Clinical value of anoikis-related genes and molecular subtypes identification in bladder urothelial carcinoma and in vitro validation.

Background: Anoikis is a programmed cell death process that was proven to be associated with cancer. Uroepithelial carcinoma of the bladder (BLCA) is a malignant disease of the urinary tract and has a strong metastatic potential. To determine whether anoikis-associated genes can predict the prognosis of BLCA accurately, we evaluated the prognostic value of anoikis-associated genes in BLCA and constructed the best model to predict prognosis. Method: The BLCA transcriptome data were downloaded from TCGA and GEO databases, and genes with differential expression were selected and then clustered using non-negative matrix factorization (NMF). The genes with the most correlation with anoikis were screened and identified using univariate Cox regression, lasso regression, and multivariate Cox regression. The GEO dataset was used for external validation. Nomograms were created based on risk characteristics in combination with clinical variants and the performance of the model was validated with receiver operating characteristic (ROC) curves. The immunotherapeutic significance of this risk score was assessed using the immune phenomenon score (IPS). IC50 values of predictive chemotherapeutic agents were calculated. Finally, we used RT-qPCR to determine the mRNA expression of four genes, CALR, FASN, CASP6, and RAD9A. Result: We screened 406 tumor samples and 19 normal tissue samples from the TCGA database. Based on anoikis-associated genes, we classified patients into two subtypes (C1 and C2) using NMF method. Subsequently, nine core genes were screened by multiple methods after analysis, which were used to construct risk profiles. The design of nomograms based on risk profiles and clinical variables, ROC, and calibration curves confirmed that the model could well have the ability to predict the survival of BLCA patients at 1, 3, and 5 years. By predicting the IC50 values of chemotherapeutic drugs, it was learned that the high-risk group (HRG) was more susceptible to paclitaxel, gemcitabine, and cisplatin, and the low-risk group (LRG) was more susceptible to veriparib and afatinib. Conclusion: In summary, the risk score of anoikis-associated genes can be applied as a predictor to predict the prognosis of BLCA in clinical practice.

Application value of miRNA-182 as a biomarker for cancer diagnosis: a systematic review with meta-analysis.

Aim: This study aims to establish the potential reliability and validity of miRNA-182 as a diagnostic tool in oncology, and hence to contribute to the decision-making process in clinical settings. Materials & methods: To further evaluate the role of miRNA-182 as a cancer biomarker, we conducted a search of the PubMed, Cochrane Library, Wanfang and China National Knowledge Infrastructure databases of existing literature. Conclusion: These results suggest that miRNA-182 could function as a potential molecular marker for cancer detection and diagnosis. The effect of miRNA-182 on tumor development should be further studied to confirm these results and add to the current understanding of its role in cancer.

A meta-analysis involves integrating the results from various studies to create a comprehensive understanding or view of the research topic. This review with meta-analysis presents an exhaustive evaluation of the effectiveness of a tiny molecule in our cells that helps control what our genes do named miRNA-182 as a signal that indicates a certain disease or condition for a variety of cancer types which we also called biomarkers. By assembling and analyzing a broad spectrum of research papers, the study assesses the specificity, sensitivity and overall diagnostic accuracy of miRNA-182 in cancer detection. The analysis incorporates diverse studies, ensuring an inclusive assessment of miRNA-182 across different types and stages of cancer. The review presents data from numerous clinical trials and studies, providing an in-depth examination of the variations in miRNA-182 levels between cancer patients and healthy individuals. Meta-analysis findings suggest that miRNA-182 demonstrates high diagnostic precision, surpassing traditional biomarkers in certain instances. This evidence underscores its potential value in clinical settings, notably in cancers where early detection is essential for effective treatment. Highlighting the emerging significance of miRNA biomarkers in the study of cancer, this review emphasizes the potential of miRNA-182 in enhancing early cancer detection, which could profoundly influence treatment outcomes. The findings propose that miRNA-182 may substantially improve early cancer detection and patient outcomes, indicating a substantial stride forward in tools and tests used to detect and understand cancer. Finally, the review advocates for larger, more diverse sample sizes and standardization of methodologies. These improvements will further validate miRNA-182's reliability as a cancer biomarker, establishing its diagnostic capabilities and promoting its integration into clinical practice.

