Prevention and early detection of prostate cancer

Long non-coding RNA LINC01232 promotes malignancy of prostate cancer through regulation of miR-181a-5p/IRS2 pathway: Ki-67 protein molecular structure and function

The expression level of long non-coding RNA (lncRNA), which functions in a manner similar to that of microrNA, has been confirmed to be closely associated with the regulatory network of multiple cancers. The primary focus of this particular research endeavor was to elucidate the mechanism of action of LINC01232 within the context of prostate cancer, specifically examining how it influences the proliferation of prostate cancer cells by interacting with the miR-181a-5p/IRS2 pathway. Additionally, the study aimed to delve deeper into the role of the Ki-67 protein within this intricate process. To assess the expression and localization of the Ki-67 protein in prostate cancer cells, researchers employed a combination of immunofluorescence and immunohistochemistry techniques. The expression level of Ki-67 protein decreased significantly after down-regulation of LINC01232, indicating that the cell proliferation activity was inhibited. Immunofluorescence and immunohistochemical experiments further confirmed that the expression of Ki-67 protein in prostate cancer cells was positively correlated with the expression of LINC01232.

Transcriptome-Wide Association Study Identified Novel Blood Tissue Gene Biomarkers for Prostate Cancer Risk

OBJECTIVE

A number of susceptibility genes in prostate tissue have been identified to be associated with prostate cancer (PCa) risk. However, the reported genes based on assessing prostate tissue could not fully explain PCa genetic susceptibility. It is believed that genes functioning in the immune system may fill in the gap of some missing heritability.

METHODS

To study potential susceptibility genes acting in such pathways, we performed a transcriptome-wide association study (TWAS) of 79,194 PCa cases and 61,112 control of European ancestry by using three sets of gene expression prediction models of blood tissue.

RESULTS

A total of 470 genes were associated at false discovery rates-corrected p-value < 0.05, of which 51 were implicated as likely causal genes based on fine-mapping analysis. Compared with previous literature, 133 novel genes were reported for the first time. Of the identified genes, five (CREB3L4, GSTP1, MAPK3, NKX3-1, and PIK3C2B) were enriched in a PCa signaling pathway, and 128 genes were enriched in five PCa categories. Importantly, 13 genes (SCP2, LMNA, ZNF148, H2AFV, TACC1, FLII, SUPT4H1, CD300LF, MYO9B, COX6B1, CTSA, EP300, and TSPO) showed consistent effect directions for the measured levels in circulating immune cells between PCa cases and controls, and 14 genes (SLC39A1, ZBTB7B, TRIM59, NCEH1, N4BP2, TAGAP, TACC1, TRAF1, AIP, SECTM1, C18orf54, ZNF793, YIF1B, and TSPO) showed consistency for levels in blood exosomes between PCa patients and controls.

CONCLUSION

The identified blood-based candidate susceptibility genes provide further insights into the genetic basis of PCa risk.

Multi-omics identification of a polyamine metabolism related signature for hepatocellular carcinoma and revealing tumor microenvironment characteristics

Background

Accumulating evidence indicates that elevated polyamine levels are closely linked to tumor initiation and progression. However, the precise role of polyamine metabolism in hepatocellular carcinoma (HCC) remains poorly understood.

Methods

We conducted differential expression analysis on bulk RNA sequencing data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) to identify 65 polyamine metabolism-related genes. By employing unsupervised consensus clustering, AddModuleScore, single-sample gene set enrichment analysis (ssGSEA), and weighted gene co-expression network analysis (WGCNA), we identified polyamine metabolism-related genes at both the bulk RNA-seq and single-cell RNA-seq (scRNA-seq) levels. Utilizing 101 machine learning algorithms, we constructed a polyamine metabolism-related signature (PMRS) and validated its predictive power across training, testing, and external validation cohorts. Additionally, we developed a prognostic nomogram model by integrating PMRS with clinical variables. To explore immune treatment sensitivity, we assessed tumor mutation burden (TMB), tumor immune dysfunction and exclusion (TIDE) score, mutation frequency, and immune checkpoint genes expression. Immune cell infiltration was analyzed using the CIBERSORT algorithm. Finally, RT-qPCR experiments were conducted to validate the expression of key genes.

Results

Using 101 machine learning algorithms, we established a polyamine metabolism-related signature comprising 9 genes, which exhibited strong prognostic value for HCC patients. Further analysis revealed significant differences in clinical features, biological functions, mutation profiles, and immune cell infiltration between high-risk and low-risk groups. Notably, TIDE analysis and immune phenotype scoring (IPS) demonstrated distinct immune treatment sensitivities between the two risk groups. RT-qPCR validation confirmed that these 9 genes were highly expressed in normal cells but significantly downregulated in tumor cells.

Conclusions

Our study developed a polyamine metabolism-based prognostic risk signature for HCC, which may provide valuable insights for personalized treatment strategies in HCC patients.

Profiles and disparities of the global cancer and subtypes burden among adults aged 65 years and older: changing patterns in incidence and mortality, 1990-2021

This study aimed to elucidate the global temporal and geographic characteristics of 29 cancers in older people aged ≥ 65 years, based on data from the Global Burden of Disease Study 2021. The average annual percentage changes (AAPCs) were calculated to estimate temporal trends of age-standardized incidence rates (ASIRs) and age-standardized mortality rates (ASMRs). Globally, there was an increase of 8.52 million cancer cases and 3.16 million cancer deaths among older people from 1990 to 2021. The ASIR of cancers combined presented an annually increased trend (AAPC: 0.49%), and regions with high sociodemographic index (SDI) experienced the highest increase (AAPC: 0.94%). Over the same period, the ASMR of cancers combined annually decreased (AAPC: -0.40%) globally, whereas regions with low SDI (AAPC: 0.32%) and low-middle SDI (AAPC: 0.48%) exhibited significantly increased ASMRs. Prostate cancer, lung cancer, and colorectal cancer were the three most common cancers for older people globally, and decreased relative inequalities were observed in higher-SDI countries from 1990 to 2021. For these three cancers, concentration index of ASMR respectively decreased from 0.26 to 0.06, from 0.20 to 0.17, and from 0.24 to 0.18. In contrast, the ASIR and ASMR of these cancers exhibited significant upward trends in lower-SDI regions. Our findings revealed that cancer burden for older people presented disparities globally, where higher-SDI countries faced a greater burden of cancer incidence and lower-SDI countries experienced an upward trend in cancer mortality. More attention should be given to prostate cancer, lung cancer, female breast cancer, and gastrointestinal cancers, especially in lower-SDI regions.

AI-Driven Prediction of Cardio-Oncology Biomarkers Through Protein Corona Analysis

Protein corona, a layer predominantly composed of proteins and other biomolecules that forms on nanoparticle surfaces upon interaction with biological fluids, has recently been extensively utilized to enhance the depth of plasma proteomics and biomarker discovery. In this study, we integrate protein corona profiling with mass spectrometry (MS)-based bottom-up proteomics (BUP), machine learning, and causality analysis to identify potential biomarkers in the field of cardio-oncology. We selected prostate cancer (PC) and atherosclerosis as model cardio-oncology diseases, given that PC is the most prevalent cancer among men in the United States and frequently coexists with atherosclerotic cardiovascular disease (ASCVD), which contributes to the progression of metastatic PC (mPC). Protein corona profiles were generated from 35 plasma samples categorized into four groups: mPC with ASCVD, nonmetastatic PC (nmPC) with ASCVD, mPC without ASCVD, and nmPC without ASCVD. MS-based BUP analysis identified 887 unique proteins within the protein corona. Gene Ontology (GO) analysis of the 260 proteins common to all samples revealed key plasma proteomic pathways significantly associated with ASCVD and mPC. Using Least Absolute Shrinkage and Selection Operator (LASSO) regularization, we isolated 22 proteins strongly associated with ASCVD or mPC, including chaperonin containing TCP1 subunit 7 (CCT7), which was common to both conditions. Automated formal reasoning and causality analysis of these 22 proteins identified thromboxane-A synthase 1 (TBXAS1) as a primary causal factor linked to both ASCVD and mPC. TBXAS1 plays a critical role in promoting platelet aggregation, vascular smooth muscle cell proliferation, endothelial dysfunction, and thrombosis. In this proof-of-concept study, CCT7 and TBXAS1 emerged as potential biomarkers for both ASCVD and mPC, suggesting their utility as dual biomarkers for early detection and targeted therapeutic interventions. By combining nanomedicine with advanced analytical methods, our integrated approach provides a robust framework for uncovering causal relationships between biomarkers and disease states.

Ethacrynic acid inhibits the growth and proliferation of prostate cancer cells by targeting GSTP1 and regulating the PI3K-AKT signaling pathway

BACKGROUND

As a diuretic, ethacrynic acid (EA) has been shown to play a suppressive role in cancers, including prostate cancer (PC). However, its molecular regulatory mechanism is still unclear. Therefore, our study is centered on investigating the effect of EA on PC development and its mechanism.

METHODS

To verify the binding relationship between EA and GSTP1, molecular docking and cellular thermal shift assay (CETSA) were conducted. To examine how EA affects PC cell proliferation, cell cycle, and apoptosis, cell function assays were performed. qRT-PCR was used to detect GSTP1 mRNA expression. The expression of GSTP1 protein and PI3K-AKT signaling pathway-related proteins in cells was detected by western blot (WB). To verify how EA and GSTP1 influence cell growth in PC, in vivo experiments were conducted.

RESULTS

The binding relationship between GSTP1 and EA was confirmed by molecular docking and CETSA results. Cell experiments showed that EA could hinder PI3K/AKT pathway and PC cell proliferation, arrest the cell cycle in G0/G1 phase, and facilitate apoptosis by binding to GSTP1. In vivo experiments in nude mice verified that the interaction between EA and GSTP1 reduced PI3K and AKT phosphorylation and inhibited the growth of PC cells.

