Association between autoimmunity-related disorders and prostate cancer: A Mendelian randomization study.

Background: Although many epidemiological studies and meta-analyses have reported an association between autoimmune disorders and prostate cancer, none has reported a clear correlation or the direction of the association. The purpose of our study was to explore the potential relationship between autoimmunity-related disorders and prostate cancer using Mendelian randomization (MR). Methods: We retrieved literature from PubMed using the keywords "autoimmune disorder" AND "prostate cancer" to find more clues on the correlation between prostate cancer and autoimmunity-related disorder. Based on this literature search, we selected 16 autoimmunity-related disorders that had genome-wide association study (GWAS) data and may be associated with prostate cancer. The inverse variance weighting (IVW) method was applied as our primary analysis for two-sample MR and multivariate MR analysis to estimate the odds ratio (OR) and 95% confidence interval (CI). We further verified the robustness of our conclusions using a series of sensitivity analyses. Results: The autoimmunity-related diseases selected include rheumatoid arthritis, ankylosing spondylitis, coxarthrosis, gonarthrosis, Crohn's disease, ulcerative colitis, irritable bowel syndrome, celiac disease, primary sclerosing cholangitis, asthma, type 1 diabetes, systemic lupus erythematosus, multiple sclerosis, autoimmune hyperthyroidism, psoriatic arthropathies, and polymyalgia rheumatica. The results of inverse variance weighting (IVW suggested that six diseases were associated with the development of prostate cancer. The three diseases that may increase the risk of prostate cancer are rheumatoid arthritis (P = 0.001), coxarthrosis (P < 0.001), and gonarthrosis (P = 0.008). The three possible protective factors against prostate cancer are primary sclerosing cholangitis (P = 0.001), autoimmune hyperthyroidism (P = 0.011), and psoriatic arthropathies (P = 0.001). Horizontal pleiotropy was not observed in the MR-Egger test. Conclusions: Our findings provide predictive genetic evidence for an association between autoimmune disorders and prostate cancer. Further research is needed to explore the underlying mechanisms of comorbidities at the molecular level.

FOXA1-dependent PUS1 regulates EIF3b stability in a non-enzymatic pathway mediating prostate cancer bone metastasis.

Bone metastasis is a significant contributor to the poor prognosis in prostate cancer. Recent evidence highlights the pivotal role of pseudouridine synthases in solid tumor progression, yet the specific enzyme driving prostate cancer metastasis remains unidentified. This study uncovers a novel regulatory mechanism of the FOXA1/PUS1/EIF3b signaling axis in prostate cancer bone metastasis. We identified elevated PUS1 expression in prostate cancer tissues, correlating with higher clinical grade and worse prognosis. Knockdown of PUS1 inhibited metastasis independently of its enzymatic activity, with EIF3b acting as a downstream effector, protected from ubiquitin-mediated degradation by PUS1. Overexpression of EIF3b countered the metastasis suppression due to PUS1 knockdown. Additionally, FOXA1 was shown to enhance PUS1 expression by binding to its promoter. Mogroside IV-E, a specific PUS1 inhibitor, demonstrated potent anti-metastatic effects by reducing PUS1 expression. Our findings highlight the FOXA1/PUS1/EIF3b axis as a critical mediator of prostate cancer bone metastasis and suggest that targeting this pathway could be a promising therapeutic strategy.

Predicting Survival in Patients with Neuroendocrine Prostate Cancer: A SEER-Based Comprehensive Study.

PURPOSE: Neuroendocrine prostate cancer (NEPC) represents a particularly aggressive subtype of prostate cancer with a challenging prognosis. The purpose of this investigation is to craft and confirm the reliability of nomograms that can accurately forecast the 1-, 3-, and 5-year overall survival (OS) and cancer-specific survival (CSS) rates for individuals afflicted with NEPC. MATERIALS AND METHODS: Data pertaining to patients diagnosed with NEPC within the timeframe of 2010 to 2020 was meticulously gathered and examined from the Surveillance, Epidemiology, and End Results Program (SEER). To predict OS and CSS, we devised and authenticated two distinct nomograms, utilizing predictive variables pinpointed through both univariate and multivariate Cox regression analyses. RESULTS: The study encompassed 393 of NEPC patients, who were systematically divided into training and validation cohorts at a 2:1 ratio. Key prognostic factors were isolated, verified, and integrated into the respective nomograms for OS and CSS. The performance metrics, denoted by C-indices, stood at 0.730, 0.735 for the training set, and 0.784, 0.756 for the validation set. The precision and clinical relevance of the nomograms were further corroborated by the analysis of receiver operating characteristic curves, calibration plots, and decision curve analyses. CONCLUSIONS: The constructed nomograms have demonstrated impressive efficacy in forecasting the 1-, 3-, and 5-year OS and rates for patients with NEPC. Implementing these predictive tools in clinical settings is anticipated to considerably enhance the care and treatment planning for individuals diagnosed with this aggressive form of prostate cancer, thus providing tailored and more precise prognostic assessments.

