Journal of Immunotherapy最新文献

The correlation between triple-negative breast cancer (TNBC) and genes related to immunity and cancer stemness, particularly shared genes, remains unclear. This study aimed to investigate the correlation of immunity and cancer stemness with the molecular subtyping and survival rates in TNBC using bioinformatics approaches. Differential gene analysis was conducted to identify TNBC-associated differentially expressed genes (DEGs). Cancer stem cell (CSC)-related genes were obtained using weighted gene coexpression network analysis. Immune-related gene sets were retrieved from the literature. Venn analysis was performed to identify the shared DEGs between immunity and cancer stemness in TNBC. Cluster analysis and survival analysis based on the expression of these genes were conducted to identify TNBC subtypes with significant survival differences. A total of 5259 TNBC-associated DEGs, 2214 CSC-related genes, 1793 immune-related genes, and 44 shared DEGs between immunity and cancer stemness were obtained. Among them, 3 shared DEGs were closely associated with TNBC survival rates ( P <0.05). Cluster and survival analyses revealed that among 3 subtypes, cluster2 exhibited the best survival rate, and cluster3 showed the worst survival rate ( P <0.05). Dendritic cells were highly infiltrated in cluster2, while plasma cells and resting mast cells were highly infiltrated in cluster3 ( P <0.05). Genes shared by immunity and cancer stemness were capable of classifying TNBC samples. TNBC patients of different subtypes exhibited significant differences in immune profiles, genetic mutations, and drug sensitivity. These findings could provide new insights into the pathogenesis of TNBC, the immune microenvironment, and the selection of therapeutic targets for drug treatment.

The CheckMate-141 trial led to the approval of nivolumab in platinum-resistant metastatic/advanced squamous cell carcinomas of the head and neck (SCCHN). We evaluated the outcomes of SCCHN patients in Ontario, Canada, treated with nivolumab through retrospective review of the provincial treatment registry. Kaplan-Meier method was used to estimate overall survival (OS) and Cox regression to evaluate the prognostic effect of selected factors. Nivolumab was used as second-line therapy after disease relapse for curative-intent platinum chemotherapy (PC) (indication 1-I1), as second-line therapy post-PC in noncurative intent (indication 2-I2), and as first-line therapy in noncurative intent due to contraindication for PC (indication 3-I3). The median OS for patients treated with nivolumab was 5.8 months (95% CI: 4.5-7.3), and the 1-year OS was 28.4% (CI: 2.10-36.1). When patients with I3 were excluded to match inclusion criteria for CheckMate-141, median OS was 4.8 months (CI: 3.6-6.7) with 1-year OS of 21.8% (14.4-30.1). Patients with lower body surface area (BSA) (<1.81) had a median OS of 3.9 months (CI: 3.1-6.7) versus 9.0 months (CI: 6.5-14.8) in those with higher BSA, hazard ratio (HR)=0.12 (CI: 0.04-0.39, P <0.001). Patients receiving nivolumab for I1 had a median OS of 7.2 months (CI 3.8-9.8) versus 11.9 months (CI: 6.2-not reached) for I3, HR=1.73 (CI: 0.94-3.16). Patients receiving nivolumab for I2 had a median OS of 3.9 months (CI: 2.9-5.4) as compared with I3, HR=3.27 (CI: 1.80-5.94). Real-world analysis of patients with advanced/metastatic SCCHN in Ontario, Canada, treated with nivolumab demonstrates poorer median OS compared with CheckMate-141 trial. Lower BSA was a predictor of poorer median OS.

