Efficacy Of Immune Checkpoint Inhibitor Therapy Research Articles

Adverse Events of PD-1, PD-L1, CTLA-4, and LAG-3 Immune Checkpoint Inhibitors: An Analysis of the FDA Adverse Events Database.

This study aimed to identify the 25 most prevalent adverse events (AEs) associated with FDA-approved immune checkpoint inhibitors (ICIs)-specifically, PD-1, PD-L1, CTLA-4, and LAG-3 inhibitors-using data from the FDA Adverse Events Reporting System (FAERS), a publicly available repository of reported drug adverse events, and AERSMine, an open-access pharmacovigilance tool, to investigate these adverse events. For PD-1 inhibitors, the most common AEs were diarrhea, fatigue, and pyrexia, with notable instances of neutropenia and hypothyroidism, particularly with toripalimab and dostarlimab. PD-L1 inhibitors also frequently caused pyrexia, diarrhea, and fatigue, with interstitial lung disease and hypothyroidism showing a class effect, and drug-specific AEs such as hepatotoxicity and chills. CTLA-4 inhibitors predominantly resulted in diarrhea and colitis, with ipilimumab frequently causing pyrexia and rash, while tremelimumab exhibited unique AEs such as biliary tract infection. The LAG-3 inhibitor relatlimab reported fewer AEs, including pyrexia and pneumonia. Rare but significant AEs across all inhibitors included myocarditis and myasthenia gravis. This study provides a detailed overview of the 25 most common AEs associated with ICIs, offering valuable insights for clinical decision-making and AE management. Further research is necessary to elucidate the mechanisms underlying these AEs and to develop targeted interventions to enhance the safety and efficacy of ICI therapy in patients with cancer.

Examining the Application of Immune Checkpoint Inhibitors in Cancer Immunotherapeutic: A Systematic Review

To define the clinical utilizations, effectiveness, and challenges of immune checkpoint inhibitors (ICIs) in cancer treatments. A systematic review of the literatures regarding the efficacy of ICI therapy in the management of advanced melanoma, non-small cell lung cancer (NSCLC), and hepatocellular carcinoma (HCC) was performed. The effectiveness and safety profile of anti-PD-1 (Nivolumab, Pembrolizumab, and Cemiplimab /PD-L1 (Atezolizumab, Durvalumab, and Avelumab), anti-CTLA-4 (Ipilimumab) drugs were measured and evaluated in several clinical trials via treatment-related indicators (response rate, survival rate, progression-free survival, overall survival, median overall survival, and treatment-related adverse events). Considering the increasing use of ICI therapy in days to come due to its great potential, this review can be valuable in assisting professional students or even oncologists to have a general overview of the role of ICIs in cancer immunotherapeutic, particularly targets the advanced melanoma, NSCLC, and HCC.

Validity and utility of blood tumor mutational burden (bTMB) is dependent on circulating tumor DNA (ctDNA) shed: SCRUM-Japan MONSTAR-SCREEN

BackgroundThe tumor mutational burden (TMB) is a genomic biomarker associated with the benefits from immune checkpoint inhibitors (ICIs) cancer therapy. An elevated blood TMB (bTMB) in circulating tumor DNA (ctDNA) represents a compelling non-invasive diagnostic approach; however, the validity and utility of this emerging biomarker across cancer types have not been examined. Patient and methodsThe blood and tissue TMB was measured in a large pan-tumor clinical cohort and the MONSTAR-SCREEN observational study (UMIN000036749) using the FoundationOne Liquid CDx and FoundationOne CDx assays. A subset of the MONSTAR-SCREEN cohort was used to evaluate the association between the bTMB and the efficacy of ICIs therapy. ResultsThe majority of cancer types showed similar prevalence of TMB≥10 mutations/megabase and bTMB≥10. There was high concordance between bTMB and TMB in blood and tissue biopsy from the same patient when the plasma tumor fraction (TF) was at least 1% (Spearman's coefficient 0.74 and > 80% sensitivity to detect TMB-high). High microsatellite instability (MSI-H) was detected by ctDNA with 79% sensitivity when TF was at least 1%, but only 6% sensitivity when TF was <1%. Among patients with bTMB≥14 and elevated TF≥10% treated with ICIs, there was a trend toward a longer progression-free survival and overall survival compared with patients with bTMB<14 and elevated TF≥10% (HR, 0.62 [95%CI, 0.39–0.98]; p = 0.04 and HR, 0.60 [95%CI, 0.34-1.1]; p = 0.05). ConclusionsOur findings suggest that an elevated bTMB is correlated with elevated TMB and represents a pragmatic biomarker for assessing ICIs benefits. The utility of this biomarker is likely to be associated with high TF levels, informing future prospective investigations.

