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The tumor microenvironment (TME) comprises immune-infiltrating cells that are closely linked to tumor development. By screening and analyzing genes associated with tumor-infiltrating M0 cells, we developed a risk model to provide therapeutic and prognostic guidance in clear cell renal cell carcinoma (ccRCC). First, the infiltration abundance of each immune cell type and its correlation with patient prognosis were analyzed. After assessing the potential link between the depth of immune cell infiltration and prognosis, we screened the infiltrating M0 cells to establish a risk model centered on three key genes (TMEN174, LRRC19, and SAA1). The correlation analysis indicated a positive correlation between the risk score and various stages of the tumor immune cycle, including B-cell recruitment. Furthermore, the risk score was positively correlated with CD8 expression and several popular immune checkpoints (ICs) (TIGIT, CTLA4, CD274, LAG3, and PDCD1). Additionally, the high-risk group (HRG) had higher scores for tumor immune dysfunction and exclusion (TIDE) and exclusion than the low-risk group (LRG). Importantly, the risk score was negatively correlated with the immunotherapy-related pathway enrichment scores, and the LRG showed a greater therapeutic benefit than the HRG. Differences in sensitivity to targeted drugs between the HRG and LRG were analyzed. For commonly used targeted drugs in RCC, including axitinib, pazopanib, temsirolimus, and sunitinib, LRG had lower IC50 values, indicating increased sensitivity. Finally, immunohistochemistry results of 66 paraffin-embedded specimens indicated that SAA1 was strongly expressed in the tumor samples and was associated with tumor metastasis, stage, and grade. SAA1 was found to have a significant pro-tumorigenic effect by experimental validation. In summary, these data confirmed that tumor-infiltrating M0 cells play a key role in the prognosis and treatment of patients with ccRCC. This discovery offers new insights and directions for the prognostic prediction and treatment of ccRCC. [ABSTRACT FROM AUTHOR]

Docetaxel is the preferred chemotherapeutic agent in patients with castrate‐resistant prostate cancer (CRPC). However, patients eventually develop docetaxel resistance and in the absence of effective treatment options. Consequently, it is essential to investigate the mechanisms generating docetaxel resistance and develop novel alternative therapeutic targets. RNA sequencing was undertaken on docetaxel‐sensitive and docetaxel‐resistant prostate cancer (PCa) cells. Subsequently, chemoresistance, cancer stemness, and lipid metabolism were investigated. To obtain insight into the precise activities and action mechanisms of NOTCH3 in docetaxel‐resistant PCa, immunoprecipitation, mass spectrometry, ChIP, luciferase reporter assay, cell metabolism, and animal experiments were performed. Through RNA sequencing analysis, we found that NOTCH3 expression was markedly higher in docetaxel‐resistant cells relative to parental cells, and that this trend was continued in docetaxel‐resistant PCa tissues. Experiments in vitro and in vivo revealed that NOTCH3 enhanced stemness, lipid metabolism, and docetaxel resistance in PCa. Mechanistically, NOTCH3 is bound to TUBB3 and activates the MAPK signaling pathway. Moreover, NOTCH3 was directly regulated by MEF2A in docetaxel‐resistant cells. Notably, targeting NOTCH3 and the MEF2A/TUBB3 signaling axis was related to docetaxel chemoresistance in PCa. Overall, these results demonstrated that NOTCH3 fostered stemness, lipid metabolism, and docetaxel resistance in PCa via the TUBB3 and MAPK signaling pathways. Therefore, NOTCH3 may be employed as a prognostic biomarker in PCa patients. NOTCH3 could be a therapeutic target for PCa patients, particularly those who have developed docetaxel resistance. [ABSTRACT FROM AUTHOR]

Primary Sjögren's syndrome (pSS) is a chronic inflammatory autoimmune disease, which mainly damages patients' exocrine glands. Sensitive early diagnostic indicators and effective treatments for pSS are lacking. Using machine learning methods to find diagnostic markers and effective therapeutic ways for pSS is of great significance. In our study, first, 1643 differentially expressed genes (DEGs; 737 were upregulated and 906 were downregulated) were ultimately screened out and analyzed by Gene Ontology and Kyoto Encyclopedia of Genes and Genomes based on the datasets from the Gene Expression Omnibus. Then, support vector machine, least absolute shrinkage and selection operator regression, random forest, and weighted correlation network analysis were used to screen out feature genes from DEGs. Subsequently, the intersection of the feature genes was taken to screen 10 genes as hub genes. Meanwhile, the analysis of the diagnostic efficiency of 10 hub genes showed their good diagnostic value for pSS, which was validated through immunohistochemistry on the paraffin sections of the labial gland. Subsequently, a multi-factor regulatory network and correlation analysis of hub genes were performed, and the results showed that ELAVL1 and IGF1R were positively correlated with each other but both negatively correlated with the other seven hub genes. Moreover, several meaningful results were detected through the immune infiltration landscape. Finally, we used molecular docking to screen potential therapeutic compounds of pSS based on the hub genes. We found that the small molecules DB08006, DB08036, and DB15308 had good docking scores with ELAVL1 and IGF1R simultaneously. Our study might provide effective diagnostic biomarkers and new therapeutic ideas for pSS. Primary Sjögren's syndrome(pSS) is a chronic inflammatory autoimmune disease, sensitive early diagnostic indicators and effective treatments for pSS are lacking. The goal of our study was to screen out the effective markers and related potential therapeutic agents for pSS by analyzing the experimental dataset from multiple data platforms and validating through the validation dataset combined with experiments. This might provide effective diagnostic biomarkers and new therapeutic ideas for treating pSS. [ABSTRACT FROM AUTHOR]

