-
The Science of the Total Environment Jun 2024Prostate cancer (PC) is the second most frequent tumor in men worldwide; however, its etiology remains largely unknown, with the exception of age and family history. The...
BACKGROUND
Prostate cancer (PC) is the second most frequent tumor in men worldwide; however, its etiology remains largely unknown, with the exception of age and family history. The wide variability in incidence/mortality across countries suggests a certain role for environmental exposures that has not yet been clarified.
OBJECTIVE
To evaluate the association between risk of PC (by clinical profile) and residential proximity to pollutant industrial installations (by industrial groups, groups of carcinogens, and specific pollutants released), within the context of a Spanish population-based multicase-control study of incident cancer (MCC-Spain).
METHODS
This study included 1186 controls and 234 PC cases, frequency matched by age and province of residence. Distances from participants' residences to the 58 industries located in the study area were calculated and categorized into "near" (considering different limits between ≤1 km and ≤ 3 km) or "far" (>3 km). Odds ratios (ORs) and 95 % confidence intervals (95%CIs) were estimated using mixed and multinomial logistic regression models, adjusted for potential confounders and matching variables.
RESULTS
No excess risk was detected near the overall industries, with ORs ranging from 0.66 (≤2 km) to 1.11 (≤1 km). However, positive associations (OR; 95%CI) were found, by industrial group, near (≤3 km) industries of ceramic (2.54; 1.28-5.07), food/beverage (2.18; 1.32-3.62), and disposal/recycling of animal waste (2.67; 1.12-6.37); and, by specific pollutant, near plants releasing fluorine (4.65; 1.45-14.91 at ≤1.5 km) and chlorine (5.21; 1.56-17.35 at ≤1 km). In contrast, inverse associations were detected near industries releasing ammonia, methane, dioxins+furans, polycyclic aromatic hydrocarbons, trichloroethylene, and vanadium to air.
CONCLUSIONS
The results suggest no association between risk of PC and proximity to the overall industrial installations. However, some both positive and inverse associations were detected near certain industrial groups and industries emitting specific pollutants.
PubMed: 38944307
DOI: 10.1016/j.scitotenv.2024.174347 -
Cancer Jul 2024
Topics: Humans; Prostatic Neoplasms; Male; Androgen Antagonists; Antineoplastic Agents, Hormonal
PubMed: 38943470
DOI: 10.1002/cncr.35422 -
Nucleic Acids Research Jun 2024Classification of introns, which is crucial to understanding their evolution and splicing, has historically been binary and has resulted in the naming of major and minor...
Classification of introns, which is crucial to understanding their evolution and splicing, has historically been binary and has resulted in the naming of major and minor introns that are spliced by their namesake spliceosome. However, a broad range of intron consensus sequences exist, leading us to here reclassify introns as minor, minor-like, hybrid, major-like, major and non-canonical introns in 263 species across six eukaryotic supergroups. Through intron orthology analysis, we discovered that minor-like introns are a transitory node for intron conversion across evolution. Despite close resemblance of their consensus sequences to minor introns, these introns possess an AG dinucleotide at the -1 and -2 position of the 5' splice site, a salient feature of major introns. Through combined analysis of CoLa-seq, CLIP-seq for major and minor spliceosome components, and RNAseq from samples in which the minor spliceosome is inhibited we found that minor-like introns are also an intermediate class from a splicing mechanism perspective. Importantly, this analysis has provided insight into the sequence elements that have evolved to make minor-like introns amenable to recognition by both minor and major spliceosome components. We hope that this revised intron classification provides a new framework to study intron evolution and splicing.
PubMed: 38943346
DOI: 10.1093/nar/gkae550 -
European Journal of Clinical... Jun 2024Numerous recent studies have explored the association between metabolic dysfunction-associated steatotic liver disease (MASLD) and the risk of various extrahepatic... (Review)
Review
BACKGROUND
Numerous recent studies have explored the association between metabolic dysfunction-associated steatotic liver disease (MASLD) and the risk of various extrahepatic cancers. However, the conclusions were inconclusive. The aim of this study was to clarify this relationship by conducting a robust meta-analysis.
METHODS
Systematic searches were conducted on PubMed, Embase and Web of Science databases to identify relevant cohort studies published prior to February 2024. Hazard ratios (HRs) and their corresponding 95% confidence intervals (95% CIs) were combined using a random-effects model in this meta-analysis.
RESULTS
Eighteen cohort studies (approximately 16.7 million participants) were finally included in this meta-analysis. MASLD was linked to a higher risk of extrahepatic cancers, such as gastric (n = 10, HR = 1.47, 95% CI: 1.07-2.01), colorectal (n = 13, HR = 1.33, 95% CI: 1.16-1.53), pancreatic (n = 8, HR = 1.41, 95% CI: 1.11-1.79), biliary tract (n = 5, HR = 1.27, 95% CI: 1.18-1.37), thyroid (n = 6, HR = 1.46, 95% CI: 1.02-2.09), urinary system (n = 10, HR = 1.45, 95% CI: 1.25-1.69), breast (n = 11, HR = 1.17, 95% CI: 1.08-1.26) and female genital organ cancers (n = 10, HR = 1.36, 95% CI: 1.11-1.66). However, there was no statistically significant association between MASLD and the risk of head and neck (n = 6, HR = 1.03, 95% CI: 99-1.07), oesophageal (n = 9, HR = 1.26, 95% CI: 0.86-1.86), lung (n = 9, HR = 1.01, 95% CI: 0.92-1.10), prostate (n = 9, HR = 1.06, 95% CI: 0.94-1.19) or small intestine cancer (n = 2, HR = 1.75, 95% CI: 1.00-3.06).