The correlation between the influencing factors and efficacy of immune checkpoint inhibitor therapy: an umbrella meta-analysis of randomized controlled trials

Objective We performed an umbrella meta-analysis to explore the factors that influence the efficacy of immune checkpoint inhibitor (ICI) therapy. Materials and methods We systematically searched three databases (PubMed, Web of Science and Embase) up to 20 February 2023. Extracting the effect size and 95% confidence intervals for overall survival (OS), progression-free survival (PFS) and the objective response rate (ORR). Results A total of 65 articles were included. We identified the following factors that benefit ICI therapy: smoking status (PFS: 0.72 [0.62, 0.84], p < .001), chemotherapy (PFS: 0.68 [0.58, 0.79], p < .001), expression of programmed cell death ligand 1(PD-L1) (≥1%, ≥5%, or ≥10%) (≥1%: 0.76 [0.71,0.82], p < .001; ≥5%: 0.62 [0.52, 0.74], p < .001; ≥10%: 0.42 [0.30, 0.59], p < .001). We also identified three adverse factors: epidermal growth factor receptor mutations (OS: 1.57 [1.06, 2.32], p = .02), with liver metastases (OS: 1.16 [1.02,1.32], p = .02) and antibiotics (OS: 3.13 [1.25,7.84], p < .001; PFS: 2.54 [1.38, 4.68], p = .003). Conclusion The results of this umbrella meta-analysis first supported pre-existing understandings of the relationship between beneficial and adverse factors with the efficacy of ICI therapy. In addition, the overexpression of PD-L1 may adversely affect patients.

Associations of immune checkpoint inhibitor therapy efficacy with clinical parameters and tumor‑infiltrating CD68‑positive cell counts in patients with EGFR‑mutant non‑small cell lung cancer.

Immune checkpoint inhibitor (ICI) therapy has been less effective in patients with non-small cell lung cancer (NSCLC) harboring epidermal growth factor receptor (EGFR) mutations than in patients with EGFR wild-type NSCLC. This retrospective study was conducted to investigate the associations of clinical parameters with the efficacy of ICI therapy in patients with EGFR-mutant NSCLC. Clinical information was retrieved from the medical charts, and immunohistochemical analysis was performed in some cases to determine the tumor-infiltrating CD68-positive cell count. Data from 46 patients were included in the analysis. The median (95% confidence interval) progression-free survival and overall survival from the initiation of ICI therapy was 1.4 months (1.0-1.7 months) and 6.4 months (3.9-19.0 months), respectively. Analysis using a Cox proportional hazards model revealed that tumor programmed death-ligand 1 expression was associated with the overall survival of patients with EGFR-mutant NSCLC after ICI treatment. The tumor-infiltrating CD68-positive cell count was evaluated in 11 patients. Comparison using the log-rank test revealed that the progression-free survival time after ICI treatment was longer in the patients with lower tumor-infiltrating CD68-positive cell counts than those with higher tumor-infiltrating CD68-positive cell counts. The present analysis demonstrated that PD-L1 expression and the tumor-infiltrating CD68-positive cell count may be associated with the efficacy of ICI therapy in patients with NSCLC harboring EGFR mutations.

Coordination of Single-cell and Bulk RNA Sequencing to Construct a Cuproptosis-related Gene Prognostic Index for Endometrial Cancer Prognosis, Immune Microenvironment Infiltration, and Immunotherapy Treatment Options.

Background: This study aims to identify molecular subtypes and develop a cuproptosis-related gene prognostic index (CRGPI) for endometrial cancer (EC), in addition to outlining the immune features and the efficacy of immune checkpoint inhibitor (ICI) therapy in CRGPI-defined groups of EC. Methods: Between malignant and normal cells distinguished from single-cell RNA sequencing data GSE154763 dataset, the difference in KEGG pathways and cuproptosis-related gene (CRG) scores was intensively investigated. On the basis of TCGA dataset (n=492), CRGs were used to identify two distinct molecular subtypes. Using the Cox regression method, a CRGPI was constructed and externally validated with the IMvigor210 dataset (n=348) and GSE78220. Then, the molecular and immune characteristics and the efficacy of ICI therapy in subgroups defined by CRGPI were investigated. Results: Compared to normal cells, the expression of the TCA cycle and CRGs genes was significantly higher in malignant cells. The CRGPI was established on the premise of ATF5, FBXO46, P2RX4, SMARCD3, DAPK3, and C1orf53. Comprehensive results demonstrated a correlation between a low CRGPI score and better overall survival, younger age, early stage, immune cells and functions activation, high tumor mutation burden and high microsatellite instability, as well as better benefit from ICI therapy, and its significance for forecasting immunotherapeutic effects was verified as well (IMvigor210 cohort: HR, 1.358; 95% CI, 1.047, 1.761; p=0.02; GSE78220 cohort: HR, HR = 3.857, 95% CI, 1.009, 14.74; p=0.034). CRGPI anticipated the immunotherapy medication. Conclusions: CRGPI is a prospective biomarker to estimate the prognosis, immune and molecular characteristics, and treatment benefit of immunotherapy in EC.

