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Mitura P, Paja W, Klebowski B, Wronecki L, Godzisz M, Sudoł D, Bar K, Depciuch J. FTIR Markers of Prostate Cancer Tissue and Their Correlation With Medical Parameters of Tumor Aggressiveness. JOURNAL OF BIOPHOTONICS 2025:e70046. [PMID: 40258369 DOI: 10.1002/jbio.70046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/20/2024] [Revised: 03/28/2025] [Accepted: 04/09/2025] [Indexed: 04/23/2025]
Abstract
Fourier transform infrared spectroscopy (FTIR) was used to investigate chemical differences in prostate tissue caused by prostate cancer and to correlate these data with medical. In FTIR spectra of prostate tissues, a higher amount of peaks originating from phospholipids, amide, and lipid vibrations was detected in comparison with FTIR spectra of control prostate tissues. Principal Component Analysis (PCA) showed that it is possible to differentiate two types of tissues using FTIR range corresponding to (i) phospholipids and amides and (ii) lipids. Machine learning methods showed that values of area under the curve (AUC), accuracy, F1, precision, and recall were higher for the fingerprint range than for the second one. However, values of all these parameters in both analyzed ranges were higher than 0.95. Moreover, the proposed FTIR marker of prostate cancer (wavenumber at 1685 cm-1) correlated with bGleason, pGleason, and ISUP, which suggested that FTIR spectroscopy reflected the medical characterization of prostate cancer.
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Affiliation(s)
- Przemysław Mitura
- Department of Urology and Oncological Urology, Medical University of Lublin, Lublin, Poland
| | - Wiesław Paja
- Department of Artificial Intelligence, Institute of Computer Science, University of Rzeszow, Rzeszów, Poland
| | - Bartosz Klebowski
- Institute of Nuclear Physics, Polish Academy of Sciences, Kraków, Poland
| | - Lech Wronecki
- Chair and Department of Clinical Pathomorphology, Medical University of Lublin, Lublin, Poland
| | - Michał Godzisz
- Department of Urology and Oncological Urology, Medical University of Lublin, Lublin, Poland
| | - Damian Sudoł
- Department of Urology and Oncological Urology, Medical University of Lublin, Lublin, Poland
| | - Krzysztof Bar
- Department of Urology and Oncological Urology, Medical University of Lublin, Lublin, Poland
| | - Joanna Depciuch
- Institute of Nuclear Physics, Polish Academy of Sciences, Kraków, Poland
- Department of Biochemistry and Molecular Biology, Medical University of Lublin, Lublin, Poland
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Mitura P, Paja W, Klebowski B, Płaza P, Kuliniec I, Bar K, Depciuch J. Fourier transform InfraRed spectra analyzed by multivariate and machine learning methods in determination spectroscopy marker of prostate cancer in dried serum. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2025; 327:125305. [PMID: 39490177 DOI: 10.1016/j.saa.2024.125305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/26/2024] [Revised: 10/15/2024] [Accepted: 10/17/2024] [Indexed: 11/05/2024]
Abstract
Prostate cancer represents the second most prevalent form of cancer in males globally. In the diagnosis of prostate cancer, the most commonly utilised biomarker is prostate-specific antigen (PSA). It is unfortunate that approximately 25 % of men with elevated PSA levels do not have cancer, and that approximately 20 % of patients with prostate cancer have normal serum PSA levels. Accordingly, a more sensitive methodology must still be identified. It is imperative that new diagnostic methods should be non-invasive, cost-effective, rapid, and highly sensitive. Fourier transform infrared spectroscopy (FTIR) is a technique that fulfils all of the aforementioned criteria. Consequently, the present study used FTIR to assess dried serum samples obtained from a cohort of prostate cancer patients (n = 53) and a control group of healthy individuals (n = 40). Furthermore, this study proposes FTIR markers of prostate cancer obtained from serum. For this purpose, FTIR spectra of dried serum were measured and analysed using statistical, chemometric and machine learning (ML) algorithms including decision trees C5.0, Random Forest (RF), k-Nearest Neighbours (kNN) and Support Vector Machine (SVM). The FTIR spectra of serum collected from patients suffering from prostate cancer exhibited a reduced absorbance values of peaks derived from phospholipids, amides, and lipids. However, these differences were not statistically significant. Furthermore, principal component analysis (PCA) demonstrated that it is challenging to distinguish serum samples from healthy and non-healthy patients. The ML algorithms demonstrated that FTIR was capable of differentiating serum collected from both analysed groups of patients with high accuracy (values between 0.74 and 0.93 for the range from 800 cm-1 to 1800 cm-1 and around 0.70 and 1 for the range from 2800 cm-1 to 3000 cm-1), depending on the ML algorithms used. The results demonstrated that the peaks at 1637 cm-1 and 2851 cm-1 could serve as a FTIR marker for prostate cancer in serum samples. Furthermore, the correlation test indicated a clear correlation between these two wavenumbers and four of the five clinical parameters associated with prostate cancer. However, the relatively small number of samples collected only from patients over the age of 60 indicated that the results should be further investigated using a larger number of serum samples collected from a mean age range. In conclusion, this study demonstrated the potential of FTIR for the detection of prostate cancer in serum samples, highlighting the presence of distinctive spectroscopic markers associated with the analysed cancer type.
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Affiliation(s)
- Przemysław Mitura
- Department of Urology and Oncological Urology, Medical University of Lublin, Jaczewskiego 8, 20-954 Lublin, Poland.
| | - Wiesław Paja
- Department of Artificial Intelligence, Institute of Computer Science, University of Rzeszow, Pigonia 1, 35-310 Rzeszów, Poland
| | - Bartosz Klebowski
- Institute of Nuclear Physics, Polish Academy of Sciences, Walerego Eljasza - Radzikowskiego 152, 31-342 Kraków, Poland
| | - Paweł Płaza
- Department of Urology and Oncological Urology, Medical University of Lublin, Jaczewskiego 8, 20-954 Lublin, Poland
| | - Iga Kuliniec
- Department of Urology and Oncological Urology, Medical University of Lublin, Jaczewskiego 8, 20-954 Lublin, Poland
| | - Krzyszof Bar
- Department of Urology and Oncological Urology, Medical University of Lublin, Jaczewskiego 8, 20-954 Lublin, Poland
| | - Joanna Depciuch
- Institute of Nuclear Physics, Polish Academy of Sciences, Walerego Eljasza - Radzikowskiego 152, 31-342 Kraków, Poland; Department of Biochemistry and Molecular Biology, Medical University of Lublin, Chodzki 1, 20-093 Lublin, Poland.
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Moore L, Malde S, Dasgupta P, Sahai A, Raison N. Inheritance patterns of lower urinary tract symptoms in adults: a systematic review. BJU Int 2025; 135:192-203. [PMID: 39187949 PMCID: PMC11745988 DOI: 10.1111/bju.16517] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/28/2024]
Abstract
OBJECTIVE To compile and evaluate the heritability and inheritance patterns of lower urinary tract symptoms (LUTS) in adult cohorts. METHODS Searches of five databases (PubMed, Embase, APA PsycInfo, Global Health, and OVID Medline) commenced on 6 July 2024, resulting in 736 articles retrieved after deduplication. Studies evaluating heritability patterns, gene frequencies, and familial aggregation of symptoms were included for review. Screening and predefined eligibility criteria produced 34 studies for final review. A descriptive analysis of synthesised data was performed, adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The Cochrane Risk of Bias in Non-Randomised Studies of Interventions (ROBINS-I) tool and the Johanna Briggs Institute checklist were used to evaluate these studies. RESULTS Ten of the 34 studies (29%) described general LUTS, 14 (41%) described symptoms due to benign prostatic enlargement (BPE), nine (26%) described urinary incontinence (UI; urge UI [UUI], stress UI [SUI] and mixed UI [MUI]), four (12%) described nocturia alone, two (6%) described overactive bladder (OAB), and four (13%) described other specific symptoms (frequency, postvoid residual urine volume). BPE symptoms, UI (MUI and UUI), nocturia alone, and frequency alone were associated with genetic predisposition, whilst OAB and SUI had more modest inheritance. CONCLUSION The pathogenetic and pharmacological mechanisms fundamental to LUTS manifestation are highly heterogeneous. Further work is required to evaluate the inheritance patterns of LUTS more extensively.
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Affiliation(s)
- Lorcan Moore
- Guy's King's and St Thomas' School of Medical EducationKing's College LondonLondonUK
| | - Sachin Malde
- Department of UrologyGuy's and St Thomas' HospitalLondonUK
| | - Prokar Dasgupta
- Guy's King's and St Thomas' School of Medical EducationKing's College LondonLondonUK
- Department of UrologyGuy's and St Thomas' HospitalLondonUK
| | - Arun Sahai
- Department of UrologyGuy's and St Thomas' HospitalLondonUK
| | - Nicholas Raison
- Guy's King's and St Thomas' School of Medical EducationKing's College LondonLondonUK
- Department of UrologyKing's College HospitalLondonUK
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Wang L, Chen SY, Yang JW, Wang KY, Li KP, Wan S, Li XR, Yang L. A cross-tissue transcriptome-wide association study identifies new susceptibility genes for benign prostatic hyperplasia. Sci Rep 2025; 15:3186. [PMID: 39863741 PMCID: PMC11762703 DOI: 10.1038/s41598-025-87651-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2024] [Accepted: 01/21/2025] [Indexed: 01/27/2025] Open
Abstract
Benign prostatic hyperplasia (BPH) is a prevalent urinary system disorder. Despite evidence of a significant genetic component from previous studies, the specific pathogenic genes and biological mechanisms are still largely unknown. The study utilized the FinnGen R10 dataset, encompassing 177,901 individuals (36,601 cases and 141,300 controls), and the GTEx v8 EQTLs files to conduct single-tissue and cross-tissue transcriptome-wide association studies (TWAS). FUSION method was utilized to validate the findings in specific tissues. Gene Analysis and Multi-marker Analysis of Genomic Annotation (MAGMA) were used to identify potential susceptibility genes. The intersection genes of the above results were analyzed by Mendelian randomization (MR), summary data-based MR (SMR) and colocalization studies. Fine-mapping of causal gene sets (FOCUS) software was employed to accurately locate risk genes. Gene Expression Omnibus (GEO) analysis explores the differential expression of genes. Finally, The GeneMANIA tool was utilized to further understand the functional roles of these susceptibility genes. The cross-tissue TWAS analysis revealed 28 genes associated with BPH susceptibility. Single-tissue TWAS and MAGMA further refined eight genes, and subsequent MR, SMR, FOCUS and colocalization analysis pinpointed INO80B as the key gene. The differential expression of this result was verified by GEO. INO80B may help prevent excessive prostatic cell proliferation by regulating cell cycle-related gene expression. Our research identified the INO80B gene, whose predicted expression is associated with BPH risk and hence provided a new insight into the genetic basis of this disease. However, further functional studies are necessary to elucidate the potential biological activity of these significant signals.
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Affiliation(s)
- Li Wang
- Department of Urology, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, 730030, People's Republic of China
- Cuiying Biomedical Research Center, Lanzhou University Second Hospital, Lanzhou, People's Republic of China
| | - Si-Yu Chen
- Department of Urology, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, 730030, People's Republic of China
- Cuiying Biomedical Research Center, Lanzhou University Second Hospital, Lanzhou, People's Republic of China
| | - Jian-Wei Yang
- Department of Urology, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, 730030, People's Republic of China
- Cuiying Biomedical Research Center, Lanzhou University Second Hospital, Lanzhou, People's Republic of China
| | - Kang-Yu Wang
- Department of Urology, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, 730030, People's Republic of China
- Cuiying Biomedical Research Center, Lanzhou University Second Hospital, Lanzhou, People's Republic of China
| | - Kun-Peng Li
- Department of Urology, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, 730030, People's Republic of China
- Cuiying Biomedical Research Center, Lanzhou University Second Hospital, Lanzhou, People's Republic of China
| | - Shun Wan
- Department of Urology, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, 730030, People's Republic of China
- Cuiying Biomedical Research Center, Lanzhou University Second Hospital, Lanzhou, People's Republic of China
| | - Xiao-Ran Li
- Department of Urology, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, 730030, People's Republic of China.
- Cuiying Biomedical Research Center, Lanzhou University Second Hospital, Lanzhou, People's Republic of China.
| | - Li Yang
- Department of Urology, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, 730030, People's Republic of China.
- Cuiying Biomedical Research Center, Lanzhou University Second Hospital, Lanzhou, People's Republic of China.
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Hennenberg M, Hu S, Tamalunas A, Stief CG. Genetic Predisposition to Benign Prostatic Hyperplasia: Where Do We Stand? EUR UROL SUPPL 2024; 70:154-157. [PMID: 39554302 PMCID: PMC11563937 DOI: 10.1016/j.euros.2024.10.012] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/11/2024] [Indexed: 11/19/2024] Open
Abstract
Background and objective Genetic predisposition is a factor in 40-70% of cases of benign prostatic hyperplasia (BPH) and voiding symptoms. However, informal reviews summarizing genes and variants imparting genetic disposition to BPH are not yet available. Methods We conducted an informal narrative review of genes and variants associated with BPH or voiding symptoms in candidate gene studies, genome-wide association studies (GWAS), and Mendelian randomization studies. A literature search of PubMed was performed using the terms "BPH heritability", "LUTS heritability", "BPH risk variant", "LUTS genetic risk", "GWAS BPH", and "genome-wide BPH". Key findings and limitations Candidate gene studies focused on variants related to the vitamin D receptor, steroid metabolism, detoxification, inflammation, cytokines, and growth factors, which were previously found to be associated with prostate cancer. Despite overall limited conclusiveness of candidate gene approaches, some recent studies point to population-dependent contributions of single variants to genetic BPH predisposition. Four GWAS and two Mendelian randomization studies for BPH identified correlation of BPH and voiding symptoms with variants related to testosterone, prostate-specific antigen, progesterone, transcription factors, the cell cycle, neuronal organization, and thyroid-stimulating hormone. Conclusions and clinical implications The drug targetability of most of the genes identified in the BPH setting is precluded by predictable unbalanced side effects, low efficacy, unknown organ specificity, and a lack of characterization in the prostate. Meta-analyses of GWAS are not yet available for BPH. Unless calculated using quantitative approaches, specific contributions of the risk variants identified to the overall risk of BPH remain uncertain. Patient summary While age is a risk factor for benign enlargement of the prostate in all affected patients, genetic factors may be involved in 39-72% of patients. Research has identified a number of possible risk genes, but is still at a very early stage. It is unlikely that drugs could be used to target these genes because of expected side effects that would be tolerated for cancer treatment, but not for benign diseases, or low efficacy in previous clinical trials.