CONCLUSIONS
This latest large-scale meta-analysis indicated that MASLD was associated with an increased risk of various extrahepatic cancers, such as gastric, colorectal, pancreatic, biliary duct, thyroid, urinary system, breast, skin and female genital cancers. Further research is needed to investigate the mechanisms underlying these associations.
PubMed: 38943276
DOI: 10.1111/eci.14276 -
BMC Public Health Jun 2024Many people struggle with the choice in a series of processes, from prostate cancer (PCa) diagnosis to treatment. We investigated the degree of regret after the prostate...
BACKGROUND
Many people struggle with the choice in a series of processes, from prostate cancer (PCa) diagnosis to treatment. We investigated the degree of regret after the prostate biopsy (PBx) and relevant factors in patients recommended for biopsy for suspected PCa.
METHODS
From 06/2020 to 05/2022, 198 people who performed PBx at three institutions were enrolled and analyzed through a questionnaire before and after biopsy. Before the biopsy, a questionnaire was conducted to evaluate the sociodemographic information, anxiety scale, and health literacy, and after PBx, another questionnaire was conducted to evaluate the decision regret scale. For patients diagnosed as PCa after biopsy, a questionnaire was conducted when additional tests were performed at PCa staging work-up.
RESULTS
190 patients answered the questionnaire before and after PBx. The mean age was 66.2 ± 7.8 years. Overall, 5.5% of men regretted biopsy, but there was no significant difference between groups according to the PCa presence. Multivariate analysis, to identify predictors for regret, revealed that the case when physicians did not properly explain what the prostate-specific antigen (PSA) test was like and what PSA elevation means (OR 20.57, [95% CI 2.45-172.70], p = 0.005), low media literacy (OR 10.01, [95% CI 1.09-92.29], p = 0.042), and when nobody to rely on (OR 8.49, [95% CI 1.66-43.34], p = 0.010) were significantly related.
CONCLUSIONS
Overall regret related to PBx was low. Decision regret was more significantly related to media literacy rather than to educational level. For patients with relatively low media literacy and fewer people to rely on in case of serious diseases, more careful attention and counseling on PBx, including a well-informed explanation on PSA test, is helpful.
Topics: Humans; Male; Prostatic Neoplasms; Aged; Republic of Korea; Middle Aged; Emotions; Biopsy; Surveys and Questionnaires; Decision Making; Cohort Studies; Prostate
PubMed: 38943112
DOI: 10.1186/s12889-024-19179-1 -
Discover Oncology Jun 2024Placenta-specific protein 1 (PLAC-1) is a gene primarily expressed in the placenta and the testis. Interestingly, it is also found to be expressed in many solid tumors,...
Placenta-specific protein 1 (PLAC-1) is a gene primarily expressed in the placenta and the testis. Interestingly, it is also found to be expressed in many solid tumors, and it is involved in malignant cell features. However, no evidence has been reported regarding the relationship between PLAC-1 and cancer stem cells (CSCs). In the current research, we explored the expression of the PLAC-1 molecule in prostate cancer stem cells (PCSCs) derived from the human PC-3 cell line. The enrichment of PCSCs was achieved using a three-dimensional cell culture technique known as the sphere-formation assay. To confirm the identity of PCSCs, we examined the expression of genes associated with stemness and pluripotency, such as SOX2, OCT4, Nanog, C-Myc, and KLF-4, as well as stem cell differentiation molecules like CD44 and CD133. These evaluations were conducted in both the PCSCs and the original tumor cells (parental cells) using real-time PCR and flow cytometry. Subsequently, we assessed the expression of the PLAC-1 molecule in both enriched cells and parental tumor cells at the gene and protein levels using the same techniques. The tumor cells from the PC-3 cell line formed spheroids with CSC characteristics in a non-adherent medium. The expression of SOX2, OCT4, Nanog, and C-Myc genes (p < 0.01), and the molecules CD44 and CD133 (p < 0.05) were significantly elevated in PCSCs compared to the parental cells. The expression of the PLAC-1 molecule in PCSCs showed a significant increase compared to the parental cells at both gene (p < 0.01) and protein (p < 0.001) levels. In conclusion, it was indicated for the first time that PLAC-1 is up-regulated in PCSCs derived from human PC-3 cell line. This study may propose PLAC-1 as a potential target in targeted therapies, which should be confirmed through further studies.
PubMed: 38943028
DOI: 10.1007/s12672-024-01121-x -
Scientific Reports Jun 2024Cancer remains a formidable global health challenge, with metastasis being a key contributor to its lethality. Abundant high molecular mass hyaluronic acid, a major...
