR in the irAE group and non-irAE group was not reached, the DCR of the irAE displayed a trend better than that of the non-irAE group (41.20% vs. 20.80%, p = 0.118). Multivariate analysis also demonstrated that the non-irAE group (HR = 6.410, 95% CI: 1.404 to 29.275) was associated independently with the poor prognosis.ConclusionsDevelopment of irAEs was associated with clinical benefit for HCC patients who were treated with immune checkpoint inhibitors; irAE, particularly low-grade irAE, was a predictable marker for better ICI treatment efficiency in HCC patients.

scholarly journals Combination therapy with immune checkpoint inhibitors (ICIs); a new frontier

2022 ◽  
Vol 22 (1) ◽  
Author(s):  
Somayeh Vafaei ◽  
Angelina O. Zekiy ◽  
Ramadhan Ado Khanamir ◽  
Burhan Abdullah Zaman ◽  
Arman Ghayourvahdat ◽  
...  
Keyword(s):  
Combination Therapy ◽  
Immune Checkpoint ◽  
Immune Checkpoint Inhibitors ◽  
Immune Cell ◽  
Checkpoint Inhibitors ◽  
Objective Response ◽  
Acquired Resistance ◽  
Tumor Resistance ◽  
Therapeutic Benefits ◽  
Therapeutic Outcomes

AbstractRecently, immune checkpoint inhibitors (ICIs) therapy has become a promising therapeutic strategy with encouraging therapeutic outcomes due to their durable anti-tumor effects. Though, tumor inherent or acquired resistance to ICIs accompanied with treatment-related toxicities hamper their clinical utility. Overall, about 60–70% of patients (e.g., melanoma and lung cancer) who received ICIs show no objective response to intervention. The resistance to ICIs mainly caused by alterations in the tumor microenvironment (TME), which in turn, supports angiogenesis and also blocks immune cell antitumor activities, facilitating tumor cells' evasion from host immunosurveillance. Thereby, it has been supposed and also validated that combination therapy with ICIs and other therapeutic means, ranging from chemoradiotherapy to targeted therapies as well as cancer vaccines, can capably compromise tumor resistance to immune checkpoint blocked therapy. Herein, we have focused on the therapeutic benefits of ICIs as a groundbreaking approach in the context of tumor immunotherapy and also deliver an overview concerning the therapeutic influences of the addition of ICIs to other modalities to circumvent tumor resistance to ICIs.

scholarly journals Immune-Related Adverse Events Predict the Efficacy of Immune Checkpoint Inhibitors in Lung Cancer Patients: A Meta-Analysis

2021 ◽  
Vol 11 ◽  
Author(s):  
Donghui Wang ◽  
Cen Chen ◽  
Yanli Gu ◽  
Wanjun Lu ◽  
Ping Zhan ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Adverse Events ◽  
Cancer Patients ◽  
Immune Checkpoint ◽  
Immune Checkpoint Inhibitors ◽  
Checkpoint Inhibitors ◽  
Meta Analysis ◽  
Objective Response ◽  
Progression Free Survival ◽  
Lung Cancer Patients

BackgroundImmune-related adverse events (irAEs) have been reported to be associated with the efficacy of immunotherapy. Herein, we conducted a meta-analysis to demonstrate that irAEs could predict the efficacy of immune checkpoint inhibitors (ICIs) in lung cancer patients.MethodsLiterature on the correlation between irAEs and the efficacy of immunotherapy in lung cancer patients were searched to collect the data on objective response rate (ORR), overall survival (OS), or progression-free survival (PFS) of the patients. These data were incorporated into the meta-analysis.ResultsA total of 34 records encompassing 8,115 patients were examined in this study. The irAEs occurrence was significantly associated with higher ORR {risk ratio (RR): 2.43, 95% confidence interval (CI) [2.06–2.88], p &lt; 0.00001} and improved OS {hazard ratio (HR): 0.51, 95% CI [0.43–0.61], p &lt; 0.00001}, and PFS (HR: 0.50, 95% CI [0.44–0.57], p &lt; 0.00001) in lung cancer patients undergoing ICIs. Subgroup analysis revealed that OS was significantly longer in patients who developed dermatological (OS: HR: 0.53, 95%CI [0.42–0.65], p &lt; 0.00001), endocrine (OS: HR: 0.55, 95%CI [0.45–0.67], p &lt; 0.00001), and gastrointestinal irAEs (OS: HR: 0.58, 95%CI [0.42–0.80], p = 0.0009) than in those who did not. However, hepatobiliary, pulmonary, and high-grade (≥3) irAEs were not correlated with increased OS and PFS.ConclusionThe occurrence of irAEs in lung cancer patients, particularly dermatological, endocrine, and gastrointestinal irAEs, is a predictor of enhanced ICIs efficacy.

scholarly journals The efficacy and safety of combined immune checkpoint inhibitors (nivolumab plus ipilimumab): a systematic review and meta-analysis