Evaluating the effectiveness of cytoreductive surgery in oligometastatic prostate cancer: insights from quantitative analysis and retrospective cohort studies.

BACKGROUND: Oligometastatic prostate cancer (OmPCa) is characterized by a restricted number of metastatic lesions confined to a limited organ range, presenting a distinct clinical challenge. The role of cytoreductive prostatectomy (CRP) in managing this specific metastatic stage has gained attention but remains controversial. This study aims to assess the effectiveness of CRP in OmPCa by synthesizing outcomes from previous studies and analyzing data from a multicenter, retrospective cohort. METHODS: We focused on evaluating overall survival (OS), progression-free survival (PFS), cancer-specific survival (CSS), and castration-resistant prostate cancer-free survival (CRPCFS) as primary outcomes. A multicenter comparative retrospective analysis was also conducted on OmPCa patients treated with CRP versus those receiving androgen deprivation therapy (ADT) alone from January 2008 to June 2018. We gathered and analyzed data on patient demographics, tumor characteristics, surgical outcomes, and survival metrics. RESULTS: The quantitative analysis included 18 studies(2 randomized controlled trial (RCT) and 16 non-RCT studies),comprising a total of 1733 patients with oligometastatic prostate cancer,this is the largest number of samples included in the same subject research at present.The pooled analysis demonstrated that cytoreductive surgery was associated with significantly improved OS (hazard ratio [HR]: 0.50, 95% confidence interval[CI]: 0.40-0.60) ,PFS (HR: 0.39, 95%[CI]: 0.27-0.51) ,CSS (HR: 0.44, 95%[CI]: 0.23-0.65) and CRPCFS (HR: 0.48, 95%[CI]: 0.36-0.59) compared to non-surgical management.In addition,OS ,PFS and CRPCFS showed better results in the CRP group in all analyses(RCT and non-RCT).Additionally,in our multicenter retrospective research analysis, 64 patients with oligometastatic prostate cancer were included ,32 underwent CRP (50%), and 32 underwent ADT alone (50%).The median follow-up time was 40.1 (18.9-51.3) months.The OS (P=0.0182), PFS (P=0.0297), and CRPCFS (P=0.0125) had statistical difference between the two matched cohorts.Moreover,we observed 8(25%) cases of perioperative complications, with the most common being urinary incontinence(9.4%). CONCLUSIONS: Incorporating CRP alongside ADT in the treatment protocol for OmPCa significantly enhances patient outcomes in terms of OS, PFS, and CRPC-free survival, underscoring the potential benefit of this surgical approach in the specified patient population.

Assessment of treatment outcomes: cytoreductive surgery compared to radiotherapy in oligometastatic prostate cancer - an in-depth quantitative evaluation and retrospective cohort analysis.

