Unveiling a cuproptosis-related risk model and the role of FARSB in hepatocellular carcinoma.

Background: Cuproptosis, a type of regulated cell death that was recently identified, has been linked to the development of a variety of diseases, among them being cancers. Nevertheless, the prognostic significance and therapeutic implications of the cuproptosis potential index in hepatocellular carcinoma (HCC) remain uncertain. Methods: Single-sample gene set enrichment analysis (ssGSEA) and Weighted Gene Co-expression Network Analysis (WGCNA) methodology was conducted to ascertain the identification of modular genes that are closely linked to cuproptosis. In addition, the gene signature indicative of prognosis was formulated by employing univariate Cox regression analysis in conjunction with a random forest algorithm. The efficacy of this gene signature in predicting outcomes was confirmed through validation in both The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) datasets. Furthermore, a study was undertaken to evaluate the association between the risk score and various clinical-pathological characteristics, explore the biological processes linked to the gene signature, and analyze tumor mutational burden and somatic mutations. Lastly, potential drugs targeting the identified gene signature were identified through screening. Results: The results of our comprehensive analysis across multiple cancer types demonstrated a positive correlation between an elevated cuproptosis potential index (CPI) and an accelerated rate of tumor progression. Furthermore, employing the WGCNA technique, we successfully identified 640 genes associated with cuproptosis. Among these genes, we meticulously screened and validated a seven-gene signature (TCOF1, NOP58, TMEM69, FARSB, DHX37, SLC16A3, and CBX2) that exhibited substantial prognostic significance. Using the median risk score, the division of HCC patients into cohorts with high- and low-risk highlighted significant disparities in survival results, wherein the group with higher risk exhibited a less favorable overall survival. The risk score exhibited commendable predictive efficacy. Moreover, the in vitro knockdown of FARSB significantly hindered cell viability, induced G1 phase arrest, increased apoptosis, and impaired migration in HepG2 and Huh7 cells. Conclusion: Our research has successfully identified a strong seven-gene signature linked to cuproptosis, which could be utilized for prognostic evaluation and risk stratification in patients with HCC. Furthermore, the discovered gene signature, coupled with the functional analysis of FARSB, presents promising prospects as potential targets for therapeutic interventions in HCC.

Identification and Verification of a Prognostic Risk Signature in Oral Squamous Cell Carcinoma.

INTRODUCTION: Oral squamous cell carcinoma (OSCC) is a prevalent malignant condition. This study aimed to investigate the role of mTORC1 signaling and develop a prognostic model for OSCC. MATERIALS AND METHODS: The single-sample gene set enrichment analysis (ssGSEA) algorithm was utilized to calculate the Z-Score of Hallmarks in OSCC, followed by univariate Cox regression analysis to identify processes associated with prognosis. Weighted gene co-expression network analysis (WGCNA) was performed using transcriptomic data from the cancer genome atlas (TCGA) cohort to identify genes correlated with mTORC1 signaling. A six-gene prognostic model was constructed using multifactorial Cox regression analysis and validated using an external dataset. RESULTS: The study uncovered a strong linkage between mTORC1, glycolysis, hypoxia, and the prognosis of OSCC. mTORC1 signaling emerged as the most significant risk factor, negatively impacting patient survival. Additionally, a six-gene prognostic risk score model was developed which provided a quantitative measure of patients' survival probabilities. Interestingly, within the context of these findings, TP53 gene mutations were predominantly observed in the high-risk group, potentially underlining the genetic complexity of this patient subgroup. Additionally, differential immune cell infiltration and an integrated nomogram were also reported. CONCLUSION: This study highlights the importance of mTORC1 signaling in OSCC prognosis and presents a robust prognostic model for predicting patient outcomes.

Investigation of the feasibility of NRAV as a biomarker for hepatocellular carcinoma.

The long non-coding RNA, Negative Regulator of Antiviral Response (NRAV) has been identified as a participant in both respiratory virus replication and immune checkpoints, however, its involvement in pan-cancer immune regulation and prognosis, particularly those of hepatocellular carcinoma (HCC), remains unclear. To address this knowledge gap, we analyzed expression profiles obtained from The Cancer Genome Atlas (TCGA) database, comparing normal and malignant tumor tissues. We found that NRAV expression is significantly upregulated in tumor tissues compared to adjacent nontumor tissues. Kaplan-Meier (K-M) analysis revealed the prognostic power of NRAV, wherein overexpression was significantly linked to reduced overall survival in a diverse range of tumor patients. Furthermore, noteworthy associations were observed between NRAV, immune checkpoints, immune cell infiltration, genes related to autophagy, epithelial-mesenchymal transition (EMT), pyroptosis, tumor mutational burden (TMB), and microsatellite instability (MSI) across different cancer types, including HCC. Moreover, NRAV upregulation expression was associated with multiple pathological stages by clinical observations. Furthermore, our investigation revealed a substantial elevation in the expression of NRAV in both HCC tumor tissues and cells compared to normal tissues and cells. The inhibition of NRAV resulted in the inhibition of cell proliferation, migration, and invasion in HCC cells, while also influencing the expression of CD274 (PD-L1) and CD44, along with various biomarkers associated with EMT, autophagy, and pyroptosis. The aforementioned results propose NRAV as a promising prognostic biomarker for HCC.

Metal-polyphenol nanodots loaded hollow MnO2 nanoparticles with a "dynamic protection" property for enhanced cancer chemodynamic therapy.