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Affiliation(s)
- Martin Hennenberg
- Department of Urology, LMU University Hospital, LMU Munich, Munich, Germany
| | - Sheng Hu
- Department of Urology, LMU University Hospital, LMU Munich, Munich, Germany
| | | | - Christian G. Stief
- Department of Urology, LMU University Hospital, LMU Munich, Munich, Germany
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Tang Z, Li S, Zeng M, Zeng L, Tang Z. The association between systemic immune-inflammation index and prostate-specific antigen: Results from NHANES 2003-2010. PLoS One 2024; 19:e0313080. [PMID: 39570947 PMCID: PMC11581285 DOI: 10.1371/journal.pone.0313080] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2024] [Accepted: 10/17/2024] [Indexed: 11/24/2024] Open
Abstract
PURPOSE Current research has not extensively explored the correlation between Systemic Inflammatory Index (SII) and prostate-specific antibody (PSA) levels. This study aimed to investigate the relationship between the SII and PSA levels in American males aged > 40 years without prostate cancer. METHODS Data were obtained from the 2003-2010 National Health and Nutrition Examination Survey (NHANES). Patients without complete SII or PSA data were excluded. Multiple linear regression models were used to investigate the possibility of a linear association between the SII and PSA levels. Fitted smoothed curves and threshold effect analyses were used to characterize the nonlinear relationships. RESULTS The study included 5982 male participants over the age of 40 years from the United States. The average SII (mean ± standard deviation) was 562.78 ± 355.60. The mean value of PSA was 1.85 ± 3.24. The results showed that SII exhibited a positive correlation with PSA (β = 0.0005, 95% CI: (0.0002, 0.0007)), and an interaction test indicated that the effects of age, body mass index, hypertension, and diabetes were not significant for this positive correlation between SII and PSA (all P > 0.05). We discovered an inverted U-shaped connection between the SII and PSA with a turning point (K) of 1168.18 by using a two-segment linear regression model. To the left of the turning point, there was a positive connection between SII and PSA (β = 0.0009,95% CI: (0.0006, 0.0012); P < 0.0001). CONCLUSION In the population of men over 40 years old without prostate cancer, SII and PSA exhibited a non-linear relationship. Specifically, there was a positive correlation between SII and PSA levels when the SII value was < 1168.18.
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Affiliation(s)
- Zhongqiu Tang
- Department of Oncology, The Central Hospital of Yongzhou, Yongzhou, Hu Nan, China
| | - Shaojie Li
- Department of Neurosurgery, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China
| | - Mengjun Zeng
- Department of Oncology, The Central Hospital of Yongzhou, Yongzhou, Hu Nan, China
| | - Lu Zeng
- Department of Oncology, The Central Hospital of Yongzhou, Yongzhou, Hu Nan, China
| | - Zhaohui Tang
- Department of Oncology, The Central Hospital of Yongzhou, Yongzhou, Hu Nan, China
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Yin W, Song B, Yu C, Jiang J, Yan Z, Xie C. Association of biological aging with prostate cancer: insights from the National Health and Nutrition Examination Survey. Aging Clin Exp Res 2024; 36:209. [PMID: 39446214 PMCID: PMC11502538 DOI: 10.1007/s40520-024-02861-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2024] [Accepted: 10/02/2024] [Indexed: 10/25/2024]
Abstract
The link between biological aging and prostate cancer (PCa) risk, particularly as indicated by elevated prostate-specific antigen (PSA) levels, remains uncertain. This study utilized data from the National Health and Nutrition Examination Survey (2001-2010) to explore this association. Biological age was assessed using Klemera-Doubal method age (KDMAge) and phenotypic age (PhenoAge). PCa was identified through self-reported diagnoses, and highly probable PCa was determined by PSA levels. We analyzed the prevalence of PCa and PSA-defined highly probable PCa across quartiles of biological age measures using weighted chi-square and linear trend tests. Associations were evaluated using weighted multiple logistic regression models. Among 7,209 and 6,682 males analyzed, the overall weighted prevalence of PCa was 2.86%, increasing to 9.60% in those aged 65 and above. A significant rise in PCa prevalence was observed with higher quartiles of KDMAge or PhenoAge (P for trend < 0.001), particularly in those under 65. In this younger group, higher PhenoAge acceleration quartiles were linked to increased PCa prevalence and higher risk of PCa (OR = 1.50, P = 0.015) as well as highly probable PCa in those without a diagnosis (OR = 1.28, P = 0.031). These findings suggest that accelerated biological aging is associated with an increased risk of PCa and may indicate early risk as signaled by PSA levels, even in those without a PCa diagnosis.
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Affiliation(s)
- Weiqi Yin
- Department of Urology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China
- Ningbo Clinical Research Center for Urological Disease, Ningbo, Zhejiang, China
| | - Baiyang Song
- Department of Urology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China
| | - Chengling Yu
- Department of Urology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China
| | - Junhui Jiang
- Department of Urology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China
- Ningbo Clinical Research Center for Urological Disease, Ningbo, Zhejiang, China
- Zhejiang Engineering Research Center of Innovative Technologies and Diagnostic and Therapeutic Equipment for Urinary System Diseases, Ningbo, Zhejiang, China
| | - Zejun Yan
- Department of Urology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China.
- Ningbo Clinical Research Center for Urological Disease, Ningbo, Zhejiang, China.
- Zhejiang Engineering Research Center of Innovative Technologies and Diagnostic and Therapeutic Equipment for Urinary System Diseases, Ningbo, Zhejiang, China.
| | - Chengxin Xie
- Department of Orthopedics, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Taizhou, Zhejiang, China.
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Zole E, Baumanis E, Freimane L, Dāle R, Leiše A, Lietuvietis V, Ranka R. Changes in TP53 Gene, Telomere Length, and Mitochondrial DNA in Benign Prostatic Hyperplasia Patients. Biomedicines 2024; 12:2349. [PMID: 39457663 PMCID: PMC11505421 DOI: 10.3390/biomedicines12102349] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2024] [Revised: 10/08/2024] [Accepted: 10/09/2024] [Indexed: 10/28/2024] Open
Abstract
BACKGROUND Benign prostatic hyperplasia (BPH) is a growing issue due to an ageing population. Our study investigated the possible associations between BPH and ageing hallmarks, including the telomere length (TL) and mitochondrial genome copy number (mtDNA CN), along with genetic variations in the TP53 gene and mtDNA. METHODS Prostate tissue samples were obtained from 32 patients with BPH, together with 30 blood samples. As a healthy control group, age-matching blood DNA samples were used. For the comparison of mtDNA sequence data, 50 DNA samples of the general Latvian population were used. The full mtDNA genome was analyzed by using Next-Generation Sequencing (NGS), the TP53 gene by Sanger sequencing, and the mtDNA copy number (mtDNA CN) and telomere length (TL) byqPCR assay. RESULTS The results showed that in BPH patients, telomeres in the prostate tissue were significantly longer than in blood cells, while the TL in blood cells of the healthy controls was the shortest. Also, the mtDNA amount in the prostate tissue of BPH patients was significantly greater in comparison with blood cells, and controls had the smallest mtDNA CN. We did not find any mutations in the TP53 gene that could be linked to BPH; however, in mtDNA, we found several unique mutations and heteroplasmic changes, as well as genetic changes that have been previously associated with prostate cancer. CONCLUSIONS In conclusion, prolonged telomeres and changes in the mtDNA amount might be involved in the molecular mechanisms of BPH. Some of the heteroplasmic or homoplasmic mtDNA variants might also contribute to the development of BPH. Additional studies are needed to substantiate these findings.
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Affiliation(s)
- Egija Zole
- Latvian Biomedical Research and Study Centre, Ratsupites Street 1, k-1, LV-1067 Riga, Latvia
| | - Edgars Baumanis
- Clinic of Urology and Oncologic Urology, Riga East University Hospital, Hipokrata Street 2, LV-1038 Riga, Latvia
| | - Lauma Freimane
- Latvian Biomedical Research and Study Centre, Ratsupites Street 1, k-1, LV-1067 Riga, Latvia
| | - Rolands Dāle
- Clinic of Urology and Oncologic Urology, Riga East University Hospital, Hipokrata Street 2, LV-1038 Riga, Latvia
| | - Andrejs Leiše
- Clinic of Urology and Oncologic Urology, Riga East University Hospital, Hipokrata Street 2, LV-1038 Riga, Latvia
| | - Vilnis Lietuvietis
- Clinic of Urology and Oncologic Urology, Riga East University Hospital, Hipokrata Street 2, LV-1038 Riga, Latvia
| | - Renāte Ranka
- Latvian Biomedical Research and Study Centre, Ratsupites Street 1, k-1, LV-1067 Riga, Latvia
- Pharmacogenetic and Precision Medicine Laboratory, Pharmaceutical Education and Research Centre, Riga Stradins University, Konsula Street 21, LV-1007 Riga, Latvia
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Krishnamoorthi R, Ganapathy A A, Hari Priya VM, Kumaran A. Future aspects of plant derived bioactive metabolites as therapeutics to combat benign prostatic hyperplasia. JOURNAL OF ETHNOPHARMACOLOGY 2024; 330:118207. [PMID: 38636573 DOI: 10.1016/j.jep.2024.118207] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Revised: 04/12/2024] [Accepted: 04/14/2024] [Indexed: 04/20/2024]
Abstract
ETHNOPHARMACOLOGICAL RELEVANCE Benign prostatic hyperplasia (BPH), characterized by prostate enlargement due to cell proliferation, is a common urinary disorder in men over 50, manifesting as lower urinary tract symptoms (LUTS). Currently, several therapeutic options are accessible for treating BPH, including medication therapy, surgery and watchful waiting. Conventional drugs such as finasteride and dutasteride are used as 5α-reductase inhibitors for the treatment of BPH. However long-term use of these drugs is restricted due to their unpleasant side effects. Despite the range of available medical therapies, the effective treatment against BPH is still inadequate. Certain therapeutic plants and their phytochemicals have the aforementioned goals and work by regulating this enzyme. AIM OF THE STUDY This review aims to provide a comprehensive insight to advancements in diagnosis of BPH, modern treatment methods and the significance of ethnobotanically relevant medicinal plants as alternative therapeutics for managing BPH. MATERIAL AND METHODS A thorough and systematic literature search was performed using electronic databases and search engines such as PubMed, Web of Science, NCBI and SciFinder till October 2023. Specific keywords such as "benign prostatic hyperplasia", "medicinal plants", "phytochemicals", "pharmacology", "synergy", "ethnobotany", "5-alpha reductase", "alpha blocker" and "toxicology". By include these keywords, a thorough investigation of pertinent papers was assured, and important data about the many facets of BPH could be retrieved. RESULTS After conducting the above investigation, 104 herbal remedies were found to inhibit Phosphodiesterase-5 (PDE-5) inhibition, alpha-blockers, or 5α -reductase inhibition effects which are supported by in vitro, in vivo and clinical trial studies evidence. Of these, 89 plants have ethnobotanical significance as alpha-blockers, alpha-reductase inhibition, or PDE-5 inhibition, and the other fifteen plants were chosen based on their ability to reduce BPH risk factors. Several phytocompounds, including, rutaecarpine, vaccarin, rutin, kaempferol, β-sitosterol, quercetin, dicaffeoylquinic acid, rutaevin, and phytosterol-F have been reported to be useful for the management of BPH. The use of combination therapy offers a strong approach to treating long-term conditions compare to single plant extract drugs. Furthermore, several botanical combinations such as lycopene and curcumin, pumpkin seed oil and saw palmetto oil, combinations of extracts from Funtumia africana (Benth.) Stapf and Abutilon mauritianum (Jacq.) Medik., and Hypselodelphys poggeana (K.Schum.) Milne-Redh. and Spermacoce radiata (DC.) Sieber ex Hiern are also supported through in vitro and in vivo studies for managing BPH through recuperation in patients with chronic long-term illnesses, as measured by the International Prostate Symptom Score. CONCLUSION The review proposes and endorses careful utilization of conventional medications that may be investigated further to discover possible PDE-5, 5 alpha-reductase, an alpha-blocker inhibitor for managing BPH. Even though most conventional formulations, such as 5 alpha-reductase, are readily available, systemic assessment of the effectiveness and mechanism of action of the herbal constituents is still necessary to identify novel chemical moieties that can be further developed for maximum efficacy. However, there exist abundant botanicals and medicinal plants across several regions of Africa, Asia, and the Americas, which can be further studied and developed for utilization as a potential phytotherapeutic for the management of BPH.
