Lc-ms-based untargeted metabolomics reveals potential mechanisms of histologic chronic inflammation promoting prostate hyperplasia.

Background: Chronic prostatitis may be a risk factor for developing proliferative changes in the prostate, although the underlying mechanisms are not entirely comprehended.

Materials And Methods: Fifty individual prostate tissues were examined in this study, consisting of 25 patients diagnosed with prostatic hyperplasia combined with histologic chronic inflammation and 25 patients diagnosed with prostatic hyperplasia alone. We employed UPLC-Q-TOF-MS-based untargeted metabolomics using ultra-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry to identify differential metabolites that can reveal the mechanisms that underlie the promotion of prostate hyperplasia by histologic chronic inflammation.

Untargeted metabolomics reveals that declined PE and PC in obesity may be associated with prostate hyperplasia.

Background: Recent studies have shown that obesity may contribute to the pathogenesis of benign prostatic hyperplasia (BPH). However, the mechanism of this pathogenesis is not fully understood.

Methods: A prospective case-control study was conducted with 30 obese and 30 nonobese patients with BPH.

[Mendelian randomization of diabetes and prostate cancer risk in East Asian population].

Objective: Mendelian randomization (MR) was used to explore the causal relationship between diabetes (type 1 and type 2) and prostate cancer (PCa) in East Asian population.

Methods: Mendelian randomization is a causal inference method based on genetic variation, which uses the influence of randomly assigned genotypes in nature on phenotype to infer the impact of biological factors on diseases. This study used genetic variation genes related to inflammatory biomarkers as instrumental variables to improve inference, and patient data was obtained from the GWAS database's aggregated association results.

[Research progress of SOX9 in the evolution of prostate cancer].

Sex-determining region Y-box transcription factor 9（SOX9）is essential for prostate development. The dysregulation of SOX9 not only affects the occurrence of Prostate cancer (PCa), but also plays a key role in castration-resistant prostate cancer (CRPC). However, the mechanism of SOX9 affecting the evolution of PCa is still unclear.

Multiomics combined with single-cell analysis shows that mitophagy-related genes could accurately predict the prognosis of patients with clear cell renal cell carcinoma.

Background: Clear cell renal cell carcinoma (ccRCC) is a heterogeneous tumor that accounts for a large proportion of kidney cancer, It is prone to recurrence and metastasis, and has a high mortality rate. Although mitophagy is important for metastasis and the recurrence of various tumors, its effect on renal clear cell carcinoma is poorly understood.

Methods: Mitophagy-related genes were obtained through the GeneCards database.

Long noncoding RNA in renal cell carcinoma: a molecular mechanism study.

Background: Clear cell renal cell carcinoma (RCC) is the most common subtype of RCC. Although targeted therapy can provide superior treatment outcomes, it is prone to drug resistance, and individual responses to immunotherapy vary greatly. Therefore, finding new diagnostic and therapeutic targets for RCC is of considerable importance.

A net-work meta-analysis of the cardiac safety for next-generation hormonal agents in treating castration-resistant prostate cancer: How to choose drugs appropriately?

Background: Researchers have shown that using next-generation hormonal agents (NHA) for castration-resistant prostate cancer (CRPC) would lead to increased risk of cardiac adverse effects, making clinician choices more complex.

Methods: We systematically searched Pubmed, Cochrane Library, and Embase databases for research published before October 2022. Agents were ranked according to their effectiveness based on cardiac adverse effects using the surface under the cumulative ranking curve.

Nomograms for predicting clinically significant prostate cancer in men with PI-RADS-3 biparametric magnetic resonance imaging.

This study aimed to construct nomograms for predicting the likelihood of clinically significant prostate cancer (csPCa) in patients with lesions rated as Prostate Imaging Reporting and Data System (PI-RADS) 3 on biparametric magnetic resonance imaging (bpMRI). We retrospectively analyzed a cohort of 457 patients from the Peking Union Medical College Hospital (January 2017-July 2021) to develop the model and externally validated it with a cohort of 238 patients from the Second Hospital of Tianjin Medical University (September 2017-September 2021). Univariate and multivariate logistic regression analyses identified significant predictors of csPCa, defined by tumor volumes ≥ 0.

Genes associated with inflammation for prognosis prediction for clear cell renal cell carcinoma: a multi-database analysis.

Background: Clear cell renal cell carcinoma (ccRCC) is the largest subtype of kidney tumour, with inflammatory responses characterising all stages of the tumour. Establishing the relationship between the genes related to inflammatory responses and ccRCC may help the diagnosis and treatment of patients with ccRCC.

Methods: First, we obtained the data for this study from a public database.

Prognosis Prediction of Disulfidptosis-Related Genes in Bladder Cancer and a Comprehensive Analysis of Immunotherapy.

As a newly discovered mechanism of cell death, disulfidptosis is expected to help diagnose and treat bladder cancer patients. First, data obtained from public databases were analyzed using bioinformatics techniques. SVA packages were used to combine data from different databases to remove batch effects.

HP1α promotes the progression of prostate cancer.