BACKGROUND: The management of oligometastatic prostate cancer, defined by its few metastatic sites, poses distinct clinical dilemmas. Debates persist regarding the most effective treatment approach, with both cytoreductive surgery and radiotherapy being key contenders. The purpose of this research is to thoroughly evaluate and compare the effectiveness of these two treatments in managing patients with oligometastatic prostate cancer. METHODS: A comprehensive search of the literature was carried out to find pertinent publications that compared the results of radiation and cytoreductive surgery for oligometastatic prostate cancer. A meta-analysis was conducted in order to evaluate both short-term and long-term survival. Furthermore, utilizing institutional patient data, a retrospective cohort research was conducted to offer practical insights into the relative performances of the two treatment regimens. RESULTS: Five relevant studies' worth of data were included for this meta-analysis, which included 1425 patients with oligometastatic prostate cancer. The outcomes showed that, in comparison to radiation, cytoreductive surgery was linked to a substantially better cancer-specific survival (CSS) [hazard ratio (HR): 0.70, 95% (CI): 0.59-0.81, P <0.001] and overall survival (OS) [HR, 0.80; 95% (CI), 0.77-0.82; P <0.01]. The two therapy groups' Progression-Free Survival (PFS) and Castration-Resistant Prostate Cancer-Free Survival (CRPCFS), however, did not differ significantly (HR: 0.56, 95% CI: 0.17-1.06; HR: 0.67, 95% CI: 0.26-1.02, respectively). Out of the 102 patients who were recruited in the retrospective cohort research, 36 had cytoreductive surgery (CRP), 36 had radiation therapy (primary lesion), and 30 had radiation therapy (metastatic lesion). The follow-up time was 46.3 months (18.6-60.0) on average. The enhanced OS in the CRP group [OS interquartile range (IQR): 45-60 months] in comparison to the radiation group (OS IQR: 39.0-59.0 months and 25.8-55.0 months, respectively) was further supported by the cohort research. Furthermore, CRP had a better OS than both radiation (primary region) and radiotherapy (metastatic region), with the latter two therapeutic methods having similar OS. CONCLUSION: This meta-analysis and retrospective research provide valuable insights into the comparative efficacy of cytoreductive surgery and radiotherapy for oligometastatic prostate cancer. While short-term survival (PFS, CRPCFS) was similar between the two groups, cytoreductive surgery exhibited superior CSS and OS. Adverse event rates were manageable in both modalities. These findings contribute to informed treatment decision-making for clinicians managing oligometastatic prostate cancer patients. Further prospective studies and randomized controlled trials are essential to corroborate these results and guide personalized therapeutic approaches for this distinct subset of patients.

Single-cell deconvolution algorithms analysis unveils autocrine IL11-mediated resistance to docetaxel in prostate cancer via activation of the JAK1/STAT4 pathway.

BACKGROUND: Docetaxel resistance represents a significant obstacle in the treatment of prostate cancer. The intricate interplay between cytokine signalling pathways and transcriptional control mechanisms in cancer cells contributes to chemotherapeutic resistance, yet the underlying molecular determinants remain only partially understood. This study elucidated a novel resistance mechanism mediated by the autocrine interaction of interleukin-11 (IL-11) and its receptor interleukin-11 receptor subunit alpha(IL-11RA), culminating in activation of the JAK1/STAT4 signalling axis and subsequent transcriptional upregulation of the oncogene c-MYC. METHODS: Single-cell secretion profiling of prostate cancer organoid was analyzed to determine cytokine production profiles associated with docetaxel resistance.Analysis of the expression pattern of downstream receptor IL-11RA and enrichment of signal pathway to clarify the potential autocrine mechanism of IL-11.Next, chromatin immunoprecipitation coupled with high-throughput sequencing (ChIP-seq) was performed to detect the nuclear localization and DNA-binding patterns of phosphorylated STAT4 (pSTAT4). Coimmunoprecipitation and reporter assays were utilized to assess interaction between pSTAT4 and the cotranscription factor CREB-binding protein (CBP) as well as their role in c-MYC transcriptional activity. RESULTS: Autocrine secretion of IL-11 was markedly increased in docetaxel-resistant prostate cancer cells. IL-11 stimulation resulted in robust activation of JAK1/STAT4 signalling. Upon activation, pSTAT4 translocated to the nucleus and associated with CBP at the c-MYC promoter region, amplifying its transcriptional activity. Inhibition of the IL-11/IL-11RA interaction or disruption of the JAK1/STAT4 pathway significantly reduced pSTAT4 nuclear entry and its binding to CBP, leading to downregulation of c-MYC expression and restoration of docetaxel sensitivity. CONCLUSION: Our findings identify an autocrine loop of IL-11/IL-11RA that confers docetaxel resistance through the JAK1/STAT4 pathway. The pSTAT4-CBP interaction serves as a critical enhancer of c-MYC transcriptional activity in prostate cancer cells. Targeting this signalling axis presents a potential therapeutic strategy to overcome docetaxel resistance in advanced prostate cancer.

MT1G, an emerging ferroptosis-related gene: A novel prognostic biomarker and indicator of immunotherapy sensitivity in prostate cancer.

