TREM2 Is a Prognostic Biomarker and Correlated with an Immunosuppressive Microenvironment in Thyroid Cancer

TREM2 promotes the proliferation and invasion of renal cell carcinoma cells by inhibiting the P53 signaling pathway

Renal cell carcinoma (RCC) is a prevalent malignancy characterized by poor prognosis and high mortality. The role of triggering receptor expressed on myeloid cells-2 (TREM2) in RCC progression has been increasingly recognized, yet its underlying mechanisms remain to be fully elucidated. The aim of the present study was to assess the effects of TREM2 on RCC cells and its potential mechanisms. Lentiviral transfection was used to knockdown and overexpress TREM2 in RCC cells, and the expression level of TREM2 was evaluated using reverse transcription-quantitative PCR. Cell Counting Kit-8 (CCK-8) and 5-ethynyl-2'-deoxyuridine (EdU) assays were used to assess the proliferation of the RCC cells. Cell migration and invasion was evaluated using the wound healing assay and Transwell assay, respectively. Western blotting was used to assess the expression levels of TREM2, P53, p-P53, P21 and p-P21 in TREM2 knockdown or overexpression RCC cells. The results demonstrated that the expression level of TREM2 was significantly higher in cancer tissues compared with adjacent normal tissues. The results of the CCK-8 and EdU assays demonstrated that knockdown of TREM2 significantly inhibited the proliferation of RCC cells, whilst overexpression of TREM2 enhanced the proliferation of RCC cells. The results of the wound healing and Transwell assay revealed that, compared with the control group, the overexpression of TREM2 significantly increased the migration and invasion of RCC cells, whereas knockdown of TREM2 significantly decreased the migration of RCC cells. In addition, western blotting demonstrated that the phosphorylation levels of P53 and P21 proteins were significantly increased after TREM2 knockdown in RCC cells. In conclusion, TREM2 is highly expressed in RCC tissues and promotes the migration of RCC cells by inhibiting the P53 signaling pathway. The present study provides new insights into the regulatory effect of TREM2 on RCC and further reveals the potential of TREM2 as a therapeutic target for RCC.

Clinical utility of keratin 14 expression measurement in reflecting the tumor properties and prognosis in patients with renal cell carcinoma: a study with long-term follow-up

PURPOSE

Keratin 14 (KRT14) is hypothesized to be involved in the pathogenesis of renal cell carcinoma (RCC) based on its tumorigenic role in various cancers and its relationship with the prognosis of other urinary system malignancies. This study aimed to evaluate the correlation of KRT14 with tumor properties and prognosis in RCC patients.

METHODS

Data from 180 RCC patients who received tumor resection were retrospectively reviewed. The KRT14 was assessed by immunohistochemistry (IHC) staining in tumor tissues and non-tumor tissues.

RESULTS

KRT14 was insufficiently expressed in both tumor and non-tumor tissues, with median (interquartile range) IHC score of 2.0 (0.0-3.4) and 1.0 (0.0-2.0), respectively. While it was relatively higher in tumor versus non-tumor tissues (P < 0.001). Besides, tumor KRT14 was positively correlated with the pathological grade (P = 0.038), tumor size (P = 0.012), T stage (P = 0.006), and TNM stage (P = 0.018). Interestingly, tumor KRT14 high predicted shorter accumulating recurrence-free survival (RFS) (P = 0.003) and accumulating overall survival (OS) (P = 0.001), which was further verified by the multivariate Cox's regression analysis (both P < 0.05). Furthermore, tumor KRT14 high estimated shorter RFS and OS from the Gene Expression Profiling Interactive Analysis and Human Protein ATLAS databases (all P < 0.05). Subgroup analyses indicated that the correlation of tumor KRT14 with accumulating RFS and accumulating OS was more pronounced in RCC patients with better physical status (such as age < 65 years and better eastern cooperative oncology group performance status) and higher tumor stages (such as higher pathological grade).

CONCLUSION

High KRT14 in tumor tissue could reflect an advanced tumor features and unsatisfying survival in RCC patients.

Mechanisms of TREM2 mediated immunosuppression and regulation of cancer progression

Cancer immunotherapy has recently emerged as a key strategy for cancer treatment. TREM2, a key target for regulating the tumor immune microenvironment, is important in cancer treatment and progression. TREM2 is an immune signaling hub that regulates multiple pathological pathways. It not only suppresses anti-tumor immune responses by inhibiting T cell-mediated immune responses, but it also influences tumorigenesis by affecting NK cell-mediated anti-tumor immunity. Noticeably, TREM2 expression levels also vary significantly among different tumor cells, and it can regulate tumor progression by modulating various signaling pathways. Above all, by summarizing the role of TREM2 in cancer immunotherapy and the mechanism by which TREM2 regulates tumor progression, this paper clarifies TREM2's role in both tumor progression and cancer therapy, identifying a new therapeutic target for oncology diseases.

Hub gene of disulfidptosis-related immune checkpoints in breast cancer

Disulfidptosis and immune checkpoint genes play an important role in tumor treatment. But there has been less research on the relationship between disulfidptosis and immune checkpoint of breast cancer. The objective of this study was to identify the hub genes of disulfidptosis- related immune checkpoints in breast cancer. We downloaded breast cancer expression data from The Cancer Genome Atlas database. The expression matrix of disulfidptosis-related immune checkpoints genes was established by mathematical method. A protein-protein interaction networks was established based on this expression matrix, and differential expression analysis was performed between normal and tumor samples. Additionally, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed to functionally annotate putative diferentially expressed genes. Two hub genes CD80 and CD276 were obtained by mathematical statistics and machine learning. Differential expression of these two genes, prognostic survival analysis, combined diagnostic ROC curve and immune results all showed that they were closely related to the occurrence, development and death of breast tumors. The results of this study open up a new way to explore immunotherapy for breast cancer.