A pathway-based mutation signature to predict the clinical outcomes and response to CTLA-4 inhibitors in melanoma

Immune checkpoint inhibitor (ICI) therapy has become a powerful clinical strategy for treating melanoma. The relationship between somatic mutations and the clinical benefits of immunotherapy has been widely recognized. However, the gene-based predictive biomarkers are less stable due to the heterogeneity of cancer at the individual gene level. Recent studies have suggested that the accumulation of gene mutations in biological pathways may activate antitumor immune responses. Herein, a novel pathway mutation signature (PMS) was constructed to predict the survival and efficacy of ICI therapy. In a dataset of melanoma patients treated with anti-CTLA-4, we mapped the mutated genes into the pathways and then identified seven significant mutation pathways associated with survival and immunotherapy response, which were used to construct the PMS model. According to the PMS model, the patients in the PMS-high group showed better overall survival (hazard ratio (HR) = 0.37; log-rank test, p < 0.0001) and progression-free survival (HR = 0.52; log-rank test, p = 0.014) than those in the PMS-low group. The PMS-high patients also showed a significantly higher objective response rate to anti-CTLA-4 therapy than the PMS-low patients (Fisher’s exact test, p = 0.0055), and the predictive power of the PMS model was superior to that of TMB. Finally, the prognostic and predictive value of the PMS model was validated in two independent validation sets. Our study demonstrated that the PMS model can be considered a potential biomarker to predict the clinical outcomes and response to anti-CTLA-4 therapy in melanoma patients.

Immune Checkpoint Inhibitors in Patients With Cancer and Infection by Hepatitis B or C Virus: A Perspective Through the Results of a European Survey

IntroductionPatients with cancer and hepatitis B virus (HBV) or hepatitis C virus (HCV) infection are underrepresented in several clinical trials testing immune checkpoint inhibitors (ICIs). Consequently, safety and efficacy of ICI therapy in this population have not been completely defined. We aimed to evaluate the attitudes of oncologists on this topic. MethodsWe conducted a 14-item European anonymous online survey. ResultsPhysicians from 56 oncology departments (26 from Italy, 15 from France, and 15 from Spain) took part in the survey. They mainly used to prescribe ICIs for treating patients with lung cancer, melanoma, and renal cell carcinoma. Of them, 95% recognized the need for specific guidelines addressing the management of patients with cancer and HBV or HCV treated with ICIs. Just 63% of the respondents screened patients for HBV and HCV status before ICIs initiation, although the risk of immune-related hepatotoxicity or viral reactivation was a major concern for most of them. Only 9% of the surveyed oncologists considered HBV and HCV infection a major exclusion criterion for receiving ICIs. Furthermore, 29% of the respondents would start a prophylactic treatment of active infection at ICIs initiation. ConclusionsICIs administration in patients with cancer and HBV or HCV infection is of concern for most of the surveyed European oncologists. Nonetheless, active screening and treatment of viral hepatitis should be improved. Data in this specific setting are needed for an evidence-based management and should be generated by broadening inclusion criteria of clinical trials to allow the enrollment of patients with HBV and HCV.

SMO mutation predicts the effect of immune checkpoint inhibitor: From NSCLC to multiple cancers

The emergence of immune checkpoint inhibitors (ICIs) is one of the most promising breakthroughs for the treatment of multiple cancer types, but responses vary. Growing evidence points to a link between developmental signaling pathway-related genes and antitumor immunity, but the association between the genomic alterations in these genes and the response to ICIs still needs to be elucidated. Clinical data and sequencing data from published studies and our cohort were collected to analyze the association of the mutation status of SMO with the efficacy of ICI therapy in the non-small cell lung cancer (NSCLC) cohort and the pan-cancer cohort. Furthermore, the correlation between SMO mutation and immunotherapeutic biomarkers such as immune cell infiltration, immune-related genes, and underlying signaling pathways was analyzed. Three SMO mutant plasmids were transfected into cells to explore the SMO mutation status in the context of its expression and cell growth. In the NSCLC discovery cohort, the median progression-free survival in the SMO mutant (SMO_MUT) was longer than that in the wild type (SMO_WT) (23.0 vs. 3.8months, adjusted p=0.041). This finding was further confirmed in the NSCLC validation cohort (8.7 vs. 5.1months, adjusted p=0.013). In the pan-cancer cohort (n=1,347), a significant overall survival advantage was observed in patients with SMO mutations [not reached (NR) vs. 18months, adjusted p=0.024]. In the subgroup analysis, the survival advantage of SMO_MUT against SMO_WT was prominent and consistent across genders, ages, treatment types, cancer types, and the tumor mutation burden (TMB) status (all p interaction>0.05). In an in vitro experiment, we found that both the mutant and wild-type plasmids can promote the expression of SMO, but the mutant plasmid had lower SMO mRNA and protein levels than the wild type. In CCK-8 experiments, we found that SMO_MUT plasmids can improve the growth of Calu-1 and PC-9 cells, but this capability varied between different mutations and cells. Upon further exploration, the SMO mutation status was found to be related to a higher TMB, more neoantigen load, more DNA damage repair (DDR) mutations, higher microsatellite instability (MSI) score, and higher CD8+ T-cell infiltration. The SMO mutation status is an independent prognostic factor that can be used to predict better clinical outcomes of ICI treatment across multiple cancer types.

Effector Th1 cells under PD-1 and CTLA-4 checkpoint blockade abrogate the upregulation of multiple inhibitory receptors and by-pass exhaustion.

