Association between dichotomized VASARI feature and overall survival in glioblastoma patients: a single-institution propensity score matching analysis.

OBJECTIVES: This study aimed to investigate the intra- and inter-observer consistency of the Visually Accessible Rembrandt Images (VASARI) feature set before and after dichotomization, and the association between dichotomous VASARI features and the overall survival (OS) in glioblastoma (GBM) patients. METHODS: This retrospective study included 351 patients with pathologically confirmed IDH1 wild-type GBM between January 2016 and June 2022. Firstly, VASARI features were assessed by four radiologists with varying levels of experience before and after dichotomization. Cohen's kappa coefficient (κ) was calculated to measure the intra- and inter-observer consistency. Then, after adjustment for confounders using propensity score matching, Kaplan-Meier curves were used to compare OS differences for each dichotomous VASARI feature. Next, patients were randomly stratified into a training set (n = 211) and a test set (n = 140) in a 3:2 ratio. Based on the training set, Cox proportional hazards regression analysis was adopted to develop combined and clinical models to predict OS, and the performance of the models was evaluated with the test set. RESULTS: Eleven VASARI features with κ value of 0.61-0.8 demonstrated almost perfect agreement after dichotomization, with the range of κ values across all readers being 0.874-1.000. Seven VASARI features were correlated with GBM patient OS. For OS prediction, the combined model outperformed the clinical model in both training set (C-index, 0.762 vs. 0.723) and test set (C-index, 0.812 vs. 0.702). CONCLUSION: The dichotomous VASARI features exhibited excellent inter- and intra-observer consistency. The combined model outperformed the clinical model for OS prediction.

Identification of RBM15 as a prognostic biomarker in prostate cancer involving the regulation of prognostic m6A-related lncRNAs.

BACKGROUND: Long noncoding RNAs (lncRNAs) and N6-methyladenosine (m6A) modification of RNA play pivotal roles in tumorigenesis and cancer progression. However, knowledge regarding the expression patterns of m6A-related lncRNAs and their corresponding m6A regulators in prostate cancer (PCa) is limited. This study aimed to delineate the landscape of m6A-related lncRNAs, develop a predictive model, and identify the critical m6A regulators of prognostic lncRNAs in PCa. METHODS: Clinical and transcriptome data of PCa patients were downloaded from The Cancer Genome Atlas (TCGA) database. Prognostic m6A-related lncRNAs were subsequently identified through Pearson correlation and univariate Cox regression analyses. The prognostic lncRNAs were clustered into two groups by consensus clustering analysis, and a risk signature model was constructed using least absolute shrinkage and selection operator (LASSO) regression analysis of the lncRNAs. This model was evaluated using survival, clinicopathological, and immunological analyses. Furthermore, based on the constructed lncRNA-m6A regulatory network and RT-qPCR results, RBM15 was identified as a critical regulator of m6A-related lncRNAs. The biological roles of RBM15 in PCa were explored through bioinformatics analysis and biological experiments. RESULTS: Thirty-four prognostic m6A-related lncRNAs were identified and categorized into two clusters with different expression patterns and survival outcomes in PCa patients. Seven m6A lncRNAs (AC105345.1, AL354989.1, AC138028.4, AC022211.1, AC020558.2, AC004076.2, and LINC02666) were selected to construct a risk signature with robust predictive ability for overall survival and were correlated with clinicopathological characteristics and the immune microenvironment of PCa patients. Among them, LINC02666 and AC022211.1 were regulated by RBM15. In addition, RBM15 expression correlated with PCa progression, survival, and the immune response. Patients with elevated RBM15 expression were more susceptible to the drug AMG-232. Moreover, silencing RBM15 decreased the viability of PCa cells and promoted apoptosis. CONCLUSION: RBM15 is involved in the regulation of prognostic lncRNAs in the risk signature and has a robust predictive ability for PCa, making it a promising biomarker in PCa.

Disrupting CCDC137-mediated LZTS2 and ß-TrCP interaction in the nucleus inhibits hepatocellular carcinoma development via ß-catenin and AKT.