This document is a correction notice for an article titled "ScRNA-seq revealed an immunosuppression state and tumor microenvironment heterogeneity related to lymph node metastasis in prostate cancer" published in Experimental Hematology & Oncology. The correction addresses an error in Fig. 3E, F of the article, where the authors mistakenly used the wrong picture. The correct figure is provided in the correction notice. The original article has been corrected. The publisher, Springer Nature, remains neutral regarding jurisdictional claims and institutional affiliations. [Extracted from the article]

Background. Despite the constant iteration of small-molecule inhibitors and immune checkpoint inhibitors, PRAD (prostate adenocarcinoma) patients with distant metastases and biochemical recurrence maintain a poor survival outcome along with an increasing morbidity in recent years. N7-Methylguanine, a new-found type of RNA modification, has demonstrated an essential role in tumor progression but has hardly been studied for its effect on prostate carcinoma. The current study aimed to seek m7G (N7-methylguanosine) related prognostic biomarkers and potential targets for PRAD treatment. Methods. 42 genes related to m7G were collected from former literatures and GSEA (Gene Set Enrichment Analysis) website. Then, RNA-seq (RNA sequencing) and clinical data from TCGA-PRAD (The Cancer Genome Atlas-Prostate) cohort were retrieved to screen the differentially expressed m7G genes to further construct a multivariate Cox prognostic model for PRAD. Next, GSE116918, a prostate cancer cohort acquired from GEO (Gene Expression Omnibus) database, was analyzed for the external validation group to assess the ability to predict BFFS (biochemical failure-free survival) of our m7G prognostic signature. Kaplan-Meier, ROC (receiver operator characteristic), AUC (areas under ROC curve), and calibration curves were adopted to display the performance of this prognostic signature. In addition, immune infiltration analysis was implemented to evaluate the effect of these m7G genes on immunoinfiltrating cells. Correlation with drug susceptibility of the m7G signature was also analyzed by matching drug information in CellMiner database. Results. The m7G-related prognostic signature, including three genes (EIF3D, EIF4A1, LARP1) illustrated superior prognostic ability for PRAD in both training and validation cohorts. The 5-year AUC were 0.768 for TCGA-PRAD and 0.608 for GSE116918. It can well distinguish patients into different risk groups of biochemical recurrence (p =1e-04 for TCGA-PRAD and p =0.0186 for GSE116918). Immune infiltration analysis suggested potential regulation of m7G genes on neutrophils and dendritic cells in PRAD. Conclusions. A m7G-related prognostic signature was constructed and validated in the current study, giving new sights of m7G methylation in predicting the prognostic and improving the treatment of PRAD. [ABSTRACT FROM AUTHOR]

Metastasis is the greatest clinical challenge for UTUCs, which may have distinct molecular and cellular characteristics from earlier cancers. Herein, we provide single-cell transcriptome profiles of UTUC para cancer normal tissue, primary tumor lesions, and lymphatic metastases to explore possible mechanisms associated with UTUC occurrence and metastasis. From 28,315 cells obtained from normal and tumor tissues of 3 high-grade UTUC patients, we revealed the origin of UTUC tumor cells and the homology between metastatic and primary tumor cells. Unlike the immunomicroenvironment suppression of other tumors, we found no immunosuppression in the tumor microenvironment of UTUC. Moreover, it is imperative to note that stromal cells are pivotal in the advancement of UTUC. This comprehensive single-cell exploration enhances our comprehension of the molecular and cellular dynamics of metastatic UTUCs and discloses promising diagnostic and therapeutic targets in cancer-microenvironment interactions., (© 2024. The Author(s), under exclusive licence to Springer Nature America, Inc.)