BACKGROUND: Prostate cancer is a leading cause of cancer-related deaths in men worldwide. Despite advances in treatment strategies, there is still a need for novel therapeutic targets and approaches. Ferroptosis has emerged as a critical process in the development and progression of several cancers, including prostate cancer (PCA). In this study, we investigate the role of MT1G, a gene implicated in immune responses and ferroptosis, in the pathogenesis of PCA. Our objective is to elucidate its prognostic significance and its impact on the tumor microenvironment, while exploring its potential in enhancing the sensitivity to immune checkpoint inhibitor (ICI) therapy. METHODS: We utilized a combination of in silico analysis and experimental techniques to investigate the role of MT1G in PCA. First, we analyzed large-scale genomic datasets to assess the expression pattern and prognostic significance of MT1G in PCA patients. Subsequently, we performed functional assays to explore the impact of MT1G in PCA and its potential involvement in modulating immune responses. In addition, we conducted in vivo experiments to evaluate the effect of MT1G on tumor growth and response to ICI therapy. RESULTS: Our analysis revealed that MT1G expression is significantly downregulated in PCA tissues compared to normal prostate tissues and is associated with poor prognosis. Furthermore, MT1G overexpression inhibited the growth of PCA cells in vitro and in vivo. Importantly, we found that MT1G regulates the tumor microenvironment by modulating immune cell infiltration and inhibiting immunosuppressive factors. Furthermore, our study reveals a significant correlation between MT1G expression levels and the response to immune checkpoint inhibitor (ICI) therapy in prostate cancer (PCA) patients, as MT1G upregulation leads to an increase in PDL-1 expression. These findings underscore the potential of MT1G as a promising predictive biomarker for ICI therapy response in PCA patients. CONCLUSION: Our study elucidates the pivotal role played by MT1G in the pathogenesis of prostate cancer (PCA) and its profound implications for prognosis. Moreover, it raises the intriguing possibility that MT1G could pave the way for novel therapeutic approaches in PCA treatment. This potential arises from its ability to orchestrate immune infiltration within the tumor microenvironment, consequently enhancing sensitivity to immune checkpoint inhibitor (ICI) therapy. Therefore, our findings hold substantial promise for advancing our comprehension of PCA and exploring innovative therapeutic strategies.

The key cellular senescence related molecule RRM2 regulates prostate cancer progression and resistance to docetaxel treatment.

BACKGROUND: Prostate cancer is a leading cause of cancer-related deaths among men worldwide. Docetaxel chemotherapy has proven effective in improving overall survival in patients with castration-resistant prostate cancer (CRPC), but drug resistance remains a considerable clinical challenge. METHODS: We explored the role of Ribonucleotide reductase subunit M2 (RRM2), a gene associated with senescence, in the sensitivity of prostate cancer to docetaxel. We evaluated the RRM2 expression, docetaxel resistance, and ANXA1 expression in prostate cancer cell lines and tumour xenografts models. In addition, We assessed the impact of RRM2 knockdown, ANXA1 over-expression, and PI3K/AKT pathway inhibition on the sensitivity of prostate cancer cells to docetaxel. Furthermore, we assessed the sensitivity of prostate cancer cells to the combination treatment of COH29 and docetaxel. RESULTS: Our results demonstrated a positive association between RRM2 expression and docetaxel resistance in prostate cancer cell lines and tumor xenograft models. Knockdown of RRM2 increased the sensitivity of prostate cancer cells to docetaxel, suggesting its role in mediating resistance. Furthermore, we observed that RRM2 stabilizes the expression of ANXA1, which in turn activates the PI3K/AKT pathway and contributes to docetaxel resistance. Importantly, we found that the combination treatment of COH29 and docetaxel resulted in a synergistic effect, further augmenting the sensitivity of prostate cancer cells to docetaxel. CONCLUSION: Our findings suggest that RRM2 regulates docetaxel resistance in prostate cancer by stabilizing ANXA1-mediated activation of the PI3K/AKT pathway. Targeting RRM2 or ANXA1 may offer a promising therapeutic strategy to overcome docetaxel resistance in prostate cancer.

Cuproptosis illustrates tumor micro-environment features and predicts prostate cancer therapeutic sensitivity and prognosis.