Hepatocellular carcinoma (HCC) is a highly heterogeneous solid tumor, with its biological characteristics intricately linked to the activation of oncogenes. This research specifically explored CCDC137, a molecule within the CCDC family exhibiting the closest association with HCC. Our investigation aimed to unravel the role, underlying mechanisms, and potential therapeutic implications of CCDC137 in the context of HCC. We observed a close correlation between elevated CCDC137 expression and poor prognosis in HCC patients, along with a promotive effect on HCC progression in vitro and in vivo. Mechanistically, we identified LZTS2, a negative regulator of ß-catenin, as the binding protein of CCDC137. CCDC137 facilitated K48-linked poly-ubiquitination of LZTS2 at lysine 467 via recruiting E3 ubiquitin ligase ß-TrCP in the nucleus, triggering AKT phosphorylation and activation of ß-catenin pathway. Moreover, the 1-75 domain of CCDC137 was responsible for the formation of the CCDC137-LZTS2-ß-TrCP complex. Subsequently, designed peptides targeting the 1-75 domain of CCDC137 to disrupt CCDC137-LZTS2 interaction demonstrated efficacy in inhibiting HCC progression. This promising outcome was further supported by HCC organoids and patient-derived xenograft (PDX) models, underscoring the potential clinical utility of the peptides. This study elucidated the mechanism of the CCDC137-LZTS2-ß-TrCP protein complex in HCC and offered clinically significant therapeutic strategies targeting this complex.

Effect of Overheating on the Tensile Properties of Nickel-Based Superalloy GH4720Li.

Aero-engines can be exposed to One Engine Inoperative (OEI) conditions during service, and the resulting overheating effect may significantly impact their structural integrity and flight safety. This paper focuses on the influence of overheating on the microstructural evolution and tensile properties of the GH4720Li alloy, a nickel-based polycrystalline superalloy commonly used in turbine disks. Based on the typical OEI operating conditions of a real aero-engine, a series of non-isothermal high-temperature tensile tests involving an OEI stage of 800 °C were conducted. The effects of OEI-induced overheating on the microstructure and tensile properties of the GH4720Li alloy were investigated. The results showed that, after OEI treatment, the primary γ' phase in this alloy was partially dissolved. The GH4720Li superalloy also exhibited numerous microcracks at the grain boundaries, resulting in complex effects on its tensile properties. The alloy's yield strength and ultimate tensile strength were slightly decreased, whereas its ductility decreased considerably. The OEI-induced embrittlement phenomenon was mainly caused by the non-uniform distribution of the tertiary γ' phase within grains. The formation of microcracks nucleated at the interfaces between the primary γ' precipitates and γ matrix phase was another key factor.

Targeting cellular senescence as a therapeutic vulnerability in gastric cancer.

AIMS: Cellular senescence (CS) represents an intracellular defense mechanism responding to stress signals and can be leveraged as a "vulnerability" in cancer treatment. This study aims to construct a CS atlas for gastric cancer (GC) and uncover potential therapeutics for GC patients. MATERIALS AND METHODS: 38 senescence-associated regulators with prognostic significance in GC were obtained from the CellAge database to construct Gastric cancer-specific Senescence Score (GSS). Using eXtreme Sum algorism, GSS-based drug repositioning was conducted to identify drugs that could antagonize GSS in CMap database. In vitro experiments were conducted to test the effect of combination of palbociclib and exisulind in eliminating GC cells. KEY FINDINGS: Patients with high GSS exhibited CS-related features, such as CS markers upregulation, adverse clinical outcomes and hypomethylation status. scRNA-seq data showed malignant cells with high GSS exhibited enhanced senescence state and more immunosuppressive signals such as PVR-CD96 compared with malignant cells with low GSS. In addition, the GSS-High cancer associated fibroblasts might secrete cytokines and chemokines such as IL-6, CXCL1, CXCL12, and CCL2 to from an immunosuppressive microenvironment, and GSS could serve as an indicator for immunotherapy resistance. Exisulind exhibited the greatest potential to reverse GSS. In vitro experiments demonstrated that exisulind could induce apoptosis and suppress the proliferation of palbociclib-induced senescent GC cells. SIGNIFICANCE: Overall, GSS offers a framework for better understanding of correlation between senescence and GC, which might provide new insights into the development of novel therapeutics in GC.