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Affiliation(s)
- Raman Krishnamoorthi
- Chemical Sciences and Technology Division, CSIR-National Institute for Interdisciplinary Science and Technology (NIIST), Thiruvananthapuram, 695 019, Kerala, India
| | - Anand Ganapathy A
- Chemical Sciences and Technology Division, CSIR-National Institute for Interdisciplinary Science and Technology (NIIST), Thiruvananthapuram, 695 019, Kerala, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - V M Hari Priya
- Chemical Sciences and Technology Division, CSIR-National Institute for Interdisciplinary Science and Technology (NIIST), Thiruvananthapuram, 695 019, Kerala, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Alaganandam Kumaran
- Chemical Sciences and Technology Division, CSIR-National Institute for Interdisciplinary Science and Technology (NIIST), Thiruvananthapuram, 695 019, Kerala, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India.
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10
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Liu X, Duan H, Liu S, Zhang Y, Ji Y, Zhang Y, Feng Z, Li J, Liu Y, Gao Y, Wang X, Zhang Q, Yang L, Dai H, Lyu Z, Song F, Song F, Huang Y. Preliminary effects of risk-adapted PSA screening for prostate cancer after integrating PRS-specific and age-specific variation. Front Genet 2024; 15:1387588. [PMID: 39149591 PMCID: PMC11324495 DOI: 10.3389/fgene.2024.1387588] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2024] [Accepted: 07/15/2024] [Indexed: 08/17/2024] Open
Abstract
Background Although the risk of prostate cancer (PCa) varies across different ages and genetic risks, it's unclear about the effects of genetic-specific and age-specific prostate-specific antigen (PSA) screening for PCa. Methods Weighed and unweighted polygenic risk scores (PRS) were constructed to classify the participants from the PLCO trial into low- or high-PRS groups. The age-specific and PRS-specific cut-off values of PSA for PCa screening were determined with time-dependent receiver-operating-characteristic curves and area-under-curves (tdAUCs). Improved screening strategies integrating PRS-specific and age-specific cut-off values of PSA were compared to traditional PSA screening on accuracy, detection rates of high-grade PCa (Gleason score ≥7), and false positive rate. Results Weighted PRS with 80 SNPs significantly associated with PCa was determined as the optimal PRS, with an AUC of 0.631. After stratifying by PRS, the tdAUCs of PSA with a 10-year risk of PCa were 0.818 and 0.816 for low- and high-PRS groups, whereas the cut-off values were 1.42 and 1.62 ng/mL, respectively. After further stratifying by age, the age-specific cut-off values of PSA were relatively lower for low PRS (1.42, 1.65, 1.60, and 2.24 ng/mL for aged <60, 60-64, 65-69, and ≥70 years) than high PRS (1.48, 1.47, 1.89, and 2.72 ng/mL). Further analyses showed an obvious interaction of positive PSA and high PRS on PCa incidence and mortality. Very small difference in PCa risk were observed among subgroups with PSA (-) across different age and PRS, and PCa incidence and mortality with PSA (+) significantly increased as age and PRS, with highest risk for high-PRS/PSA (+) in participants aged ≥70 years [HRs (95%CI): 16.00 (12.62-20.29) and 19.48 (9.26-40.96)]. The recommended screening strategy reduced 12.8% of missed PCa, ensured high specificity, but not caused excessive false positives than traditional PSA screening. Conclusion Risk-adapted screening integrating PRS-specific and age-specific cut-off values of PSA would be more effective than traditional PSA screening.
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Affiliation(s)
- Xiaomin Liu
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology (Tianjin), National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Hongyuan Duan
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology (Tianjin), National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Siwen Liu
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology (Tianjin), National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Yunmeng Zhang
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology (Tianjin), National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Yuting Ji
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology (Tianjin), National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Yacong Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Zhuowei Feng
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology (Tianjin), National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Jingjing Li
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology (Tianjin), National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Ya Liu
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology (Tianjin), National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Ying Gao
- Health Management Center, Tianjin Medical University General Hospital, Tianjin, China
| | - Xing Wang
- Health Management Center, Tianjin Medical University General Hospital, Tianjin, China
| | - Qing Zhang
- Health Management Center, Tianjin Medical University General Hospital, Tianjin, China
| | - Lei Yang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Beijing Office for Cancer Prevention and Control, Peking University Cancer Hospital and Institute, Beijing, China
| | - Hongji Dai
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology (Tianjin), National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Zhangyan Lyu
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology (Tianjin), National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Fangfang Song
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology (Tianjin), National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Fengju Song
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology (Tianjin), National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Yubei Huang
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology (Tianjin), National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
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11
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Huang Q, Li B, Wang Y, Zi H, Zhang Y, Li F, Fang C, Tang S, Jin Y, Huang J, Zeng X. Clinical biomarker-based biological aging and risk of benign prostatic hyperplasia: A large prospective cohort study. Aging Med (Milton) 2024; 7:393-405. [PMID: 38975310 PMCID: PMC11222739 DOI: 10.1002/agm2.12331] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2024] [Revised: 03/14/2024] [Accepted: 05/30/2024] [Indexed: 07/09/2024] Open
Abstract
Objective Chronological age (CAge), biological age (BAge), and accelerated age (AAge) are all important for aging-related diseases. CAge is a known risk factor for benign prostatic hyperplasia (BPH); However, the evidence of association of BAge and AAge with BPH is limited. This study aimed to evaluate the association of CAge, Bage, and AAge with BPH in a large prospective cohort. Method A total of 135,933 males without BPH at enrolment were extracted from the UK biobank. We calculated three BAge measures (Klemera-Doubal method, KDM; PhenoAge; homeostatic dysregulation, HD) based on 16 biomarkers. Additionally, we calculated KDM-BAge and PhenoAge-BAge measures based on the Levine method. The KDM-AAge and PhenoAge-AAge were assessed by the difference between CAge and BAge and were standardized (mean = 0 and standard deviation [SD] = 1). Cox proportional hazard models were applied to assess the associations of CAge, Bage, and AAge with incident BPH risk. Results During a median follow-up of 13.150 years, 11,811 (8.690%) incident BPH were identified. Advanced CAge and BAge measures were associated with an increased risk of BPH, showing threshold effects at a later age (all P for nonlinearity <0.001). Nonlinear relationships between AAge measures and risk of BPH were also found for KDM-AAge (P = 0.041) and PhenoAge-AAge (P = 0.020). Compared to the balance comparison group (-1 SD < AAge < 1 SD), the accelerated aging group (AAge > 2 SD) had a significantly elevated BPH risk with hazard ratio (HR) of 1.115 (95% CI, 1.000-1.223) for KDM-AAge and 1.180 (95% CI, 1.068-1.303) for PhenoAge-AAge, respectively. For PhenoAge-AAge, subgroup analysis of the accelerated aging group showed an increased HR of 1.904 (95% CI, 1.374-2.639) in males with CAge <50 years and 1.233 (95% CI, 1.088-1.397) in those having testosterone levels <12 nmol/L. Moreover, AAge-associated risk of BPH was independent of and additive to genetic risk. Conclusions Biological aging is an independent and modifiable risk factor for BPH. We suggest performing active health interventions to slow biological aging, which will help mitigate the progression of prostate aging and further reduce the burden of BPH.
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Affiliation(s)
- Qiao Huang
- Center for Evidence‐Based and Translational MedicineZhongnan Hospital of Wuhan UniversityWuhanChina
- Department of Evidence‐Based Medicine and Clinical Epidemiology, Second School of Clinical MedicineWuhan UniversityWuhanChina
| | - Bing‐Hui Li
- Center for Evidence‐Based and Translational MedicineZhongnan Hospital of Wuhan UniversityWuhanChina
- Department of Evidence‐Based Medicine and Clinical Epidemiology, Second School of Clinical MedicineWuhan UniversityWuhanChina
| | - Yong‐Bo Wang
- Center for Evidence‐Based and Translational MedicineZhongnan Hospital of Wuhan UniversityWuhanChina
- Department of Evidence‐Based Medicine and Clinical Epidemiology, Second School of Clinical MedicineWuhan UniversityWuhanChina
| | - Hao Zi
- Center for Evidence‐Based and Translational MedicineZhongnan Hospital of Wuhan UniversityWuhanChina
- Department of UrologyZhongnan Hospital of Wuhan UniversityWuhanChina
| | - Yuan‐Yuan Zhang
- Center for Evidence‐Based and Translational MedicineZhongnan Hospital of Wuhan UniversityWuhanChina
- Department of Evidence‐Based Medicine and Clinical Epidemiology, Second School of Clinical MedicineWuhan UniversityWuhanChina
| | - Fei Li
- Center for Evidence‐Based and Translational MedicineZhongnan Hospital of Wuhan UniversityWuhanChina
- Department of UrologyZhongnan Hospital of Wuhan UniversityWuhanChina
| | - Cheng Fang
- Center for Evidence‐Based and Translational MedicineZhongnan Hospital of Wuhan UniversityWuhanChina
- Department of Evidence‐Based Medicine and Clinical Epidemiology, Second School of Clinical MedicineWuhan UniversityWuhanChina
| | - Shi‐Di Tang
- Center for Evidence‐Based and Translational MedicineZhongnan Hospital of Wuhan UniversityWuhanChina
- Department of Evidence‐Based Medicine and Clinical Epidemiology, Second School of Clinical MedicineWuhan UniversityWuhanChina
| | - Ying‐Hui Jin
- Center for Evidence‐Based and Translational MedicineZhongnan Hospital of Wuhan UniversityWuhanChina
- Department of Evidence‐Based Medicine and Clinical Epidemiology, Second School of Clinical MedicineWuhan UniversityWuhanChina
- Department of GeriatricsZhongnan Hospital of Wuhan UniversityWuhanChina
| | - Jiao Huang
- Center for Evidence‐Based and Translational MedicineZhongnan Hospital of Wuhan UniversityWuhanChina
- Department of Evidence‐Based Medicine and Clinical Epidemiology, Second School of Clinical MedicineWuhan UniversityWuhanChina
| | - Xian‐Tao Zeng
- Center for Evidence‐Based and Translational MedicineZhongnan Hospital of Wuhan UniversityWuhanChina
- Department of Evidence‐Based Medicine and Clinical Epidemiology, Second School of Clinical MedicineWuhan UniversityWuhanChina
- Department of UrologyZhongnan Hospital of Wuhan UniversityWuhanChina
- Department of Epidemiology and Biostatistics, School of Health SciencesWuhan UniversityWuhanChina
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12
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Gholami M. Common and novel haplotype structures between different types of cancer. Cancer Rep (Hoboken) 2024; 7:e2107. [PMID: 39031745 PMCID: PMC11190585 DOI: 10.1002/cnr2.2107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2024] [Revised: 04/03/2024] [Accepted: 05/07/2024] [Indexed: 07/22/2024] Open
Abstract
BACKGROUND Background: Genome-wide association studies (GWAS) have identified hundreds of genetic variants associated with cancer risk. GWAS data are important for cancer prevention and understanding the underlying mechanisms of cancer. AIMS This study aimed to investigate the genetic association between different types of cancer using GWAS data and a bioinformatics approach. METHODS AND RESULTS The significant GWAS variants associated with more than one cancer type were identified. Common linkage disequilibrium (LD) variants between different types of cancer were identified by 1000 genomes phase 3 LD data. Haplotype blocks were identified by analyzing 1000 Genomes phase 3 genotyping data in the GWAS populations. Subsequent analyses included functional SNP analyses and TCGA gene expression. The results associated with significant GWAS variants (P<5E-8) showed the following haplotype associations in European population: GT rs4808075-rs8170 haplotype on BABAM1 with breast and ovarian cancers, GC rs16857609-rs11693806 haplotype on DIRC3 with breast and thyroid cancers, GCG rs380286-rs401681-rs31487 haplotype on CLPTM1L with skin and lung cancers, GGG rs4430796-rs11651052-rs11263763 haplotype on HNF1B with prostate and endometrial cancers, and GT rs10505477-rs6983267 haplotype on CASC8 associated with colorectal and prostate cancers. All these genes had significantly different expressions in tumor tissues (P<1E-3). In addition, the rs11693806 variant is located in the hsa-miR-873-5p binding site and has an enhancing effect on the hsa-miR-873-5p:DIRC3 interaction. CONCLUSION These novel haplotype structures and miRNA:lncRNA interactions are important for understanding the common genetic link between cancers. These results can potentially be used in genetic panels.
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Affiliation(s)
- Morteza Gholami
- Department of Paramedicine, Amol School of Paramedical SciencesMazandaran University of Medical SciencesSariIran
- Metabolic Disorders Research Center, Endocrinology and Metabolism Molecular‐Cellular Sciences InstituteTehran University of Medical SciencesTehranIran
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13
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Hung SC, Chang LW, Hsiao TH, Lin GC, Wang SS, Li JR, Chen IC. Polygenic risk score predicting susceptibility and outcome of benign prostatic hyperplasia in the Han Chinese. Hum Genomics 2024; 18:49. [PMID: 38778357 PMCID: PMC11110300 DOI: 10.1186/s40246-024-00619-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2023] [Accepted: 05/08/2024] [Indexed: 05/25/2024] Open
Abstract
BACKGROUND Given the high prevalence of BPH among elderly men, pinpointing those at elevated risk can aid in early intervention and effective management. This study aimed to explore that polygenic risk score (PRS) is effective in predicting benign prostatic hyperplasia (BPH) incidence, prognosis and risk of operation in Han Chinese. METHODS A retrospective cohort study included 12,474 male participants (6,237 with BPH and 6,237 non-BPH controls) from the Taiwan Precision Medicine Initiative (TPMI). Genotyping was performed using the Affymetrix Genome-Wide TWB 2.0 SNP Array. PRS was calculated using PGS001865, comprising 1,712 single nucleotide polymorphisms. Logistic regression models assessed the association between PRS and BPH incidence, adjusting for age and prostate-specific antigen (PSA) levels. The study also examined the relationship between PSA, prostate volume, and response to 5-α-reductase inhibitor (5ARI) treatment, as well as the association between PRS and the risk of TURP. RESULTS Individuals in the highest PRS quartile (Q4) had a significantly higher risk of BPH compared to the lowest quartile (Q1) (OR = 1.51, 95% CI = 1.274-1.783, p < 0.0001), after adjusting for PSA level. The Q4 group exhibited larger prostate volumes and a smaller volume reduction after 5ARI treatment. The Q1 group had a lower cumulative TURP probability at 3, 5, and 10 years compared to the Q4 group. PRS Q4 was an independent risk factor for TURP. CONCLUSIONS In this Han Chinese cohort, higher PRS was associated with an increased susceptibility to BPH, larger prostate volumes, poorer response to 5ARI treatment, and a higher risk of TURP. Larger prospective studies with longer follow-up are warranted to further validate these findings.