Protein corona-driven nanovaccines improve antigen intracellular release and immunotherapy efficacy.

During vaccine delivery in vivo, the vaccine carrier dynamically adsorbs the surrounding proteins or biomacromolecules to form a protein corona layer, which determines the physiological and therapeutic responses of the vaccine. Although the importance of the protein corona effect in drug delivery is widely accepted, understanding of the rational use of the protein corona to improve antigen controlled release is still sparse. Here, we constructed a protein corona-driven nanovaccine (PCNV), which has the dual effects of resisting the protein corona-induced antigen extracellular release and promoting protein corona-triggered antigen cytosolic release under reductive conditions. Specifically, the nanovaccine was formulated via the assembly of fluorinated dendrigraft-poly-lysine and cleavable antigen-CpG conjugate. Before entering antigen-presenting cells (APCs), the anchoring effect of CpG was used to avoid the dissociation of antigens from the carrier even under the protein corona effect. While nanovaccine enters the APCs, the intracellular reducing conditions can induce a break in the disulfide bond between CpG and antigen. Notably, at the same time, the intracellular protein corona effect triggers antigen release from the carrier and achieves efficient antigen presentation. In addition, the PCNV produced a significant prophylactic and therapeutic antitumor response in the mouse model. Therefore, the rational use of the protein corona effect provides an effective strategy for vaccine delivery.

Targeted Methylation of the LncRNA NEAT1 Suppresses Malignancy of Renal Cell Carcinoma.

Long-chain non-coding RNA (LncRNA) has been found to play an important role in the regulation of the occurrence and progression of renal cell carcinoma (RCC). In this study, we demonstrated that LncRNA NEAT1 expression and m6A methylation level was decreased in RCC tissues. Further, the downregulated expression level of LncRNA NEAT1 was associated with poor prognosis for RCC patients. Then we used CRIPSR/dCas13b-METTL3 to methylate LncRNA NEAT1 in RCC cells. The results showed that the expression level of LncRNA NEAT1 was upregulated after methylated by dCas13b-METTL3 in RCC cells. And the proliferation and migration ability of RCC cells was decreased after methylated LncRNA NEAT1. Finally, we examined the effect of LncRNA NEAT1 hypermethylation on the transcriptome. We found differentially expressed genes in RCC cells were associated with "cGMP-PKG signaling pathway", "Cell adhesion molecules" and "Pathways in cancer". In conclusion, CRISPR/Cas13b-METTL3 targeting LncRNA NEAT1 m6A methylation activates LncRNA NEAT1 expression and provides a new target for treatment of RCC.

YTHDF2 is a Potential Biomarker and Associated with Immune Infiltration in Kidney Renal Clear Cell Carcinoma.

Clear cell renal cell carcinoma (ccRCC or KIRC) has a high mortality rate globally. It is necessary to identify biomarkers and investigate the mechanisms those biomarkers are associated with, to improve the prognosis of patients with KIRC. N6-Methyladenosine (m6A) affects the fate of modified RNA molecules and is involved in tumor progression. Different webservers were used in our research to investigate the mRNA transcription and clinical significance of YTHDF2 in KIRC. Survival analysis revealed that patients with elevated YTHDF2 transcription had a slightly longer OS and DFS than those with low YTHDF2 expression. YTHDF2 expression was shown to be significantly associated with the abundance of immune cells such as B cells, CD8+ T cells, CD4+ T cells, macrophages, neutrophils, and dendritic cells. For a series of enrichment studies, we combined information on YTHDF2-binding molecules and expression-linked genes and identified the possible influence of "mRNA surveillance pathway," "RNA degradation," and "RNA transport" in the biology or pathogeny of KIRC. In addition, we identified multiple miRNA, kinase, and transcription factor targets of YTHDF2 in KIRC and constructed target networks. Overall, our findings show that YTHDF2 is a possible indicator of immune infiltration in the KIRC.