Regional lymph node mapping in patients with penile cancer undergoing radical inguinal lymph node dissection - a retrospective cohort study.

BACKGROUND: Radical inguinal lymph node dissection (rILND) is the most available treatment to cure penile cancer (PC) with limited inguinal-confined disease. However, guidelines regarding acceptable boundaries of rILND are controversial, and consensus is lacking. The authors aimed to standardize the surgical boundaries of rILND with definite pathological evidence and explore the distribution pattern of inguinal lymph nodes (ILNs) in PC. METHODS: A total of 414 PC patients from two centers who underwent rILND were enrolled. The ILN distribution was divided into seven zones anatomically for pathological examination. Student's t test and Kaplan-Meier survival analysis were used. RESULTS: ILNs displayed a funnel-shaped distribution with high density in superior regions. ILNs and metastatic nodes are present anywhere within the radical boundaries. Positive ILNs were mainly concentrated in zone I (51.7%) and zone II (41.3%), but there were 8.7% and 12.3% in inferior zones V and VI, respectively, and 7.1% in the deep ILNs. More importantly, a single positive ILN and first-station positive zone was detected in all seven regions. Single positive ILNs were located in zones I through VI in 40.4%, 23.6%, 6.7%, 18.0%, 4.5%, and 1.1%, respectively, and 5.6% presented deep ILN metastasis directly. CONCLUSIONS: The authors established a detailed ILN distribution map and displayed lymphatic drainage patterns with definite pathological evidence using a large cohort of PC patients. Single positive ILNs and first-station metastatic zones were observed in any region, even directly with deep ILN metastasis. Only rILND can ensure tumor-free resection without the omission of positive nodes.

MICAL2 implies immunosuppressive features and acts as an independent and adverse prognostic biomarker in pancreatic cancer.

At present, clinical outcomes of pancreatic cancer patients are still poor. New therapeutic targets for pancreatic cancer are urgently needed. Previous studies have indicated that Microtubule Associated Monooxygenase, Calponin and LIM Domain Containing 2 (MICAL2) is highly expressed in many tumors and promotes tumor progression. However, the role played by MICAL2 in pancreatic cancer remains unclear. Based on gene expression and clinical information from multiple datasets, we used comprehensive bioinformatics analysis in combination with tissue microarray to explore the function and clinical value of MICAL2. The results showed that MICAL2 was highly expressed in pancreatic cancer tissue and exhibited potential diagnostic capability. High expression of MICAL2 was also associated with poor prognosis and acted as an independent prognostic factor. MICAL2, mainly expressed in fibroblasts of pancreatic cancer, was closely related to metastasis and immune-related features, such as epithelial-mesenchymal transformation, extracellular cell matrix degradation, and inflammatory response. Furthermore, higher MICAL2 expression in pancreatic cancer was also associated with an increase in cancer-associated fibroblasts as well as M2 macrophage infiltration, and a reduction in CD8 + T cell infiltration, thereby facilitating the formation of an immunosuppressive microenvironment. Our results helped elucidate the clinical value and function in metastasis and immunity of MICAL2 in pancreatic cancer. These findings provided potential clinical strategies for diagnosis, targeted therapy combination immunotherapy, and prognosis in patients with pancreatic cancer.

[Preparation and characterization of a fluorogenic ddRFP-M biosensor as a specific SARS-CoV-2 main protease substrate].