CONCLUSION

EA inhibits PC progression by binding to GSTP1 to downregulate the activity of PI3K/AKT pathway, and this result suggests the potential of EA to be an anticancer agent for PC therapy.

Highly specific colorimetric detection of sarcosine using surface molecular imprinted Zn/Ce-ZIF

Despite significant progress in nanozyme research and the advancement of analytical techniques, the inherent lack of specificity for target analytes often limits their utility in analysis. Integrating specific recognition capabilities into inorganic nanomaterials, independent of biological catalysts or adaptors, represents a crucial breakthrough in the field. Detecting Sarcosine (Sar) in human urine has recently emerged as a non-invasive biomarker for prostate cancer (PCa), presenting a valuable diagnostic tool. This study introduces a novel method for embedding molecular imprinting sites directly onto the surface of a Zn/Ce-based zeolitic imidazolate framework (Zn/Ce-ZIF) nanozyme, facilitating the development of a highly specific colorimetric assay for precise Sar measurement. By utilizing the lanthanide metal cerium as the catalytic element and ZIF-8 as the structural scaffold, we synthesized spherical Zn/Ce-ZIF nanozymes with exceptional oxidase-like catalytic efficiency. The efficiency of molecular imprinting experiments and the ability of molecularly imprinted polymers (MIPs) to identify target molecules were significantly enhanced by using theortical calculations to screen suitable functional monomers. The molecularly imprinted nanozyme (Zn/Ce-ZIF@MIP) initiates a colorimetric oxidation reaction of 3,3',5,5'-tetramethylbenzidine (TMB), wherein the presence of Sar facilitates selective recognition and capture by the MIP shell, modulating the colorimetric response by hindering TMB's access to the catalytic site. An intelligent color extraction detection device has been developed for the rapid perception of Sar. This colorimetric sensing platform has been validated through the detection of Sar in simulated urine samples. Overall, the application of surface molecular imprinting enhances the functionality of nanozymes in analytical fields.

Dual-resonance optical fiber lossy mode resonance immunoprobe for serum PSA detection

Biomarker detection has emerged as an essential complementary approach for early-stage screening of tumors. Conventional methods are constrained by bulky systems, cumbersome operation steps, and low detection accuracy. Here, we demonstrate a dual-resonance optimally configured lossy mode resonance (LMR) immunoprobe for detecting prostate-specific antigen (PSA), a biomarker for prostate cancer (PCa). The dual-resonance structure used in this study introduces low-refractive-index magnesium fluoride (MgF2) as a matching layer before adding indium tin oxide (ITO) as a lossy mode excitation layer to enhance the phase matching between the evanescent wave and the lossy mode to realize dual-resonance. Compared with classical optical fiber LMR, the dual-resonance effect not only improves the detection precision but also features a high accuracy of joint detection. The limit of detection (LOD) of the optical fiber immunoprobe based on dual-resonance for PSA immunoassay can reach down to 52 pg/mL, making it ideally suited for early risk management and prognostic diagnosis of PCa. In addition, the optical fiber immunoprobe is used to detect suspected PCa patients, with a successful recognition rate of 90% compared with that of standard commercially available chemiluminescent assays. This work may pave the way for promising applications of optical fiber immunoprobe for high-precision, high-accuracy, and portable early-stage screening of tumors.

High-performance affinity peptide sensor for prostate specific antigen detection

Prostate-specific antigen (PSA) is the best serum biomarker for prostate cancer (PCa), and the detection of PSA concentration can be used to assess the risk of malignancy. Given the current lack of effective treatment options for PCa, early detection and intervention are particularly important. To address this, we developed a novel electronic biosensor aimed at highly sensitive detection of PSA. The core materials of this sensor consist of the receptor material, PSA-affinity peptides, and the support material, single-walled carbon nanotubes. These materials are cost-effective, can operate at room temperature, and exhibit good stability, which aids in optimizing the sensor's performance and stability. We attached the carbon nanotubes to a gold fork electrode and successfully fabricated the device by chemically linking the peptides to the carbon nanotubes. PSA was subsequently detected through the binding of PSA molecules to specific peptide sequences in standard solution. The sensor achieved a detection limit as low as 10-13μg μL-1, which is lower than that of currently used detection methods, demonstrating exceptional sensitivity. This biosensor offers advantages such as low cost, high efficiency, and strong specificity, indicating its broad application prospects in medical diagnostics, particularly in PCa screening.

Evolving paradigms in prostate cancer screening: a decade of bibliometric insights and technological advancements

Objective

Prostate cancer is a major threat to global male health. This study uses bibliometric methods to analyze the dynamics and trends in prostate cancer screening research, with the aim of optimizing screening strategies and informing policy decisions.

Methods

Utilizing the Web of Science Core Collection database, this study retrieved prostate cancer screening-related literature published between 2014 and 2024, totaling 5,409 articles. Data processing and analysis were conducted using CiteSpace and the Bibliometrix R package, including citation network analysis, co-word analysis, cluster analysis, and trend analysis.

Results

The analysis revealed the following key findings: (1) Global literature on prostate cancer screening has grown annually, with the United States, Europe, and China leading research activity; (2) Research hotspots include the risks and benefits of prostate-specific antigen (PSA) testing, MRI-based screening technologies, and the use of molecular and genetic biomarkers; (3) Emerging technologies, such as machine learning and nanodiagnostic techniques, are enhancing diagnostic precision and reducing overdiagnosis; (4) Network analysis of collaborations reveals a shift toward transnational and interdisciplinary research, particularly in integrating biomedical and computer science to drive rapid advancements in screening technologies.

Conclusion

This study confirms the ongoing vibrancy and technological advancement in the global field of prostate cancer screening research, emphasizing the trend towards precision medicine. Future development of prostate cancer screening strategies should focus on risk-adapted screening and the application of novel biomarkers to optimize screening outcomes and reduce unnecessary medical interventions.

An MRI radiomics model for predicting a prostate-specific antigen response following abiraterone treatment in patients with metastatic castration-resistant prostate cancer

Objective

To establish a combined radiomics-clinical model for the early prediction of a prostate-specific antigen(PSA) response in patients with metastatic castration-resistant prostate cancer(mCRPC) after treatment with abiraterone acetate(AA).

Methods

The data of a total of 60 mCRPC patients from two hospitals were retrospectively analyzed and randomized into a training group(n=48) or a validation group(n=12). By extracting features from biparametric MRI, including T2-weighted imaging(T2WI), diffusion-weighted imaging(DWI), and apparent diffusion coefficient(ADC) maps, radiomics features from the training dataset were selected using least absolute shrinkage and selection operator(LASSO) regression. Four predictive models were developed to assess the efficacy of abiraterone in treating patients with mCRPC. The primary outcome variable was the PSA response following AA treatment. The performance of each model was evaluated using the area under the receiver operating characteristic curve(AUC). Univariate and multivariate analyses were performed using Cox regression to identify significant predictors of the efficacy of abiraterone treatment in patients with mCRPC.

Results

The integrated model was constructed from seven radiomics features extracted from the T2WI, DWI, and ADC sequence images of the training data. This model demonstrated the highest AUC in both the training and validation cohorts, with values of 0.889 (95% CI, 0.764-0.961) and 0.875 (95% CI, 0.564-0.991). The Rad-score served as an independent predictor of the response to abiraterone treatment in patients with mCRPC (HR: 2.21, 95% CI: 1.01-4.44).

Conclusion

The biparametric MRI-based radiomics model has the potential to predict the PSA response in patients with mCRPC following abiraterone treatment.

Clinical relevance statement

The MRI-based radiomics model could be used to noninvasively identify the AA response in mCRPC patients, which is helpful for early clinical decision-making.

Understanding the role of metabolic syndrome in prostate cancer risk: A UK Biobank prospective cohort study

Predictive value of metabolic syndrome for prostate cancer risk is not clear. We aimed to assess the association between metabolic syndrome and its components with prostate cancer incidence. The primary outcome was prostate cancer incidence, i.e., incidence rate ratios and adjusted cumulative incidence curves derived from flexible parametric survival models. Adjusted cumulative incidence curves were derived using a flexible survival parametrical modeling framework. We analysed UK Biobank data including 242,349 adult males, recruited during 2006-2010 and followed up until 2021, during which 6,467 (2.7%) participants were diagnosed with prostate cancer. Our findings indicate that metabolic syndrome, as a whole, was not associated with prostate cancer risk (incidence rate ratios, 1.07; 95% confidence interval, 0.94-1.22). However, specific components such as hypertension and obesity increased the risk (incidence rate ratios, 1.22; 95% confidence interval, 1.03-1.44 and incidence rate ratios, 1.24; 95% confidence interval, 1.05-1.46, respectively). Other components, such as prediabetes/diabetes and low cholesterol, were associated with a reduced risk (incidence rate ratios, 0.80; 95% confidence interval, 0.67-0.94 and incidence rate ratios, 0.82; 95% confidence interval, 0.69-0.97, respectively), while hyperlipidaemia showed no significant effect (incidence rate ratios, 1.07; 95% confidence interval, 0.93-1.24). Further research is needed to understand the underlying mechanisms behind these relationships. Prostate cancer prevention strategies might benefit from targeting modifiable risk factors, particularly hypertension and obesity.

Randomized trials of PSA screening

BACKGROUND

The role of prostate-specific antigen (PSA) testing in prostate cancer (PCa) screening has evolved over recent decades with multiple randomized controlled trials (RCTs) spurring guideline changes. At present, controversy exists due to the indolent nature of many prostate cancers and associated risks of overdiagnosis and overtreatment. This review examines major RCTs evaluating PSA screening to inform clinical practices.