Purpose: Patients who have been diagnosed with prostate cancer (PCa) typically have a dismal outlook and few therapeutic choices available to them, because the precise pathogenesis of the disease is not yet fully understood. The presence of HP1α, also known as the heterochromatin protein 1α, is required for the creation of higher-order chromatin structures. However, little is known about HP1α that serves roles in the pathogenesis of PCa.

Identification of subtypes of clear cell renal cell carcinoma and construction of a prognostic model based on fatty acid metabolism genes.

The effects of fatty acid metabolism in many tumors have been widely reported. Due to the diversity of lipid synthesis, uptake, and transformation in clear cell renal cell carcinoma (ccRCC) cells, many studies have shown that ccRCC is associated with fatty acid metabolism. The study aimed was to explore the impact of fatty acid metabolism genes on the prognosis and immunotherapy of ccRCC.

Cuproptosis-related lncRNA: Prediction of prognosis and subtype determination in clear cell renal cell carcinoma.

Clear cell renal cell carcinoma (ccRCC) is the most common type of renal cell carcinoma, accounting for approximately 70% of all RCC cases. Cuproptosis, a novel mechanism of cell death, may be a potential target for intervention in tumor development. Cuproptosis-related prognostic lncRNAs were identified by co-expression analysis and univariable Cox regression.

Identification of Bladder Cancer Subtypes Based on Necroptosis-Related Genes, Construction of a Prognostic Model.

Background: Necroptosis is associated with the development of many tumors but in bladder cancer the tumor microenvironment (TME) and prognosis associated with necroptosis is unclear.

Methods: We classified patients into different necroptosis subtypes by the expression level of NRGS (necroptosis-related genes) and analyzed the relationship between necroptosis subtypes of bladder cancer and TME, then extracted differentially expressed genes (DEGS) of necroptosis subtypes, classified patients into different gene subtypes according to DEGS, and performed univariate COX analysis on DEGS to obtain prognosis-related DEGS. All patients included in the analysis were randomized into the Train and Test groups in a 1:1 ratio, and the prognostic model was obtained using the LASSO algorithm and multivariate COX analysis with the Train group as the sample, and external validation of the model was conducted using the GSE32894.

[Inhibitory effect of 3-bromopyruvate on the proliferation, migration and invasive ability of prostate cancer PC-3 cells].

Objective: To observe the effects of the glycolysis inhibitor 3-bromopyruvate (3-BrPA) on the proliferation, migration and invasive ability of prostate cancer PC-3 cells in vitro and explore the underlying mechanisms.

Methods: We cultured prostate cancer PC-3 cells in vitro and treated them with 3-BrPA at different concentrations for 24, 48 and 72 hours. Then we observed the morphological changes of the PC-3 cells under the inverted microscope.

Management of large renal stones with super-mini percutaneous nephrolithotomy: an international multicentre comparative study.

Objectives: To comparatively evaluate the clinical outcomes of super-mini percutaneous nephrolithotomy (SMP) and mini-percutaneous nephrolithotomy (Miniperc) for treating urinary tract calculi of >2 cm.

Patients And Methods: An international multicentre, retrospective cohort study was conducted at 20 tertiary care hospitals across five countries (China, the Philippines, Qatar, UK, and Kuwait) between April 2016 and May 2019. SMP and Miniperc were performed in 3525 patients with renal calculi with diameters of >2 cm.

Lack of association between the risk of prostate cancer and vitamin D receptor polymorphism: a meta-analysis of 27 published studies.

Background: The association between vitamin D receptor gene (rs1544410) polymorphism and prostate cancer (PCa) risk has been investigated by numerous previous studies, which yielded inconsistent results. We conducted this meta-analysis to derive a relatively precise description of this association.

Methods: All studies published up to December 2017 were identified via a systematic search of PubMed, Embase, and China National Knowledge Infrastructure databases.

Vitamin D receptor I polymorphism and the risk of prostate cancer: a meta-analysis.

Numerous previous studies reported the association of Vitamin D receptor gene polymorphism with prostate cancer risk, however these results were controversial. In order to provide a relatively comprehensive description of this relationship, we conducted this meta-analysis by searching PubMed, Embase, and China National Knowledge Infrastructure. Finally, 36 studies with 8,423 cases and 8,887 controls were included.

Construction and analysis of protein-protein interaction networks based on proteomics data of prostate cancer.

Currently, using human prostate cancer (PCa) tissue samples to conduct proteomics research has generated a large amount of data; however, only a very small amount has been thoroughly investigated. In this study, we manually carried out the mining of the full text of proteomics literature that involved comparisons between PCa and normal or benign tissue and identified 41 differentially expressed proteins verified or reported more than 2 times from different research studies. We regarded these proteins as seed proteins to construct a protein-protein interaction (PPI) network.

Bioinformatics analysis of differentially expressed proteins in prostate cancer based on proteomics data.

We mined the literature for proteomics data to examine the occurrence and metastasis of prostate cancer (PCa) through a bioinformatics analysis. We divided the differentially expressed proteins (DEPs) into two groups: the group consisting of PCa and benign tissues (P&b) and the group presenting both high and low PCa metastatic tendencies (H&L). In the P&b group, we found 320 DEPs, 20 of which were reported more than three times, and DES was the most commonly reported.