The conventional peptide substrates of SARS-CoV-2 main protease (Mpro) are frequently associated with high cost, unstable kinetics, and multistep synthesis. Hence, there is an urgent need to design affordable and stable Mpro substrates for pharmacological research. Herein, we designed a functional Mpro substrate based on a dimerization-dependent red fluorescent protein (ddRFP) for the evaluation of Mpro inhibitors in vitro. The codon-optimized DNA fragment encoding RFP-A1 domain, a polypeptide linker containing Mpro cleavage sequence (AVLQS), and the RFP-B1 domain was subcloned into the pET-28a vector. After transformation into Escherichia coli Rosetta(DE3) cells, the kanamycin resistant transformants were selected. Using a low temperature induction strategy, most of the target proteins (ddRFP-M) presented in the supernatant fractions were collected and purified by a HisTrapTM chelating column. Subsequently, the inhibition of Mpro by ensitrelvir and baicalein was assessed using ddRFP-M assay, and the biochemical properties of ddRFP-M substrate were analyzed. Our results showed that the fluorogenic substrate ddRFP-M was successfully prepared from E. coli cells, and this biosensor exhibited the expected specificity, sensitivity, and reliability. In conclusion, the production of the fluorogenic substrate ddRFP-M provides an expedient avenue for the assessment of Mpro inhibitors in vitro.

Identification of an inflammation-related risk signature for prognosis and immunotherapeutic response prediction in bladder cancer.

Tumor inflammation is one of the hallmarks of tumors and is closely related to tumor occurrence and development, providing individualized prognostic prediction. However, few studies have evaluated the relationship between inflammation and the prognosis of bladder urothelial carcinoma (BLCA) patients. Therefore, we constructed a novel inflammation-related prognostic model that included six inflammation-related genes (IRGs) that can precisely predict the survival outcomes of BLCA patients. RNA-seq expression and corresponding clinical data from BLCA patients were downloaded from The Cancer Genome Atlas database. Enrichment analysis was subsequently performed to determine the enrichment of GO terms and KEGG pathways. K‒M analysis was used to compare overall survival (OS). Cox regression and LASSO regression were used to identify prognostic factors and construct the model. Finally, this prognostic model was used to evaluate cell infiltration in the BLCA tumor microenvironment and analyze the effect of immunotherapy in high- and low-risk patients. We established an IRG signature-based prognostic model with 6 IRGs (TNFRSF12A, NR1H3, ITIH4, IL1R1, ELN and CYP26B1), among which TNFRSF12A, IL1R1, ELN and CYP26B1 were unfavorable prognostic factors and NR1H3 and ITIH4 were protective indicators. High-risk score patients in the prognostic model had significantly poorer OS. Additionally, high-risk score patients were associated with an inhibitory immune tumor microenvironment and poor immunotherapy response. We also found a correlation between IRS-related genes and bladder cancer chemotherapy drugs in the drug sensitivity data. The IRG signature-based prognostic model we constructed can predict the prognosis of BLCA patients, providing additional information for individualized prognostic judgment and treatment selection.

Cortistatin prevents glucocorticoid-associated osteonecrosis of the femoral head via the GHSR1a/Akt pathway.

Long-term use of glucocorticoids (GCs) is known to be a predominant cause of osteonecrosis of the femoral head (ONFH). Moreover, GCs can mediate apoptosis of various cell types by exaggerating oxidative stress. We have previously found that Cortistatin (CST) antagonizes oxidative stress and improves cell apoptosis in several conditions. In this study, we detected that the CST expression levels were diminished in patients with ONFH compared with femoral neck fracture (FNF). In addition, a GC-induced rat ONFH model was established, which impaired bone quality in the femoral head. Then, administration of CST attenuated these ONFH phenotypes. Furthermore, osteoblast and endothelial cells were cultured and stimulated with dexamethasone (Dex) in the presence or absence of recombinant CST. As a result, Dex induced impaired anabolic metabolism of osteoblasts and suppressed tube formation in endothelial cells, while additional treatment with CST reversed this damage to the cells. Moreover, blocking GHSR1a, a well-accepted receptor of CST, or blocking the AKT signaling pathway largely abolished the protective function of CST in Dex-induced disorder of the cells. Taken together, we indicate that CST has the capability to prevent GC-induced apoptosis and metabolic disorder of osteoblasts in the pathogenesis of ONFH via the GHSR1a/AKT signaling pathway.