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Affiliation(s)
- Sheng-Chun Hung
- Division of Urology, Department of Surgery, Taichung Veterans General Hospital, Taichung, Taiwan
- Department of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung, Taiwan
- Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan
| | - Li-Wen Chang
- Division of Urology, Department of Surgery, Taichung Veterans General Hospital, Taichung, Taiwan
- Department of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung, Taiwan
- Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan
| | - Tzu-Hung Hsiao
- Department of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan
- Department of Public Health, Fu Jen Catholic University, New Taipei City, Taiwan
- Institute of Genomics and Bioinformatics, National Chung Hsing University, Taichung, Taiwan
| | - Guan-Cheng Lin
- Department of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Shian-Shiang Wang
- Division of Urology, Department of Surgery, Taichung Veterans General Hospital, Taichung, Taiwan
- Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan
- Department of Applied Chemistry, National Chi Nan University, Nantou, Taiwan
| | - Jian-Ri Li
- Division of Urology, Department of Surgery, Taichung Veterans General Hospital, Taichung, Taiwan
- Department of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung, Taiwan
- Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan
- Department of Medicine and Nursing, Hungkuang University, Taichung, Taiwan
| | - I-Chieh Chen
- Department of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan.
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14
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Hu B, Yan M, Huang S, Liang H, Lian W. Association between platelet‑to‑lymphocyte ratio and serum prostate specific antigen. Mol Clin Oncol 2024; 20:10. [PMID: 38213661 PMCID: PMC10777469 DOI: 10.3892/mco.2023.2708] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2023] [Accepted: 11/20/2023] [Indexed: 01/13/2024] Open
Abstract
There is evidence that the systemic inflammatory response may have an impact on prostate-specific antigen (PSA) levels. However, the relationship between the platelet-to-lymphocyte ratio (PLR) and PSA remains unclear. As a result, the relationship between PLR and PSA using the National Health and Nutrition Examination Survey (NHANES) database was examined. After the screening, 6,638 participants out of 52,186 in the NHANES survey conducted between 2001 to 2010 were suitable for the present study. The PLR was the independent variable in the present study, and PSA was the dependent variable. The selected subjects in the present study had an average age of 58.563±11.848 years. After controlling for covariates, the results showed that with every increase in PLR, the PSA concentration increased by 0.004 ng/ml (0.001, 0.007). This difference was statistically significant. Furthermore, a smoothing curve based on a fully adjusted model was created to investigate the possibility of a linear relationship between PLR and PSA concentration in men from USA. In men from USA, an independent and positive correlation between PLR and PSA was identified, which could potentially result in overdiagnosis of asymptomatic prostate cancer in populations with higher PLR levels.
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Affiliation(s)
- Bowen Hu
- Department of Urology, The People's Hospital of Longhua, Shenzhen, Guangdong 518000, P.R. China
| | - Minbo Yan
- Department of Urology, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, Guangdong 519000, P.R. China
| | - Shuchang Huang
- Department of Urology, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, Guangdong 519000, P.R. China
| | - Hui Liang
- Department of Urology, The People's Hospital of Longhua, Shenzhen, Guangdong 518000, P.R. China
| | - Wenfei Lian
- Department of Urology, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, Guangdong 519000, P.R. China
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15
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Tang X, Liu Z, Ren J, Cao Y, Xia S, Sun Z, Luo G. Comparative RNA-sequencing analysis of the prostate in a mouse model of benign prostatic hyperplasia with bladder outlet obstruction. Mol Cell Biochem 2023; 478:2721-2737. [PMID: 36920576 PMCID: PMC10628026 DOI: 10.1007/s11010-023-04695-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Accepted: 02/27/2023] [Indexed: 03/16/2023]
Abstract
In ageing men, benign prostatic hyperplasia (BPH) is a chronic disease that leads to progressive lower urinary tract symptoms (LUTS) caused by obstruction of the bladder outlet (BOO). Patients with LUTS (such as increased frequency and urgency of urination) and complications of BOO (such as hydronephrosis and bladder stones) are at risk of serious health problems. BPH causes a rapidly rising burden of LUTS far exceeding that of other urological conditions. Treatment outcomes are unsatisfactory for BPH largely due to the lacking of fully understanding of the pathogenesis. Hormonal imbalances related to androgen and oestrogen can cause BPH, but the exact mechanism is still unknown, even the animal model is not fully understood. Additionally, there are no large-scale data to explain this mechanism. A BPH mouse model was established using mixed slow-release pellets of testosterone (T) and estradiol (E2), and we measured gene expression in mouse prostate tissue using RNA-seq, verified the results using qRT‒PCR, and used bioinformatics methods to analyse the differentially expressed genes (DEGs).
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Affiliation(s)
- Xiaohu Tang
- Medical College, Guizhou University, Guiyang, 550025, Guizhou, China
- Department of Urology Surgery, Guizhou Province People's Hospital, Guiyang, 550002, China
| | - Zhiyan Liu
- Guizhou Medical University, GuiyangGuizhou, 550025, China
| | - Jingwen Ren
- Guizhou Medical University, GuiyangGuizhou, 550025, China
| | - Ying Cao
- Medical College, Guizhou University, Guiyang, 550025, Guizhou, China
| | - Shujie Xia
- Department of Urology Surgery, Shanghai First People's Hospital, Shanghai Jiao Tong University, Shanghai, 201620, China
| | - Zhaolin Sun
- Medical College, Guizhou University, Guiyang, 550025, Guizhou, China
| | - Guangheng Luo
- Department of Urology Surgery, Guizhou Province People's Hospital, Guiyang, 550002, China.
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Møller PL, Rohde PD, Dahl JN, Rasmussen LD, Schmidt SE, Nissen L, McGilligan V, Bentzon JF, Gudbjartsson DF, Stefansson K, Holm H, Winther S, Bøttcher M, Nyegaard M. Combining Polygenic and Proteomic Risk Scores With Clinical Risk Factors to Improve Performance for Diagnosing Absence of Coronary Artery Disease in Patients With de novo Chest Pain. CIRCULATION. GENOMIC AND PRECISION MEDICINE 2023; 16:442-451. [PMID: 37753640 DOI: 10.1161/circgen.123.004053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Accepted: 08/11/2023] [Indexed: 09/28/2023]
Abstract
BACKGROUND Patients with de novo chest pain, referred for evaluation of possible coronary artery disease (CAD), frequently have an absence of CAD resulting in millions of tests not having any clinical impact. The objective of this study was to investigate whether polygenic risk scores and targeted proteomics improve the prediction of absence of CAD in patients with suspected CAD, when added to the PROMISE (Prospective Multicenter Imaging Study for Evaluation of Chest Pain) minimal risk score (PMRS). METHODS Genotyping and targeted plasma proteomics (N=368 proteins) were performed in 1440 patients with symptoms suspected to be caused by CAD undergoing coronary computed tomography angiography. Based on individual genotypes, a polygenic risk score for CAD (PRSCAD) was calculated. The prediction was performed using combinations of PRSCAD, proteins, and PMRS as features in models using stability selection and machine learning. RESULTS Prediction of absence of CAD yielded an area under the curve of PRSCAD-model, 0.64±0.03; proteomic-model, 0.58±0.03; and PMRS model, 0.76±0.02. No significant correlation was found between the genetic and proteomic risk scores (Pearson correlation coefficient, -0.04; P=0.13). Optimal predictive ability was achieved by the full model (PRSCAD+protein+PMRS) yielding an area under the curve of 0.80±0.02 for absence of CAD, significantly better than the PMRS model alone (P<0.001). For reclassification purpose, the full model enabled down-classification of 49% (324 of 661) of the 5% to 15% pretest probability patients and 18% (113 of 611) of >15% pretest probability patients. CONCLUSIONS For patients with chest pain and low-intermediate CAD risk, incorporating targeted proteomics and polygenic risk scores into the risk assessment substantially improved the ability to predict the absence of CAD. Genetics and proteomics seem to add complementary information to the clinical risk factors and improve risk stratification in this large patient group. REGISTRATION URL: https://www. CLINICALTRIALS gov; Unique identifier: NCT02264717.
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Affiliation(s)
- Peter Loof Møller
- Department of Biomedicine (P.L.M., M.N.), Aarhus University
- Department of Health Science and Technology, Aalborg University (P.L.M., P.D.R., S.E.S., M.N.)
| | - Palle Duun Rohde
- Department of Health Science and Technology, Aalborg University (P.L.M., P.D.R., S.E.S., M.N.)
| | - Jonathan Nørtoft Dahl
- Department of Clinical Medicine (J.N.D., L.D.R., L.N., J.F.B., S.W., M.B.), Aarhus University
- Department of Cardiology, Gødstrup Hospital, Herning, Denmark (J.N.D., L.D.R., L.N., S.W., M.B.)
| | - Laust Dupont Rasmussen
- Department of Clinical Medicine (J.N.D., L.D.R., L.N., J.F.B., S.W., M.B.), Aarhus University
- Department of Cardiology, Gødstrup Hospital, Herning, Denmark (J.N.D., L.D.R., L.N., S.W., M.B.)
| | - Samuel Emil Schmidt
- Department of Health Science and Technology, Aalborg University (P.L.M., P.D.R., S.E.S., M.N.)
| | - Louise Nissen
- Department of Clinical Medicine (J.N.D., L.D.R., L.N., J.F.B., S.W., M.B.), Aarhus University
- Department of Cardiology, Gødstrup Hospital, Herning, Denmark (J.N.D., L.D.R., L.N., S.W., M.B.)
| | - Victoria McGilligan
- Personalized Medicine Centre, Ulster University, Derry, Northern Ireland (V.M.)
| | - Jacob F Bentzon
- Department of Clinical Medicine (J.N.D., L.D.R., L.N., J.F.B., S.W., M.B.), Aarhus University
- Centro Nacional de Investigaciones Cardiovasculares, Madrid, Spain (J.F.B.)
| | - Daniel F Gudbjartsson
- deCODE genetics/Amgen, Inc. (D.F.G., K.S., H.H.)
- School of Engineering and Natural Sciences (D.F.G.)
| | - Kari Stefansson
- deCODE genetics/Amgen, Inc. (D.F.G., K.S., H.H.)
- Faculty of Medicine, University of Iceland, Reykjavik (K.S.)
| | - Hilma Holm
- deCODE genetics/Amgen, Inc. (D.F.G., K.S., H.H.)
| | - Simon Winther
- Department of Clinical Medicine (J.N.D., L.D.R., L.N., J.F.B., S.W., M.B.), Aarhus University
- Department of Cardiology, Gødstrup Hospital, Herning, Denmark (J.N.D., L.D.R., L.N., S.W., M.B.)
| | - Morten Bøttcher
- Department of Clinical Medicine (J.N.D., L.D.R., L.N., J.F.B., S.W., M.B.), Aarhus University
- Department of Cardiology, Gødstrup Hospital, Herning, Denmark (J.N.D., L.D.R., L.N., S.W., M.B.)
| | - Mette Nyegaard
- Department of Biomedicine (P.L.M., M.N.), Aarhus University
- Department of Health Science and Technology, Aalborg University (P.L.M., P.D.R., S.E.S., M.N.)
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Ruan X, Huang D, Huang J, Tsu JHL, Na R. Genetic risk assessment of lethal prostate cancer using polygenic risk score and hereditary cancer susceptibility genes. J Transl Med 2023; 21:446. [PMID: 37415201 PMCID: PMC10327136 DOI: 10.1186/s12967-023-04316-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Accepted: 06/29/2023] [Indexed: 07/08/2023] Open
Abstract
BACKGROUND The genetic risk of aggressive prostate cancer (PCa) is hard to be assessed due to the lack of aggressiveness-related single-nucleotide polymorphisms (SNPs). Prostate volume (PV) is a potential well-established risk factor for aggressive PCa, we hypothesize that polygenic risk score (PRS) based on benign prostate hyperplasia (BPH) or PV-related SNPs may also predict the risk of aggressive PCa or PCa death. METHODS We evaluated a PRS using 21 BPH/PV-associated SNPs, two established PCa risk-related PRS and 10 guideline-recommended hereditary cancer risk genes in the population-based UK Biobank cohort (N = 209,502). RESULTS The BPH/PV PRS was significantly inversely associated with the incidence of lethal PCa as well as the natural progress in PCa patients (hazard ratio, HR = 0.92, 95% confidence interval [CI]: 0.87-0.98, P = 0.02; HR = 0.92, 95% CI 0.86-0.98, P = 0.01). Compared with men at the top 25th PRS, PCa patients with bottom 25th PRS would have a 1.41-fold (HR, 95% CI 1.16-1.69, P = 0.001) increased PCa fatal risk and shorter survival time at 0.37 yr (95% CI 0.14-0.61, P = 0.002). In addition, patients with BRCA2 or PALB2 pathogenic mutations would also have a high risk of PCa death (HR = 3.90, 95% CI 2.34-6.51, P = 1.79 × 10-7; HR = 4.29, 95% CI 1.36-13.50, P = 0.01, respectively). However, no interactive but independent effects were detected between this PRS and pathogenic mutations. CONCLUSIONS Our findings provide a new measurement of PCa patients' natural disease outcomes via genetic risk ways.