METHODS AND MATERIALS

We summarize findings from primary RCTs investigating PSA screening's impact on PCa mortality and incidence: the Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening Trial, the European Randomized Study of Screening for Prostate Cancer (ERSPC), and the Cluster Randomized Trial of PSA Testing for Prostate Cancer (CAP).

RESULTS

The PLCO Trial randomized men to annual PSA and DRE screening or usual care, reporting no significant difference in PCa mortality between groups at 17 years (RR 0.93, [95% CI: 0.81-1.08]), yet significantly increased detection and concomitant decreased detection in Gleason 6 (RR 1.17, [95% CI: 1.11-1.23]) and 8-10 disease (RR 0.89, [95% CI: 0.80-0.99]) in the screening group, respectively. The ESPRC Trial randomized men across seven European countries to PSA screening every 2-4 years or usual care, noting a 20% reduction in PCa mortality at 9 years (RR 0.81, [95% CI: 0.65-0.98]) and significant decrease in metastatic disease at 12 years (RR 0.70, [95% CI: 0.60-0.82]). The CAP Trial assessed a single PSA screening test's impact on PCa mortality yielding no significant difference in PCa mortality at 10 years (RR 0.96, [95% CI: 0.85-1.08]). Limitations amongst studies included high contamination between study arms and low compliance with study protocols.

CONCLUSIONS

While the CAP and initial PLCO trials showed no significant reduction in PCa mortality, the ERSPC demonstrated a 21% reduction at 13 years, with further benefits at extended follow-up. Differences in outcomes are attributed to variations in trial design, contamination, adherence rates, and PSA thresholds. Future studies are needed focus on optimizing screening intervals, targeting high-risk populations, and incorporating non-invasive diagnostic tools to improve screening efficacy and reduce associated harms.

Prostate cancer burden in major BRICS countries, 1990-2019: findings from the 2019 global burden of disease study

BACKGROUND

This study assessed prostate cancer burden and trends in major BRICS countries (Brazil, Russia, India, China, and South Africa) from 1990 to 2019.

METHODS

Utilizing Global Burden of Disease Study 2019 data, we calculated age-standardized rates for prostate cancer incidence, prevalence, mortality, and disability-adjusted life years (DALYs) with 95% uncertainty intervals (UIs). Joinpoint regression analysis determined the average annual percentage change (AAPC) for trend characterization.

RESULTS

Prostate cancer ranked highest in China for incidence, prevalence, mortality, and DALYs. In 2019, Brazil had the highest age-standardized incidence rate (ASIR) [55.029 (95% UI: 47.744-81.831)] and age-standardized prevalence rate (ASPR) [372.511 (95% UI: 327.549-549.128)], while South Africa recorded the highest age-standardized mortality rate (ASMR) [42.241 (95% UI: 32.146-47.933)], and age-standardized DALY rate (ASDR) [666.085 (95% UI: 522.626-764.612)]. ASIR and ASPR increased significantly over three decades (AAPC > 0), with varying ASMR and ASDR trends.

CONCLUSION

Prostate cancer poses a significant public health challenge. While incidence and prevalence rise, mortality declines in China, India, and Brazil. Tailored health policies are crucial to address diverse disease burden characteristics.

Epidemiology of prostate cancer in Nigeria: a mixed methods systematic review

PURPOSE

Prostate cancer (PCa) is an increasing burden in Sub-Saharan Africa. This systematic review examined the incidence, prevalence, clinical characteristics and outcomes of PCa in Nigeria.

METHODS

This review followed the standard Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines. Peer-reviewed observational studies that focused on epidemiology of PCa in Nigeria, published between 1990 and 2023 and written in English were eligible. Combination of keywords was used to search PubMed, Scopus, Google scholar, AJOL and web of science databases. A piloted form by the Cochrane Public Health Group Data Extraction and Assessment Template was used to extract data from retrieved studies. Quality assessment of included studies was performed using the Newcastle-Ottawa scale for observational studies.

RESULTS

Of the 1898 articles retrieved, 21 met the inclusion criteria. All included studies showed good quality. Mean age for PCa ranged from 55 to 71 years, with a higher prevalence occurring within 60-69 years. A 7.7 fold increase in PCa incidence was reported for the years 1997-2006, while an average annual increase in incidence rate of 11.95% was observed from 2009 to 2013. Hospital-based prevalence of 14%-46.4% was observed for clinically active PCa. Patients presented for diagnosis with high Gleason scores and advanced PCa. High mortality (15.6%-64.0%) occurred between 6 months and 3 years of diagnosis.

CONCLUSION

Findings suggest rising incidence and high prevalence of PCa in Nigeria. Advanced PCa was most common at diagnosis and mortality was high. There is need for improved strategies and policies for early detection of PCa in Nigeria.

Impact of Mitophagy-Related Genes on the Diagnosis and Development of Esophageal Squamous Cell Carcinoma via Single-Cell RNA-seq Analysis and Machine Learning Algorithms

As a treatment for esophageal squamous cell carcinoma (ESCC), which is common and fatal, mitophagy is a conserved cellular mechanism that selectively removes damaged mitochondria and is crucial for cellular homeostasis. While tumor development and resistance to anticancer therapies are related to ESCC, their role in ESCC remains unclear. Here, we investigated the relationship between mitophagy-related genes (MRGs) and ESCC to provide novel insights into the role of mitophagy in ESCC prognosis and diagnosis prediction. First, we identified MRGs from the GeneCards database and examined them at both the single-cell and transcriptome levels. Key genes were selected and a prognostic model was constructed using least absolute shrinkage and selection operator analysis. External validation was performed using the GSE53624 dataset and Kaplan-Meier survival analysis was performed to identify PYCARD as a gene significantly associated with survival in ESCC. We then examined the effect of PYCARD on ESCC cell proliferation and migration and identified 169 MRGs at the single-cell and transcriptome levels, as well as the high-risk groups associated with cancer-related pathways. Thirteen key genes were selected for model construction via multiple machine learning algorithms. PYCARD, which is upregulated in patients with ESCC, was negatively correlated with prognosis and its knockdown inhibited ESCC cell proliferation and migration. Our ESCC prediction model based on mitophagy-related genes demonstrated promising results and provides more options for the management and clinical treatment of ESCC patients. Moreover, targeting or regulating PYCARD levels might offer new therapeutic strategies for ESCC patients in clinical settings.

CRISPR/Cas9 Technology Providing the Therapeutic Landscape of Metastatic Prostate Cancer

Prostate cancer (PCa) is the most prevalent malignancy and the second leading cause of cancer-related death in men. Although current therapies can effectively manage the primary tumor, most patients with late-stage disease manifest with metastasis in different organs. From surgery to treatment intensification (TI), several combinations of therapies are administered to improve the prognosis of patients with metastatic PCa. Due to the high frequency of the mutation during the metastatic phase, the clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated nuclease 9 (Cas9) genetic engineering tool can accelerate the effects of TI by enhancing targeted gene therapy or immunotherapy. This review describes the genetic background of metastatic PCa and how CRISPR/Cas9 technology can contribute to the field of PCa treatment development. It also discusses the current limitations of conventional PCa therapy and the potential of CRISPR-based PCa therapy.

MicroRNA in prostate cancer: from biogenesis to applicative potential

Prostate cancer is the most common solid malignant tumor in men, characterized by high morbidity and mortality. While current screening tools, such as prostate-specific antigen (PSA) testing and digital rectal examination, are available for early detection of prostate cancer, their sensitivity and specificity are limited. Tissue puncture biopsy, although capable of offering a definitive diagnosis, has poor positive predictive rates and burdens the patient more. Therefore, more reliable molecular diagnostic tools for prostate cancer urgently need to be developed. In recent years, microRNAs (miRNAs) have attracted much attention in prostate cancer research. miRNAs are extensively engaged in biological processes such as cell proliferation, differentiation, apoptosis, migration, and invasion by modulating gene expression post-transcriptionally. Dysregulation of miRNA expression in cancer is considered a critical factor in tumorigenesis and progression. This review first briefly introduces the biogenesis of miRNAs and their functions in cancer, then focuses on tumor-promoting miRNAs and tumor-suppressor miRNAs in prostate cancer. Finally, the potential application of miRNAs as multifunctional tools for cancer diagnosis, prognostic assessment, and therapy is discussed in detail. The concluding section summarizes the major points of the review and the challenges ahead.

Validation of candidate protein biomarkers previously identified by genetic instruments for prostate cancer risk: A prospective cohort analysis of directly measured protein levels in the ARIC study

BACKGROUND

Multiple novel protein biomarkers have been shown to be associated with prostate cancer risk using genetic instruments. This study aimed to externally validate the associations of 30 genetically predicted candidate proteins with prostate cancer risk using aptamer-based levels in US Black and White men in the Atherosclerosis Risk in Communities (ARIC) study. Plasma protein levels were previously measured by SomaScan® using the blood collected in 1990-1992.

METHODS

Among 4864 eligible participants, we ascertained 667 first primary prostate cancer cases through 2015. Hazard ratios (HRs) of prostate cancer and 95% confidence intervals (CIs) were estimated using Cox proportional hazards regression for tertiles of each protein. We adjusted for age, race, and other risk factors.

RESULTS

Of the 30 proteins and considering a nominal p trend < 0.05, two were positively associated with prostate cancer risk-RF1ML (tertile 3 vs. 1: HR = 1.23; 95% CI 1.02-1.48; p trend = 0.037) and TPST1 (1.28, 95% CI 1.06-1.55; p trend = 0.0087); two were inversely associated-ATF6A (HR = 0.80, 95% CI 0.65-0.98; p trend = 0.028) and SPINT2 (HR = 0.74, 95% CI 0.61-0.90; p trend = 0.0025). One protein, KDEL2, which was nonlinearly associated (test-for-linearity: p < 0.01) showed a statistically significant lower risk in the second tertile (HR = 0.79, 95% CI 0.65-0.95). Of these five, four proteins-ATF6A, KDEL2, RF1ML, and TPST1-were consistent in the direction of association with the discovery studies.