Immune checkpoint inhibitor (ICI) immunotherapy relies on the restoration of T-cell functions. The ICI receptors are not only found on exhausted T cells but also upregulated upon activation and reach high levels on effector T cells. In an ex vivo model, this study explored the consequences of PD-1 and cytotoxic T-lymphocyte antigen (CTLA-4) blockade applied during specific time frames of T-cell stimulation that coincide with distinct functional phases in type 1 helper T (Th1) cells. When applied at an early stimulation stage, the checkpoint blockade interfered with the upregulation of multiple inhibitory receptors such as PD-1, LAG3, TIM-3 and CTLA-4. Moreover, extension of the blockade period restricted the hyporesponsiveness in T cells. Alternatively, a short-term ICI treatment was advantageous when applied at late time frames of Th1 cell stimulation. Here, a transition phase from effector to exhausted state, which coincided with the late time frames of Th1 stimulation, was clearly determined together with the transcriptomics data demonstrating the initiation of significant alterations in metabolic pathways, genetic information processes, effector and exhaustion specific pathways. Applied in this transition phase, PD-1 and/or CTLA-4 blockade downregulated the inhibitory receptors which were already present on the effector Th1 cells, potentially through endocytic pathways. Therefore, the efficacy of ICI therapy was modulated by the functional status of T cells and can be improved by modifying the timing and duration of PD-1 and CTLA-4 blockade. In conclusion, the ICI therapy not only supports the reactivation of T cells but can also constrain de novo exhaustion.

Immune checkpoint inhibitor-related pneumonitis in non-small cell lung cancer: A review.

Immune checkpoint inhibitors (ICIs) have shown definite therapeutic effects in various types of cancers, especially non-small cell lung cancer (NSCLC). However, ICIs have unique side effects, called immune-related adverse events (irAEs), which can occur in various systems throughout the body. Among such irAEs, immune checkpoint inhibitor-related pneumonitis (ICI-P) is a fatal adverse reaction. In this review, we discussed the risk factors, pathogenesis, clinical characteristics, radiological manifestations, pathological features, diagnosis, grading, and management of ICI-P in NSCLC and the relationship between ICI-P and the efficacy of ICI therapy. In addition, we discussed the predictive factors for ICI-P. This review will play a crucial role in the prediction, evaluation, and management of ICI-P for widespread application of immunotherapy.

Relationship between ATOH1 and tumor microenvironment in colon adenocarcinoma patients with different microsatellite instability status

BackgroundColon adenocarcinoma (COAD) is one of the major varieties of malignant tumors threatening human health today. Immune checkpoint inhibitors (ICIs) have recently begun to emerge as an effective option for the treatment of COAD patients, but not all patients can benefit from ICI treatment. Previous studies have suggested that ICIs boast significant clinical effects on patients with microsatellite instability-high (MSI-H), while conversely patients with microsatellite-stable/microsatellite instability-low (MSS/MSI-L) have shown limited response.MethodsWe used ATAC-seq, RNA-seq, and mutation data from The Cancer Genome Atlas Colon adenocarcinoma (TCGA-COAD) cohort to perform multi-omics differential analysis on COAD samples with different MSI statuses, then further screened genes by additionally combining these results with survival analysis. We analyzed the effects of the screened genes on the tumor microenvironment and immunogenicity of COAD patients, and subsequently determined their influence on the efficacy of ICIs in COAD patients using a series of predictive indexes.ResultsTwelve genes were screened in the TCGA-COAD cohort, and after the combined survival analysis, we identified ATOH1 as having significant effects. ATOH1 is characterized by high chromatin accessibility, high expression, and high mutation in COAD patients in the MSI-H group. COAD patients with high ATOH1 expression are associated with a better prognosis, unique immune microenvironment, and higher efficacy in ICI treatment. Enrichment analysis showed that COAD patients with high ATOH1 expression displayed significant upregulation in their humoral immunity and other related pathways.ConclusionsWe speculate that ATOH1 may influence the efficacy of ICIs therapy in patients with COAD by affecting the immune microenvironment and immunogenicity of the tumor.

Abstract 5537: MGA mutation status affect tumor immunomicroenvironment and predict the effect of immune check point inhibitor: From NSCLC to pan-cancers analysis

