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Although effective, immune checkpoint blockade induces response in only a subset of cancer patients. There is an urgent need to discover new immune checkpoint targets. Recently, it was found that a class of sialic acid–binding immunoglobulin‐like lectins (Siglecs) expressed on the surface of T cells in cancer patients inhibit T cell activation through their intracellular immunosuppressive motifs by recognizing sialic acid–carrying glycans, sialoglycans. However, ligands of Siglecs remain elusive. Here, we report sialylated IgG (SIA‐IgG), a ligand to Siglec‐7, that is highly expressed in epithelial cancer cells. SIA‐IgG binds Siglec‐7 directly and inhibits TCR signals. Blocking of either SIA‐IgG or Siglec‐7 elicited potent antitumor immunity in T cells. Our study suggests that blocking of Siglec‐7/SIA‐IgG offers an opportunity to enhance immune function while simultaneously sensitizing cancer cells to immune attack. [ABSTRACT FROM AUTHOR]

Coiled‐coil domain containing 134 (CCDC134) has been shown to serve as an immune cytokine to exert antitumor effects and to act as a novel regulator of hADA2a to affect PCAF acetyltransferase activity. While Ccdc134 loss causes abnormal brain development in mice, the significance of CCDC134 in neuronal development in vivo is controversial. Here, we report that CCDC134 is highly expressed in Purkinje cells (PCs) at all developmental stages and regulates mammalian cerebellar development in a cell type‐specific manner. Selective deletion of Ccdc134 in mouse neural stem cells (NSCs) caused defects in cerebellar morphogenesis, including a decrease in the number of PCs and impairment of PC dendritic growth, as well as abnormal granule cell development. Moreover, loss of Ccdc134 caused progressive motor dysfunction with deficits in motor coordination and motor learning. Finally, Ccdc134 deficiency inhibited Wnt signaling but increased Ataxin1 levels. Our findings provide evidence that CCDC134 plays an important role in cerebellar development, possibly through regulating Wnt signaling and Ataxin1 expression levels, and in controlling cerebellar function for motor coordination and motor learning, ultimately making it a potential contributor to cerebellar pathogenesis. [ABSTRACT FROM AUTHOR]

Background. An increasing number of studies have indicated that the abnormal expression of certain long noncoding RNAs (lncRNAs) is linked to the overall survival (OS) of patients with myeloma. Methods. Gene expression data of myeloma patients were downloaded from the Gene Expression Omnibus (GEO) database (GSE4581 and GSE57317). Cox regression analysis, Kaplan-Meier, and receiver operating characteristic (ROC) analysis were performed to construct and validate the prediction model. Single sample gene set enrichment (ssGSEA) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis were used to predict the function of a specified lncRNA. Results. In this study, a seven-lncRNA signature was identified and used to construct a risk score system for myeloma prognosis. This system was used to stratify patients with different survival rates in the training set into high-risk and low-risk groups. Test set, the entire test set, the external validation set, and the myeloma subtype achieved the authentication of the results. In addition, functional enrichment analysis indicated that 7 prognostic lncRNAs may be involved in the tumorigenesis of myeloma through cancer-related pathways and biological processes. The results of the immune score showed that IF_I was negatively correlated with the risk score. Compared with the published gene signature, the 7-lncRNA model has a higher C-index (above 0.8). Conclusion. In summary, our data provide evidence that seven lncRNAs could be used as independent biomarkers to predict the prognosis of myeloma, which also indicated that these 7 lncRNAs may be involved in the progression of myeloma. [ABSTRACT FROM AUTHOR]

It is increasingly recognized that many human carcinomas express immunoglobulin (Ig) molecules that are distinct from B-cell-derived Ig and play important roles in cancer initiation, progression, and metastasis. However, the molecular mechanisms underlying the functions of cancer-derived Ig remain elusive. Here, we report that lung squamous cell carcinoma (LSCC) cells frequently express high levels of cancer IgG (CIgG) that is specifically recognized by a monoclonal antibody RP215. RP215 recognizes CIgG via a novel epitope that involves an N-glycan modification at a non-consensus site within the CH1 domain. We demonstrate that RP215 recognized CIgG (RP215-CIgG) promotes survival, migration and in vivo growth of LSCC cells, and these oncogenic activities are strongly inhibited by RP215. Mechanistically, RP215-CIgG executes its oncogenic function through interacting with the integrin α6β4 complex and activating the FAK and Src pathways. Notably, the CIgG-integrin-FAK signaling depends on the N-glycan epitope, which is inhibited by RP215. Together, our studies identified a novel CIgG molecule that activates the oncogenic integrin-FAK signaling in LSCC cells. In addition, the activity of CIgG is inhibited by RP215, providing an attractive target for antibody-based therapy of LSCC. [ABSTRACT FROM AUTHOR]

