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Background: In recent years, the incidence of thyroid cancer (TC), the most common endocrine malignancy, has been increasing. Emerging evidence indicates that the CUT/CUX/CDP family of proteins can play an important role in tumor development and progression by regulating many cancer-related functions. However, the molecular functions of CUX2 in TC remain unknown. Methods: In this study, we used a series of loss-of-function experiments and Western blot analysis to investigate the function of CUX2 in TC and the mechanisms involved. Results: Our data revealed that CUX2 expression levels were upregulated in papillary thyroid cancer (PTC). Functionally, CUX2 silencing significantly inhibited PTC cell line (KTC-1 and BCPAP) proliferation, colony formation, migration, invasion, and apoptosis. Furthermore, CUX2 induced epithelial–mesenchymal transition (EMT) and influenced the phosphorylation of AKT and mTOR in the PI3K–AKT–mTOR pathways. Conclusion: In summary, CUX2 may function as a tumor promoter in TC. [ABSTRACT FROM AUTHOR]

Background: Papillary thyroid carcinoma (PTC) is the most common type of thyroid carcinoma, which is associated with a high incidence of lymph-node metastasis. Multiple biomarkers have been identified for the precise diagnosis of PTC at an early stage. However, their role in PTC remains poorly elucidated. Previously, we reported that lipase H (LIPH), a membrane-bound protein, was highly expressed in PTC. This study aimed to fully elucidate the causal role of LIPH in the development of PTC and investigated its relationship with lymph-node metastasis in PTC. Materials and methods: Quantitative reverse transcription PCR and immunohistochemistry were used to measure the mRNA and protein expression levels of LIPH in 45 and 6 pairs of PTC tissues and adjacent normal tissues, respectively. Clinical tissue data of 504 PTC tissues and 60 normal thyroid tissues from The Cancer Genome Atlas database were used to analyze the correlation between LIPH expression level and clinical features in PTC. siRNAs were used to knock down genes, while plasmids were used to overexpress genes. Two PTC cell lines (KTC-1 and BCPAP) were used in subsequent cytological function studies. In addition, a hypoxia stress model was constructed using cobaltous chloride hexahydrate reagent, and the protein expression level of the corresponding biomarkers was measured by Western blotting. Results: This study revealed that high expression of LIPH in PTC was closely associated with lymph-node metastasis. Our cellular function experiments indicated that LIPH positively correlated with the malignant behavior of PTC cell lines. We further confirmed the role of LIPH in hypoxia and its relationship with the epithelial–mesenchymal transition pathway in PTC. Conclusion: LIPH plays an important role in PTC oncogenesis and development, especially in lymph-node metastasis. It can be regarded as a biomarker for the diagnosis and treatment of PTC in the near future. [ABSTRACT FROM AUTHOR]

Background: Transient depressive state (TDS) is a transient, negative emotional state caused by certain events or situations. Because of the similarity in depressive symptoms between depression and TDS that arise within 2 weeks of their onset, it is difficult to distinguish TDS from depression. The aims of the present study were to investigate the application value of selected serum indicators in the differential diagnosis of geriatric depression and TDS in the early stage and to provide evidence for treatment. Patients and methods: In this study, a total of 274 elderly patients were divided into the depression group (n=144) and the TDS group (n=130). All participants' serum samples were collected, and 9 selected serum indicators were analyzed. Afterward, 90 patients with depression and 90 patients with TDS were used to build the diagnostic model. A binary logistic regression analysis was used to establish regression models, and the area under the receiver operating characteristic (ROC) curve was drawn. Finally, another 54 patients with depression and 40 patients with TDS were used to validate our model. Results: For the 9 screening serum indicators, the 3 serum indicators selected to build the regression model were BDNF (P=0.001), IL-1946 (P<0.001), and cortisol (P<0.001). The regression equation was Y = 1/[1 + e-(-16.258 - 0.018 (BDNF) + 0.256 (IL-1946) + 0.093 (Cortisol))], and the ROC curve of combined detection was 0.926. The diagnostic rate of the logistic model was 89.36%. Conclusion: The logistic regression model and ROC curves based on serum levels of BDNF, IL-1β, and cortisol could distinguish depression from TDS in early stage, which could provide assistance to the differential diagnosis of geriatric depression and TDS. [ABSTRACT FROM AUTHOR]