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Affiliation(s)
- Xiaohao Ruan
- Department of Urology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Da Huang
- Department of Urology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Jingyi Huang
- Department of Urology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - James Hok-Leung Tsu
- Division of Urology, Department of Surgery, Queen Mary Hospital, The University of Hong Kong, Hong Kong, China
| | - Rong Na
- Division of Urology, Department of Surgery, Queen Mary Hospital, The University of Hong Kong, Hong Kong, China.
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Mousa M, Albarguthi S, Albreiki M, Farooq Z, Sajid S, El Hajj Chehadeh S, ElBait GD, Tay G, Deeb AA, Alsafar H. Whole-Exome Sequencing in Family Trios Reveals De Novo Mutations Associated with Type 1 Diabetes Mellitus. BIOLOGY 2023; 12:biology12030413. [PMID: 36979105 PMCID: PMC10044903 DOI: 10.3390/biology12030413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Revised: 02/16/2023] [Accepted: 02/23/2023] [Indexed: 03/10/2023]
Abstract
Type 1 diabetes mellitus (T1DM) is a chronic autoimmune disease characterized by insulin deficiency and loss of pancreatic islet β-cells. The objective of this study is to identify de novo mutations in 13 trios from singleton families that contribute to the genetic basis of T1DM through the application of whole-exome sequencing (WES). Of the 13 families sampled for this project, 12 had de novo variants, with Family 7 having the highest number (nine) of variants linked to T1DM/autoimmune pathways, whilst Family 4 did not have any variants past the filtering steps. There were 10 variants of 7 genes reportedly associated with T1DM (MST1; TDG; TYRO3; IFIHI; GLIS3; VEGFA; TYK2). There were 20 variants of 13 genes that were linked to endocrine, metabolic, or autoimmune diseases. Our findings demonstrate that trio-based WES is a powerful approach for identifying new candidate genes for the pathogenesis of T1D. Genotyping and functional annotation of the discovered de novo variants in a large cohort is recommended to ascertain their association with disease pathogenesis.
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Affiliation(s)
- Mira Mousa
- Center of Biotechnology, Khalifa University of Science and Technology, Abu Dhabi 127788, United Arab Emirates
| | - Sara Albarguthi
- Center of Biotechnology, Khalifa University of Science and Technology, Abu Dhabi 127788, United Arab Emirates
- Department of Biomedical Engineering, Khalifa University of Science and Technology, Abu Dhabi 127788, United Arab Emirates
| | - Mohammed Albreiki
- Center of Biotechnology, Khalifa University of Science and Technology, Abu Dhabi 127788, United Arab Emirates
| | - Zenab Farooq
- College of Medicine and Health Sciences, Khalifa University, Abu Dhabi 127788, United Arab Emirates
| | - Sameeha Sajid
- College of Medicine and Health Sciences, Khalifa University, Abu Dhabi 127788, United Arab Emirates
| | - Sarah El Hajj Chehadeh
- Center of Biotechnology, Khalifa University of Science and Technology, Abu Dhabi 127788, United Arab Emirates
| | - Gihan Daw ElBait
- Center of Biotechnology, Khalifa University of Science and Technology, Abu Dhabi 127788, United Arab Emirates
| | - Guan Tay
- Center of Biotechnology, Khalifa University of Science and Technology, Abu Dhabi 127788, United Arab Emirates
| | - Asma Al Deeb
- College of Medicine and Health Sciences, Khalifa University, Abu Dhabi 127788, United Arab Emirates
- Department of Endocrinology, Mafraq Hospital, Abu Dhabi 127788, United Arab Emirates
| | - Habiba Alsafar
- Center of Biotechnology, Khalifa University of Science and Technology, Abu Dhabi 127788, United Arab Emirates
- Department of Biomedical Engineering, Khalifa University of Science and Technology, Abu Dhabi 127788, United Arab Emirates
- Correspondence:
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19
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Shrine N, Izquierdo AG, Chen J, Packer R, Hall RJ, Guyatt AL, Batini C, Thompson RJ, Pavuluri C, Malik V, Hobbs BD, Moll M, Kim W, Tal-Singer R, Bakke P, Fawcett KA, John C, Coley K, Piga NN, Pozarickij A, Lin K, Millwood IY, Chen Z, Li L, Wijnant SRA, Lahousse L, Brusselle G, Uitterlinden AG, Manichaikul A, Oelsner EC, Rich SS, Barr RG, Kerr SM, Vitart V, Brown MR, Wielscher M, Imboden M, Jeong A, Bartz TM, Gharib SA, Flexeder C, Karrasch S, Gieger C, Peters A, Stubbe B, Hu X, Ortega VE, Meyers DA, Bleecker ER, Gabriel SB, Gupta N, Smith AV, Luan J, Zhao JH, Hansen AF, Langhammer A, Willer C, Bhatta L, Porteous D, Smith BH, Campbell A, Sofer T, Lee J, Daviglus ML, Yu B, Lim E, Xu H, O'Connor GT, Thareja G, Albagha OME, Suhre K, Granell R, Faquih TO, Hiemstra PS, Slats AM, Mullin BH, Hui J, James A, Beilby J, Patasova K, Hysi P, Koskela JT, Wyss AB, Jin J, Sikdar S, Lee M, May-Wilson S, Pirastu N, Kentistou KA, Joshi PK, Timmers PRHJ, Williams AT, Free RC, Wang X, Morrison JL, Gilliland FD, Chen Z, Wang CA, Foong RE, Harris SE, et alShrine N, Izquierdo AG, Chen J, Packer R, Hall RJ, Guyatt AL, Batini C, Thompson RJ, Pavuluri C, Malik V, Hobbs BD, Moll M, Kim W, Tal-Singer R, Bakke P, Fawcett KA, John C, Coley K, Piga NN, Pozarickij A, Lin K, Millwood IY, Chen Z, Li L, Wijnant SRA, Lahousse L, Brusselle G, Uitterlinden AG, Manichaikul A, Oelsner EC, Rich SS, Barr RG, Kerr SM, Vitart V, Brown MR, Wielscher M, Imboden M, Jeong A, Bartz TM, Gharib SA, Flexeder C, Karrasch S, Gieger C, Peters A, Stubbe B, Hu X, Ortega VE, Meyers DA, Bleecker ER, Gabriel SB, Gupta N, Smith AV, Luan J, Zhao JH, Hansen AF, Langhammer A, Willer C, Bhatta L, Porteous D, Smith BH, Campbell A, Sofer T, Lee J, Daviglus ML, Yu B, Lim E, Xu H, O'Connor GT, Thareja G, Albagha OME, Suhre K, Granell R, Faquih TO, Hiemstra PS, Slats AM, Mullin BH, Hui J, James A, Beilby J, Patasova K, Hysi P, Koskela JT, Wyss AB, Jin J, Sikdar S, Lee M, May-Wilson S, Pirastu N, Kentistou KA, Joshi PK, Timmers PRHJ, Williams AT, Free RC, Wang X, Morrison JL, Gilliland FD, Chen Z, Wang CA, Foong RE, Harris SE, Taylor A, Redmond P, Cook JP, Mahajan A, Lind L, Palviainen T, Lehtimäki T, Raitakari OT, Kaprio J, Rantanen T, Pietiläinen KH, Cox SR, Pennell CE, Hall GL, Gauderman WJ, Brightling C, Wilson JF, Vasankari T, Laitinen T, Salomaa V, Mook-Kanamori DO, Timpson NJ, Zeggini E, Dupuis J, Hayward C, Brumpton B, Langenberg C, Weiss S, Homuth G, Schmidt CO, Probst-Hensch N, Jarvelin MR, Morrison AC, Polasek O, Rudan I, Lee JH, Sayers I, Rawlins EL, Dudbridge F, Silverman EK, Strachan DP, Walters RG, Morris AP, London SJ, Cho MH, Wain LV, Hall IP, Tobin MD. Multi-ancestry genome-wide association analyses improve resolution of genes and pathways influencing lung function and chronic obstructive pulmonary disease risk. Nat Genet 2023; 55:410-422. [PMID: 36914875 PMCID: PMC10011137 DOI: 10.1038/s41588-023-01314-0] [Show More Authors] [Citation(s) in RCA: 76] [Impact Index Per Article: 38.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Accepted: 01/25/2023] [Indexed: 03/16/2023]
Abstract
Lung-function impairment underlies chronic obstructive pulmonary disease (COPD) and predicts mortality. In the largest multi-ancestry genome-wide association meta-analysis of lung function to date, comprising 580,869 participants, we identified 1,020 independent association signals implicating 559 genes supported by ≥2 criteria from a systematic variant-to-gene mapping framework. These genes were enriched in 29 pathways. Individual variants showed heterogeneity across ancestries, age and smoking groups, and collectively as a genetic risk score showed strong association with COPD across ancestry groups. We undertook phenome-wide association studies for selected associated variants as well as trait and pathway-specific genetic risk scores to infer possible consequences of intervening in pathways underlying lung function. We highlight new putative causal variants, genes, proteins and pathways, including those targeted by existing drugs. These findings bring us closer to understanding the mechanisms underlying lung function and COPD, and should inform functional genomics experiments and potentially future COPD therapies.
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Affiliation(s)
- Nick Shrine
- Department of Population Health Sciences, University of Leicester, Leicester, UK.
| | - Abril G Izquierdo
- Department of Population Health Sciences, University of Leicester, Leicester, UK
| | - Jing Chen
- Department of Population Health Sciences, University of Leicester, Leicester, UK
| | - Richard Packer
- Department of Population Health Sciences, University of Leicester, Leicester, UK
| | - Robert J Hall
- Division of Respiratory Medicine and NIHR Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, UK
| | - Anna L Guyatt
- Department of Population Health Sciences, University of Leicester, Leicester, UK
| | - Chiara Batini
- Department of Population Health Sciences, University of Leicester, Leicester, UK
- Leicester National Institute for Health and Care Research, Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Rebecca J Thompson
- Division of Respiratory Medicine and NIHR Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, UK
| | - Chandan Pavuluri
- Channing Division of Network Medicine, Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Vidhi Malik
- Channing Division of Network Medicine, Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Brian D Hobbs
- Channing Division of Network Medicine, Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Matthew Moll
- Channing Division of Network Medicine, Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Wonji Kim
- Channing Division of Network Medicine, Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | | | - Per Bakke
- Department of Clinical Science, Unversity of Bergen, Bergen, Norway
| | - Katherine A Fawcett
- Department of Population Health Sciences, University of Leicester, Leicester, UK
| | - Catherine John
- Department of Population Health Sciences, University of Leicester, Leicester, UK
- Leicester National Institute for Health and Care Research, Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Kayesha Coley
- Department of Population Health Sciences, University of Leicester, Leicester, UK
| | - Noemi Nicole Piga
- Department of Population Health Sciences, University of Leicester, Leicester, UK
| | - Alfred Pozarickij
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Kuang Lin
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Iona Y Millwood
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- MRC Population Health Research Unit, University of Oxford, Oxford, UK
| | - Zhengming Chen
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- MRC Population Health Research Unit, University of Oxford, Oxford, UK
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Sara R A Wijnant
- Department of Respiratory Diseases, Ghent Universital Hospital, Ghent, Belgium
- Department of Bioanalysis, Faculty of Pharmaceutical Sciences, Ghent University, Ghent, Belgium
- Department of Epidemiology, Eramus Medical Center, Rotterdam, The Netherlands
| | - Lies Lahousse
- Department of Bioanalysis, Faculty of Pharmaceutical Sciences, Ghent University, Ghent, Belgium
- Department of Epidemiology, Eramus Medical Center, Rotterdam, The Netherlands
| | - Guy Brusselle
- Department of Respiratory Diseases, Ghent Universital Hospital, Ghent, Belgium
- Department of Epidemiology, Eramus Medical Center, Rotterdam, The Netherlands
| | - Andre G Uitterlinden
- Department of Internal Medicine, Eramus Medical Center, Rotterdam, The Netherlands
| | - Ani Manichaikul
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Elizabeth C Oelsner
- Department of Medicine, Columbia University Medical Center, New York, NY, USA
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - R Graham Barr
- Department of Medicine, Columbia University Medical Center, New York, NY, USA
| | - Shona M Kerr
- Medical Research Council Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Veronique Vitart
- Medical Research Council Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Michael R Brown
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Matthias Wielscher
- MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Medea Imboden
- Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Allschwil, Switzerland
- Department of Public Health, University of Basel, Basel, Switzerland
| | - Ayoung Jeong
- Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Allschwil, Switzerland
- Department of Public Health, University of Basel, Basel, Switzerland
| | - Traci M Bartz
- Cardiovascular Health Research Unit, Departments of Medicine and Biostatistics, University of Washington, Seattle, WA, USA
| | - Sina A Gharib
- Computational Medicine Core, Center for Lung Biology, Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Claudia Flexeder
- Institute and Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, Munich, Germany
- Comprehensive Pneumology Center Munich (CPC-M), German Center for Lung Research (DZL), Munich, Germany
- Institute of Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
| | - Stefan Karrasch
- Institute and Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, Munich, Germany
- Comprehensive Pneumology Center Munich (CPC-M), German Center for Lung Research (DZL), Munich, Germany
- Institute of Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
| | - Christian Gieger
- Institute of Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
- Institute for Medical Information Processing, Biometry and Epidemiology, Medical Faculty, Ludwig Maximilian University, Munich, Germany
| | - Beate Stubbe
- Department of Internal Medicine B-Cardiology, Intensive Care, Pulmonary Medicine and Infectious Diseases, University Medicine Greifswald, Greifswald, Germany
| | - Xiaowei Hu
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Victor E Ortega
- Division of Respiratory Medicine, Department of Internal Medicine, Center for Individualized Medicine, Mayo Clinic, Scottsdale, AZ, USA
| | | | | | | | - Namrata Gupta
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Albert Vernon Smith
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Jian'an Luan
- MRC Epidemiology Unit, Institute of Metabolic Science, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Jing-Hua Zhao
- Department of Public and Primary Care, Heart and Lung Research Institute, University of Cambridge, Cambridge, UK
| | - Ailin F Hansen
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU Norwegian University of Science and Technology, Trondheim, Norway
| | - Arnulf Langhammer
- HUNT Research Centre, Department of Public Health and Nursing, NTNU Norwegian University of Science and Technology, Levanger, Norway
- Levanger Hospital, Nord-Trøndelag Hospital Trust, Levanger, Norway
| | - Cristen Willer
- Division of Cardiology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Laxmi Bhatta