CCDC134 might be an immune cytokine and plays important and complex roles in the process in vivo . It was proved to illustrate its potent antitumor effects by augmenting CD8 + T-cell–mediated immunity, but its role in the development of rheumatoid arthritis (RA) remains unclear. In this study, we demonstrated that development of adjuvant-induced arthritis and pro-inflammatory responses were more ameliorated in CCDC134–overexpressing transgenic mice than those in WT mice. The underlying mechanism of CCDC134-induced effects involved inhibition of T helper (Th) 1 and Th17 cell differentiation. These findings indicate that overexpression of CCDC134 exerts potent anti-inflammatory effects through selective modulation of pathogenic Th1 and Th17 cells, and might provide insights into the role of CCDC134 as a unique therapeutic agent for the treatment of rheumatoid arthritis. [ABSTRACT FROM AUTHOR]

Currently, natural IgM antibodies are considered to be the constitutively secreted products of B-1 cells in mice and humans. In this study, we found that mouse epithelial cells, including liver epithelial cells and small intestinal epithelial cells (IECs), could express IgM that also showed natural antibody activity. Moreover, similar to the B-1 cell-derived natural IgM that can be upregulated by TLR9 agonists (mimicking bacterial infection), the expression of epithelial cell-derived natural IgM could also be significantly increased by TLR9 signaling. More importantly, the epithelial cell-derived IgM was polyreactive, and it could recognize single-stranded DNA (ssDNA), double-stranded DNA (dsDNA), lipopolysaccharide (LPS), and insulin with low affinity; additionally, TLR9 agonists could enhance it in a MyD88-dependent manner. Furthermore, epithelial cell-derived IgM could bind various bacteria; therefore, it could be involved in anti-infection responses. Together, these results highlight the fact that epithelial cells are an important source of natural IgM, in addition to that produced by B-1 cells, and IgM contributes to the innate immune responses in local tissues, further demonstrating that the epithelium is a first line of defense in the protection against invading microbes. [ABSTRACT FROM AUTHOR]

Lung squamous cell carcinoma has so far lacked effective targets for diagnosis and treatment. In cancer research, long noncoding RNAs (LncRNAs) emerge as novel therapeutic targets and biomarkers. Cuprophosis is a new death type involving multiple biological processes in tumor cells. Here, we aimed to explore whether Cuprophosis-related lncRNAs could be used to predict prognosis, assess immune function, and test drug sensitivity in LUSC patients. The Cancer Genome Map (TCGA) was used to obtain genome and clinical data, and Cuprophosis-relevant genes were found in the literature. A cuproptosis-related lncRNA risk model was built using co-expression analysis, univariate/multivariate Cox regression, and LASSO analysis. The survival analysis was used to assess the model's prognostic value. The univariate and multivariate Cox regression analyses were performed to determine whether risk score, age, gender, or clinical stages could be used as independent prognostic factors. Gene Set Enrichment Analysis and mutation analysis were performed on differentially expressed mRNA between high-risk and low-risk groups. The (TIDE) algorithm was used to conduct immunological functional analysis and drug sensitivity testing. Five cuproptosis-related LncRNAs were identified, and the selected LncRNAs constructed a prognosis model. According to the Kaplan-Meier survival analysis, the overall survival time for patients in the high-risk group was shorter than for those in the low-risk group. For LUSC patients, the risk score serves as an independent prognostic indicator. The GO and KEGG enrichment analysis revealed that the differentially expressed mRNAs between the high- and low-risk groups were enriched in several immune-related processes. The enrichment score of differentially expressed mRNAs in the high-risk group is higher than that of the low-risk group in multiple immune function pathways, including the IFN-γ and MHC I pathways. The Tumor Immune Dysfunction and Exclusion (TIDE) test revealed that the high-risk group was more likely to experience immune escape. The drug sensitivity analysis showed that patients with low-risk ratings were likely to respond to GW441756 and Salubrinal. In contrast, patients with higher risk scores were more responsive to dasatinib and Z-LLNIe CHO. The 5-Cuprophosis-related lncRNA signature can be used to predict prognosis, assess immune function, and test drug sensitivity in LUSC patients., Competing Interests: Competing Interests: The authors have declared that no competing interest exists., (© The author(s).)

Background: Osteosarcoma is a malignant bone tumor that typically occurs in adolescents or children under 20 years of age. Developing efficient clinical prognostic markers is crucial for improving the treatment of osteosarcoma patients., Methods: Three datasets related to osteosarcoma were acquired from the Gene Expression Omnibus (GEO) database. A gene signature model was established using the Limma package in the R software, univariate and multivariate survival analyses, and least absolute shrinkage and selection operator (LASSO) algorithms. The gene signature was then verified using external datasets., Results: From the GEO database, 242 differentially expressed genes were identified. A total of 590 unique genes, including 380 genes from the human protein interaction network, were found to be related to biological processes such as bone development and bone cell development. Univariate Cox survival analyses revealed 43 genes that were associated with the prognosis of osteosarcoma patients. A seven-gene signature [retinitis pigmentosa 2 ( RP2 ), polyhydroxybutyrate ( PHB ), myosin VI ( MYO6 ), mutL homolog 1 ( MLH1 ), Casein kinase 2 beta ( CSNK2B ), ribosomal protein L37A ( RPL37A ), and CCAAT/enhancer binding protein alpha ( CEBPA )] was developed using LASSO regression analysis and multivariate regression analysis. This gene signature could stratify the prognostic risk of sample cases in the training set, the test set, and the external verification set (P<0.01). The area under the receiver operating characteristic curve for the 5-year survival was higher than 0.72 in both the training and verification groups., Conclusions: In this study, a seven-gene signature was developed that is highly efficient at predicting the prognosis of patients with osteosarcoma, and therefore, this signature may be a crucial guide in the treatment of these patients., Competing Interests: Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://atm.amegroups.com/article/view/10.21037/atm-21-6276/ciof). The authors have no conflicts of interest to declare., (2022 Annals of Translational Medicine. All rights reserved.)

