Construction of lncRNA prognostic model related to cuproptosis in esophageal carcinoma

Exploration on the construction of a bladder cancer prognostic model based on disulfidptosis-related lncRNAs and its clinical significance

Disulfidptosis is a novel programmed cell death mode that has been reported to play a role in oncogenesis. Increasing evidences suggest that the long non-coding RNAs (lncRNAs) play crucial roles in the initiation and progression of bladder cancer (BLCA). However, the role and prognostic value of disulfidptosis-related lncRNAs in BLCA remain unknown.The aim of this study was to construct and validate a disulfidptosis-related lncRNA risk model for predicting the prognosis of BLCA patients. A risk model consisting of 5 disulfidptosis-related lncRNAs was developed to predict the prognosis of BLCA patients. The overall survival (OS) of BLCA patients in the high-risk group was significantly shorter than that in the low-risk group (P < 0.05). The effectiveness of this model was validated using the receiver operating characteristic (ROC) curve analysis, and this model proved superior in prognostic accuracy compared with other clinical features. Furthermore, the tumor immune dysfunction and exclusion (TIDE) score in the high-risk group was significantly higher than that in the low-risk group, suggesting that the high-risk group had a less favorable response to immunotherapy. Simultaneously, patients in the low-risk group exhibited significantly higher sensitivity to CTLA-4 monoclonal antibody therapy compared to those in the high-risk group, suggesting potential benefits of immunotherapy for patients in the low-risk group. The combination of high risk and low tumor mutational burden (TMB) could further shortened the OS of BLCA patients. Lastly, the drug sensitivity analysis revealed that the BLCA cells in the high-risk group showed an increased sensitivity to cisplatin, sunitinib, cetuximab, axitinib, docetaxel, saracatinib, vinblastine and pazopanib compared with those in the low-risk group. According to the Quantitative real time PCR results, we found that five lncRNAs of the risk model were more highly expressed in BCa cell lines than human immortalized uroepithelial cell line. The disulfidptosis-related lncRNA risk model has a valuable effect in assessing the prognosis of BLCA patients.

Prognosis prediction of head and neck squamous cell carcinoma through the basement membrane-related lncRNA risk model

Background

Head and neck squamous cell carcinoma (HNSCC) ranks among the most widespread and significantly heterogeneous malignant tumors globally. Increasing evidence suggests that the basement membrane (BM) and associated long non-coding RNAs (lncRNA) are correlated with the onset of HNSCC and its prognosis. Our study aims to construct a basement membrane-associated lncRNAs (BMlncRNAs) marker to accurately predict the prognosis of HNSCC patients and find novel immunotherapy targets.

Methods

The Cancer Genome Atlas (TCGA) database was accessed to acquire the transcriptome expression matrices, somatic mutation data, and clinical follow-up data of HNSCC patients. Utilizing co-expression analysis, the BMlncRNAs were identified and the differentially expressed lncRNAs (DEBMlncRNA) were then filtered, The filtering thresholds are FDR<0.05 and |log2FC|≥1. Furthermore, univariate analysis, least absolute shrinkage and selection operator (LASSO), and multivariable Cox regression were utilized to develop the risk model. The model then underwent thorough evaluation across diverse perspectives, encompassing tumor immune infiltration, tumor mutation burden (TMB), functional enrichment, and chemotherapy sensitivity.

Results

The risk assessment model consists of 14 BMlncRNA pairs. The acquired data is indicative of the reliability of the risk score in its capacity as a prognostic factor. Individuals at high risk exhibited a poorer prognosis, and a statistically significant variance was noted in TMB and tumor immune infiltration compared to the low-risk group. Additionally, heightened sensitivity to paclitaxel and docetaxel was evident in the patients at high risk.

Conclusion

We have established a BMLncRNA-based prognostic model that can provide clinical guidance for future laboratory and clinical studies of HNSCC.

Quercetin Attenuates Acute Kidney Injury Caused by Cisplatin by Inhibiting Ferroptosis and Cuproptosis

Ferroptosis, an iron- and ROS-dependent form of regulated cell death. Cuproptosis is a novel form of cellular demise mode. Quercetin, a natural flavonoid, has demonstrated a range of pharmacological activities, including anti-cancer, anti-inflammatory, and antioxidant properties. In this research, we investigated the quercetin effect on cisplatin-induced acute kidney and its mechanism associated ferroptosis and cuproptosis. The HK-2 cells were used in this research. Cell viability was evaluated using the CCK-8 assay. Acute kidney injury (AKI) models were established to perform in vivo experiments. Renal tissue homogenate was used to determine ROS, LPO, MDA, PA, etc., to assess ferroptosis and cuproptosis. To perform bioinformatic analysis, microarray data from the GEO database was utilized. Real-time PCR analysis and ELISA was explored the mechanism of ferroptosis and cuproptosis. We found that ferroptosis and cuproptosis in AKI were abnormally activated caused by cisplatin, and that quercetin attenuated AKI by inhibiting ferroptosis and cuproptosis. QCT suppressed ferroptosis by reducing malondialdehyde (MDA) and ROS levels and increasing glutathione (GSH) levels and alleviated cuproptosis by reducing copper ion, pyruvate (PA) and HSP70 levels. Moreover, bioinformatic analysis revealed that the ferroptosis-related gene SLC7A11 and the cuproptosis-related genes ATP7B and GLS were the differential expression genes. And QCT significantly increased the expression or activity of SLC7A11, GPX4, ATP7B, and GLS in Cis-AKI mice. Our findings highlight the clinical importance of quercetin, which guards against cisplatin-induced acute kidney injury by suppressing ferroptosis and cuproptosis.

Highly Expressed Z-DNA Binding Protein 1 in Esophageal Cancer Promotes Tumor Growth

BACKGROUND

Esophageal cancer (ESCA) is a common malignant tumor of the digestive tract, and its poor prognosis is mainly attributed to the occurrence of invasion and metastasis. Z-DNA binding protein 1 (ZBP1), as a mRNA regulatory factor, plays an important role in the occurrence and development of various tumors. However, the role of ZBP1 in ESCA is not yet understood.

AIMS

This study aims to explore the expression of ZBP1 in ESCA and its role in the development of ESCA.

METHODS

Using bioinformatics analysis and immunohistochemistry staining, we detected the expression of ZBP1 in ESCA and normal tissues. The potential mechanism of ZBP1 in ESCA was analyzed from the aspects of genetic mutations, protein interaction networks, and pathway enrichment. We performed functional experiments in vitro to elucidate the effect of ZBP1 on ESCA cells.

RESULTS

ZBP1 was found to be significantly upregulated in ESCA compared to adjacent noncancerous tissues, and its expression is closely related to gender, age, and lymph node metastasis. In ESCA, the genetic variation rate of ZBP1 is 8%, and its expression is positively correlated with immune cell infiltration. The ZBP1 co-expressed gene is mainly involved in processes such as lymph node proliferation and intercellular adhesion. In vitro experiments have confirmed that downregulation of ZBP1 significantly inhibited the proliferation, migration, and invasion of ESCA cells.

CONCLUSION

This research proves that downregulation of ZBP1 can inhibit the progression of ESCA. This finding indicates that ZBP1 may be a novel biomarker to improve the diagnosis and treatment of ESCA.