Abstract Background: A critical and challenging process in immunotherapy is to identify cancer patients who could benefit from immune checkpoint inhibitors (ICIs). Exploration of predictive biomarkers could help to maximize the clinical benefits. Thus, this research aimed to explore the underlying association between MGA mutation and cancer immunotherapy in pan-cancers. Methods: Clinical data and sequencing data from published studies were collected and consolidated to analyze the association between MGA mutation status and efficacy of ICI therapy in NSCLC and pan-cancers cohort respectively. To better understand the role of MGA in cancer immunotherapy, the correlation between MGA and several immunotherapeutic biomarkers (TMB, NAL and MSI) was investigated. Furthermore, the correlation between MGA and tumor immune-microenvironment, such as immune cell infiltration, immune related genes, and underlying signaling pathways were analyzed. Results: MGA-MUT was enriched in patients responding to ICI therapy. In the pool NSCLC cohort (N = 262), significant differences were detected between MGA-MUT and MGA_WT patients regarding objective response rate (ORR, 52.2% vs 23.9%, p= 0.006), disease control rate (DCR,86.9% vs. 61.2%, p = 0.013), durable clinical benefit (DCB, 69.6% versus 36.7%, p= 0.003), and mPFS in MGA-MUT was 15.1 months much longer than 4.3 months in the MGA_WT (adjusted p=0.008). In the pool pan-cancers cohort (N = 1576), significant overall survival advantage was observed in MGA-MUT patients (HR = 0.67 [95%CI, 0.51 to 0.88], adjusted p= 0.007). In subgroup analysis, the survival advantage of MGA-MUT vs. MGA-WT was prominent and consistent across gender, drug type, cancer type. But the survival advantage was dramatically different between two age groups. In younger group(age≤60), the survival benefit receiving ICI treatment was prominent in MGA-MUT patients compared with Wildtype (mOS not reach [NR] vs 19 m, HR = 0.48 [95% CI 0.31-0.73], adjusted p = 0.002), but the discrepancy was not recurrent in the elders (age&amp;gt;60). In further exploring, we found that MGA mutation status was close connected higher tumor mutation burden, more neoantigen load, and higher MSI score. The CD8+ T cell and NK cell infiltration in MGA-MUT tumors were higher than its counterpart. Further GSEA analysis revealed enhanced anti-tumor immunity in MGA-MUT tumor, especially the cytosolic DNA sensing pathway recurrent in multiple cancer types. Conclusions: This research investigated the immunotherapeutic value of MGA in pan-cancers, indicating that MGA-MUT could serve as a potential predictive biomarker for immune checkpoint inhibitors, and providing preliminary evidence regarding the function of MGA mutation and its role in anti-tumor immunity. Citation Format: Wenxiang Ji, Shun Lu. MGA mutation status affect tumor immunomicroenvironment and predict the effect of immune check point inhibitor: From NSCLC to pan-cancers analysis [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 5537.

XIRP2 mutation as an indicator stratified patients benefit from immune checkpoint inhibitors in NSCLC.

e14573 Background: Immune checkpoint inhibitors (ICIs), targeting the programmed cell death 1 (PD-1), programmed cell death ligand 1 (PD-L1) or cytotoxic T lymphocyte-associated protein 4 (CTLA-4) have demonstrated impressive anti-tumor efficacy in multiple tumors, particularly non-small cell lung cancer (NSCLC). However, only a minority of patients could clinically benefit from the ICIs. Therefore, it is of vital clinical significance to explore underlying predictive biomarkers to identify to identify these most potentially ICIs-benefitable patients. Xin-actin binding repeat containing 2 (XIRP2) encodes an actin-cross-linking protein that was previously reported to be significantly mutated in breast cancer metastases. However, its role in lung cancer immunotherapy remains unknown. Here we aimed to explore the association between XIRP2 and ICIs. Methods: 165 NSCLC patients from three public immunotherapy cohorts (Hellmann 2018, Miao 2018, and Rizvi 2015 cohort) were included to analyze the association between XIRP2 gene mutation and efficacy of ICI therapy. Genomic, survival and mRNA data of NSCLC patients from the Cancer Genome Atlas (TCGA) database was used to explore the potential mechanisms of anti-tumor immunity. Results: NSCLC patients with XIRP2 mutation were significantly associated with better PFS (HR = 0.4; 95% CI, 0.21-0.75; P = 0.003) after ICIs therapy, compared with those with wide-type XIRP2. XIRP2 mutation were associated with increased TMB ( P &lt; 0.001). In the multivariable Cox proportional hazards regression model adjusted by smoking status, PD-L1 expression and TMB, the association between XIRP2 mutation and PFS remained significant (HR = 0.4; 95% CI, 0.20-0.81; P = 0.011). In contrast, no association between XIRP2 mutation and OS (LUAD: P = 0.43 ; LUSC: P = 0.17) or PFS (LUAD: P = 0.54; LUSC: P = 0.19) was observed in TCGA datasets, suggesting that XIRP2 mutation may be a predictive but not a prognostic factor in ICI treatment for NSCLC patients. Based on CIBERSORT-inferred tumor infiltrating lymphocytes from TCGA, XIRP2 mutation was significantly associated with higher M1 macrophage, CD8+ T cell, as well as lower Treg cell. Moreover, XIRP2 mutation was associated with increased TMB ( P &lt; 0.001) and neoantigen load ( P &lt; 0.001) in TCGA. Conclusions: Our results demonstrated that XIRP2 mutation is an underlying classifier that could stratify patients with NSCLC for ICIs. The role of XIRP2 in immunotherapy is needed to be further studied.

