COPS6 promotes tumor progression and reduces CD8+ T cell infiltration by repressing IL-6 production to facilitate tumor immune evasion in breast cancer

Analysis of tumor-infiltrating exhausted T cells highlights IL-6 and PD1 blockade as a combined immunotherapy strategy for non-small cell lung cancer

OBJECTIVE

Given the limitations of immunotherapy for treating non-small cell lung cancer (NSCLC), we investigated the phenotype and function of exhausted CD8+T cells and analyzed a novel combination immunotherapy to restore the effector killing function of tumor-infiltrating CD8+T lymphocyte (TIL).

METHODS

We examined the expression and function of immunosuppressive molecules on CD8+T cells of peripheral blood mononuclear cells (PBMCs) and TILs by using prospectively collected peripheral blood, pleural effusions, and tumor tissues from patients with NSCLC and correlated the results with clinical data. We then evaluated the effect of interleukin 6 (IL-6) stimulation on CD8+T cells. Finally, we assessed the effects of combined blockade of PD1 and IL-6 on macrophage recruitment in a zebrafish macrophage model and CD8+ T cell function and tumor growth in PBMC humanized mouse model.

RESULTS

The expression of exhaustion markers on CD8+ T cells was found to be notably higher in both tumor and paraneoplastic tissues compared to peripheral blood. Furthermore, the degree of CD8+ T cell exhaustion exhibited a progressive increase with proximity to the tumor. When CD8+ T cells from peripheral blood and tumor tissues of NSCLC patients were stimulated with IL-6, the expression level of exhaustion markers, especially PD1, was further elevated. In the in vitro experiment, the combined inhibition of IL-6 and PD1 substantially enhanced the effector killing function of CD8+ T cells in NSCLC pleural effusion samples. In a macrophage-labeled zebrafish model, combined blockade of IL-6 and PD1 enhanced the recruitment of macrophages. In PBMC humanized mouse model, combined blockade of IL-6 and PD1 enhanced the inhibition of tumor growth.

CONCLUSION

Our data suggest that CD8+ T cells in NSCLC patients were in a state of exhaustion and combined blockade of IL-6 and PD1 to restore CD8+ T cell function to inhibit tumor growth may be an effective clinical strategy for the treatment of NSCLC.

Interleukin-6 (IL-6)-associated tumor microenvironment remodelling and cancer immunotherapy

Interleukin-6 (IL-6) is a pro-inflammatory cytokine playing a pivotal role during inflammation and immune responses. In the recent years, the function of IL-6 in the tumor microenvironment (TME) for affecting tumorigenesis and immunotherapy response has been investigated. The genetic mutations are mainly responsible for the development of cancer, while interactions in TME are also important, involving both cancers and non-cancerous cells. IL-6 plays a significant role in these interactions, enhancing the proliferation, survival and metastasis of tumor cells through inflammatory pathways, highlighting its carcinogenic function. Multiple immune cells including macrophages, T cells, myeloid-derived suppressor cells, dendritic cells and natural killer cells can be affected by IL-6 to develop immunosuppressive TME. IL-6 can also participate in the immune evasion through increasing levels of PD-L1, compromising the efficacy of therapeutics. Notably, IL-6 exerts a double-edge sword function and it can dually increase or decrease cancer immunotherapy, providing a challenge for targeting this cytokine in cancer therapy. Highlighting the complicated function of IL-6 in TME can lead to the development of effective therapeutics for cancer immunity.

Identification of a novel matrix metalloproteinases-related prognostic signature in hepatocellular carcinoma

BACKGROUND

Hepatocellular carcinoma (HCC) is the most common primary liver cancer worldwide. Cancer cells' local infiltration, proliferation, and spread are mainly influenced by the protein hydrolyzing function of different matrix metalloproteinases (MMPs). However, no study has determined the relationship between MMPs and prognostic prediction in HCC.

METHODS

Expression profiles of mRNA and MMPs-related genes were obtained from publicly available databases. Cox regression and LASSO Cox regression analysis were used to identify and predict MMPs-related prognostic signature and construct predictive models for overall survival (OS). A nomogram was used to validate the accuracy of the prediction model. Drug prediction was performed using the Genomics of Drug Sensitivity in Cancer (GDSC) dataset, and single-cell clustering analysis was performed to further understand the significance of the MMPs-related signature.

RESULTS

A MMPs-related prognostic signature (including RNPEPL1, ADAM15, ADAM18, ADAMTS5, CAD, YME1L1, AMZ2, PSMD14, and COPS6) was identified. Using the median value, HCC patients in the high-risk group showed worse OS than those in the low-risk group. Immune microenvironment analysis showed that patients in the high-risk group had higher levels of M0 and M2 macrophages. Drug sensitivity analysis revealed that the IC50 values of sorafenib, cisplatin, and cytarabine were higher in the high-risk group. Finally, the single-cell cluster analysis results showed that YME1L1 and COPS6 were the major genes expressed in the monocyte cluster.

CONCLUSIONS

A novel MMPs-related signature can be used to predict the prognosis of HCC. The findings of this research could potentially impact the predictability of the prognosis and treatment of HCC.