Cancer remains a formidable global health challenge, with metastasis being a key contributor to its lethality. Abundant high molecular mass hyaluronic acid, a major non-protein component of extracellular matrix, protects naked mole rats from cancer and reduces cancer incidence in mice. Hyaluronidase plays a critical role in degrading hyaluronic acid and is frequently overexpressed in metastatic cancer. Here we investigated the potential of targeting hyaluronidases to reduce metastasis. A high throughput screen identified delphinidin, a natural plant compound found in fruits and vegetables, as a potent hyaluronidase inhibitor. Delphinidin-mediated inhibition of hyaluronidase activity led to an increase in high molecular weight hyaluronic acid in cell culture and in mouse tissues, and reduced migration and invasion behavior of breast, prostate, and melanoma cancer cells. Moreover, delphinidin treatment suppressed melanoma metastasis in mice. Our study provides a proof of principle that inhibition of hyaluronidase activity suppresses cancer cell migration, invasion and metastasis. Furthermore, we identified a natural compound delphinidin as a potential anticancer therapeutic. Thus, we have identified a path for clinical translation of the cancer resistance mechanism identified in the naked mole rat.
Topics: Animals; Female; Humans; Male; Mice; Anthocyanins; Cell Line, Tumor; Cell Movement; Enzyme Inhibitors; Hyaluronic Acid; Hyaluronoglucosaminidase; Neoplasm Metastasis; Mole Rats
PubMed: 38942920
DOI: 10.1038/s41598-024-64924-6 -
Scientific Reports Jun 2024Prostate cancer (PCa) is the most common cancer among men in the United States and the leading cause of cancer-related death. The Solute Carrier Family 14 Member 1...
Prostate cancer (PCa) is the most common cancer among men in the United States and the leading cause of cancer-related death. The Solute Carrier Family 14 Member 1 (SLC14A1) is a member of urea transporters which are important for the regulation of urine concentration. However, the physiological significance of SLC14A1 in PCa still remains unclear. In the present study, via bioinformatics analysis and experiments, we found that expression of SLC14A1 is significantly decreased in PCa progression, which could be attributed to hypermethylation on SLC14A1 promoter region. Moreover, its low expression and hypermethylation on SLC14A1 promoter are closely related to the poor prognosis of PCa patients. On the other hand, overexpression of SLC14A1 inhibited cell proliferation and metastasis while its overexpression also suppressed CDK1/CCNB1 pathway and mTOR/MMP-9 signaling pathway. Additionally, SLC14A1 expression is enriched in prostate basal-type cells. In summary, our study indicates that its low expression level and promoter hypermethylation of SLC14A1 may represent novel indicators for PCa progression and prognosis, and SLC14A1 could inhibit the progression of PCa.
Topics: Humans; Male; Prostatic Neoplasms; TOR Serine-Threonine Kinases; Gene Expression Regulation, Neoplastic; Disease Progression; Signal Transduction; Cell Line, Tumor; CDC2 Protein Kinase; DNA Methylation; Promoter Regions, Genetic; Cell Proliferation; Down-Regulation; Prognosis; Cell Movement
PubMed: 38942821
DOI: 10.1038/s41598-024-66020-1 -
Scientific Reports Jun 2024Prostate cancer is one of the most common and fatal diseases among men, and its early diagnosis can have a significant impact on the treatment process and prevent...
Prostate cancer is one of the most common and fatal diseases among men, and its early diagnosis can have a significant impact on the treatment process and prevent mortality. Since it does not have apparent clinical symptoms in the early stages, it is difficult to diagnose. In addition, the disagreement of experts in the analysis of magnetic resonance images is also a significant challenge. In recent years, various research has shown that deep learning, especially convolutional neural networks, has appeared successfully in machine vision (especially in medical image analysis). In this research, a deep learning approach was used on multi-parameter magnetic resonance images, and the synergistic effect of clinical and pathological data on the accuracy of the model was investigated. The data were collected from Trita Hospital in Tehran, which included 343 patients (data augmentation and learning transfer methods were used during the process). In the designed model, four different types of images are analyzed with four separate ResNet50 deep convolutional networks, and their extracted features are transferred to a fully connected neural network and combined with clinical and pathological features. In the model without clinical and pathological data, the maximum accuracy reached 88%, but by adding these data, the accuracy increased to 96%, which shows the significant impact of clinical and pathological data on the accuracy of diagnosis.
Topics: Humans; Deep Learning; Prostatic Neoplasms; Male; Middle Aged; Aged; Neural Networks, Computer; Magnetic Resonance Imaging; Multiparametric Magnetic Resonance Imaging; Image Processing, Computer-Assisted; Image Interpretation, Computer-Assisted; Iran
PubMed: 38942817
DOI: 10.1038/s41598-024-65354-0 -
Practical Radiation Oncology 2024
Erratum to: Baty M, Pasquier D, Gnep K, et al. Achievable Dosimetric Constraints in Stereotactic Reirradiation for Recurrent Prostate Cancer. Pract Radiat Oncol. 2023;13:e515-e529.
PubMed: 38942574
DOI: 10.1016/j.prro.2024.03.003