ANK2 mutation as an indicator stratified patients benefit from immune checkpoint inhibitors in NSCLC.

e21080 Background: Immune checkpoint inhibitors (ICIs), targeting the programmed cell death 1 (PD-1), programmed cell death ligand 1 (PD-L1) or cytotoxic T lymphocyte-associated protein 4 (CTLA-4) have demonstrated impressive anti-tumor efficacy in multiple cancers, in particular with non-small cell lung cancer (NSCLC). However, only a minority of patients could benefit from ICIs. Therefore, investigating predictive biomarkers of ICIs is important to identify the target population that derives the best therapeutic benefit. ANK2 encodes ankyrin-2, which plays a crucial role in cell development. Studies have shown a significant correlation between ANK2 expression levels and clinical outcomes in gastrointestinal cancers and pancreatic cancer. However, its role in lung cancer immunotherapy remains unknown. Here we aimed to demonstrate the association between ANK2 and ICIs. Methods: 165 patients from three public immunotherapy cohorts (Hellmann 2018, Miao 2018, and Rizvi 2015 cohort) were included to analyze the association between ANK2 gene mutation and efficacy of ICI therapy. Genomic, survival and mRNA data of NSCLC patients from the Cancer Genome Atlas (TCGA) database was used to explore the potential mechanisms of anti-tumor immunity. Results: Patients with ANK2 mutation were significantly associated with better PFS (HR = 0.28; 95% CI, 0.15-0.53; P &lt; 0.001), objective response rate (ORR, 69.0% vs 24.3%; P &lt; 0.001) and durable clinical benefit (DCB, 72.4% vs 41.9%; P = 0.003) compared with those with wide-type in NSCLC. ANK2 mutation were associated with increased TMB (P &lt; 0.001). In the multivariable Cox proportional hazards regression model adjusted by the smoking status, PD-L1 expression and TMB, the association between ANK2 mutation and PFS remained significant (HR = 0.28; 95% CI, 0.20-0.82; P = 0.012).In TCGA, no association between ANK2 mutation and OS (LUAD: P =0.27 ; LUSC: P = 0.39) or PFS (LUAD: P = 0.21; LUSC: P = 0.63) was observed, suggesting that ANK2 mutation may be a predictive but not a prognostic factor in ICI treatment for NSCLC patients. Based on CIBERSORT-inferred tumor infiltrating lymphocytes from TCGA, ANK2mutation was significantly associated with higher CD8+ T cells, higher M1 macrophage, and lower M2 macrophage. Moreover, ANK2 mutation was associated with increased TMB (P &lt; 0.001) and neoantigen load (P &lt; 0.001) in TCGA. In addition, GSEA analysis revealed that ANK2 mutation was correlated with upregulated DNA damage repair (DDR) signaling pathway in LUAD. Conclusions: Our results demonstrated that ANK2 mutation is an independent classifier that could stratify patients with NSCLC for ICIs. The role of ANK2 in immunotherapy is needed to be further studied.

Slit mutation as an indicator stratified patients benefit from immune checkpoint inhibitors in NSCLC.

e14572 Background: Immune checkpoint inhibitors (ICIs), targeting the programmed cell death 1 (PD-1), programmed cell death ligand 1 (PD-L1) or cytotoxic T lymphocyte-associated protein 4 (CTLA-4) have demonstrated impressive anti-tumor efficacy in multiple tumors, particularly non-small cell lung cancer (NSCLC). However, only a minority of patients could clinically benefit from the ICIs. Therefore, it is of vital clinical significance to explore underlyingpredictive biomarkers to identify to identify these most potentially ICIs-benefitable patients. Slits (Slit1, 2 and 3) are highly conserved secreted glycoproteins that play important roles in tumorigenesis, including cancer cell proliferation, motility and angiogenesis. However, its role in lung cancer immunotherapy remains unknown. Here we aimed to explore the association between SLIT and ICIs. Methods: 165 NSCLC patients from three public immunotherapy cohorts (Hellmann 2018, Miao 2018, and Rizvi 2015 cohort) were included to analyze the association between SLIT gene mutation and efficacy of ICI therapy. Genomic, survival and mRNA data of NSCLC patients from the Cancer Genome Atlas (TCGA) database was used to explore the potential mechanisms of anti-tumor immunity. Results: NSCLC patients with SLIT mutation were significantly associated with better PFS (HR = 0.27; 95% CI, 0.14-0.52; P &lt; 0.001), objective response rate (ORR, 63.3% vs 25.2%; P &lt; 0.001) and durable clinical benefit (DCB, 86.7% vs 63.0%; P = 0.048) after ICIs therapy, compared with those with wide-type SLIT. SLIT mutation were associated with increased TMB ( P &lt; 0.001). In the multivariable Cox proportional hazards regression model adjusted by smoking status, PD-L1 expression and TMB, the association between SLIT mutation and PFS remained significant (HR = 0.38; 95% CI, 0.19-0.77; P = 0.007). In contrast, no association between SLIT mutation and OS (LUAD: P = 0.57 ; LUSC: P= 0.1) or PFS (LUAD: P = 0.71; LUSC: P = 0.55) was observed in TCGA datasets, suggesting that SLIT mutation may be a predictive but not a prognostic factor in ICI treatment for NSCLC patients. Based on CIBERSORT-inferred tumor infiltrating lymphocytes from TCGA, SLIT mutation was significantly associated with higher naive B cell, plasma B cell, activated memory CD4+ T cell, CD8+ T cell, as well as lower M2 macrophage and Treg cell. Moreover, SLIT mutation was associated with increased TMB ( P &lt; 0.001) and neoantigen load ( P &lt; 0.001) in TCGA. In addition, GSEA analysis revealed that SLIT mutation was correlated with upregulated DNA damage repair (DDR) signaling pathway and activation of NF-κB in B-cell. Conclusions: Our results demonstrated that SLIT mutation is an underlying classifier that could stratify patients with NSCLC for ICIs. The role of SLIT in immunotherapy is needed to be further studied.