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU Norwegian University of Science and Technology, Trondheim, Norway
| | - David Porteous
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Blair H Smith
- Division of Population Health and Genomics, Ninewells Hospital and Medical School, University of Dundee, Dundee, UK
| | - Archie Campbell
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Tamar Sofer
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jiwon Lee
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA
| | - Martha L Daviglus
- Institute for Minority Health Research, University of Illinois at Chicago, Chicago, IL, USA
| | - Bing Yu
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Elise Lim
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA, USA
| | - Hanfei Xu
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA, USA
| | - George T O'Connor
- Pulmonary Center, School of Medicine, Boston University, Boston, MA, USA
| | - Gaurav Thareja
- Bioinformatics Core, Weill Cornell Medicine-Qatar, Education City, Doha, Qatar
| | - Omar M E Albagha
- College of Health and Life Sciences, Hamad Bin Khalifa University, Doha, Qatar
- Center for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Karsten Suhre
- Bioinformatics Core, Weill Cornell Medicine-Qatar, Education City, Doha, Qatar
- Department of Biophysics and Physiology, Weill Cornell Medicine, New York, NY, USA
| | - Raquel Granell
- MRC Integrative Epidemiology Unit (IEU), Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Tariq O Faquih
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Pieter S Hiemstra
- Department of Pulmonology, Leiden University Medical Center, Leiden, The Netherlands
| | - Annelies M Slats
- Department of Pulmonology, Leiden University Medical Center, Leiden, The Netherlands
| | - Benjamin H Mullin
- Department of Endocrinology and Diabetes, Sir Charles Gairdner Hospital, Nedlands, Western Australia, Australia
- School of Biomedical Sciences, University of Western Australia, Crawley, Western Australia, Australia
| | - Jennie Hui
- Busselton Population Medical Research Institute, QEII Medical Centre, Nedlands, Western Australia, Australia
- School of Population and Global Health, University of Western Australia, Crawley, Western Australia, Australia
- PathWest Laboratory Medicine of WA, Nedlands, Western Australia, Australia
| | - Alan James
- Busselton Population Medical Research Institute, QEII Medical Centre, Nedlands, Western Australia, Australia
| | - John Beilby
- School of Biomedical Sciences, University of Western Australia, Crawley, Western Australia, Australia
- Busselton Population Medical Research Institute, QEII Medical Centre, Nedlands, Western Australia, Australia
| | - Karina Patasova
- Department of Twin Research and Genetic Epidemiology, King's College London School of Medicine, London, UK
- Division of Respiratory Medicine, Department of Medicine Solna, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Pirro Hysi
- Department of Twin Research and Genetic Epidemiology, King's College London School of Medicine, London, UK
- UCL Institute of Ophthalmology, University College London, London, UK
| | - Jukka T Koskela
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Annah B Wyss
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA
| | | | - Sinjini Sikdar
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA
- Department of Mathematics and Statistics, Old Dominion University, Norfolk, VA, USA
| | - Mikyeong Lee
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA
| | - Sebastian May-Wilson
- Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Nicola Pirastu
- Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Katherine A Kentistou
- Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
- Centre for Cardiovascular Sciences, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - Peter K Joshi
- Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Paul R H J Timmers
- Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Alexander T Williams
- Department of Population Health Sciences, University of Leicester, Leicester, UK
| | - Robert C Free
- Leicester National Institute for Health and Care Research, Biomedical Research Centre, Glenfield Hospital, Leicester, UK
- Department of Respiratory Sciences, University of Leicester, Leicester, UK
| | - Xueyang Wang
- Leicester National Institute for Health and Care Research, Biomedical Research Centre, Glenfield Hospital, Leicester, UK
- Department of Respiratory Sciences, University of Leicester, Leicester, UK
| | - John L Morrison
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Frank D Gilliland
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Zhanghua Chen
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Carol A Wang
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, University of Newcastle, Newcastle, New South Wales, Australia
- Hunter Medical Research Institute, Newcastle, New South Wales, Australia
| | - Rachel E Foong
- Wal-yan Respiratory Research Centre, Telethon Kids Institute, Perth, Western Australia, Australia
- School of Allied Health, Faculty of Health Sciences, Curtin University, Perth, Western Australia, Australia
| | - Sarah E Harris
- Lothian Birth Cohorts group, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Adele Taylor
- Lothian Birth Cohorts group, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Paul Redmond
- Lothian Birth Cohorts group, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - James P Cook
- Department of Health Data Science, University of Liverpool, Liverpool, UK
| | - Anubha Mahajan
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- Genentech, South San Francisco, CA, USA
| | - Lars Lind
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Teemu Palviainen
- Institute for Molecular Medicine Finland-FIMM, University of Helsinki, Helsinki, Finland
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, and Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Olli T Raitakari
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
| | - Jaakko Kaprio
- Institute for Molecular Medicine Finland-FIMM, University of Helsinki, Helsinki, Finland
| | - Taina Rantanen
- Faculty of Sport and Health Sciences, University of Jyvaskyla, Jyvaskyla, Finland
| | - Kirsi H Pietiläinen
- Obesity Research Unit, Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Obesity and Abdominal Centers, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Simon R Cox
- Lothian Birth Cohorts group, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Craig E Pennell
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, University of Newcastle, Newcastle, New South Wales, Australia
- Hunter Medical Research Institute, Newcastle, New South Wales, Australia
- Department of Maternity and Gynaecology, John Hunter Hospital, Newcastle, New South Wales, Australia
| | - Graham L Hall
- Wal-yan Respiratory Research Centre, Telethon Kids Institute, Perth, Western Australia, Australia
- School of Allied Health, Faculty of Health Sciences, Curtin University, Perth, Western Australia, Australia
| | - W James Gauderman
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Chris Brightling
- Leicester National Institute for Health and Care Research, Biomedical Research Centre, Glenfield Hospital, Leicester, UK
- Department of Infection, Inflammation and Immunity, Institute for Lung Health, University of Leicester, Leicester, UK
| | - James F Wilson
- Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital, Edinburgh, UK
| | - Tuula Vasankari
- FILHA-Finnish Lung Health Association, Helsinki, Finland
- Department of Respiratory Diseases and Allergology, University of Turku, Turku, Finland
| | - Tarja Laitinen
- Administration Center, Tampere University Hospital and University of Tampere, Tampere, Finland
| | - Veikko Salomaa
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Dennis O Mook-Kanamori
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, The Netherlands
| | - Nicholas J Timpson
- MRC Integrative Epidemiology Unit (IEU), Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- ALSPAC, Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Eleftheria Zeggini
- Wellcome Sanger Institute, Cambridge, UK
- Institute of Translational Genomics, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
- Technical University of Munich (TUM) and Klinikum Rechts der Isar, TUM School of Medicine, Munich, Germany
| | - Josée Dupuis
- Department of Epidemiology, Biostatistics, and Occupational Health, School of Population and Global Health, McGill University, Montreal, Quebec, Canada
| | - Caroline Hayward
- Medical Research Council Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Ben Brumpton
- HUNT Research Centre, Department of Public Health and Nursing, NTNU Norwegian University of Science and Technology, Levanger, Norway
- Clinic of Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Claudia Langenberg
- MRC Epidemiology Unit, Institute of Metabolic Science, School of Clinical Medicine, University of Cambridge, Cambridge, UK
- Precision Healthcare University Research Institute, Queen Mary University of London, London, UK
- Computational Medicine, Berlin Institute of Health at Charité, Universitätsmedizin Berlin, Berlin, Germany
| | - Stefan Weiss
- Interfaculty Institute for Genetics and Functional Genomics, Department of Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Georg Homuth
- Interfaculty Institute for Genetics and Functional Genomics, Department of Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Carsten Oliver Schmidt
- Institute for Community Medicine, SHIP-Clinical Epidemiological Research, University Medicine Greifswald, Greifswald, Germany
| | - Nicole Probst-Hensch
- Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Allschwil, Switzerland
- Department of Public Health, University of Basel, Basel, Switzerland
| | - Marjo-Riitta Jarvelin
- MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
- Biocenter Oulu, University of Oulu, Oulu, Finland
- Unit of Primary Health Care, Oulu University Hospital, OYS, Oulu, Finland
| | - Alanna C Morrison
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Ozren Polasek
- School of Medicine, University of Split, Split, Croatia
| | - Igor Rudan
- Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Joo-Hyeon Lee
- Jeffrey Cheah Biomedical Centre, Wellcome-MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK
| | - Ian Sayers
- Division of Respiratory Medicine and NIHR Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, UK
| | - Emma L Rawlins
- Wellcome Trust-CRUK Gurdon Institute and Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK
| | - Frank Dudbridge
- Department of Population Health Sciences, University of Leicester, Leicester, UK
| | - Edwin K Silverman
- Channing Division of Network Medicine, Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - David P Strachan
- Population Health Research Institute, St George's University of London, London, UK
| | - Robin G Walters
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- MRC Population Health Research Unit, University of Oxford, Oxford, UK
| | - Andrew P Morris
- Centre for Genetics and Genomics Versus Arthritis, Division of Musculoskeletal and Dermatological Sciences, Centre for Musculoskeletal Research, The University of Manchester, Manchester, UK
| | - Stephanie J London
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA
| | - Michael H Cho
- Channing Division of Network Medicine, Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Louise V Wain
- Department of Population Health Sciences, University of Leicester, Leicester, UK
- Leicester National Institute for Health and Care Research, Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Ian P Hall
- Division of Respiratory Medicine and NIHR Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, UK
| | - Martin D Tobin
- Department of Population Health Sciences, University of Leicester, Leicester, UK.
- Leicester National Institute for Health and Care Research, Biomedical Research Centre, Glenfield Hospital, Leicester, UK.
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20
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Wang SY, Qiu Q, Shen X. Effect of Pudendal Nerve Block on the Prevention of Postoperative Bladder Spasm and Catheter-Related Bladder Discomfort in Male Patients Undergoing Transurethral Holmium Laser Enucleation of the Prostate. Clin Interv Aging 2022; 17:1729-1738. [PMID: 36474581 PMCID: PMC9719684 DOI: 10.2147/cia.s384612] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Accepted: 11/21/2022] [Indexed: 04/30/2025] Open
Abstract
Purpose Bladder spasm (BS) and catheter-related bladder discomfort (CRBD) are complications after transurethral holmium laser enucleation of the prostate (HoLEP). The pudendal nerve (PN) innervates the perineum. Therefore, we evaluated whether PN block (PNB) can reduce the incidence of BS and CRBD in patients undergoing HoLEP. Methods In this randomized, parallel, single-blind prospective study, we enrolled 110 patients who were scheduled to undergo HoLEP under general anesthesia. Patients were randomly allocated to the PNB group (ultrasound-guided PNB at the entrance of the pudendal [Alcock's] canal bilaterally; n = 55) or the control group (general anesthesia only; n = 55). The primary outcome was the incidence of BS and CRBD at 0.5, 1, 2, 4, 6, 12, and 24 hours postoperatively. The CRBD severity, postoperative pain, and analgesic drug use were also assessed. A P value of < 0.05 was considered statistically significant. Results A significantly lower incidence of BS (P = 0.023) and CRBD (P < 0.001) was reported within the first 24 hours postoperatively in the PNB group. The incidence of CRBD above a moderate grade at 0.5 (P < 0.001), 1 (P < 0.001), 2 (P < 0.001), and 4 (P = 0.019) hours postoperatively was significantly lower in the PNB group. Additionally, postoperative pain scores and analgesic drug use were significantly lower in the PNB group. No PNB-related complications were observed. Conclusion PNB at the entrance of the pudendal canal bilaterally resulted in a lower incidence of BS and CRBD, less postoperative pain, and less analgesic drug use in patients undergoing HoLEP without PNB-related side effects. Implication Statement Bladder spasm and catheter-related bladder discomfort can occur in older individuals undergoing transurethral holmium laser enucleation of the prostate. They often result in severe pain and prolonging the hospital stay. We performed a bilateral ultrasound-guided pudendal nerve block at the entrance of the pudendal (Alcock's) canal and found that the block reduced bladder spasm, catheter-related bladder discomfort, postoperative pain, and use of anesthetics. Besides, pudendal nerve block also decreased the severity of catheter-related bladder discomfort and helped older individuals achieve rapid recovery.
