Establishment of a cholangiocarcinoma risk evaluation model based on mucin expression levels.

BACKGROUND: Cholangiocarcinoma (CCA) is a highly malignant cancer, characterized by frequent mucin overexpression. MUC1 has been identified as a critical oncogene in the progression of CCA. However, the comprehensive understanding of how the mucin family influences CCA progression and prognosis is still incomplete. AIM: To investigate the functions of mucins on the progression of CCA and to establish a risk evaluation formula for stratifying CCA patients. METHODS: Single-cell RNA sequencing data from 14 CCA samples were employed for elucidating the roles of mucins, complemented by bioinformatic analyses. Subsequent validations were conducted through spatial transcriptomics and immunohistochemistry. The construction of a risk evaluation model utilized the least absolute shrinkage and selection operator regression algorithm, which was further confirmed by independent cohorts and diverse data types. RESULTS: CCA tumor cells with elevated levels of MUC1 and MUC4 showed activated nucleotide metabolic pathways and increased invasiveness. MUC5AC-high cells were found to promote CCA progression through WNT signaling. MUC5B-high cells exhibited robust cellular oxidation activities, leading to resistance against antitumoral treatments. MUC13-high cells were observed to secret chemokines, recruiting and transforming macrophages into the M2-polarized state, thereby suppressing antitumor immunity. MUC16-high cells were found to promote tumor progression through interleukin-1/nuclear factor kappa-light-chain-enhancer of activated B cells signaling upon interaction with neutrophils. Utilizing the expression levels of these mucins, a risk factor evaluation formula for CCA was developed and validated across multiple cohorts. CCA samples with higher risk factors exhibited stronger metastatic potential, chemotherapy resistance, and poorer prognosis. CONCLUSION: Our study elucidates the functional mechanisms through which mucins contribute to CCA development, and provides tools for risk stratification in CCA.

Total Salvianolic Acid Injection Prevents Ischemia/Reperfusion-Induced Myocardial Injury Via Antioxidant Mechanism Involving Mitochondrial Respiratory Chain Through the Upregulation of Sirtuin1 and Sirtuin3.

Sirtuin1 (Sirt1) and Sirtuin3 (Sirt3) are known to participate in regulating mitochondrial function. However, whether Total Salvianolic Acid Injection (TSI) protects against myocardial ischemia/reperfusion (I/R) injury through regulating Sirt1, Sirt3, and mitochondrial respiratory chain complexes is unclear. The aim of this study was to explore the effects of TSI on I/R-induced myocardial injury and the underlying mechanism. Male Sprague-Dawley rats were subjected to 30 min occlusion of the left anterior descending coronary artery followed by 90 min reperfusion with or without TSI treatment (8 mg/kg/h). The results demonstrated that TSI attenuated I/R-induced myocardial injury by the reduced infarct size, recovery of myocardial blood flow, and decreased cardiac apoptosis. Moreover, TSI protected heart from oxidative insults, such as elevation of myeloperoxidase, malondialdehyde, hydrogen peroxide, ROS, as well as attenuated I/R-elicited downregulation of Sirt1, Sirt3, NADH dehydrogenase [ubiquinone] 1 alpha subcomplex 10 (NDUFA10), succinate dehydrogenase complex, subunit A, flavoprotein variant (SDHA), and restoring mitochondrial respiratory chain complexes activity. The in vitro study in H9c2 cells using siRNA transfection further confirmed the critical role of Sirt1 and Sirt3 in the effect of TSI on the expression of NDUFA10 and SDHA. These results demonstrated that TSI attenuated I/R-induced myocardial injury via inhibition of oxidative stress, which was related to the activation of NDUFA10 and SDHA through the upregulation of Sirt1 and Sirt3.

Long non-coding RNA p10247, high expressed in breast cancer (lncRNA-BCHE), is correlated with metastasis.

Recent studies have shown that long non-coding RNAs (lncRNAs) have key functions during breast cancer development. Considering the complexity of IncRNAs regulatory network, the identification of novel and functional lncRNAs associated with breast cancer is thus very important. By using Agilent LncRNA Human Gene Expression Microarray, we identified a number of lncRNAs that were differentially expressed in breast cancer compared to their corresponding adjacent tissues. According to the microarray, the expression of p10247, henceforth named as lncRNA-BCHE (standing for lncRNA high expressed in breast cancer), was found to be uniformly higher in all the five breast cancer tissues tested, and this was further confirmed in 56 breast cancer tissues by real-time RT-PCR. The function of lncRNA-BCHE in breast cancer cells was tested by knockdown and over-expression experiments in vitro. We also analyzed the public cohorts of breast cancer patients on the Kaplan Meier plotter platform. Clinical analysis revealed that the expression of lncRNA-BCHE was significantly correlated with advanced clinical stage and lymph node metastasis. Our data indicate that lncRNA-BCHE regulates the growth, migration and invasion of breast cancer cells. In addition, we found that these functions are mediated, at least in part, by the regulation of integrin subunit beta 1 (ITGB1) levels. The expression of ITGB1 serves as a negative prognostic factor and metastasis risk predictor in breast cancer, irrespective of subtype and therapeutic regimen. In summary, our results suggest that lncRNA-BCHE is an oncogenic lncRNA enhancing the growth and metastatic potential of breast cancer cells, and a potential predictor of breast cancer metastatic progression.