CONCLUSION

This study validated some pre-diagnostic protein biomarkers of the risk of prostate cancer.

The Role of Trace Metals in the Development and Progression of Prostate Cancer

Over the years, prostate cancer (PCa) research has been of great interest, and trace metals have attracted a lot of attention due to their association with prostate cancer development and progression. PCa has a complex etiology, with genetic, environmental, and lifestyle factors being implicated. Trace metals such as zinc (Zn), mercury (Hg), selenium (Se), lead (Pb), cadmium (Cd), manganese (Mn), arsenic (As), and nickel (Ni) have garnered much attention in recent years, suspected of having direct links to the modulation of cancer risk and progression through their impacts on prostate cancer omics (genomics, epigenetics, proteomics, and transcriptomics). This has led to them being the subject of extensive research in this regard. In this review, we explored the influence of trace metals and offered a comprehensive analysis of the current knowledge on how trace metals affect the biology of prostate cancer at a molecular level by integrating findings from the recent literature to help suggest possible directions for future research.

Impact of Nanomedicine in Women's Metastatic Breast Cancer

Metastatic breast cancer is responsible for 90% of mortalities among women suffering from various types of breast cancers. Traditional cancer treatments such as chemotherapy and radiation therapy can cause significant side effects and may not be effective in many cases. However, recent advances in nanomedicine have shown great promise in the treatment of metastatic breast cancer. For example, nanomedicine demonstrated robust capacity in detection of metastatic cancers at early stages (i.e., before the metastatic cells leave the initial tumor site), which gives clinicians a timely option to change their treatment process (for example, instead of endocrine therapy they may use chemotherapy). Here recent advances in nanomedicine technology in the identification and treatment of metastatic breast cancers are reviewed.

Clinical value of a radiomics model based on machine learning for the prediction of prostate cancer

OBJECTIVE

Radiomics models have demonstrated good performance for the diagnosis and evaluation of prostate cancer (PCa). However, there are currently no validated imaging models that can predict PCa or clinically significant prostate cancer (csPCa). Therefore, we aimed to identify the best such models for the prediction of PCa and csPCa.

METHODS

We performed a retrospective study of 942 patients with suspected PCa before they underwent prostate biopsy. MRI data were collected to manually segment suspicious regions of the tumor layer-by-layer. We then constructed models using the extracted imaging features. Finally, the clinical value of the models was evaluated.

RESULTS

A diffusion-weighted imaging (DWI) plus apparent diffusion coefficient (ADC) random-forest model and a T2-weighted imaging plus ADC and DWI multilayer perceptron model were the best models for the prediction of PCa and csPCa, respectively. Areas under the curve (AUCs) of 0.942 and 0.999, respectively, were obtained for a training set. Internal validation yielded AUCs of 0.894 and 0.605, and external validation yielded AUCs of 0.732 and 0.623.

CONCLUSION

Models based on machine learning comprising radiomic features and clinical indicators showed good predictive efficiency for PCa and csPCa. These findings demonstrate the utility of radiomic models for clinical decision-making.

Evaluation of circulating plasma proteins in prostate cancer using mendelian randomization

BACKGROUND

The proteome is an important resource for exploring potential diagnostic and therapeutic targets for cancer. This study aimed to investigate the causal associations between plasma proteins and prostate cancer (PCa), and to explore the downstream phenotypes that plasma proteins may influence and potential upstream intervening factors.

METHODS

Proteome-wide Mendelian randomization was used to investigate the causal effects of plasma proteins on PCa. Colocalization analysis examined the common causal variants between plasma proteins and PCa. Summary-statistics-based Mendelian Randomization (SMR) analyses identified associations between the expression of protein-coding genes and PCa. Phenome-wide association study was performed to explore the effect of target proteins on downstream phenotypes. Finally, a systematic Mendelian randomization analysis between lifestyle factors and plasma proteins was performed to assess upstream intervening factors for plasma proteins.

RESULTS

The findings revealed a positive genetic association between the predicted plasma levels of nine proteins and an elevated risk of PCa, while four proteins exhibited an inverse association with PCa risk. SMR analyses revealed ZG16B, PEX14 in blood and ZG16B, NAPG in prostate tissue were potential drug targets for PCa. The genetic association of PEX14 with PCa was further supported by colocalization analysis. Further Phenome-wide association study showed possible side effects of ZG16B, PEX14 and NAPG as drug targets. 10 plasma proteins (RBP7, TPST1, NFASC, LAYN, HDGF, SERPIMA5, DLL4, EFNA3, LIMA1, and CCL27) could be modulated by lifestyle-related factors.

CONCLUSION

This study explores the genetic associations between plasma proteins and PCa, provides evidence that plasma proteins serve as potential drug targets and enhances the understanding of the molecular etiology, prevention and treatment of PCa.

Prostate Cancer Knowledge, Beliefs and Screening Uptake among Black Survivors: A Qualitative Exploration at a Tertiary Hospital, Limpopo Province, South Africa

Men of African ancestry suffer disproportionately from prostate cancer (PCa) compared to other racial groups in South Africa. Equally concerning is that black South African men generally present later and with higher stages and grades of the disease than their non-black counterparts. Despite this, a small percentage of black South African men participate in screening practices for PCa. This study sought to explore knowledge and beliefs of black South African PCa survivors, and the potential impact of this on the limited screening uptake within this population group. A hermeneutic phenomenological study design was undertaken. The sample comprised 20 black South African PCa survivors, between the ages of 67 and 85 years (meanage = 76 yrs; SD = 5.3), receiving some form of treatment at a tertiary Academic Hospital, Limpopo Province, South Africa. The sample was selected through a purposive sampling method. Data for the study were collected through in-depth, semi-structured individual interviews and analyzed through interpretative phenomenological analysis (IPA). The findings demonstrated that black South African men had poor knowledge of PCa and that this may create an unfortunate system that precludes this population group from taking part in life-saving PCa screening services. The results highlight a need to elevate knowledge and awareness of PCa among black South African men and ultimately enhance screening practices.

Novel Mutations in AKT1 Gene in Prostate Cancer Patients in Jordan

The AKT1 oncogene is related to various cancers due to its critical role in the PIC3CA/AKT1 pathway; however, most of the studies screened the hotspot mutation AKT1 (E17K) with various incidences. Low frequency or lack of AKT1 (E17K) mutation was reported in prostate cancer (PC) patients. This study aims to explore genetic alterations in the AKT1 PH domain by extending the sequencing to include AKT1 gene exons 3 and 4. Genomic DNA was extracted from 84 Formalin-Fixed Paraffin-Embedded samples of PC patients in Jordan, and then subjected to PCR and sequencing for the targeted exons. This study revealed the presence of two novel mutations (N53Y and Q59K) and a high frequency of mutations in exon 4, with a lack of mutations in the E17K hotspot. Nine missense and two synonymous mutations were detected in exon 4 (Phe27Tyr, Phe27Leu, Ala58Thr, Ser56Phe, Arg41Trp, Phe35Leu, Asp32Glu, Phe35Tyr, and Gln43Lys) and (Ser56 and Glu40), respectively. Two synonymous mutations were detected in exon 3 (Leu12 and Ser2). It is concluded that there is a high frequency of AKT1 mutation in PC patients in Jordan with two novel missense mutations in the Pleckstrin homology (PH) domain. E17K hotspot mutation was not detected in any tested samples, which underlined the significant role of mutations in other AKT1 exons in PC development.

Diagnostic efficacy of [99mTc]Tc-PSMA SPECT/CT for prostate cancer: a meta-analysis

BACKGROUND

Prompt and accurate diagnosis of prostate cancer (PCa) is of paramount importance for effective treatment planning. While Gallium-68 labeled prostate-specific membrane antigen (PSMA) positron emission tomography (PET)/computed tomography (CT) has proven efficacy in detecting PCa, limited availability poses challenges. As a potential alternative, [99mTc]Tc-PSMA single photon emission computed tomography (SPECT)/computed tomography (CT) holds promise. This systematic review and meta-analysis aimed to evaluate the diagnostic value of [99mTc]Tc-PSMA SPECT/CT for prostate cancer.

METHODS

A comprehensive search of PubMed, Cochrane, EMBASE, Scopus, Ovid, and Web of Science databases was conducted until July 2024. Sensitivity and specificity data were extracted to assess the diagnostic accuracy of [99mTc]Tc-PSMA SPECT/CT, while the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool was used to evaluate study quality. Statistical analyses were performed using STATA 18, with MetaDisc 1.4 employed to detect threshold effects. Diagnostic accuracy indicators, including sensitivity, specificity, diagnostic odds ratio (DOR), negative likelihood ratio (LR-), and positive likelihood ratio (LR+), were pooled. The area under the curve (AUC) of the combined model was calculated using summary receiver-operating characteristic (SROC) curves.

RESULTS

Seven studies meeting the inclusion criteria were identified from an initial pool of 1467 articles, with no publication bias observed. The pooled sensitivity, specificity, and AUC of [99mTc]Tc-PSMA SPECT/CT were found to be 0.89 (95% CI, 0.84-0.93), 0.92 (95% CI, 0.67-0.99), and 0.93 (95% CI, 0.90-0.95), respectively. Additionally, the comprehensive diagnostic odds ratio, diagnostic score, positive likelihood ratio, and negative likelihood ratio were calculated as 95.24 (95% CI, 17.30-524.41), 4.56 (95% CI, 2.85-6.26), 11.35 (95% CI, 2.31-55.71), and 0.12 (95% CI, 0.08-0.18), respectively.

