Due to the molecular heterogeneity, most bladder cancer (BLCA) patients show no pathological responses to immunotherapy and chemotherapy yet suffer from their toxicity. This study identified and validated three distinct and stable molecular clusters of BLCA in cross-platform databases based on personalized immune and inflammatory characteristics. H&E-stained histopathology images confirmed the distinct infiltration of immune and inflammatory cells among clusters. Cluster-A was characterized by a favorable prognosis and low immune and inflammatory infiltration but showed the highest abundance of prognosis-related favorable immune cell and inflammatory activity. Cluster-B featured the worst prognosis and high immune infiltration, but numerous unfavorable immune cells exist. Cluster-C had a favorable prognosis and the highest immune and inflammatory infiltration. Based on machine learning, a highly precise predictive model (immune and inflammatory responses signature, IIRS), including FN1, IL10, MYC, CD247, and TLR2, was developed and validated to identify the high IIRS-score group that had a poor prognosis and advanced clinical characteristics. Compared to other published models, IIRS showed the highest AUC in 5 years of overall survival (OS) and a favorable predictive value in predicting 1- and 3- year OS. Moreover, IIRS showed an excellent performance in predicting immunotherapy and chemotherapy’s response. According to immunohistochemistry and qRT-PCR, IIRS genes were differentially expressed between tumor tissues with corresponding normal or adjacent tissues. Finally, immunohistochemical and H&E-stained analyses were performed on the bladder tissues of 13 BLCA patients to further demonstrate that the IIRS score is a valid substitute for IIR patterns and can contribute to identifying patients with poor clinical and histopathology characteristics. In conclusion, we established a novel IIRS depicting an IIR pattern that could independently predict OS and acts as a highly precise predictive biomarker for advanced clinical characters and the responses to immunotherapy and chemotherapy.

Although recent studies have revealed the relationship between Fc Fragment of IgE Receptor Ig (FCER1G) and human tumours, there is still a lack of a more comprehensive pan-cancer analysis of FCER1G as an immune-related gene. In this study, we investigated the expression pattern and prognostic value of FCER1G based on multiple databases. Subsequently, we further explored the role of FCER1G in tumour proliferation and metastasis, as well as its genomic alterations and DNA methylation levels, we next assessed the association between FCER1G and the immune infiltrating cells of the tumour microenvironment in different cancers and verified it by immunohistochemical staining. The correlation between FCER1G and immune checkpoint genes expression and its predictive power in the immune checkpoint blockade treatment cohorts were used to evaluate the importance of FCER1G in immunotherapy. Enrichment analysis of FCER1G-associated partners was also performed. In addition, we substantiated the expression of FCER1G in specific cell types of different tumours using singlecell RNA sequencing data from different databases. Our research results showed that FCER1G is up-regulated in most tumour. Positive associations were found between FCER1G expression and tumour prognosis, proliferation, and metastasis, we also found that FCER1G is closely related to the tumour microenvironment and tumour immunity. Moreover, FCER1G-associated partners were enriched in pathways associated with neutrophils activation. Finally, we confirmed that FCER1G was mainly expressed in monocyte/macrophages of the tumour microenvironment. In conclusion, our findings provided a comprehensive understanding of FCER1G in oncogenesis and tumour immunology among various tumours and demonstrated its potential value in prognosis prediction and tumour immunotherapy.K E Y W O R D S cancer immunotherapy, FCER1G, pan-cancer, tumour microenvironment Riwei Yang and Zude Chen contributed equally to this work.

Introduction: COVID-19 (SARS-CoV-2) has been linked to organ damage in humans since its worldwide outbreak. It can also induce severe sperm damage, according to research conducted at numerous clinical institutions. However, the exact mechanism of damage is still unknown.Methods: In this study, testicular bulk-RNA-seq Data were downloaded from three COVID-19 patients and three uninfected controls from GEO to evaluate the effect of COVID-19 infection on spermatogenesis. Relative expression of each pathway and the correlation between genes or pathways were analyzed by bioinformatic methods.Results: By detecting the relative expression of each pathway and the correlation between genes or pathways, we found that COVID-19 could induce testicular cell senescence through MAPK signaling pathway. Cellular senescence was synergistic with MAPK pathway, which further affected the normal synthesis of cholesterol and androgen, inhibited the normal synthesis of lactate and pyruvate, and ultimately affected spermatogenesis. The medications targeting MAPK signaling pathway, especially MAPK1 and MAPK14, are expected to be effective therapeutic medications for reducing COVID-19 damage to spermatogenesis.Conclusion: These results give us a new understanding of how COVID-19 inhibits spermatogenesis and provide a possible solution to alleviate this damage.

Alcoholic liver disease (ALD) has a significant impact on human health and is one of the leading causes of liver disease mortality. The early and exact diagnosis of ALD is very important since the early stage of disease progression can be reversible. Although ALD can be evaluated by ultrasound, CT, or MRI, there is still no imaging technique sufficient in the diagnosis of early-stage ALD. Of the current studies, epigenetic modulation plays a significant role in the development and progression of ALD. In this work, we evaluate whether BRDs play a vital role in the early-stage ALD using our new PET imaging probe of BET proteins, [11C]­CW22. PET/CT imaging of [11C]­CW22 and [18F]­FDG was used to identify early-stage lesions of livers and brains in the mice model. We found that the average uptake values of livers and brains in early-stage ALD were significantly increased for [11C]­CW22 PET/CT imaging but only slightly changed in [18F]­FDG PET/CT imaging. Consistently, we also found that BRD 3, 4 protein expression levels were significantly higher in the liver and brain tissues of early-stage ALD. Furthermore, through Pmod software, we found that [11C]­CW22 PET/CT uptakes in the brain stem, cerebellum, and midbrain were significantly up-regulated in the early-stage ALD. In conclusion, BRDs were important mediators of damage in early-stage ALD. [11C]­CW22 PET/CT imaging can detect the early-phase alcohol-induced damage of livers and brains, which will likely lead to human trials in the future.

Background: Non-coding RNA (ncRNA) is a class of RNAs that do not encode proteins but have multiple biological functions intracellular. They play an indispensable role in the occurrence and development of tumour. Therefore, understanding their molecular regulatory mechanisms in tumour cells are important for the treatment of tumour patients. Methods: The upstream ncRNAs of STAM were predicted by bioinformatic analysis, and the specific mechanism of lncRNA MAGI2-AS3 regulated miR-142-3p affecting STAM expression and participating in ccRCC cell proliferation, invasion, migration and apoptosis was detected by RT-qPCR, Western blotting, cellular functional experiments and luciferase reporter assay. Results: Overexpression of miR-142-3p or silencing of MAGI2-AS3 promoted the proliferation and migration of ccRCC cells, and inhibits cell apoptosis, while silencing of miR-142-3p or overexpression of MAGI2-AS3 had the opposite effect on ccRCC cells. Furthermore, we confirmed that MAGI2-AS3 acted as sponge and combined with miR-142-3p, blocked the inhibitory effect of miR-142-3p on the expression of STAM, thereby involved in ccRCC proliferation and metastasis. Furthermore, the prognostic model based on the MAGI2-AS3/miR-142-3p/STAM axis further emphasizes its prognostic value in ccRCC. Conclusion: MAGI2-AS3 competitively binding miR-142-3p to upregulate the STAM expression suppressing ccRCC proliferation and metastasis. MAGI2-AS3/miR-142-3p/STAM axis may serve as a promising ccRCC therapeutic target.