Immunogenomic correlates of immune-related adverse events for anti-programmed cell death 1 therapy

Comparative efficacy and safety of PD-1 versus PD-L1 inhibitors in breast cancer treatment: A systematic review and meta analysis

The comparative efficacy and safety of programmed death-ligand 1 (PD-L1) inhibitors versus programmed death protein 1 (PD-1) inhibitors in breast cancer treatment remain inconclusive, as no head-to-head randomized controlled trials (RCTs) conducted. This study aims to evaluate the efficacy and safety of PD-1/PD-L1 inhibitors as monotherapy or in combination with chemotherapy for breast cancer. A systematic review and meta-analysis were performed using major databases and oncology conference proceedings. The primary outcomes were overall survival (OS) for advanced breast cancer and pathological complete response (PCR) rate for early breast cancer. Secondary outcomes included progression-free survival (PFS) for advanced breast cancer and incidence of adverse events (AEs). Seventeen studies met the inclusion criteria, consisting of seven RCTs on early-stage and 10 on advanced breast cancer. For advanced breast cancer, PD-1/PD-L1 inhibitors modestly improved OS compared to chemotherapy, with no significant differences between PD-1 and PD-L1 inhibitors. PD-L1 inhibitors showed greater improvement in PFS compared to PD-1 inhibitors. The likelihood of AEs of any grade was higher with PD-L1 inhibitor treatment than with PD-1 inhibitor treatment. In early breast cancer, combining PD-1/PD-L1 inhibitors with chemotherapy inducing higher PCR rates than chemotherapy alone, with PD-1 inhibitors achieving better outcomes than PD-L1 inhibitors. PD-1 inhibitors were linked to slightly higher rates of grade >2 AEs compared to PD-L1 inhibitors. The findings indicate that PD-1 inhibitors may offer advantages for advanced breast cancer due to similar OS and a lower rate of AEs. For early breast cancer, PD-1 inhibitors are recommended given their superior PCR rates.

Roles of the gut microbiota in immune-related adverse events: mechanisms and therapeutic intervention

Immune checkpoint inhibitors (ICIs) constitute a major breakthrough in the field of cancer therapy; their use has resulted in improved outcomes across various tumour types. However, ICIs can cause a diverse range of immune-related adverse events (irAEs) that present a considerable challenge to the efficacy and safety of these treatments. The gut microbiota has been demonstrated to have a crucial role in modulating the tumour immune microenvironment and thus influences the effectiveness of ICIs. Accumulating evidence indicates that alterations in the composition and function of the gut microbiota are also associated with an increased risk of irAEs, particularly ICI-induced colitis. Indeed, these changes in the gut microbiota can contribute to the pathogenesis of irAEs. In this Review, we first summarize the current clinical challenges posed by irAEs. We then focus on reported correlations between alterations in the gut microbiota and irAEs, especially ICI-induced colitis, and postulate mechanisms by which these microbial changes influence the occurrence of irAEs. Finally, we highlight the potential value of gut microbial changes as biomarkers for predicting irAEs and discuss gut microbial interventions that might serve as new strategies for the management of irAEs, including faecal microbiota transplantation, probiotic, prebiotic and/or postbiotic supplements, and dietary modulations.

Impact of IRAES on the outcomes of pembrolizumab therapy in patients with MUC: A comprehensive analysis of severity and the type and number of affected organs

BACKGROUND

Immune-related adverse events (irAEs) are reportedly associated with favorable outcomes in patients with metastatic urothelial carcinoma (mUC) receiving pembrolizumab. Previous studies on this topic focused on the severity of irAEs. The type and number of organs affected by irAEs may also be associated with the therapeutic outcomes.

METHODS

The present, retrospective study included 146 patients with mUC receiving pembrolizumab between January 2018 and March 2022. The primary endpoints were the overall response rate (ORR), progression-free survival (PFS), and overall survival (OS) associated with the type and number of organs affected by irAEs and the severity of the symptoms. IrAEs were graded using the Common Terminology Criteria for Adverse Events version 5.0. The treatment response was assessed using the Response Evaluation Criteria in Solid Tumors version 1.1. Cox proportional hazards was used to assess for any association between the variables and survival. Time-dependent analysis was used to assess the status of irAEs as a prognostic factor.