CONCLUSIONS

In conclusion, our findings demonstrate that [99mTc]Tc-PSMA SPECT/CT exhibits favorable diagnostic performance for prostate cancer and can provide valuable supplementary information, particularly in regions and settings where [68Ga]Ga-PSMA PET/CT availability is limited, such as remote areas. These results highlight the potential of [99mTc]Tc-PSMA SPECT/CT as a valuable tool in the diagnosis and management of prostate cancer, warranting further investigation and validation in larger patient cohorts.

Biomolecule-regulation of fluorescent probe signaling: Homogeneous rapid portable protease sensing in serum

BACKGROUND

As is well documented, prostate cancer (PCa) being the second most prevalent cancer in men worldwide, emphasizing the importance of early diagnosis for prognosis. However, conventional prostate-specific antigen (PSA) testing lacks sufficient diagnostic efficiency due to its relatively low sensitivity and limited detection range. Mounting evidence suggests that matrix metalloproteinase 9 (MMP-9) expression increases with the aggressive behavior of PCa, highlighting the significance of detecting the serum level of MMP-9 in patients. Developing a non-immune rapid, portable MMP-9 detection strategy and investigating its representativeness of PCa serum markers hold considerable implications.

RESULTS

Herein, our study developed a simple, homogeneous dual fluorescence and smartphone-assisted red-green-blue (RGB) visualization peptide sensor of MMP-9, utilizing cadmium telluride quantum dots (CdTe QDs) and calcein as signal reporters. The essence of our approach revolves around the proteolytic ability of MMP-9, exploiting the selective recognition of molecule-Cu2+ complexes with different molecular weights by CdTe QDs and calcein. Under optimized conditions, the limits of detection (LODs) for MMP-9 were 0.5 pg/mL and 6 pg/mL using fluorescence and RGB values readouts, respectively. Indeed, this strategy exhibited robust specificity and anti-interference ability. MMP-9 was quantified in 42 clinical serum samples via dual-fluorescence analysis, with 12 samples being visually identified with a smartphone. According to receiver operating characteristic curve (ROC) analysis, its sensitivity and specificity were 90 % and 100 %, respectively, with an area under curve (AUC) value of 0.903.

SIGNIFICANCE AND NOVELTY

Of note, the results of the aforementioned analysis were highly consistent with the serum level of PSA, clinical color Doppler flow imaging (CDFI), and histopathological results. Therefore, this simple, rapid, homogeneous fluorescence and visualization strategy can reliably measure MMP-9 levels and exhibit promising potential in point-of-care testing (POCT) applications for PCa patients.

Advancements in nanomedicine: Precision delivery strategies for male pelvic malignancies - Spotlight on prostate and colorectal cancer

BACKGROUND

Pelvic malignancies consistently pose significant global health challenges, adversely affecting the well-being of the male population. It is anticipated that clinicians will continue to confront these cancers in their practice. Nanomedicine offers promising strategies that revolutionize the treatment of male pelvic malignancies by providing precise delivery methods that aim to improve the efficacy of therapeutic outcomes while minimizing side effects. Nanoparticles are designed to encapsulate therapeutic agents and selectively target cancer cells. They can also be loaded with theragnostic agents, enabling multifunctional capabilities.

OBJECTIVE

This review aims to summarize the latest nanomedicine research into clinical applications, focusing on nanotechnology-based treatment strategies for male pelvic malignancies, encompassing chemotherapy, radiotherapy, immunotherapy, and other cutting-edge therapies. The review is structured to assist physicians, particularly those with limited knowledge of biochemistry and bioengineering, in comprehending the functionalities and applications of nanomaterials.

METHODS

Multiple databases, including PubMed, the National Library of Medicine, and Embase, were utilized to locate and review recently published articles on advancements in nano-drug delivery for prostate and colorectal cancers.

CONCLUSION

Nanomedicine possesses considerable potential in improving therapeutic outcomes and reducing adverse effects for male pelvic malignancies. Through precision delivery methods, this emerging field presents innovative treatment modalities to address these challenging diseases. Nevertheless, the majority of current studies are in the preclinical phase, with a lack of sufficient evidence to fully understand the precise mechanisms of action, absence of comprehensive pharmacotoxicity profiles, and uncertainty surrounding long-term consequences.

Insulin-like growth factor family and prostate cancer: new insights and emerging opportunities

Prostate cancer is the second most commonly diagnosed cancer in men. The mammalian insulin-like growth factor (IGF) family is made up of three ligands (IGF-I, IGF-II, and insulin), three receptors (IGF-I receptor (IGF-1R), insulin receptor (IR), and IGF-II receptor (IGF-2R)), and six IGF-binding proteins (IGFBPs). IGF-I and IGF-II were identified as potent mitogens and were previously associated with an increased risk of cancer development including prostate cancer. Several reports showed controversy about the expression of the IGF family and their connection to prostate cancer risk due to the high degree of heterogeneity among prostate tumors, sampling bias, and evaluation techniques. Despite that, it is clear that several IGF family members play a role in prostate cancer development, metastasis, and androgen-independent progression. In this review, we aim to expand our understanding of prostate tumorigenesis and regulation through the IGF system. Further understanding of the role of IGF signaling in PCa shows promise and needs to be considered in the context of a comprehensive treatment strategy.

Cannabis and cancer: unveiling the potential of a green ally in breast, colorectal, and prostate cancer

Cancer comes in second place on the list of causes of death worldwide. In 2018, the 5-year prevalence of breast cancer (BC), prostate cancer (PC), and colorectal cancer (CRC) were 30%, 12.3%, and 10.9%, respectively. Cannabinoids are chemicals derived from the Cannabis sativa plant; the most investigated cannabinoids are cannabinol, delta 9-tetrahydrocannabinol (Δ9-THC), and cannabidiol. In humans, the endogenous endocannabinoid system consists of endocannabinoids, cannabinoids receptors (CBs), and enzymes that degrade the endocannabinoids. In this review, we will review the most recent literature for evidence that discusses the role of cannabis in the treatment of the three types of neoplasms mentioned. Studies have proved that BC cells express CB receptors; many in-vivo studies showed that cannabinoids cause apoptosis and inhibit proliferation and migration. Also, researchers found that treating BC mice with THC and JWH-133 (CB2 receptor agonist) slowed the tumor growth. Regarding CRC, cannabidiol was found to decrease the viability of chemotherapy-resistant CRC cells and inhibit metastasis by antagonizing the G-protein-coupled receptor 55 (GPR55; a novel cannabinoid receptor) necessary for metastasis. Moreover, cannabidiol had anti-angiogenetic effects by reducing the expression of vascular endothelial growth factor (VEGF) in addition to anti-inflammatory effects. Finally, studies demonstrated that PC cells highly express CB1 and CB2 receptors and that cannabinoids are capable of inhibiting the release of exosomes and microvesicles related to cancer progression. Cannabinoids also have antiproliferative, anti-invasive, anti-fibroblastic, cell cycle arrest, and proapoptotic effects on PC cells.

Effect of Socioeconomic Disparities on Suicide Risk in Patients With Prostate Cancer During 2005 to 2020: A Population Study

PURPOSE

To determine whether socioeconomic disparities have an impact on the likelihood of suicide among prostate cancer patients.

METHODS

Data were extracted from the Surveillance, Epidemiology, and End Results (SEER) database for patients diagnosed with malignant prostate cancer between 2005 and 2020. The socioeconomic disparities of the patients were evaluated by median household income (MHI) and ethnicity. Ethnicity included Spanish-Hispanic-Latino and non-Spanish-Hispanic-Latino. A Cox proportional risk model was utilized. Using the Kaplan-Meier approach, the cumulative incidence of suicide mortality was measured.

RESULTS

A total of 857,418 US population with prostate cancer were included. In the multivariate analysis, individuals with MHI over $75,000 had a lower risk of suicide mortality than those with MHI between $54,999 and $74,999 in all patients (aHRs: 0.693, 95 CI%: 0.603-0.797). Spanish-Hispanic-Latino displayed lower overall suicide mortality in all patients (aHRs: 0.426, 95% CI: 0.323-0.561). In the subgroup analysis of different ages, individuals with MHI over $75,000 had a lower risk of suicide than those with MHI between $54,999 and $74,999 in patients 60 to 79 years (aHRs: 0.668, 95% CI: 0.562-0.794) and individuals with MHI below $54,999 had higher suicide risk than those with MHI between $54,999 and $74,999 in patients 80+ years (aHRs: 1.786, 95% CI: 1.100-2.902). Hispanic-Latino individuals had lower overall suicide mortality in 00 to 59 years (aHRs: 0.420, 95% CI: 0.240-0.734), 60 to 79 years (aHRs: 0.445, 95% CI: 0.319-0.621), 80+ years (aHRs: 0.363, 95% CI: 0.133-0.988).

CONCLUSION

Socioeconomic disparities, including MHI and ethnicity, are important factors strongly related to suicide risk in prostate cancer patients. The lower MHI individuals and non-Spanish-Hispanic-Latino individuals were associated with higher suicide risk.

Blood Pb levels are associated with prostate cancer prevalence among general adult males: Linking National Cancer Registry (2002-2017) and KNHANES (2008-2017) databases of Korea

BACKGROUND

Exposure to heavy metals may increase the risk of developing prostate cancer. However, these observations are often inconsistent and not based on clinically diagnosed cases.

OBJECTIVE

To investigate the association of lead (Pb), cadmium (Cd), and mercury (Hg) exposure with clinically determined prostate cancer cases among adult males in South Korea.

METHODS

Metal biomonitoring data and cancer information from the general Korean population were extracted by linking National Cancer Center (NCC) cancer registration data (2002-2017) with Korea National Health and Nutrition Examination Survey (KNHANES) data (2008-2017). Among them, 46 prostate cancer cases (designated as 'all-prostate'), including 25 diagnosed after heavy metal measurement (designated as 'post-prostate'), and 93 matching controls were chosen. Logistic regression analysis was used to calculate the odds ratios (ORs) and 95% confidence intervals (CIs) between the heavy metal levels and prostate cancer.