NPAP1 mutation as an indicator stratified patients benefit from immune checkpoint inhibitors in NSCLC.

e14574 Background: Immune checkpoint inhibitors (ICIs), targeting the programmed cell death 1 (PD-1), programmed cell death ligand 1 (PD-L1) or cytotoxic T lymphocyte-associated protein 4 (CTLA-4) have demonstrated impressive anti-tumor efficacy in multiple tumors, particularly non-small cell lung cancer (NSCLC). However, only a minority of patients could clinically benefit from the ICIs. Therefore, it is of vital clinical significance to explore underlying predictive biomarkers to identify to identify these most potentially ICIs-benefitable patients. Nuclear pore associated protein 1 ( NPAP1) encodes an protein is associated with the nuclear pore complex and has been previously reported as a potential prognostic biomarker for laryngeal, colorectal and lung cancers. However, its role in lung cancer immunotherapy remains unknown. Here we aimed to explore the association between NPAP1 and ICIs. Methods: 165 NSCLC patients from three public immunotherapy cohorts (Hellmann 2018, Miao 2018, and Rizvi 2015 cohort) were included to analyze the association between NPAP1 gene mutation and efficacy of ICI therapy. Genomic, survival and mRNA data of NSCLC patients from the Cancer Genome Atlas (TCGA) database was used to explore the potential mechanisms of anti-tumor immunity. Results: NSCLC patients with NPAP1 mutation were significantly associated with better PFS (HR = 0.37; 95% CI, 0.19-0.71; P = 0.002), objective response rate (ORR, 54.2% vs 28.4%; P = 0.048) and durable clinical benefit (DCB, 75.0% vs 42.6%; P= 0.003) after ICIs therapy, compared with those with wide-type NPAP1. NPAP1 mutation were associated with increased TMB ( P &lt; 0.001). In the multivariable Cox proportional hazards regression model adjusted by smoking status, PD-L1 expression and TMB, the association between NPAP1 mutation and PFS remained significant (HR = 0.46; 95% CI, 0.23-0.92; P = 0.028). In contrast, no association between NPAP1 mutation and OS (LUAD: P = 0.24 ; LUSC: P = 0.94) or PFS (LUAD: P = 0.3; LUSC: P = 0.72) was observed in TCGA datasets, suggesting that NPAP1 mutation may be a predictive but not a prognostic factor in ICI treatment for NSCLC patients. Based on CIBERSORT-inferred tumor infiltrating lymphocytes from TCGA, NPAP1 mutation was significantly associated with higher activated memory CD4+ T cell and CD8+ T cell. Moreover, NPAP1 mutation was associated with increased TMB ( P &lt; 0.001) and neoantigen load ( P &lt; 0.001) in TCGA. Conclusions: Our results demonstrated that NPAP1 mutation is an underlying classifier that could stratify patients with NSCLC for ICIs. The role of NPAP1 in immunotherapy is needed to be further studied.

DYNC2H1 Mutation as an indicator stratified patients benefit from Immune Checkpoint Inhibitors in NSCLC.

e21052 Background: Immune checkpoint inhibitors (ICIs), targeting the programmed cell death 1 (PD-1), programmed cell death ligand 1 (PD-L1) or cytotoxic T lymphocyte-associated protein 4 (CTLA-4) have demonstrated impressive anti-tumor efficacy in multiple tumors, particularly non-small cell lung cancer (NSCLC). However, only a minority of patients could clinically benefit from the ICIs. Therefore, it is of vital clinical significance to explore underlying predictive biomarkers to identify to identify these most potentially ICIs-benefitable patients. Dynein cytoplasmic 2 heavy chain 1 (DYNC2H1) encodes a large cytoplasmic dynein protein that involved in intraflagellar transport. However, its role in lung cancer immunotherapy remains unknown. Here we aimed to explore the association between DYNC2H1 and ICIs. Methods: 165 NSCLC patients from three public immunotherapy cohorts (Hellmann 2018, Miao 2018, and Rizvi 2015 cohort) were included to analyze the association between DYNC2H1 gene mutation and efficacy of ICI therapy. Genomic, survival and mRNA data of NSCLC patients from the Cancer Genome Atlas (TCGA) database was used to explore the potential mechanisms of anti-tumor immunity. Results: NSCLC patients with DYNC2H1 mutation were significantly associated with better PFS (HR = 0.3; 95% CI, 0.14-0.64; P= 0.001), objective response rate (ORR, 65.0% vs 27.6%; P = 0.003) and durable clinical benefit (DCB, 75.0% vs 43.4%; P = 0.031) after ICIs therapy, compared with those with wide-type DYNC2H1. DYNC2H1 mutation were associated with increased TMB ( P &lt; 0.001). In the multivariable Cox proportional hazards regression model adjusted by smoking status, PD-L1 expression and TMB, the association between DYNC2H1 mutation and PFS remained significant (HR = 0.32; 95% CI, 0.14-0.73; P = 0.007). In contrast, no association between DYNC2H1 mutation and OS (LUAD: P = 0.97 ; LUSC: P = 0.34) or PFS (LUAD: P = 0.54; LUSC: P = 0.39) was observed in TCGA datasets, suggesting that DYNC2H1 mutation may be a predictive but not a prognostic factor in ICI treatment for NSCLC patients. Based on CIBERSORT-inferred tumor infiltrating lymphocytes from TCGA, DYNC2H1 mutation was significantly associated with higher CD8+ T cell. Moreover, DYNC2H1 mutation was associated with increased TMB ( P &lt; 0.001) and neoantigen load ( P &lt; 0.001) in TCGA. Conclusions: Our results demonstrated that DYNC2H1 mutation is an underlying classifier that could stratify patients with NSCLC for ICIs. The role of DYNC2H1 in immunotherapy is needed to be further studied.