RESULTS

IrAEs ≥ grade (G) 2 were observed in 48 (33%) patients, of whom 9 (6%) had multiple irAEs. IrAEs ≥G2 were significantly associated with a higher ORR (57% vs. 22% for

CONCLUSIONS

The severity and number of irAEs and the organs affected by them appeared to be relevant to the therapeutic efficacy of pembrolizumab in patients with mUC.

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Key Words

• Immune-related adverse events
• Metastatic urothelial carcinoma
• Pembrolizumab

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Affiliation(s)

Ichiro Yonese Departments of Genitourinary Oncology, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan; Department of Urology, Tokyo Metropolitan Cancer and Infectious Diseases Center Komagome Hospital, Tokyo, Japan
Yosuke Yasuda Departments of Genitourinary Oncology, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan.
Kosuke Takemura Departments of Genitourinary Oncology, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan
Masahiro Toide Department of Urology, Tokyo Metropolitan Cancer and Infectious Diseases Center Komagome Hospital, Tokyo, Japan
Takahiko Soma Department of Urology, Tokyo Metropolitan Cancer and Infectious Diseases Center Komagome Hospital, Tokyo, Japan
Yusuke Yoneoka Departments of Genitourinary Oncology, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan
Ryo Fujiwara Departments of Genitourinary Oncology, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan
Masaya Ito Department of Urology, Tokyo Metropolitan Cancer and Infectious Diseases Center Komagome Hospital, Tokyo, Japan
Tomohiko Oguchi Departments of Genitourinary Oncology, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan
Noboru Numao Departments of Genitourinary Oncology, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan
Shinya Yamamoto Departments of Genitourinary Oncology, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan
Takeshi Yuasa Departments of Genitourinary Oncology, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan
Fumitaka Koga Department of Urology, Tokyo Metropolitan Cancer and Infectious Diseases Center Komagome Hospital, Tokyo, Japan
Junji Yonese Departments of Genitourinary Oncology, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan

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Association of Baseline Tumor-Specific Neoantigens and CD8+ T-Cell Infiltration With Immune-Related Adverse Events Secondary to Immune Checkpoint Inhibitors

PURPOSE

Recent evidence has shown that higher tumor mutational burden strongly correlates with an increased risk of immune-related adverse events (irAEs). By using an integrated multiomics approach, we further studied the association between relevant tumor immune microenvironment (TIME) features and irAEs.

METHODS

Leveraging the US Food and Drug Administration Adverse Event Reporting System, we extracted cases of suspected irAEs to calculate the reporting odds ratios (RORs) of irAEs for cancers treated with immune checkpoint inhibitors (ICIs). TIME features for 32 cancer types were calculated on the basis of the cancer genomic atlas cohorts and indirectly correlated with each cancer's ROR for irAEs. A separate ICI-treated cohort of non-small-cell lung cancer (NSCLC) was used to evaluate the correlation between tissue-based immune markers (CD8+, PD-1/L1+, FOXP3+, tumor-infiltrating lymphocytes [TILs]) and irAE occurrence.

RESULTS

The analysis of 32 cancers and 33 TIME features demonstrated a significant association between irAE RORs and the median number of base insertions and deletions (INDEL), neoantigens (r = 0.72), single-nucleotide variant neoantigens (r = 0.67), and CD8+ T-cell fraction (r = 0.51). A bivariate model using the median number of INDEL neoantigens and CD8 T-cell fraction had the highest accuracy in predicting RORs (adjusted r2 = 0.52, P = .002). Immunoprofile assessment of 156 patients with NSCLC revealed a strong trend for higher baseline median CD8+ T cells within patients' tumors who experienced any grade irAEs. Using machine learning, an expanded ICI-treated NSCLC cohort (n = 378) further showed a treatment duration-independent association of an increased proportion of high TIL (>median) in patients with irAEs (59.7% v 44%, P = .005). This was confirmed by using the Fine-Gray competing risk approach, demonstrating higher baseline TIL density (>median) associated with a higher cumulative incidence of irAEs (P = .028).

CONCLUSION

Our findings highlight a potential role for TIME features, specifically INDEL neoantigens and baseline-immune infiltration, in enabling optimal irAE risk stratification of patients.