Objective: Hypoxia facilitates an aggressive phenotype and immune evasion in solid tumors including bladder cancer (BC). Sphingosine kinase 1 (SphK1) is aberrantly expressed and correlated with poor prognosis in BC patients. However, its roles in hypoxia-evoked malignancies and immune evasion in BC remain elusive., Methods: The expression of SphK1 in BC tissues was analysed using a bioinformatics database. BC cells were transfected with si-SphK1 or recombinant HIF-1α plasmids under hypoxic conditions. The mRNA level, activity and protein expression of SphK1 were determined. Transwell assay was performed to evaluate cell invasion. After co-culture with natural killer (NK) cells, NK cell cytotoxicity to BC cells was assessed. The involvement of sphingosine-1-phosphate (S1P)/HIF-1α signaling was analysed by ELISA, qRT-PCR and western blot., Results: UALCAN and GEPIA database confirmed high expression of SphK1 in BC tissues. Moreover, hypoxia increased the expression and activity of SphK1. Loss of SphK1 inhibited hypoxia-induced cell invasion. IL-2 induced NK cell activation by secreting TNF-α and IFN-γ. Hypoxia antagonized NK cell activation-evoked cytotoxicity to BC cells. Intriguingly, SphK1 knockdown reversed hypoxia-induced cell resistance to NK cell killing. Mechanically, SphK1 loss inhibited hypoxia-activated the S1P/HIF-1α signaling. However, S1P addition reversed the inhibitory effects of SphK1 down-regulation on hypoxia-activated S1P/HIF-1α signaling. Notably, reactivating HIF-1α overturned the suppressive roles of SphK1 loss in decreasing hypoxia-induced cell invasion and resistance to NK cell cytotoxicity., Conclusions: Targeting SphK1 may inhibit hypoxia-evoked invasion and immune evasion via the S1P/HIF-1α signaling, indicating a promising therapeutic target for BC., (© 2022 by the Association of Clinical Scientists, Inc.)

Background: Despite the constant iteration of small-molecule inhibitors and immune checkpoint inhibitors, PRAD (prostate adenocarcinoma) patients with distant metastases and biochemical recurrence maintain a poor survival outcome along with an increasing morbidity in recent years. N 7 -Methylguanine, a new-found type of RNA modification, has demonstrated an essential role in tumor progression but has hardly been studied for its effect on prostate carcinoma. The current study aimed to seek m 7 G (N7-methylguanosine) related prognostic biomarkers and potential targets for PRAD treatment., Methods: 42 genes related to m 7 G were collected from former literatures and GSEA (Gene Set Enrichment Analysis) website. Then, RNA-seq (RNA sequencing) and clinical data from TCGA-PRAD (The Cancer Genome Atlas-Prostate) cohort were retrieved to screen the differentially expressed m 7 G genes to further construct a multivariate Cox prognostic model for PRAD. Next, GSE116918, a prostate cancer cohort acquired from GEO (Gene Expression Omnibus) database, was analyzed for the external validation group to assess the ability to predict BFFS (biochemical failure-free survival) of our m 7 G prognostic signature. Kaplan-Meier, ROC (receiver operator characteristic), AUC (areas under ROC curve), and calibration curves were adopted to display the performance of this prognostic signature. In addition, immune infiltration analysis was implemented to evaluate the effect of these m 7 G genes on immunoinfiltrating cells. Correlation with drug susceptibility of the m 7 G signature was also analyzed by matching drug information in CellMiner database., Results: The m 7 G-related prognostic signature, including three genes (EIF3D, EIF4A1, LARP1) illustrated superior prognostic ability for PRAD in both training and validation cohorts. The 5-year AUC were 0.768 for TCGA-PRAD and 0.608 for GSE116918. It can well distinguish patients into different risk groups of biochemical recurrence ( p  =1e-04 for TCGA-PRAD and p  =0.0186 for GSE116918). Immune infiltration analysis suggested potential regulation of m 7 G genes on neutrophils and dendritic cells in PRAD., Conclusions: A m 7 G-related prognostic signature was constructed and validated in the current study, giving new sights of m 7 G methylation in predicting the prognostic and improving the treatment of PRAD., Competing Interests: The authors declare that they have no conflicts of interest., (Copyright © 2022 Wangli Mei et al.)

Background/aims: To investigate the clinical effects of the maximum conservative treatment algorithm with percutaneous catheter drainage (PCD) as the first choice for necrotizing pancreatitis (NP)., Methodology: Retrospectively analyzed NP patients who had fine needle aspiration (FNA) for proven infection of necrosis which was considered an indication for surgery (n=22, group 1) compared to patients subjected to maximum conservative treatment with PCD in NP patients (n=30, group 2)., Results: On admission, most baseline data did not show any statistical difference between the two groups, In group 2, all patients were implemented maximum conservative treatment, 25 of 30 patients were cured by PCD (83.3%), open necrosectomy were needed for 3 patients (10.0%) and 2 dead during hospitalization (6.7%). Whereas, in group 1, surgical operation rate was 45.6% and hospital mortality 31.8%, both of the ratios differed significantly compared with group 2 (45.6% vs. 10%, P=0.004; 31.8% vs. 6.7%, P=0.046 respectively). Furthemore, Hospital stay were significantly higher in group 1 compared with group 2 (90±18.5 vs. 39±13.4; P=0.033)., Conclusions: A conservative approach with PCD as the first choice to treatment NP might decrease the rate of surgical operation and mortality, and improve the outcome of NP.