Chemodynamic therapy (CDT) is a novel cancer therapeutic strategy. However, barriers such as high glutathione (GSH) concentration and low concentration of metal ions intracellular reduce its treatment effect. In this work, a nanosystem named GA-Fe@HMDN-PEI-PEG with a "dynamic protection" property was reported for enhanced cancer CDT. Mesoporous hollow manganese dioxide (MnO2) nanoparticle (HMDN) was prepared to load gallic acid-ferrous (GA-Fe) nanodots fabricated from gallic acid (GA) and ferrous ion (Fe2+). Then the pores of HMDN were blocked by polyethyleneimine (PEI), which was then grafted with methoxy poly(ethylene glycol) (mPEG) through a pH-sensitive benzoic imine bond. mPEG could protect the nanoparticles (NPs) against the nonspecific uptake by normal cells and enhance their accumulation in the tumor. However, in the slightly acidic tumor microenvironment, hydrolysis of benzoic imine led to DePEGylation to reveal PEI for enhanced uptake by cancer cells. The reaction between HMDN and GSH could consume GSH and obtain manganese ion (Mn2+) for the Fenton-like reaction for CDT. GA-Fe nanodots could also offer Fe for the Fenton reaction, and reductive GA could reduce the high-valence ions to low-valence for reusing in Fenton and Fenton-like reactions. These properties allowed GA-Fe@HMDN-PEI-PEG for precise medicine with a high utilization rate and common side effects.

Multi-stimuli responsive hollow MnO2-based drug delivery system for magnetic resonance imaging and combined chemo-chemodynamic cancer therapy.

The exploration and application of hollow manganese dioxide nanoparticle (HMDN) for biosensing and biomedicine has gained significant research attention in the past decade. In this study, a type of biodegradable HMDN is prepared for multi-stimuli responsive tumor-targeted drug delivery, which was successfully loaded with doxorubicin hydrochloride (DOX). Then, the drug-loaded HMDN is functionalized with polyethyleneimine (PEI) as a gatekeeper followed by citraconic anhydride (cit) functionalized poly-L-lysine (PLL(cit)) as a charge reversal moiety successively to yield the resultant DOX@HMDN-PEI-PLL(cit) nanoparticles. In vitro study showed that DOX@HMDN-PEI-PLL(cit) exhibited a ''stealthy'' property under physiological conditions and enhanced cellular uptake activity in response to the mild acidic tumor microenvironment due to the departure of cit. In vitro release profiles proved that the decomposition of HMDN to Mn2+ under acidic condition/high glutathione (GSH) concentration triggered the release of DOX and Fenton-like reaction for improved therapeutic effect. And Mn2+ could also act as a T1-weighted magnetic resonance imaging (MRI) contrast agent. In vivo studies further proved with both the charge reversal and combined therapy properties, DOX@HMDN-PEI-PLL(cit) showed a good tumor enrichment ability and therapeutic effect with few side effects to the mice. These results demonstrate that DOX@HMDN-PEI-PLL(cit) nanoparticles are promising drug delivery systems for targeted cancer therapy. STATEMENT OF SIGNIFICANCE: Traditional chemotherapy based on anticancer drugs such as doxorubicin hydrochloride (DOX) shows limited efficacy with serious side effects. We employed hollow manganese dioxide nanoparticle (HMDN) to loaded DOX and coated it with polyethyleneimine and then citraconic anhydride functionalized poly-L-lysine to endow it with a charge reversal property to obtain a multi-stimuli responsive drug delivery system named DOX@HMDN-PEI-PLL(cit). It was ''stealthy'' with low cellular uptake capability by normal cells, but could be "acid-activated" in tumors for endocytosis by cancer cells to reduce side effects. HMDN could be decomposed to Mn2+ under acidic conditions/high glutathione concentration to release DOX intracellular. DOX and Mn2+ catalyzed Fenton-like reaction could achieve a combined chemo-chemodynamic therapy. And Mn2+ could be used for T1-weighted magnetic resonance imaging.

A novel intratumoral pH/redox-dual-responsive nanoplatform for cancer MR imaging and therapy.

The integration of diagnostic and therapeutic functions in a nanoplatform has been a rapidly emerging method in the management of cancer. The application of imaging technology paves the way to track the pharmacokinetics of the nanoplatforms, to guide the treatment, and to monitor the therapeutic processes and outcomes. Herein, we reported a novel type of monodisperses mesoporous silica-coated superparamagnetic iron oxide-based multifunctional nanoplatform (DOX@MMSN-SS-PEI-cit) for the diagnosis and treatment of cancer. The fabrication process included the surface modification of monodisperses mesoporous silica nanoparticle (MMSN) with branched polyethyleneimine (PEI) via disulfide bonds and the further coupling of citraconic anhydride to PEI. Typically, the hydrolysis of amide bonds in the tumor microenvironment (TME) could lead to a negative-to-positive charge reversion, which can enhance the endosomal escape of the resulting nanoplatform. The rapid release of doxorubicin hydrochloride (DOX) directly killed the cancer cells. Due to the superparamagnetic iron oxide-based high-resolution T2-weighted MR imaging contrast agents, this novel multifunctional nanoplatform successfully realized MR imaging, targeted drug delivery and controlled release in one system, and achieved significant improvement in tumor diagnosis and therapy. In summary, the therapeutic nanoplatform is a promising option in precise cancer treatment.