In-depth analysis of immune cell landscapes reveals differences between lung adenocarcinoma and lung squamous cell carcinoma

Background

Lung cancer is the leading cause of cancer deaths globally, with lung adenocarcinoma (LUAD) and squamous cell carcinoma (LUSC) being major subtypes. Immunotherapy has emerged as a promising approach for the treatment of lung cancer, but understanding the underlying mechanisms of immune dysregulation is crucial for the development of effective therapies. This study aimed to investigate the distinctive cellular features of LUAD and LUSC and identify potential biomarkers associated with the pathogenesis and clinical outcomes of each subtype.

Methods

We used digital cytometry techniques to analyze the RNA-Seq data of 1128 lung cancer patients from The Cancer Genome Atlas (TCGA) database. The abundance of cell subtypes and ecotypes in LUAD and LUSC patients was quantified. Univariate survival analysis was used to investigate their associations with patient overall survival (OS). Differential gene expression analysis and gene co-expression network construction were carried out to explore the gene expression patterns of LUSC patients with distinct survival outcomes. Scratch wound-healing assay, colony formation assay, and transwell assay were used to validate the candidate drugs for LUSC treatment.

Results

We found differential expression of cell subtypes between LUAD and LUSC, with certain cell subtypes being prognostic for survival in both subtypes. We also identified differential gene expression and gene co-expression modules associated with macrophages.3/PCs.2 ratio in LUSC patients with distinct survival outcomes. Furthermore, ecotype ratios were found to be prognostic in both subtypes and machine learning models showed that certain cell subtypes, such as epithelial.cells.1, epithelial.cells.5, and endothelial.cells.2 are important for predicting LUSC. Ginkgolide B and triamterene can inhibit the proliferation, invasion, and migration of LUSC cell lines.

Conclusion

We provide insight into the distinctive cellular features of LUAD and LUSC, and identify potential biomarkers associated with the pathogenesis and clinical outcomes of each subtype. Ginkgolide B and triamterene could be promising drugs for LUSC treatment.

The role of PD-1 signaling in health and immune-related diseases

Programmed cell death 1 receptor (PD-1) and its ligands constitute an inhibitory pathway to mediate the mechanism of immune tolerance and provide immune homeostasis. Significantly, the binding partners of PD-1 and its associated ligands are diverse, which facilitates immunosuppression in cooperation with other immune checkpoint proteins. Accumulating evidence has demonstrated the important immunosuppressive role of the PD-1 axis in the tumor microenvironment and in autoimmune diseases. In addition, PD-1 blockades have been approved to treat various cancers, including solid tumors and hematological malignancies. Here, we provide a comprehensive review of the PD-1 pathway, focusing on the structure and expression of PD-1, programmed cell death 1 ligand 1 (PD-L1), and programmed cell death 1 ligand 2 (PD-L2); the diverse biological functions of PD-1 signaling in health and immune-related diseases (including tumor immunity, autoimmunity, infectious immunity, transplantation immunity, allergy and immune privilege); and immune-related adverse events related to PD-1 and PD-L1 inhibitors.

Management and prediction of immune-related adverse events for PD1/PDL-1 immunotherapy in colorectal cancer

Programmed cell death protein (PD-1) is an important immunosuppressive molecule, which can inhibit interaction between PD-1 and its ligand PD-L1, further enhancing the T cell response and anti-tumor activity, which is called immune checkpoint blockade. Immunotherapy, represented by immune checkpoint inhibitors, has opened up a new era of tumor treatment and is gradually being applied to colorectal cancer recently. Immunotherapy was reported could achieve a high objective response rate (ORR) for colorectal cancer with high microsatellite instability (MSI), thus opening up a new era of colorectal cancer immunotherapy. Along with the increasing use of PD1 drugs in colorectal cancer, we should pay more attention to the adverse effects of these immune drugs while seeing the hope. Immune-related adverse events (irAEs) caused by immune activation and immune homeostasis during anti-PD-1/PD-L1 therapy can affect multi-organ and even be fatal in serious cases. Therefore, understanding irAEs is essential for their early detection and appropriate management. In this article, we review the irAEs that occur during the treatment of colorectal cancer patients with PD-1/PD-L1 drugs, analyze the current controversies and challenges, and point out future directions that should be explored, including exploring efficacy predictive markers and optimizing the paradigm of individualized immunotherapy.