Abstract P5-17-06: P38 kinase as a therapeutic target to reverse an immune suppressive tumor microenvironment in metastatic breast cancer

Abstract The immune suppressive tumor microenvironment (TME) in metastatic breast cancer (MBC) limits the benefits of immunotherapy with immune checkpoint inhibitors (ICIs). In particular, the primary TME drives the expansion and recruitment of immune suppressive myeloid cell populations, such as tumor-associated macrophages (TAMs) and myeloid-derived suppressor cells (MDSCs). Treatments targeting these populations can potentially improve the efficacy of ICI therapy. To that end, our published and new findings have revealed that the p38 Mitogen-Activated Protein Kinase (MAPK) contributes to the expansion and mobilization of TAMs and MDSCs. Further, we found that pharmacological blockade of p38 decreased metastasis and increased the levels of CD8+ T cells while decreasing TAMs in the primary TME. Depletion of PMN-MDSCs, a major MDSC subset, was accompanied by reduced TAM infiltration and phenocopied the anti-metastatic effects of p38 blockade. Next, we explored the impact of p38 blockade on the composition and functionality of the immune populations in the primary TME by using single-cell RNA-sequencing. We found that p38 blockade increased levels of Irf8+ monocytic populations, indicating a decrease in immune-suppressive properties of the TME. Notably, p38 blockade increased the expression of factors related to the activation of CD8+ cytotoxic T lymphocytes, i.e., Jchain, Icos, and Cd137. Thus, our data indicate that p38 blockade alters the immune landscape within the primary TME and favors an antitumor immune response. Our data also suggest that the p38 kinase controls the production of tumor-derived factors (TDFs) which facilitate the recruitment of those pro-tumor myeloid populations. Thus, we explored this p38-TDF-myeloid axis by using trans-well migration assays. We tested the migration of the monocyte-like cell line RAW 264.7 in response to tumor-conditioned media prepared from tumor cells treated with or without the p38 inhibitor, Ralimetinib. Our data showed that the migration of RAW 264.7 cells was significantly diminished towards the conditioned media from tumor cells treated with the p38 inhibitor or from tumor cells with a genetic inactivation of p38α by CRISPR/Cas9 compared to the corresponding controls. Altogether, our studies demonstrate that p38 kinase is a potential therapeutic target, which reshapes the immune suppressive contexture of TME in MBC to improve antitumor immunity. Citation Format: Priyanka Rajan, Justin Zonneville, Sean Colligan, Scott Abrams, Andrei Bakin. P38 kinase as a therapeutic target to reverse an immune suppressive tumor microenvironment in metastatic breast cancer [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr P5-17-06.

Efficacy of Immune Checkpoint Inhibitors in Rare Tumours: A Systematic Review.

BackgroundRare cancers, as defined by the European Union, occur in fewer than 15 out of 100,000 people each year. The International Rare Cancer Consortium defines rare cancer incidence as less than six per 100,000 per year. There is a growing number of reports of the efficacy of immune checkpoint inhibitor (ICI) therapy in patients with rare tumours, and hence, we conducted a comprehensive review to summarise and analyse the available literature.MethodsA literature search of PubMed was performed on January 31, 2021, using the following ICI names as keywords: ipilimumab, tremelimumab, cemiplimab, nivolumab, pembrolizumab, avelumab, atezolizumab, and durvalumab. Studies on patients with rare tumours who were being treated with ICIs were included. We plotted the overall response rate against the corresponding median survival across a variety of cancer types using linear regression.ResultsFrom 1,255 publications retrieved during the primary search, 62 publications were selected (with a total of 4,620 patients). Only four were randomised trials. A minority were first-line studies, while the remaining were studies in which ICIs were delivered as salvage therapy in pretreated patients. There was a good correlation between response rate and overall survival (Spearman R2 >0.9) in skin cancers, mesothelioma, and sarcomas.ConclusionsTreatment of advanced-stage rare tumours with ICI therapy was found to be associated with significant activity in some orphan diseases (e.g., Merkel cell carcinoma) and hepatocellular carcinoma. Several ongoing prospective clinical trials will expand the knowledge on the safety and efficacy of ICI therapy in patients with these rare cancers.