Emerging Immune Checkpoint Molecules on Cancer Cells: CD24 and CD200

Exploring shared targets in cancer immunotherapy and cancer-induced bone pain: Insights from preclinical studies

Cancer casts a profound shadow on global health, with pain emerging as one of the dominant and severe complications, particularly in advanced stages. The effective management of cancer-induced pain remains an unmet need. Emerging preclinical evidence suggests that targets related to tumor immunotherapy may also modulate cancer-related pain pathways, thus offering a promising therapeutic direction. This review, focusing on more than ten molecular targets that link cancer immunotherapy and cancer-induced bone pain, underscores their potential to tackle both aspects in the context of comprehensive cancer care. Emphasizing factors such as types of cancer, drug administration methods, and sex differences in the analgesic efficacy of immunotherapeutic agents provides neuroscientific insights into personalized pain management for patients with cancer.

CD200-CD200R Pathway: A Regulator of Microglial Polarization in Postoperative Cognitive Dysfunction

Microglial polarization refers to the ability of microglia to exhibit different functional states under various conditions. As the resident immune cells of the brain, changes in the functional state of microglia play a crucial role in the progression of postoperative cognitive dysfunction. Recent studies have indicated that CD200-CD200R signaling is associated with microglial polarization. This review focuses on the latest advancements regarding whether CD200-CD200R signaling can regulate microglial polarization and thereby influence postoperative cognitive dysfunction.

Engineering macrophage membrane-camouflaged nanoplatforms with enhanced macrophage function for mediating sonodynamic therapy of ovarian cancer

Cancer immunotherapy has demonstrated remarkable efficacy in the treatment of cancer, and it has been successfully applied in the treatment of various solid tumors. However, the response rates to immunotherapy in patients with ovarian cancer remain modest because of the immunosuppressive tumor microenvironment (TME). Tumor-associated macrophages (TAMs) represent the predominant myeloid cell population within the TME, which adopt the protumorigenic M2 phenotype and are blinded by the "don't eat me" signals from tumor cells. These characteristics of TAMs result in insufficient phagocytic activation. In this study, we constructed a SIM@TR-NP-mediated combination therapy of sonodynamic and immunotherapy. SIM@TR-NPs were modified by engineered macrophage membranes with overexpressed sialic acid-binding Ig-like lectin 10 (Siglec-10), and were internally loaded with sonosensitizer 4,4',4'',4'''-(porphine-5,10,15,20-tetrayl)tetrakis(benzoic acid) and immune adjuvant resiquimod. SIM@TR-NPs can block "don't eat me" signals to enhance macrophage phagocytosis and trigger the polarization of TAMs toward the M1 phenotype, thereby improving the immunosuppressive TME. Simultaneously, upon ultrasound irradiation, SIM@TR-NP-mediated sonodynamic therapy (SDT) triggered immunogenic cell death in tumor cells, in combination with TAM-based immunotherapy, transforming the "immune cold tumor" into an "immune hot tumor". SIM@TR-NP-mediated sonodynamic immunotherapy exhibited potent antitumor efficacy in ovarian cancer and exhibited substantial potential for improving the immunosuppressive TME. This study presents an emerging therapeutic regimen for ovarian cancer that synergizes TAM-based antitumor immunotherapy and SDT.

Sialylation-associated long non-coding RNA signature predicts the prognosis, tumor microenvironment, and immunotherapy and chemotherapy options in uterine corpus endometrial carcinoma

BACKGROUND

Sialylation in uterine corpus endometrial carcinoma (UCEC) differs significantly from apoptotic and ferroptosis pathways. It plays a crucial role in cancer progression and immune response modulation. Exploring how sialylation affects tumor behavior and its link with long non-coding RNAs (lncRNAs) may provide new insights into UCEC prognosis and treatment.

METHODS

We obtained RNA transcriptome, clinical, and mutation data of UCEC samples from the TCGA database. Our approach involved developing a risk model based on the co-expression patterns of sialylation genes and lncRNAs. Prognostic lncRNAs were identified through Cox regression and further refined using LASSO analysis. To understand the biological functions and pathways of model-associated differentially expressed genes (MADEGs), we conducted enrichment analyses. We also assessed the immune infiltration status of MADEGs using eight different algorithms, which helped in evaluating the potential for immunotherapy. Additionally, we validated the expression of these lncRNAs in UCEC using cell lines and clinical samples.

RESULTS

We developed a UCEC risk model using five sialylation-related lncRNAs (AC004884.2, AC026202.2, LINC01579, LINC00942, SLC16A1-AS1). This model, confirmed through Cox analysis and clinical evaluation, effectively predicted patient outcomes. Survival data analysis across entire cohort, as well as within training and test groups, indicated better survival in low-risk UCEC patients. Enrichment analyses linked MADEGs to sialylation functions and cancer pathways. High-risk patients showed increased responsiveness to immune checkpoint inhibitors (ICIs), as indicated by immunological assessments. Subgroup C2 patients showed superior outcomes and a robust response to immunotherapy and chemotherapy. Notably, LINC01579, LINC00942, and SLC16A1-AS1 were significantly overexpressed in UCEC clinical tumor samples as well as in Ishikawa and HEC-1-B cell lines, compared to the normal groups.