2020 ◽  
Author(s):  
Lihu Gu ◽  
Shengnan Li ◽  
Nannan Du ◽  
Qigu Yao ◽  
Xiaojun Fu ◽  
...  
Keyword(s):  
Adverse Events ◽  
Immune Checkpoint ◽  
Immune Checkpoint Inhibitors ◽  
Checkpoint Inhibitors ◽  
Meta Analysis ◽  
Objective Response ◽  
Cochrane Library ◽  
Effect Estimate ◽  
Grade 3 ◽  
Combined Immunotherapy

Abstract Background: Currently, nivolumab and ipilimumab are the most widely used immune checkpoint inhibitors. We performed a meta-analysis to evaluate the efficacy and treatment-related adverse events (TRAEs) of nivolumab-ipilimumab combination therapy in cancer treatment. Methods: We examined data from PubMed, Web of science, EBSCO and Cochrane library. Eleven articles fulfilled our criteria, which we divided into 3 groups; nivolumab and ipilimumab versus ipilimumab, nivolumab and ipilimumab versus ipilimumab and nivolumab 1 mg/kg plus ipilimumab 3 mg/kg (N1I3) versus nivolumab 3 mg/kg plus ipilimumab 1 mg/kg (N3I1). We measured the complete response (CR), partial response (PR), objective response rate (ORR) and TRAEs in any grade and grade 3 or higher. Results: Compared with ipilimumab alone, the combined immunotherapy had better CR (RR: 4.89, p <0.001), PR (RR: 2.75, p <0.001), and ORR (RR: 3.31, p <0.001). The overall effect estimate favored the combined immunotherapy group in terms of the ORR (RR: 1.40, p <0.001) and PR (RR: 1.50, p <0.001) than nivolumab alone. Finally, N1I3 showed better PR (RR: 1.35, p =0.006) and ORR (RR: 1.21, p =0.03) than N3I1. The incidence of any TRAEs was similar between the both groups (RR: 1.05, p =0.06). However, the incidence of serious adverse events (grade 3 or higher) were lower in group N3I1 than group N1I3 (RR: 1.51, p <0.001). Conclusion: This meta-analysis showed that the curative effect of nivolumab plus ipilimumab was better than that of ipilimumab or nivolumab monotherapy. In the combination group, N1I3 combination was more effective than N3I1. Although the side effects were slightly increased in group N1I3, the overall safety was acceptable.

scholarly journals IMMU-04. IMMUNE-RELATED ADVERSE EVENTS STRONGLY PREDICT SUPERIOR OUTCOMES IN BRAIN METASTASES PATIENTS RECEIVING LOCAL TREATMENT AND IMMUNE CHECKPOINT INHIBITORS

2020 ◽  
Vol 22 (Supplement_2) ◽  
pp. ii105-ii105
Author(s):  
Alexander Hulsbergen ◽  
Asad Lak ◽  
Yu Tung Lo ◽  
Nayan Lamba ◽  
Steven Nagtegaal ◽  
...  
Keyword(s):  
Sensitivity Analysis ◽  
Adverse Events ◽  
Brain Metastases ◽  
Immune Checkpoint ◽  
Immune Checkpoint Inhibitors ◽  
Checkpoint Inhibitors ◽  
Local Treatment ◽  
Sensitivity Analyses ◽  
Immortal Time Bias ◽  
The Brain

Abstract INTRODUCTION In several cancers treated with immune checkpoint inhibitors (ICIs), a remarkable association between the occurrence of immune-related adverse events (irAEs) and superior oncological outcomes has been reported. This effect has hitherto not been reported in the brain. This study aimed to investigate the relation between irAEs and outcomes in brain metastases (BM) patients treated with both local treatment to the brain (LT; i.e. surgery and/or radiation) and ICIs. METHODS This study is a retrospective cohort analysis of patients treated for non-small cell lung cancer (NSCLC) BMs in a tertiary institution in Boston, MA. Outcomes of interest were overall survival (OS) and intracranial progression-free survival (IC-PFS), measured from the time of LT. Sensitivity analyses were performed to account for immortal time bias (i.e., patients who live longer receive more cycles of ICIs and thus have more opportunity to develop an irAE). RESULTS A total of 184 patients were included; 62 (33.7%) were treated with neurosurgical resection and 122 (66.3%) with upfront brain radiation. irAEs occurred in 62 patients (33.7%). After adjusting for lung-Graded Prognostic Assessment, type of LT, type of ICI, newly diagnosed vs. recurrent BM, BM size and number, targetable mutations, and smoking status, irAEs were strongly associated with better OS (HR 0.33, 95% CI 0.19 – 0.58, p &lt; 0.0001) and IC-PFS (HR 0.41; 95% CI 0.26 – 0.65; p = 0.0001). Landmark analysis including only patients who received more than 3 cycles of ICI (n = 133) demonstrated similar results for OS and IC-PFS, as did sensitivity analysis adjusting for the number of cycles administered (HR range 0.36 – 0.51, all p-values &lt; 0.02). CONCLUSIONS After adjusting for known prognostic factors, irAEs strongly predict superior outcomes after LT in NSCLC BM patients. Sensitivity analysis suggests that this is unlikely due to immortal time bias.

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