High expression of immunoglobulin G (IgG) in many non-B cell malignancies and its non-conventional roles in promoting proliferation and survival of cancer cells have been demonstrated. However, the precise function of non-B IgG remains incompletely understood. Here we define the antigen specificity of RP215, a monoclonal antibody that specifically recognizes the IgG in cancer cells. Using RP215, our study shows that IgG is overexpressed in cancer cells of epithelial lineage, especially cells with cancer stem/progenitor cell-like features. The RP215-recognized IgG is primarily localized on the cell surface, particularly lamellipodia-like structures. Cells with high IgG display higher migration, increased invasiveness and metastasis, and enhanced self-renewal and tumorgenecity ability in vitro and in vivo. Importantly, depletion of IgG in breast cancer leads to reduced adhesion, invasion and self-renewal and increased apoptosis of cancer cells. We conclude that high expression of IgG is a novel biomarker of tumor progression, metastasis and cancer stem cell maintenance and demonstrate the potential therapeutic benefits of RP215-recognized IgG targeted strategy.

The innate immune system of the skin is thought to depend largely on a multi-layered mechanical barrier supplemented by epidermis-derived antimicrobial peptides. To date, there are no reports of antimicrobial antibody secretion by the epidermis. In this study, we report the expression of functional immunoglobulin G (IgG) and immunoglobulin A (IgA), previously thought to be only produced by B cells, in normal human epidermal cells and the human keratinocyte line HaCaT. While B cells express a fully diverse Ig, epidermal cell-expressed IgG or IgA showed one or two conservative VHDJH rearrangements in each individual. These unique VDJ rearrangements in epidermal cells were found neither in the B cell-derived Ig VDJ databases published by others nor in our positive controls. IgG and IgA from epidermal cells of the same individual had different VDJ rearrangement patterns. IgG was found primarily in prickle cells, and IgA was mainly detected in basal cells. Both epidermal cell-derived IgG and IgA showed potential antibody activity by binding pathogens like Staphylococcus aureus, the most common pathogenic skin bacteria, but the microbial-binding profile was different. Our data indicates that normal human epidermal cells spontaneously express IgG and IgA, and we speculate that these Igs participate in skin innate immunity.

CCDC134 is a poorly characterized secreted protein that may act as an immune cytokine. Here, we show that CCDC134 is differentially expressed on resting and activated immune cells and that it promotes CD8(+) T-cell activation, proliferation, and cytotoxicity by augmenting expression of the T-cell effector molecules IFNγ, TNFα, granzyme B, and perforin. CCDC134 facilitated infiltration of CD8(+) T cells with enhanced cytolytic activity into tumors, demonstrating strong antitumor effects in a CD8(+) T-cell-dependent manner. Mechanistically, in CD8(+) T cells, exposure to CCDC134 promoted cell proliferation through the JAK3-STAT5 pathway, a classic feature of many cytokines of the common γ-chain (γ(c)) cytokine receptor family. Overall, our results provide evidence that CCDC134 may serve as a member of the γ(c) cytokine family and illustrate its potent antitumor effects by augmenting CD8(+) T-cell-mediated immunity., (©2014 American Association for Cancer Research.)

It is well known that B-1 B cells are the main cell type that is responsible for the production of natural immunoglobulin M (IgM) and can respond to infection by increasing IgM secretion. However, we unexpectedly found that some epithelial cells also can express rearranged IgM transcript that has natural IgM characteristics, such as germline-encoded and restricted rearrangement patterns. Here we studied IgM expression in human non-B cells and found that IgM was frequently expressed by many human epithelial cancer cells as well as non-cancer epithelial cells. Moreover, CD79A and CD79B, two molecules that are physically linked to membranous IgM on the surface of B cells to form the B cell antigen receptor complex, were also expressed on the cell surface of epithelial cancer cells and co-located with IgM. Like the natural IgM, the epithelial cancer cell-derived IgM recognized a series of microbial antigens, such as single-stranded DNA, double-stranded DNA, lipopolysaccharide, and the HEp-2 cell antigen. More important, stimulation of the toll-like receptor 9 (TLR9), which mimics bacterial infection, substantially increased the secretion of IgM in human epithelial cancer cells. These findings indicate that human epithelial cancer cells as well as non-cancer epithelial cells can spontaneously produce IgM with natural antibody activity.