CD8+ T cell-based cancer immunotherapy

The immune system in humans is a defense department against both exogenous and endogenous hazards, where CD8+ T cells play a crucial role in opposing pathological threats. Various immunotherapies based on CD8+ T cells have emerged in recent decades, showing their promising results in treating intractable diseases. However, in the fight against the constantly changing and evolving cancers, the formation and function of CD8+ T cells can be challenged by tumors that might train a group of accomplices to resist the T cell killing. As cancer therapy stepped into the era of immunotherapy, understanding the physiological role of CD8+ T cells, studying the machinery of tumor immune escape, and thereby formulating different therapeutic strategies become the imperative missions for clinical and translational researchers to fulfill. After brief basics of CD8+ T cell-based biology is covered, this review delineates the mechanisms of tumor immune escape and discusses different cancer immunotherapy regimens with their own advantages and setbacks, embracing challenges and perspectives in near future.

The association of cigarette smoking with DNA methylation and gene expression in human tissue samples

Cigarette smoking adversely affects many aspects of human health, and epigenetic responses to smoking may reflect mechanisms that mediate or defend against these effects. Prior studies of smoking and DNA methylation (DNAm), typically measured in leukocytes, have identified numerous smoking-associated regions (e.g., AHRR). To identify smoking-associated DNAm features in typically inaccessible tissues, we generated array-based DNAm data for 916 tissue samples from the GTEx (Genotype-Tissue Expression) project representing 9 tissue types (lung, colon, ovary, prostate, blood, breast, testis, kidney, and muscle). We identified 6,350 smoking-associated CpGs in lung tissue (n = 212) and 2,735 in colon tissue (n = 210), most not reported previously. For all 7 other tissue types (sample sizes 38-153), no clear associations were observed (false discovery rate 0.05), but some tissues showed enrichment for smoking-associated CpGs reported previously. For 1,646 loci (in lung) and 22 (in colon), smoking was associated with both DNAm and local gene expression. For loci detected in both lung and colon (e.g., AHRR, CYP1B1, CYP1A1), top CpGs often differed between tissues, but similar clusters of hyper- or hypomethylated CpGs were observed, with hypomethylation at regulatory elements corresponding to increased expression. For lung tissue, 17 hallmark gene sets were enriched for smoking-associated CpGs, including xenobiotic- and cancer-related gene sets. At least four smoking-associated regions in lung were impacted by lung methylation quantitative trait loci (QTLs) that co-localize with genome-wide association study (GWAS) signals for lung function (FEV1/FVC), suggesting epigenetic alterations can mediate the effects of smoking on lung health. Our multi-tissue approach has identified smoking-associated regions in disease-relevant tissues, including effects that are shared across tissue types.

Mechanisms and potential applications of COPS6 in pan-cancer therapy

The COP9 signalosome subunit 6 (COPS6) is abnormally overexpressed in many malignancies, yet its precise role in carcinogenesis is unknown. To gain a better understanding of COPS6's role, the authors conducted a pan-cancer analysis using various bioinformatics techniques such as differential expression patterns, prognostic value, gene mutations, immune infiltration, correlation analysis, and functional enrichment assessment. Results showed that COPS6 was highly correlated with prognosis, immune cell infiltration level, tumor mutation burden, and microsatellite instability in patients with a range of tumor types. This suggests that COPS6 may be a potential target for cancer treatment. Overall, this research provides insight into COPS6's role in cancer development and its potential therapeutic applications.

Computational exploration of the significance of COPS6 in cancer: Functional and clinical relevance across tumor types

BACKGROUND

The COP9 signalosome subunit 6 (COPS6) has been implicated in cancer progression, while its precise role in most types of cancer remains elusive.

AIM

To investigate the functional and clinical relevance of COPS6 across various tumor types using publicly available databases.

METHODS

We used R software and online analysis databases to analyze the differential expression, prognosis, mutation and related functions of COPS6 in pan-cancer.

RESULTS

Differential expression analysis and survival analysis demonstrated that COPS6 was highly expressed and associated with high-risk profiles in the majority of cancer types. Possible associations between COPS6 expression level and prognostic outcomes were found using data from public databases. Mutational analysis revealed that missense mutations were the predominant type of COPS6 mutation. Additionally, positive correlations were identified between COPS6 expression level and tumor mutational burden and microsatellite instability in most types of cancer. Immune infiltration analysis demonstrated a negative correlation between COPS6 expression level and CD8+ T cell infiltration in certain types of cancer. The correlation between COPS6 expression level and cancer-associated fibroblast infiltration exhibited heterogeneity, in which a positive correlation was found in head and neck squamous cell carcinoma and tenosynovial giant cell tumor, and a negative correlation was identified in diffuse large B-cell lymphoma and thymoma. The correlation between COPS6 expression level and macrophage infiltration was closely related to macrophage type. Gene co-expression and enrichment analysis highlighted transcription elongation factor B polypeptide 2 and G protein pathway suppressor 1 were significantly and positively associated with COPS6 expression level. These genes were predominantly involved in processes, such as ubiquitin-mediated proteolysis and human immunodeficiency virus 1 infection.

CONCLUSION

In conclusion, this study systematically explored the significance of COPS6 across different tumor types, providing a solid foundation for considering COPS6 as a novel biomarker in cancer research.