Immunosuppressants are increasingly being used in the clinic to manage immune-related adverse effects. Consequently, the incidence of secondary infections associated with immunosuppression is increasing. However, little is known about primary infections during immune checkpoint inhibitor (ICI) treatment without immunosuppressants. We aimed to evaluate primary infectious diseases during antiprogrammed death ligand-1 immunotherapy without immunosuppressants. We retrospectively screened medical records of 233 patients who underwent ICI treatment for advanced non-small cell lung cancer between January 2014 and May 2018 at National Cancer Center, Republic of Korea. Subsequently, we evaluated the clinical characteristics and treatment outcomes of selected patients hospitalized for potential infectious disease without immunosuppressive treatment (n=80). Eight cases (3.4%) were identified as bacterial pneumonia (n=5) and cellulitis, inflamed epidermoid cyst, and wound infection (n=1 each). The bacterial pathogens Streptococcus pneumoniae and Haemophilus influenzae were identified in 4 patients with pneumonia. The period between the start of ICI treatment and infection varied between 3 and 189 days (median, 24.5 days). Five (62.5%) patients were infected within a month after ICI treatment initiation. All patients were treated with empirical antibiotics and discharged without complications. The median progression-free and overall survival for ICI treatment was 11.5 and 25.5 months, respectively. Six patients experienced ICI-associated adverse effects postinfection: Herpes zoster infection (n=4) and pneumonitis (n=2). Infectious disease independent of immunosuppression is a rare, but possible event in patients with lung cancer receiving ICI treatment. Clinical awareness would enable prompt diagnosis of primary infection during immunotherapy.

The therapeutic landscape for patients with advanced or metastatic non-small cell lung cancer (NSCLC) is rapidly evolving due to advances in molecular testing and the development of new targeted therapies and immunotherapies. However, the efficacy of programmed death 1 (PD-1)/programmed death ligand 1 (PD-L1) inhibitors in advanced or metastatic patients with NSCLC whose tumors harbor BRAF V600E mutation, HER2/ERBB2 alteration, MET exon 14 skipping mutation, or RET rearrangement is not completely understood. A systematic literature review was performed to summarize evidence from clinical trials and observational studies on objective response rate, progression-free survival, and overall survival in patients whose tumors express these biomarkers and who were treated with PD-1/PD-L1 inhibitors. Searches of Embase, MEDLINE, conference abstracts, and a clinical trial registry identified a total of 12 unique studies: 4 studies included patients with BRAF V600E mutation, 6 studies included patients with HER2/ERBB2 alteration, 7 studies included patients with MET exon 14 skipping mutation, and 5 studies included patients with RET rearrangement. Across studies, there was heterogeneity in treatment and patient characteristics and a lack of reporting on many important predictive and prognostic factors, including treatment regimens, patients' line of therapy, and tumor PD-L1 expression, which may explain the wide variation in objective response rate, progression-free survival, and overall survival across studies. Therefore, additional studies prospectively evaluating clinical outcomes of PD-1/PD-L1 inhibitors among patients with advanced or metastatic NSCLC whose tumors harbor emerging predictive or prognostic biomarkers are needed to determine whether this class of immunotherapy can provide additional survival benefits for these patients.

With the development of immune checkpoints inhibitors (ICIs), immunotherapy has recently taken center stage in cancer treatment. Dendritic cells exert complicated and important functions in antitumor immunity. This study aims to construct a novel dendritic cell marker gene signature (DCMGS) to predict the prognosis and immunotherapy response of lung adenocarcinoma (LUAD). DC marker genes in LUAD were identified by analysis of single-cell RNA sequencing data. 6 genes (G0S2, KLF4, ALDH2, IER3, TXN, CD69) were screened as the most prognosis-related genes for constructing DCMGS on a training cohort from TCGA data set. Patients were divided into high-risk and low-risk groups by DCMGS risk score based on overall survival time. Then, the predictive ability of the risk model was validated in 6 independent cohorts. DCMGS was verified to be an independent prognostic factor in multivariate analysis. Furthermore, we performed pathway enrichment analysis to explore possible biological mechanisms of the powerful predictive ability of DCMGS, and immune cell infiltration landscape and inflammatory activities were exhibited to reflect the immune profile. Notably, we bridged DCMGS with expression of immune checkpoints and TCR/BCR repertoire diversity that can inflect immunotherapy response. Finally, the predictive ability of DCMGS in immunotherapy response was also validated by 2 cohorts that had received immunotherapy. As a result, the patients with lower DCMGS risk scores showed a better prognosis and immunotherapy response. In conclusion, DCMGS was suggested to be a promising prognostic indicator for LUAD and a desirable predictor for immunotherapy response.