RESULTS

Post-prostate patients exhibited higher blood Pb levels than controls (median 3.1 μg/dL vs. 2.38 μg/dL, p = 0.01). For all-prostate cancer, the OR of prostate cancer increased by 2.04-fold for every doubling of Pb levels (95% CI = 1.08-3.87, p = 0.03). The OR was also significantly elevated when comparing the third quartile (Q3) to the lowest quartile (Q1), with ORs ranging from 3.38 to 7.95, depending on model (p < 0.05). Blood Pb levels maintained a positive association with inconsistent significance for post-prostate cancer patients. For Cd and Hg, no statistically significant association was established.

SIGNIFICANCE

By linking two national health databases for the first time, we constructed an unbiased database of prostate cancer cases and matching controls. We found that blood Pb concentrations were associated with the risk of prostate cancer in Korean men at the current level of exposure.

European cancer mortality predictions for the year 2024 with focus on colorectal cancer

BACKGROUND

We predicted cancer mortality figures for 2024 for the European Union (EU), its five most populous countries, and the UK. We focused on mortality from colorectal cancer (CRC).

MATERIALS AND METHODS

Based on cancer death certification and population data from the World Health Organization and Eurostat databases from 1970 until the most available year, we predicted deaths and age-standardized rates (ASRs) for 2024 for all cancers and the 10 most common cancer sites. We fitted a linear regression to the most recent trend segment identified by the joinpoint model. The number of avoided deaths since the peak in 1988-2024 was estimated for all cancers and CRC.

RESULTS

We predicted 1 270 800 cancer deaths for 2024 in the EU, corresponding to ASRs of 123.2/100 000 men (-6.5% versus 2018) and 79.0/100 000 women (-4.3%). Since 1988, about 6.2 million cancer deaths have been avoided in the EU and 1.3 million in the UK. Pancreatic cancer displayed unfavorable predicted rates for both sexes (+1.6% in men and +4.0% in women) and lung cancer for women (+0.3%). The focus on CRC showed falls in mortality at all ages in the EU, by 4.8% for men and 9.5% for women since 2018. The largest declines in CRC mortality are predicted among those 70+ years old. In the UK, projected ASRs for CRC at all ages are favorable for men (-3.4% versus 2018) but not for women (+0.3%). Below age 50 years, CRC mortality showed unfavorable trends in Italy and the UK, in Poland and Spain for men, and in Germany for women.

CONCLUSIONS

Predicted cancer mortality rates remain favorable in the EU and the UK, mainly in males due to earlier smoking cessation compared to females, underlining the persisting major role of tobacco on cancer mortality in Europe. Attention should be paid to the predicted increases in CRC mortality in young adults.

Overcoming chemoresistance and radio resistance in prostate cancer: The emergent role of non-coding RNAs

Prostate cancer (PCa) continues to be a major health concern worldwide, with its resistance to chemotherapy and radiation therapy presenting major hurdles in successful treatment. While patients with localized prostate cancer generally have a good survival rate, those with metastatic prostate cancer often face a grim prognosis, even with aggressive treatments using various methods. The high mortality rate in severe cases is largely due to the lack of treatment options that can offer lasting results, especially considering the significant genetic diversity found in tumors at the genomic level. This comprehensive review examines the intricate molecular mechanisms governing resistance in PCa, emphasising the pivotal contributions of non-coding RNAs (ncRNAs). We delve into the diverse roles of microRNAs, long ncRNAs, and other non-coding elements as critical regulators of key cellular processes involved in CR & RR. The review emphasizes the diagnostic potential of ncRNAs as predictive biomarkers for treatment response, offering insights into patient stratification and personalized therapeutic approaches. Additionally, we explore the therapeutic implications of targeting ncRNAs to overcome CR & RR, highlighting innovative strategies to restore treatment sensitivity. By synthesizing current knowledge, this review not only provides a comprehension of the chemical basis of resistance in PCa but also identifies gaps in knowledge, paving the way for future research directions. Ultimately, this exploration of ncRNA perspectives offers a roadmap for advancing precision medicine in PCa, potentially transforming therapeutic paradigms and improving outcomes for patients facing the challenges of treatment resistance.

A Facile Strategy for Multiplex Protein Detection by a Fluorescent Microsphere-Based Digital Immunoassay

The digital immunoassay is a highly sensitive detection technique based on single-molecule counting and is widely used in the ultrasensitive detection of biomarkers. Herein, we developed a fluorescent microsphere-based digital immunoassay (FMDIA) by employing fluorescent microspheres as both the carriers for immunoreaction and fluorescent reports for imaging. In this approach, the target protein in the sample was captured by fluorescent microspheres to form a biotin-labeled sandwich immunocomplex, and then, the fluorescent microspheres containing the target protein molecules were captured by adding streptavidin-coated magnetic beads (SA-MBs). By counting the proportion of fluorescence-positive magnetic beads, the concentration of the target protein can be precisely quantified. As a proof of concept, α fetoprotein (AFP) and human interleukin-6 (IL-6) were used to assess the analytical performance of the proposed FMDIA, and limit of detection (LOD) values of 21 pg/mL (0.30 pM) and 0.19 pg/mL (7.3 fM) were achieved, respectively. The results of AFP detection in serum samples of patients and healthy people were consistent with the reference values given by the hospital. Furthermore, by adding fluorescent microspheres of various colors for encoding, the proposed FMDIA can easily realize the simultaneous detection of multiple proteins without the need to introduce multiple modified magnetic beads. This multiplex protein detection strategy, in which the reactions are first carried out on the fluorescent microspheres and then magnetic beads are used to capture the fluorescent reporters containing the target molecules, provides a new idea for digital assays.

ROS-responsive polyprodrug micelles carrying suicide genes in combination with chemotherapy and gene therapy for prostate cancer treatment

Prostate cancer is the most common malignant tumor in the male reproductive system, and its incidence increases with age. Chemotherapy is one of the main strategies for treating prostate cancer, but it often comes with unavoidable side effects. Nanocarriers can improve drug utilization and targeting, and cationic carriers can also carry nucleic acids for gene therapy. In this study, we prepared a cationic micelle constructed from a polyprodrug that can deliver both chemotherapeutic drugs and nucleic acids simultaneously. The typical chemotherapeutic drug hydroxycamptothecin (HCPT) was linked by reactive oxygen species (ROS)-responsive coupling agents and forms amphiphilic block polymers with low molecular weight polyethyleneimine (PEI). The resulting cationic micelles can be triggered by high levels of ROS in tumor cells and collapse to release HCPT and suicide genes to kill tumor cells. At the same time, it reduces the killing of normal cells. In prostate cancer cells, it has been confirmed that the co-delivery carriers combined with chemotherapy and a suicide gene prodrug system have shown an ideal therapeutic effect on prostate cancer.

The role of oxidative stress and inflammation biomarkers in pre- and postoperative monitoring of prostate cancer patients

INTRODUCTION

Prostate Cancer (PC) is a global health concern affecting men worldwide. Oxidative stress is believed to contribute to the initiation of early-stage PC lesions. Additionally, inflammation has long been acknowledged as a factor in the development of PC. We aimed to examine the biomarkers of oxidative stress and inflammation in PC patients before and after surgery.

PATIENTS AND METHODS

A cross-sectional study was conducted at the Urology Outpatient Clinic of Bezmialem Vakif University Hospital. A total of 150 individuals were included in the study, divided into five groups: 50 Healthy controls, 25 patients with Benign Prostatic Hyperplasia (BPH), 25 patients with Low-Risk Prostate Cancer (LRPC), 25 patients with Medium-Risk Prostate Cancer (MRPC), and 25 patients with High-Risk Prostate Cancer (HRPC). Measurements of Total Oxidant Status (TOS), Total Antioxidant Status (TAS), Total Thiol (TT), and Native Thiol (NT) were performed using photometric methods. Oxidative Stress Index (OSI) and Disulfide (DIS) levels were calculated mathematically. Levels of Interleukin-10 (IL-10), Interleukin-1beta (IL-1β), Tumor Necrosis Factor-alpha (TNF-α), Interleukin-6 (IL-6), and Presepsin were determined using commercially available enzyme-linked immunosorbent assay (ELISA) kits.

RESULTS

Compared to the healthy control group, the results indicated a statistically significant increase in both oxidative stress and inflammation levels. In the groups receiving both pharmaceutical therapy and surgical treatment (PC), a significant decrease in oxidative stress and inflammation levels was observed.

CONCLUSION

Consequently, it is suggested that the assessment of oxidative stress and inflammatory biomarkers should be incorporated in the pre- and postoperative monitoring of patients with PC.