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Affiliation(s)
- Sheng-Yan Wang
- Medical Center for Anesthesia and Pain, First Hospital of Jiaxing, Jiaxing City, People’s Republic of China
| | - Qing Qiu
- Anesthesia Medicine, Zhejiang Chinese Medical University, Hangzhou City, People’s Republic of China
| | - Xu Shen
- Medical Center for Anesthesia and Pain, First Hospital of Jiaxing, Jiaxing City, People’s Republic of China
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21
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Glaser A, Shi Z, Wei J, Lanman NA, Ladson-Gary S, Vickman RE, Franco OE, Crawford SE, Lilly Zheng S, Hayward SW, Isaacs WB, Helfand BT, Xu J. Shared Inherited Genetics of Benign Prostatic Hyperplasia and Prostate Cancer. EUR UROL SUPPL 2022; 43:54-61. [PMID: 36353071 PMCID: PMC9638770 DOI: 10.1016/j.euros.2022.07.004] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/07/2022] [Indexed: 11/22/2022] Open
Abstract
Background The association between benign prostatic hyperplasia (BPH) and prostate cancer (PCa) remains controversial, largely due to a detection bias in traditional observational studies. Objective To assess the association between BPH and PCa using inherited single nucleotide polymorphisms (SNPs). Design setting and participants The participants were White men from the population-based UK Biobank (UKB). Outcome measurements and statistical analysis The association between BPH and PCa was tested for (1) phenotypic correlation using chi-square, (2) genetic correlation (r g) based on genome-wide SNPs using linkage disequilibrium score regression, and (3) cross-disease genetic associations based on known risk-associated SNPs (15 for BPH and 239 for PCa), individually and cumulatively using genetic risk score (GRS). Results and limitations Among 214 717 White men in the UKB, 24 623 (11%) and 14 311 (6.7%) had a diagnosis of BPH and PCa, respectively. Diagnoses of these two diseases were significantly correlated (χ2 = 1862.80, p < 0.001). A significant genetic correlation was found (r g = 0.16; 95% confidence interval 0.03-0.28, p = 0.01). In addition, significant cross-disease genetic associations for established risk-associated SNPs were also found. Among the 250 established genome-wide association study-significant SNPs of PCa or BPH, 49 were significantly associated with the risk of the other disease at p < 0.05, significantly more than expected by chance (N = 12, p < 0.001; χ2 test). Furthermore, significant cross-disease GRS associations were also found; GRSBPH was significantly associated with PCa risk (odds ratio [OR] = 1.26 [1.18-1.36], p < 0.001), and GRSPCa was significantly associated with BPH risk (OR = 1.03 [1.02-1.04], p < 0.001). Moreover, GRSBPH was significantly and inversely associated with lethal PCa risk in a PCa case-case analysis (OR = 0.58 [0.41-0.81], p = 0.002). Only White men were studied. Conclusions BPH and PCa share common inherited genetics, which suggests that the phenotypic association of these two diseases in observational studies is not entirely caused by the detection bias. Patient summary For the first time, we found that benign prostatic hyperplasia and prostate cancer are genetically related. This finding may have implications in disease etiology and risk stratification.
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Affiliation(s)
- Alexander Glaser
- Program for Personalized Cancer Care, NorthShore University HealthSystem, Evanston, IL, USA
- Department of Surgery, NorthShore University HealthSystem, Evanston, IL, USA
| | - Zhuqing Shi
- Program for Personalized Cancer Care, NorthShore University HealthSystem, Evanston, IL, USA
| | - Jun Wei
- Program for Personalized Cancer Care, NorthShore University HealthSystem, Evanston, IL, USA
| | - Nadia A. Lanman
- Collaborative Core for Cancer Bioinformatics, Purdue Center for Cancer Research, Purdue University, West Lafayette, IN, USA
| | - Skylar Ladson-Gary
- Program for Personalized Cancer Care, NorthShore University HealthSystem, Evanston, IL, USA
| | - Renee E. Vickman
- Program for Personalized Cancer Care, NorthShore University HealthSystem, Evanston, IL, USA
| | - Omar E. Franco
- Program for Personalized Cancer Care, NorthShore University HealthSystem, Evanston, IL, USA
| | - Susan E. Crawford
- Program for Personalized Cancer Care, NorthShore University HealthSystem, Evanston, IL, USA
| | - S. Lilly Zheng
- Program for Personalized Cancer Care, NorthShore University HealthSystem, Evanston, IL, USA
| | - Simon W. Hayward
- Program for Personalized Cancer Care, NorthShore University HealthSystem, Evanston, IL, USA
| | - William B. Isaacs
- Department of Urology and the James Buchanan Brady Urologic Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Brian T. Helfand
- Program for Personalized Cancer Care, NorthShore University HealthSystem, Evanston, IL, USA
- Department of Surgery, NorthShore University HealthSystem, Evanston, IL, USA
- Department of Surgery, University of Chicago Pritzker School of Medicine, Chicago, IL, USA
- Corresponding authors. 1001 University Place, Evanston, IL 60201, USA. Tel. +1 (224) 264-7501; Fax: +1 (224) 364-7675.
| | - Jianfeng Xu
- Program for Personalized Cancer Care, NorthShore University HealthSystem, Evanston, IL, USA
- Department of Surgery, NorthShore University HealthSystem, Evanston, IL, USA
- Department of Surgery, University of Chicago Pritzker School of Medicine, Chicago, IL, USA
- Corresponding authors. 1001 University Place, Evanston, IL 60201, USA. Tel. +1 (224) 264-7501; Fax: +1 (224) 364-7675.
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22
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Ding K, Tang R, Yu J. Recommendations for the Management of Patients with Benign Prostatic Hyperplasia in the Context of the COVID-19 Pandemic: A Retrospective Study of 314 Cases. BIOMED RESEARCH INTERNATIONAL 2022; 2022:5739574. [PMID: 35607311 PMCID: PMC9123418 DOI: 10.1155/2022/5739574] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Revised: 04/20/2022] [Accepted: 04/28/2022] [Indexed: 11/17/2022]
Abstract
Aim Through investigation and analysis of the course management of 314 patients with benign prostatic hyperplasia (BPH) during the COVID-19 pandemic, we expected to offer effective recommendations for the management of patients with BPH against the background of the COVID-19 pandemic. Methods We implemented telephone follow-ups of 314 patients with BPH who were diagnosed at the Urology Clinic of Xiangya Hospital of Central South University before January 24, 2020, and who were admitted to the hospital for reexamination after the epidemic was controlled in China, and we conducted research and analysis of their disease management during the COVID-19 pandemic. Results In the follow-up, we found 245 patients (79.3%) over 60 years of age and 187 patients (60.5%) with underlying disease. There were 47 patients (15.2%) who returned for consultation during the COVID-19 pandemic, and of these, 18 were admitted to the hospital for follow-up consultation, and 29 patients underwent consultation via the internet or telephone. Eleven patients underwent surgery during the pandemic, and of these, three experienced emergency surgery. We encountered 65 patients (24.4%) who self-administered medications irregularly and 54 patients (20.3%) who self-medicated and adjusted the dosage and drug types themselves. There were 302 patients (97.7%) who wished to be reexamined during the COVID-19 pandemic. In terms of treatment, the proportion of patients "awaiting observation" declined from 13.9% to 4.4%, and the proportion of patients "awaiting surgery" increased from 4.9% to 16.4%. Using the International Prostate Symptom Score (IPSS) scale, the percentage of patients with moderate-to-severe symptoms increased from 79.9% to 90.1%, and the proportion with a quality of life (QOL) score ≥ 5 rose from 82.5% to 88.9%. The proportions of patients exhibiting storage, voiding, and postmicturition symptoms in lower urinary tract symptoms (LUTS) increased from 77.3%, 21.7%, and 18.8% to 91.9%, 27.5%, and 25.5%, respectively; those manifesting hematuria and urinary retention increased from 0.9% and 0.6% to 2.3% and 1.7%, respectively; those with a prostate specific antigen (PSA) > 4 ng/ml rose from 10.0% to 15.1%; patients with a maximum flow rate (Qmax) < 15 ml/s increased from 82.5% to 92.3%, and the proportion with a Qmax < 10 ml/s increased from 8.7% to 15.4%; the individuals with a prostate volume > 30 ml increased from 94.1% to 97.0%; the percentage of men with a bladder residual urine volume > 10 ml was augmented from 81.6% to 89.3%, and patients with prostate nodules on physical examination were elevated from 1.0% to 1.7%. We uncovered no prostate cancer in patients, and the proportion of patients administered the combination drug increased from 78.9% to 91.2%. Compared with patients receiving online or telephone consultations, patients undergoing reexamination at the hospital were better controlled. When we conducted a survey of whether patients chose to go to a public or private hospital for follow-up, we found that 46.6% of the patients chose to go to a private medical institution. Conclusions COVID-19 greatly affected the treatment of patients with BPH. When conditions permit, we recommend that patients first consider going to the hospital for evaluation; however, when this is not possible, medical institutions should provide telephone or online consultation for patients with BPH. Surgical treatment should also be arranged for those in need as soon as possible to avoid delaying the patient's treatment.
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Affiliation(s)
- Ke Ding
- Department of Urology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Rui Tang
- Department of Rheumatology and Immunology, Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - JiangFan Yu
- Department of Dermatology, Second Xiangya Hospital, Central South University, Changsha, Hunan, China
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23
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Vickman RE, Aaron-Brooks L, Zhang R, Lanman NA, Lapin B, Gil V, Greenberg M, Sasaki T, Cresswell GM, Broman MM, Paez JS, Petkewicz J, Talaty P, Helfand BT, Glaser AP, Wang CH, Franco OE, Ratliff TL, Nastiuk KL, Crawford SE, Hayward SW. TNF is a potential therapeutic target to suppress prostatic inflammation and hyperplasia in autoimmune disease. Nat Commun 2022; 13:2133. [PMID: 35440548 PMCID: PMC9018703 DOI: 10.1038/s41467-022-29719-1] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Accepted: 03/24/2022] [Indexed: 11/08/2022] Open
Abstract
Autoimmune (AI) diseases can affect many organs; however, the prostate has not been considered to be a primary target of these systemic inflammatory processes. Here, we utilize medical record data, patient samples, and in vivo models to evaluate the impact of inflammation, as seen in AI diseases, on prostate tissue. Human and mouse tissues are used to examine whether systemic targeting of inflammation limits prostatic inflammation and hyperplasia. Evaluation of 112,152 medical records indicates that benign prostatic hyperplasia (BPH) prevalence is significantly higher among patients with AI diseases. Furthermore, treating these patients with tumor necrosis factor (TNF)-antagonists significantly decreases BPH incidence. Single-cell RNA-seq and in vitro assays suggest that macrophage-derived TNF stimulates BPH-derived fibroblast proliferation. TNF blockade significantly reduces epithelial hyperplasia, NFκB activation, and macrophage-mediated inflammation within prostate tissues. Together, these studies show that patients with AI diseases have a heightened susceptibility to BPH and that reducing inflammation with a therapeutic agent can suppress BPH.
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Affiliation(s)
- Renee E Vickman
- Department of Surgery, NorthShore University HealthSystem, an Academic Affiliate of the University of Chicago Pritzker School of Medicine, Evanston, IL, 60201, USA
| | - LaTayia Aaron-Brooks
- Department of Surgery, NorthShore University HealthSystem, an Academic Affiliate of the University of Chicago Pritzker School of Medicine, Evanston, IL, 60201, USA
- Department of Cancer Biology, Meharry Medical College, Nashville, TN, 37208, USA
| | - Renyuan Zhang
- Department of Cancer Genetics and Genomics, Roswell Park Comprehensive Cancer Center, Buffalo, NY, 14263, USA
| | - Nadia A Lanman
- Department of Comparative Pathobiology, Purdue University, West Lafayette, IN, 47907, USA
- Purdue Center for Cancer Research, Purdue University, West Lafayette, IN, 47907, USA
| | - Brittany Lapin
- Biostatistics and Research Informatics, NorthShore University HealthSystem, Evanston, IL, 60201, USA
- Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, 44195, USA
| | - Victoria Gil
- Department of Surgery, NorthShore University HealthSystem, an Academic Affiliate of the University of Chicago Pritzker School of Medicine, Evanston, IL, 60201, USA
| | - Max Greenberg
- Department of Surgery, NorthShore University HealthSystem, an Academic Affiliate of the University of Chicago Pritzker School of Medicine, Evanston, IL, 60201, USA
| | - Takeshi Sasaki
- Department of Surgery, NorthShore University HealthSystem, an Academic Affiliate of the University of Chicago Pritzker School of Medicine, Evanston, IL, 60201, USA
- Department of Nephro-Urologic Surgery and Andrology, Mie University Graduate School of Medicine, Mie, Japan
| | - Gregory M Cresswell
- Department of Comparative Pathobiology, Purdue University, West Lafayette, IN, 47907, USA
- GW Cancer Center, The George Washington University, Washington, DC, 20052, USA
| | - Meaghan M Broman
- Department of Comparative Pathobiology, Purdue University, West Lafayette, IN, 47907, USA
| | - J Sebastian Paez
- Purdue Center for Cancer Research, Purdue University, West Lafayette, IN, 47907, USA
- Department of Medicinal Chemistry and Molecular Pharmacology, Purdue University, West Lafayette, IN, 47907, USA
| | - Jacqueline Petkewicz
- Department of Surgery, NorthShore University HealthSystem, an Academic Affiliate of the University of Chicago Pritzker School of Medicine, Evanston, IL, 60201, USA
| | - Pooja Talaty
- Department of Surgery, NorthShore University HealthSystem, an Academic Affiliate of the University of Chicago Pritzker School of Medicine, Evanston, IL, 60201, USA
| | - Brian T Helfand
- Department of Surgery, NorthShore University HealthSystem, an Academic Affiliate of the University of Chicago Pritzker School of Medicine, Evanston, IL, 60201, USA
| | - Alexander P Glaser
- Department of Surgery, NorthShore University HealthSystem, an Academic Affiliate of the University of Chicago Pritzker School of Medicine, Evanston, IL, 60201, USA
| | - Chi-Hsiung Wang
- Department of Surgery, NorthShore University HealthSystem, an Academic Affiliate of the University of Chicago Pritzker School of Medicine, Evanston, IL, 60201, USA
- Biostatistics and Research Informatics, NorthShore University HealthSystem, Evanston, IL, 60201, USA
| | - Omar E Franco
- Department of Surgery, NorthShore University HealthSystem, an Academic Affiliate of the University of Chicago Pritzker School of Medicine, Evanston, IL, 60201, USA
| | - Timothy L Ratliff
- Department of Comparative Pathobiology, Purdue University, West Lafayette, IN, 47907, USA
- Purdue Center for Cancer Research, Purdue University, West Lafayette, IN, 47907, USA
| | - Kent L Nastiuk
- Department of Cancer Genetics and Genomics, Roswell Park Comprehensive Cancer Center, Buffalo, NY, 14263, USA
- Department of Urology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, 14263, USA
| | - Susan E Crawford
- Department of Surgery, NorthShore University HealthSystem, an Academic Affiliate of the University of Chicago Pritzker School of Medicine, Evanston, IL, 60201, USA
| | - Simon W Hayward
- Department of Surgery, NorthShore University HealthSystem, an Academic Affiliate of the University of Chicago Pritzker School of Medicine, Evanston, IL, 60201, USA.