CONCLUSIONS

This lncRNA signature associated with sialylation could guide prognosis, enhance the understanding of molecular mechanisms, and inform treatment strategies in UCEC. It highlights the potential for the use of ICIs and chemotherapy.

From mechanism to therapy: the journey of CD24 in cancer

CD24 is a glycosylphosphatidylinositol-anchored protein that is expressed in a wide range of tissues and cell types. It is involved in a variety of physiological and pathological processes, including cell adhesion, migration, differentiation, and apoptosis. Additionally, CD24 has been studied extensively in the context of cancer, where it has been found to play a role in tumor growth, invasion, and metastasis. In recent years, there has been growing interest in CD24 as a potential therapeutic target for cancer treatment. This review summarizes the current knowledge of CD24, including its structure, function, and its role in cancer. Finally, we provide insights into potential clinical application of CD24 and discuss possible approaches for the development of targeted cancer therapies.

Elevated ADH5 expression suggested better prognosis in kidney renal clear cell carcinoma (KIRC) and related to immunity through single-cell and bulk RNA-sequencing

BACKGROUND

Despite the rapid advances in modern medical technology, kidney renal clear cell carcinoma (KIRC) remains a challenging clinical problem in urology. Researchers urgently search for useful markers to break through the therapeutic conundrum due to its high lethality. Therefore, the study explores the value of ADH5 on overall survival (OS) and the immunology of KIRC.

METHODS

The gene expression matrix and clinical information on ADH5 in the TCGA database were validated using external databases and qRT-PCR. To confirm the correlation between ADH5 and KIRC prognosis, univariate/multivariate Cox regression analysis was used. We also explored the signaling pathways associated with ADH5 in KIRC and investigated its association with immunity.

RESULTS

The mRNA and protein levels showed an apparent downregulation of ADH5 in KIRC. Correlation analysis revealed that ADH5 was directly related to histological grade, clinical stage, and TMN stage (p < 0.05). Univariate and multivariate Cox regression analysis identified ADH5 as an independent factor affecting the prognosis of KIRC. Enrichment analysis looked into five ADH5-related signaling pathways. The results showed no correlation between ADH5 and TMB, TNB, and MSI. From an immunological perspective, ADH5 was found to be associated with the tumor microenvironment, immune cell infiltration, and immune checkpoints. Lower ADH5 expression was associated with greater responsiveness to immunotherapy. Single-cell sequencing revealed that ADH5 is highly expressed in immune cells.

CONCLUSION

ADH5 could be a promising prognostic biomarker and a potential therapeutic target for KIRC. Besides, it was found that KIRC patients with low ADH5 expression were more sensitive to immunotherapy.

Checkpoint CD24 function on tumor and immunotherapy

CD24 is a protein found on the surface of cells that plays a crucial role in the proliferation, invasion, and spread of cancer cells. It adheres to cell membranes through glycosylphosphatidylinositol (GPI) and is associated with the prognosis and survival rate of cancer patients. CD24 interacts with the inhibitory receptor Siglec-10 that is present on immune cells like natural killer cells and macrophages, leading to the inhibition of natural killer cell cytotoxicity and macrophage-mediated phagocytosis. This interaction helps tumor cells escape immune detection and attack. Although the use of CD24 as a immune checkpoint receptor target for cancer immunotherapy is still in its early stages, clinical trials have shown promising results. Monoclonal antibodies targeting CD24 have been found to be well-tolerated and safe. Other preclinical studies are exploring the use of chimeric antigen receptor (CAR) T cells, antibody-drug conjugates, and gene therapy to target CD24 and enhance the immune response against tumors. In summary, this review focuses on the role of CD24 in the immune system and provides evidence for CD24 as a promising immune checkpoint for cancer immunotherapy.

Translation of Data from Animal Models of Cancer to Immunotherapy of Breast Cancer and Chronic Lymphocytic Leukemia

The field of clinical oncology has been revolutionized over the past decade with the introduction of many new immunotherapies the existence of which have depended to a large extent on experimentation with both in vitro analysis and the use of various animal models, including gene-modified mice. The discussion below will review my own laboratory's studies, along with those of others in the field, on cancer immunotherapy. Our own studies have predominantly dwelt on two models of malignancy, namely a solid tumor model (breast cancer) and lymphoma. The data from our own laboratory, and that of other scientists, highlights the novel information so obtained, and the evidence that application of such information has already had an impact on immunotherapy of human oncologic diseases.