BACKGROUND: Prostate cancer (PCA) is a common malignant genitourinary tumor that significantly impacts patient survival. Cuproptosis, a copper-dependent programmed cell death mechanism, plays a vital role in tumor development, therapy resistance, and immune microenvironment regulation in PCA. However, research on cuproptosis in prostate cancer is still in its early stages. METHODS: Using the publicly available datasets TCGA and GEO, we first acquired the transcriptome and clinical information of PCA patients. The expression of cuprotosis-related genes (CRG) was identified and a prediction model was established based on LASSO-COX method. The predictive performance of this model was evaluated based on Kaplan-Meier method. Using GEO datasets, we further confirmed the critical genes level in the model. Tumor responses to immune checkpoint (ICP) inhibitors were predicted based on Tumor Immune Dysfunction and Exclusion (TIDE) score. The Genomics of Drug Sensitivity in Cancer (GDSC) was utilized to forecast drug sensitivity in cancer cells, whereas the GSVA was employed to analyze enriched pathways related to the cuproptosis signature. Subsequently, the function of PDHA1 gene in PCA was verified. RESULTS: A predictive risk model on basis of five cuproptosis-related genes (ATP7B, DBT, LIPT1, GCSH, PDHA1) were established. The progression free survival of low-risk group was obviously longer than the high-risk group, and exhibit better response to ICB therapy.Furthermore,PDHA1 is very important in the pathological process of PCA according to regressions analysis result, and the validation of external data sets were conducted. High PDHA1 expression patients with PCA not only had a shorter PFS and were less likely to benefit from ICB treatment, but they were also less responsive to multiple targeted therapeutic drugs. In preliminary research, PDHA1 knockdown significantly decreased the proliferation and invasion of PCA cells. CONCLUSION: This study established a novel cuproptosis-related gene-based prostate cancer prediction model that accurately predicts the prognosis of PCA patients. The model benefits individualized therapy and can assist clinicians in making clinical decisions for PCA patients. Furthermore, our data show that PDHA1 promotes PCA cell proliferation and invasion while modulating the susceptibility to immunotherapy and other targeted therapies. PDHA1 can be regarded as an important target for PCA therapy.

Design, synthesis and antifungal activity of amide and imine derivatives containing a kakuol moiety.

In continuation of our program to discover new potential antifungal agents, a series of amide and imine derivatives containing a kakuol moiety were synthesized and characterized by the spectroscopic analysis. By using the mycelium growth rate method, the target compounds were evaluated systematically for antifungal activities in vitro against four plant pathogenic fungi, and structure-activity relationships (SAR) were derived. Compounds 7d, 7e, 7h, 7i and 7r showed obvious inhibitory activity against the corresponding tested fungi at 50 µg/mL. Especially, compounds 7e and 7r displayed more potent antifungal activity against B. cinerea than that of thiabendazole (a positive control). Moreover, compound 7e also exhibited good activity against A. alternata with EC50 values of 11.0 µg/mL, and the value was slightly superior to that of thiabendazole (EC50 = 14.9 µg/mL). SAR analysis showed that the ether group was a highly sensitive structural moiety to the activity and the type as well as position of substituents on benzene ring could make some effects on the activity.

Involvement of PG2212 zinc finger protein in the regulation of oxidative stress resistance in Porphyromonas gingivalis W83.

The adaptation of Porphyromonas gingivalis to H2O2-induced stress while inducible is modulated by an unknown OxyR-independent mechanism. Previously, we reported that the PG_2212 gene was highly upregulated in P. gingivalis under conditions of prolonged oxidative stress. Because this gene may have regulatory properties, its function in response to H2O2 was further characterized. PG2212, annotated as a hypothetical protein of unknown function, is a 10.3-kDa protein with a cysteine 2-histidine 2 (Cys2His2) zinc finger domain. The isogenic mutant P. gingivalis FLL366 (ΔPG_2212) showed increased sensitivity to H2O2 and decreased gingipain activity compared to the parent strain. Transcriptome analysis of P. gingivalis FLL366 revealed that approximately 11% of the genome displayed altered expression (130 downregulated genes and 120 upregulated genes) in response to prolonged H2O2-induced stress. The majority of the modulated genes were hypothetical or of unknown function, although some are known to participate in oxidative stress resistance. The promoter region of several of the most highly modulated genes contained conserved motifs. In electrophoretic mobility shift assays, the purified rPG2212 protein did not bind its own promoter region but bound a similar region in several of the genes modulated in the PG_2212-deficient mutant. A metabolome analysis revealed that PG2212 can regulate a number of genes coding for proteins involved in metabolic pathways critical for its survival under the conditions of oxidative stress. Collectively, our data suggest that PG2212 is a transcriptional regulator that plays an important role in oxidative stress resistance and virulence regulation in P. gingivalis.