The emerging role of non-coding RNAs in the Wnt/β-catenin signaling pathway in Prostate Cancer

Prostate cancer (PCa) is an important worldwide medical concern, necessitating a greater understanding of the molecular processes driving its development. The Wnt/-catenin signaling cascade is established as a central player in PCa pathogenesis, and recent research emphasizes the critical involvement of non-coding RNAs (ncRNAs) in this scenario. This in-depth study seeks to give a thorough examination of the complex relationship between ncRNAs and the Wnt/β-catenin system in PCa. NcRNAs, such as circular RNAs (circRNAs), long ncRNAs (lncRNAs), and microRNAs (miRNAs), have been recognized as essential regulators that modulate numerous facets of the Wnt/β-catenin network. MiRNAs have been recognized as targeting vital elements of the process, either enhancing or inhibiting signaling, depending on their specific roles and targets. LncRNAs participate in fine-tuning the Wnt/β-catenin network as a result of complicated interplay with both upstream and downstream elements. CircRNAs, despite being a relatively recent addition to the ncRNA family, have been implicated in PCa, influencing the Wnt/β-catenin cascade through diverse mechanisms. This article encompasses recent advances in our comprehension of specific ncRNAs that participate in the Wnt/β-catenin network, their functional roles, and clinical relevance in PCa. We investigate their use as screening and predictive indicators, and targets for treatment. Additionally, we delve into the interplay between Wnt/β-catenin and other signaling networks in PCa and the role of ncRNAs within this complex network. As we unveil the intricate regulatory functions of ncRNAs in the Wnt/β-catenin cascade in PCa, we gain valuable insights into the disease's pathogenesis. The implementation of these discoveries in practical applications holds promise for more precise diagnosis, prognosis, and targeted therapeutic approaches, ultimately enhancing the care of PCa patients. This comprehensive review underscores the evolving landscape of ncRNA research in PCa and the potential for innovative interventions in the battle against this formidable malignancy.

Prognostic microRNAs as biomarkers for prostate cancer

OBJECTIVE

Prostate cancer is the second largest cancer, most commonly diagnosed in men. Several studies reveal that miRNAs (microRNAs) are involved in various stages of prostate cancer. miRNAs are a family of small non-coding RNA species that have been implicated in the post-transcriptional regulation of gene expression. The present in silico study aims at identifying miRNA biomarkers that are significantly associated with the regulation of genes involved in prostate cancer.

METHODS

Dataset of miRNA and mRNA of prostate adenocarcinoma patients and controls was downloaded from The Cancer Genome Atlas (TCGA), and differential gene expression analysis was carried out. ROC and Kaplan-Meier survival analyses were performed on differentially expressed miRNAs. Pathway analysis was carried out for significant miRNAs, and protein-protein interaction of involved genes and miRNAs was examined.

RESULTS

A total of 185 miRNAs were differentially expressed between the patients and the control. ROC and Kaplan-Meier survival analysis showed that the two miRNAs hsa-mir-133b and hsa-mir-17-5p were found to be significantly associated with prostate cancer prognosis. HAS2 and EPHA10 gene targets of identified miRNA were also differentially expressed. A protein-protein interaction (PPI) network was constructed, and the HAS2 gene was found to be interacting with the epidermal growth factor receptor (EGFR).

CONCLUSION

This study highlights the potential of hsa-mir-133b and hsa-mir-17-5p miRNAs as biomarkers for the prognosis of prostate cancer. However, further experimental studies are required to validate this finding.

Vortioxetine Reverses Impairment of Visuospatial Memory and Cognitive Flexibility Induced by Degarelix as a Model of Androgen Deprivation Therapy in Rats

INTRODUCTION

Androgen deprivation therapy (ADT) is a mainstay treatment for prostate cancer, but many patients experience cognitive impairment in domains mediated by the medial prefrontal cortex (mPFC) and hippocampus. Prostate cancer typically occurs in older patients (>65 years). As age is often accompanied by cognitive decline, it may impact the efficacy of any treatment aimed at restoring cognitive impairment induced by ADT. Vortioxetine, a multimodal antidepressant that improves cognition in depression, has been shown to be efficacious in elderly patients. Therefore, vortioxetine may improve cognition in older patients who experience cognitive decline after ADT.

METHODS

Young (3 months) and middle-aged (13 months) rats were used to investigate the influence of age on treating ADT-induced cognitive decline. As our previous studies used surgical castration, we tested if vortioxetine would reverse cognitive deficits associated with more translationally relevant chemical castration using degarelix. Vortioxetine was given in the diet for 21 days. Animals underwent behavioral testing to assess visuospatial memory mediated by the hippocampus and cognitive flexibility mediated by the mPFC. We also investigated changes in afferent-evoked responses in these regions in middle-aged rats.

RESULTS

Degarelix induced impairments in both visuospatial memory and cognitive flexibility that were reversed by vortioxetine. Vortioxetine also rescued afferent-evoked responses in the mPFC and hippocampus. However, modest age-related reductions in baseline visuospatial memory limited our ability to detect further decreases induced by degarelix in middle-aged rats due to a floor effect.

CONCLUSION

These results suggest that vortioxetine may be a treatment option for older prostate cancer patients who experience cognitive decline after ADT.

Development and validation of two nomograms for predicting overall survival and Cancer-specific survival in prostate cancer patients with bone metastases: a population-based study

BACKGROUND

Prostate cancer with bone metastasis has significant invasiveness and markedly poorer prognosis. The purpose of this study is to establish two nomograms for predicting the overall survival (OS) and cancer-specific survival (CSS) of prostate cancer patients with bone metastasis.

METHODS

From January 2000 to December 2018, a total of 2683 prostate adenocarcinoma with bone metastasis patients were identified from the Surveillance, Epidemiology, and End Results Program (SEER) database. These patients were then divided into a training cohort and a validation cohort, with OS and CSS as the study endpoints. Correlation analyses were employed to assess the relationship between variables. Univariate and multivariate Cox analyses were utilized to ascertain the independent prognostic factors. Calibration curves and the area under the time-dependent receiver operating characteristic curve (time-dependent AUC) were employed to evaluate discrimination and calibration of the nomogram. DCA was applied to examine accuracy and clinical benefits. The clinical utility of the nomogram and the AJCC Stage System was compared using net reclassification improvement (NRI) and integrated discrimination improvement (IDI). Lastly, the risk stratifications of the nomogram and the AJCC Stage System were compared.

RESULTS

There was no collinearity among the variables that were screened. The results of multivariate Cox regression analysis showed that seven variables (age, surgery, brain metastasis, liver metastasis, lung metastasis, Gleason score, marital status) and six variables (age, surgery, lung metastasis, liver metastasis, Gleason score, marital status) were identified to establish the nomogram for OS and CSS, respectively. The calibration curves, time-dependent AUC curves, and DCA revealed that both nomograms had pleasant predictive power. Furthermore, NRI and IDI confirmed that the nomogram outperformed the AJCC Stage System.

CONCLUSION

Both nomograms had satisfactory accuracy and were validated to assist clinicians in evaluating the prognosis of PABM patients.

Concept Mapping with Black Men: Barriers to Prostate Cancer Screening and Solutions

A structured participatory approach of group concept mapping (GCM) was used to understand barriers and concerns around prostate cancer screening (PCS) among African American (AA) men. One-hundred thirteen AA men aged 35-70 years enrolled from one urban and three rural counties in Alabama. Eighty-five men brainstormed and generated 41 unique ideas in response to a single prompt. Participants (n = 70) sorted ideas into groups and rated them in terms of importance and feasibility to change opinions. Multi-dimensional scaling and cluster analysis were used to analyze the data. Participants (n=50) discussed visual concept maps during three focus-groups and recommended solutions to address key barriers. The mean age of respondents was 52 (±10), 50% were rural, 37% were college-educated, 56% with income <$44,500, and 22% with PROCASE Knowledge Index ≤5. Cluster analyses revealed eight clusters. Participants ranked barriers grouped under "fear of consequences of test," "lack of knowledge," and "costs/no insurance" as most important to improve PCS among AA men. The same three clusters along with "dislike for digital rectal exam (DRE)" were ranked as most difficult to change. No major differences were noted by urban/rural status. Solutions to address barriers included education at a younger age, alternate testing options and open discussion about DRE, and clear and precise messaging by peers and relatable role models. Our study identified specific barriers to PCS among AA with diverse sociodemographic backgrounds. Culturally sensitive interventions delivered by trained healthcare professionals, peers, and relatable role models, can potentially increase PCS among AA men.

Long-term Overall Survival after External Beam Radiotherapy for Localised Prostate Cancer

AIMS

Knowledge on survival probabilities is essential for determining optimal treatment strategies. We studied overall survival and associated prognostic factors in Dutch patients with localised prostate cancer (PCa) selected for external beam radiotherapy.

MATERIALS AND METHODS

For this single-centre retrospective cohort study, we identified all T1-T3 PCa patients (aged 55-80 years) in the radiotherapy planning database with a start date between January 2006 and December 2013, treated with 72-78 Gy in 2 Gy fractions to the prostate ± seminal vesicles (n = 1536). Long-term androgen deprivation therapy (ADT) was predominantly prescribed in the case of extracapsular disease (>T3). Overall survival was estimated using the Kaplan-Meier method. Prognostic factors were evaluated in Cox regression models for the intermediate-risk and high-risk groups.

RESULTS

The median follow-up was 12 years for patients who were alive. Ten-year survival rates were 79.0% for low-risk (n = 120), 59.9% for intermediate-risk (n = 430) and 56.8% for high-risk patients (n = 986). A higher age, higher comorbidity score, active smoking and Gleason score ≥8 had a statistically significant negative impact on overall survival at multivariable analysis. ADT was associated with superior overall survival in the high-risk group translating into overall survival rates similar to the intermediate-risk group.

CONCLUSIONS

Although PCa patients selected for external beam radiotherapy are typically in good health, their comorbidity score and smoking habits appeared to be dominant predictors for overall survival. Overall survival rates within the high-risk group varied, showing improved overall survival with ADT prescription and worse overall survival in the case of Gleason score ≥8.

Modifiable risk factors for subsequent lethal prostate cancer among men with an initially negative prostate biopsy

BACKGROUND

Previously suggested modifiable risk factors for prostate cancer could have resulted from detection bias because diagnosis requires a biopsy. We investigated modifiable risk factors for a subsequent cancer diagnosis among men with an initially negative prostate biopsy.

METHODS

In total, 10,396 participants of the Health Professionals Follow-up Study with an initial negative prostate biopsy after 1994 were followed for incident prostate cancer until 2017. Potential risk factors were based on previous studies in the general population. Outcomes included localised, advanced, and lethal prostate cancer.

RESULTS

With 1851 prostate cancer cases (168 lethal) diagnosed over 23 years of follow-up, the 20-year risk of any prostate cancer diagnosis was 18.5% (95% CI: 17.7-19.3). Higher BMI and lower alcohol intake tended to be associated with lower rates of localised disease. Coffee, lycopene intake and statin use tended to be associated with lower rates of lethal prostate cancer. Results for other risk factors were less precise but compatible with and of similar direction as for men in the overall cohort.

CONCLUSIONS

Risk factors for future prostate cancer among men with a negative biopsy were generally consistent with those for the general population, supporting their validity given reduced detection bias, and could be actionable, if confirmed.

Exploring the efficacy of multi-flavored feature extraction with radiomics and deep features for prostate cancer grading on mpMRI

BACKGROUND

The purpose of this study is to investigate the use of radiomics and deep features obtained from multiparametric magnetic resonance imaging (mpMRI) for grading prostate cancer. We propose a novel approach called multi-flavored feature extraction or tensor, which combines four mpMRI images using eight different fusion techniques to create 52 images or datasets for each patient. We evaluate the effectiveness of this approach in grading prostate cancer and compare it to traditional methods.

METHODS

We used the PROSTATEx-2 dataset consisting of 111 patients' images from T2W-transverse, T2W-sagittal, DWI, and ADC images. We used eight fusion techniques to merge T2W, DWI, and ADC images, namely Laplacian Pyramid, Ratio of the low-pass pyramid, Discrete Wavelet Transform, Dual-Tree Complex Wavelet Transform, Curvelet Transform, Wavelet Fusion, Weighted Fusion, and Principal Component Analysis. Prostate cancer images were manually segmented, and radiomics features were extracted using the Pyradiomics library in Python. We also used an Autoencoder for deep feature extraction. We used five different feature sets to train the classifiers: all radiomics features, all deep features, radiomics features linked with PCA, deep features linked with PCA, and a combination of radiomics and deep features. We processed the data, including balancing, standardization, PCA, correlation, and Least Absolute Shrinkage and Selection Operator (LASSO) regression. Finally, we used nine classifiers to classify different Gleason grades.

RESULTS

Our results show that the SVM classifier with deep features linked with PCA achieved the most promising results, with an AUC of 0.94 and a balanced accuracy of 0.79. Logistic regression performed best when using only the deep features, with an AUC of 0.93 and balanced accuracy of 0.76. Gaussian Naive Bayes had lower performance compared to other classifiers, while KNN achieved high performance using deep features linked with PCA. Random Forest performed well with the combination of deep features and radiomics features, achieving an AUC of 0.94 and balanced accuracy of 0.76. The Voting classifiers showed higher performance when using only the deep features, with Voting 2 achieving the highest performance, with an AUC of 0.95 and balanced accuracy of 0.78.

CONCLUSION

Our study concludes that the proposed multi-flavored feature extraction or tensor approach using radiomics and deep features can be an effective method for grading prostate cancer. Our findings suggest that deep features may be more effective than radiomics features alone in accurately classifying prostate cancer.

Biomarkers for Prostate Cancer: From Diagnosis to Treatment

Prostate cancer (PCa) is a widespread malignancy with global significance, which substantially affects cancer-related mortality. Its spectrum varies widely, from slow-progressing cases to aggressive or even lethal forms. Effective patient stratification into risk groups is crucial to therapeutic decisions and clinical trials. This review examines a wide range of diagnostic and prognostic biomarkers, several of which are integrated into clinical guidelines, such as the PHI, the 4K score, PCA3, Decipher, and Prolaris. It also explores the emergence of novel biomarkers supported by robust preclinical evidence, including urinary miRNAs and isoprostanes. Genetic alterations frequently identified in PCa, including BRCA1/BRCA2, ETS gene fusions, and AR changes, are also discussed, offering insights into risk assessment and precision treatment strategies. By evaluating the latest developments and applications of PCa biomarkers, this review contributes to an enhanced understanding of their role in disease management.

Comparing the role of 99m Tc-HYNIC-PSMA-11 and 99m Tc-MDP scintigraphy for the initial staging of intermediate to high-risk prostate cancer

BACKGROUND

Although bone scintigraphy and abdominopelvic computed tomography (CT)/MRI have been the mainstay of initial staging in the intermediate to high-risk prostate cancer (PC) patients, prostate-specific membrane antigen (PSMA) PET/CT imaging provides promising additional value in the initial N/M staging of these patients in recent years. 99m Tc-PSMA scan is a new alternative to PSMA PET tracers with little evidence regarding its diagnostic value in the initial staging of PC.

METHODS

This prospective study included 40 patients with newly diagnosed PC with initial intermediate or high-risk features [prostate-specific antigen (PSA) > 10 ng/dl, Gleason score ≥7 or stage cT2b and more]. All patients underwent both 99m Tc-methylene diphosphonate (MDP) bone scan and 99m Tc-HYNIC-PSMA-11 scan with maximum interval of 2 weeks. Abdominopelvic CT and MRI were also performed in this timeframe. Then, the results of these methods were compared with the final diagnosis data.

RESULTS

Among the 40 included patients, 28 patients had finally been diagnosed as localized PC and 12 patients showed lymph node or metastatic involvement. The sensitivity, specificity and accuracy of 99m Tc-HYNIC-PSMA-11 vs. 99m Tc-MDP were 83.3% vs. 50.0%, 100% vs. 82.1% and 95% vs. 72.5%, respectively. However, when combined with the results of abdominopelvic CT/MRI the sensitivity reached 100% for both and the specificity raised to 100% and 96.4% for 99m Tc-HYNIC-PSMA-11 and 99m Tc-MDP, respectively.

CONCLUSION

99m Tc-HYNIC-PSMA-11 performs well in the initial staging of intermediate to high-risk PC and especially in low source areas without PET/CT it can be used as the first-line method of metastatic evaluation instead of bone scintigraphy. However, the combination and correlation of cross-sectional imaging is essential to gain the optimal diagnostic value.

Recent advances and future perspectives in the therapeutics of prostate cancer

Prostate cancer (PC) is one of the most common cancers in males and the fifth leading reason of death. Age, ethnicity, family history, and genetic defects are major factors that determine the aggressiveness and lethality of PC. The African population is at the highest risk of developing high-grade PC. It can be challenging to distinguish between low-risk and high-risk patients due to the slow progression of PC. Prostate-specific antigen (PSA) is a revolutionary discovery for the identification of PC. However, it has led to an increase in over diagnosis and over treatment of PC in the past few decades. Even if modifications are made to the standard PSA testing, the specificity has not been found to be significant. Our understanding of PC genetics and proteomics has improved due to advances in different fields. New serum, urine, and tissue biomarkers, such as PC antigen 3 (PCA3), have led to various new diagnostic tests, such as the prostate health index, 4K score, and PCA3. These tests significantly reduce the number of unnecessary and repeat biopsies performed. Chemotherapy, radiotherapy, and prostatectomy are standard treatment options. However, newer novel hormone therapy drugs with a better response have been identified. Androgen deprivation and hormonal therapy are evolving as new and better options for managing hormone-sensitive and castration-resistant PC. This review aimed to highlight and discuss epidemiology, various risk factors, and developments in PC diagnosis and treatment regimens.

A comprehensive insight into the role of small nucleolar RNAs (snoRNAs) and SNHGs in human cancers

Long non-coding RNAs (lncRNAs), which comprise most non-coding RNAs (ncRNAs), have recently become a focus of cancer research. How many functional ncRNAs exist is still a matter of debate. Although insufficient evidence supports that most lncRNAs function as transcriptional by-products, it is widely known that an increasing number of lncRNAs play essential roles in cells. Small nucleolar RNAs (snoRNAs), 60-300 nucleotides in length, have been better studied than long non-coding RNAs (lncRNAs) and are predominantly present in the nucleolus. Most snoRNAs are encoded in introns of protein- and non-protein-coding genes called small nucleolar RNA host genes (SNHGs). In this article, we explore the biology and characteristics of SNHGs and their role in developing human malignancies. In addition, we provide an update on the ability of these snoRNAs to serve as prognostic and diagnostic variables in various forms of cancer.

Ginsenosides in cancer: Targeting cell cycle arrest and apoptosis

Despite the existence of extensive clinical research and novel therapeutic treatments, cancer remains undefeated and the significant cause of death worldwide. Cancer is a disease in which growth of cells goes out of control, being also able to invade other parts of the body. Cellular division is strictly controlled by multiple checkpoints like G1/S and G2/M which, when dysregulated, lead to uncontrollable cell division. The current remedies which are being utilized to combat cancer are monoclonal antibodies, chemotherapy, cryoablation, and bone marrow transplant etc. and these have also been greatly disheartening because of their serious adverse effects like hypotension, neuropathy, necrosis, leukemia relapse and many more. Bioactive compounds derived from natural products have marked the history of the development of novel drug therapies against cancer among which ginsenosides have no peer as they target several signaling pathways, which when abnormally regulated, lead to cancer. Substantial research has reported that ginsenosides like Rb1, Rb2, Rb3, Rc, Rd, Rg3, Rh2 etc. can prevent and treat cancer by targeting different pathways and molecules by induction of autophagy, neutralizing ROS, induction of cancerous cell death by controlling the p53 pathway, modulation of miRNAs by decreasing Smad2 expression, regulating Bcl-2 expression by normalizing the NF-Kb pathway, inhibition of inflammatory pathways by decreasing the production of cytokines like IL-8, causing cell cycle arrest by restricting cyclin E1 and CDC2, and induction of apoptosis during malignancy by decreasing β-catenin levels etc. In this review, we have analyzed the anti-cancer therapeutic potential of various ginsenoside compounds in order to consider their possible use in new strategies in the fight against cancer.