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24
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Wei C, Tian L, Jia B, Wang M, Xiong M, Hu B, Deng C, Hou Y, Hou T, Yang X, Chen Z. Association between Serum Triglycerides and Prostate Specific Antigen (PSA) among U.S. Males: National Health and Nutrition Examination Survey (NHANES), 2003-2010. Nutrients 2022; 14:nu14071325. [PMID: 35405939 PMCID: PMC9002993 DOI: 10.3390/nu14071325] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 03/10/2022] [Accepted: 03/21/2022] [Indexed: 01/10/2023] Open
Abstract
(1) Background: Increasing evidence indicates that lipid metabolism may influence the concentration of prostate-specific antigen (PSA). However, the association between triglycerides and PSA remains unclear and complicated. Hence, we evaluated the correlation between triglycerides and PSA based on the U.S. National Health and Nutrition Examination Survey (NHANES) database. (2) Methods: A total of 2910 participants out of 41,156 participants fit into our study after conducting the screening from the 2003 to 2010 NHANES survey. Serum triglycerides were the independent variable of our study, and PSA was the dependent variable; (3) Results: In our study, the average age of chosen participants was 59.7 years (±12.7). After adjusting for covariates, the result indicated that for each additional unit of serum triglyceride (mg/dL), the PSA concentrations were reduced by 0.0043 ng/mL (−0.0082, −0.0005) with a statistical difference. Furthermore, we used machine learning of the XGBoost model to determine the relative importance of selected variables as well as constructed a smooth curve based on the fully adjusted model to investigate the possible linear relationship between the triglyceride and PSA concentrations. (4) Conclusions: The serum triglyceride is independently and negatively correlated with PSA among American males, which may make it hard to detect asymptomatic prostate cancer and diagnose at an advance stage with higher triglycerides due to detection bias.
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Affiliation(s)
- Chengcheng Wei
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430074, China; (C.W.); (M.W.); (M.X.); (C.D.); (Y.H.); (T.H.); (X.Y.)
| | - Liang Tian
- Department of Urology, Wuhan Red Cross Hospital, Wuhan 430015, China;
| | - Bo Jia
- People’s Hospital of Dongxihu District, Wuhan 430040, China; (B.J.); (B.H.)
| | - Miao Wang
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430074, China; (C.W.); (M.W.); (M.X.); (C.D.); (Y.H.); (T.H.); (X.Y.)
| | - Ming Xiong
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430074, China; (C.W.); (M.W.); (M.X.); (C.D.); (Y.H.); (T.H.); (X.Y.)
| | - Bo Hu
- People’s Hospital of Dongxihu District, Wuhan 430040, China; (B.J.); (B.H.)
| | - Changqi Deng
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430074, China; (C.W.); (M.W.); (M.X.); (C.D.); (Y.H.); (T.H.); (X.Y.)
| | - Yaxin Hou
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430074, China; (C.W.); (M.W.); (M.X.); (C.D.); (Y.H.); (T.H.); (X.Y.)
| | - Teng Hou
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430074, China; (C.W.); (M.W.); (M.X.); (C.D.); (Y.H.); (T.H.); (X.Y.)
| | - Xiong Yang
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430074, China; (C.W.); (M.W.); (M.X.); (C.D.); (Y.H.); (T.H.); (X.Y.)
| | - Zhaohui Chen
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430074, China; (C.W.); (M.W.); (M.X.); (C.D.); (Y.H.); (T.H.); (X.Y.)
- Correspondence:
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25
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Jiang Y, Meyers TJ, Emeka AA, Cooley LF, Cooper PR, Lancki N, Helenowski I, Kachuri L, Lin DW, Stanford JL, Newcomb LF, Kolb S, Finelli A, Fleshner NE, Komisarenko M, Eastham JA, Ehdaie B, Benfante N, Logothetis CJ, Gregg JR, Perez CA, Garza S, Kim J, Marks LS, Delfin M, Barsa D, Vesprini D, Klotz LH, Loblaw A, Mamedov A, Goldenberg SL, Higano CS, Spillane M, Wu E, Carter HB, Pavlovich CP, Mamawala M, Landis T, Carroll PR, Chan JM, Cooperberg MR, Cowan JE, Morgan TM, Siddiqui J, Martin R, Klein EA, Brittain K, Gotwald P, Barocas DA, Dallmer JR, Gordetsky JB, Steele P, Kundu SD, Stockdale J, Roobol MJ, Venderbos LD, Sanda MG, Arnold R, Patil D, Evans CP, Dall’Era MA, Vij A, Costello AJ, Chow K, Corcoran NM, Rais-Bahrami S, Phares C, Scherr DS, Flynn T, Karnes RJ, Koch M, Dhondt CR, Nelson JB, McBride D, Cookson MS, Stratton KL, Farriester S, Hemken E, Stadler WM, Pera T, Banionyte D, Bianco FJ, Lopez IH, Loeb S, Taneja SS, Byrne N, Amling CL, Martinez A, Boileau L, Gaylis FD, Petkewicz J, Kirwen N, Helfand BT, Xu J, Scholtens DM, Catalona WJ, Witte JS. Genetic Factors Associated with Prostate Cancer Conversion from Active Surveillance to Treatment. HGG ADVANCES 2022; 3:100070. [PMID: 34993496 PMCID: PMC8725988 DOI: 10.1016/j.xhgg.2021.100070] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Accepted: 11/12/2021] [Indexed: 12/18/2022] Open
Abstract
Men diagnosed with low-risk prostate cancer (PC) are increasingly electing active surveillance (AS) as their initial management strategy. While this may reduce the side effects of treatment for prostate cancer, many men on AS eventually convert to active treatment. PC is one of the most heritable cancers, and genetic factors that predispose to aggressive tumors may help distinguish men who are more likely to discontinue AS. To investigate this, we undertook a multi-institutional genome-wide association study (GWAS) of 5,222 PC patients and 1,139 other patients from replication cohorts, all of whom initially elected AS and were followed over time for the potential outcome of conversion from AS to active treatment. In the GWAS we detected 18 variants associated with conversion, 15 of which were not previously associated with PC risk. With a transcriptome-wide association study (TWAS), we found two genes associated with conversion (MAST3, p = 6.9×10-7 and GAB2, p = 2.0×10-6). Moreover, increasing values of a previously validated 269-variant genetic risk score (GRS) for PC was positively associated with conversion (e.g., comparing the highest to the two middle deciles gave a hazard ratio [HR] = 1.13; 95% Confidence Interval [CI]= 0.94-1.36); whereas, decreasing values of a 36-variant GRS for prostate-specific antigen (PSA) levels were positively associated with conversion (e.g., comparing the lowest to the two middle deciles gave a HR = 1.25; 95% CI, 1.04-1.50). These results suggest that germline genetics may help inform and individualize the decision of AS-or the intensity of monitoring on AS-versus treatment for the initial management of patients with low-risk PC.
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Affiliation(s)
- Yu Jiang
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Travis J. Meyers
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Adaeze A. Emeka
- Department of Urology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Lauren Folgosa Cooley
- Department of Urology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Phillip R. Cooper
- Department of Urology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Nicola Lancki
- Division of Biostatistics, Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Irene Helenowski
- Division of Biostatistics, Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Linda Kachuri
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Daniel W. Lin
- Fred Hutchinson Cancer Research Center, Cancer Prevention Program, Public Health Sciences, Seattle, WA 98109, USA
- Department of Urology, University of Washington, Seattle, WA 98195, USA
| | - Janet L. Stanford
- Fred Hutchinson Cancer Research Center, Cancer Epidemiology Program, Public Health Sciences, Seattle, WA 98109, USA
- Department of Epidemiology, University of Washington, School of Public Health, Seattle, WA 98195, USA
| | - Lisa F. Newcomb
- Fred Hutchinson Cancer Research Center, Cancer Prevention Program, Public Health Sciences, Seattle, WA 98109, USA
- Department of Urology, University of Washington, Seattle, WA 98195, USA
| | - Suzanne Kolb
- Fred Hutchinson Cancer Research Center, Cancer Epidemiology Program, Public Health Sciences, Seattle, WA 98109, USA
- Department of Epidemiology, University of Washington, School of Public Health, Seattle, WA 98195, USA
| | - Antonio Finelli
- Division of Urology, Department of Surgery, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Neil E. Fleshner
- Division of Urology, Department of Surgery, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Maria Komisarenko
- Division of Urology, Department of Surgery, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - James A. Eastham
- Urology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Behfar Ehdaie
- Urology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Nicole Benfante
- Urology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Christopher J. Logothetis
- Departments of Genitourinary Medical Oncology and Urology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Justin R. Gregg
- Departments of Genitourinary Medical Oncology and Urology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Cherie A. Perez
- Departments of Genitourinary Medical Oncology and Urology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Sergio Garza
- Departments of Genitourinary Medical Oncology and Urology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jeri Kim
- Departments of Genitourinary Medical Oncology and Urology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Leonard S. Marks
- Department of Urology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Merdie Delfin
- Department of Urology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Danielle Barsa
- Department of Urology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Danny Vesprini
- Odette Cancer Centre, Sunnybrook Health and Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Laurence H. Klotz
- Odette Cancer Centre, Sunnybrook Health and Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Andrew Loblaw
- Odette Cancer Centre, Sunnybrook Health and Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Alexandre Mamedov
- Odette Cancer Centre, Sunnybrook Health and Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - S. Larry Goldenberg
- Department of Urologic Sciences, University of British Columbia, Vancouver, BC, Canada
| | - Celestia S. Higano
- Department of Urologic Sciences, University of British Columbia, Vancouver, BC, Canada
| | - Maria Spillane
- Department of Urologic Sciences, University of British Columbia, Vancouver, BC, Canada
| | - Eugenia Wu
- Department of Urologic Sciences, University of British Columbia, Vancouver, BC, Canada
| | - H. Ballentine Carter
- Brady Urological Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Christian P. Pavlovich
- Brady Urological Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Mufaddal Mamawala
- Brady Urological Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Tricia Landis
- Brady Urological Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Peter R. Carroll
- Department of Urology, University of California, San Francisco, San Francisco, CA, USA
| | - June M. Chan
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA 94158, USA
- Department of Urology, University of California, San Francisco, San Francisco, CA, USA
| | - Matthew R. Cooperberg
- Department of Urology, University of California, San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
| | - Janet E. Cowan
- Department of Urology, University of California, San Francisco, San Francisco, CA, USA
| | - Todd M. Morgan
- Department of Urology, University of Michigan, Ann Arbor, MI, USA
| | - Javed Siddiqui
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Rabia Martin
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Eric A. Klein
- Glickman Urological and Kidney Institute, Cleveland Clinic Lerner College of Medicine, Cleveland Clinic, Cleveland, OH, USA
| | - Karen Brittain
- Glickman Urological and Kidney Institute, Cleveland Clinic Lerner College of Medicine, Cleveland Clinic, Cleveland, OH, USA
| | - Paige Gotwald
- Glickman Urological and Kidney Institute, Cleveland Clinic Lerner College of Medicine, Cleveland Clinic, Cleveland, OH, USA
| | - Daniel A. Barocas
- Department of Urology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jeremiah R. Dallmer
- Department of Urology, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Urology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Jennifer B. Gordetsky
- Department of Urology, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Pam Steele
- Department of Urology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Shilajit D. Kundu
- Department of Urology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Jazmine Stockdale
- Department of Urology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Monique J. Roobol
- Department of Urology, Erasmus Cancer Institute, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Lionne D.F. Venderbos
- Department of Urology, Erasmus Cancer Institute, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Martin G. Sanda
- Department of Urology, Emory University School of Medicine, Atlanta, GA, USA
| | - Rebecca Arnold
- Department of Urology, Emory University School of Medicine, Atlanta, GA, USA
| | - Dattatraya Patil
- Department of Urology, Emory University School of Medicine, Atlanta, GA, USA
| | - Christopher P. Evans
- Department of Urologic Surgery, University of California, Davis Medical Center, Sacramento, CA, USA
| | - Marc A. Dall’Era
- Department of Urologic Surgery, University of California, Davis Medical Center, Sacramento, CA, USA
| | - Anjali Vij
- Department of Urologic Surgery, University of California, Davis Medical Center, Sacramento, CA, USA
| | - Anthony J. Costello
- Department of Urology, Royal Melbourne Hospital and University of Melbourne, Melbourne, VIC, Australia
| | - Ken Chow
- Department of Urology, Royal Melbourne Hospital and University of Melbourne, Melbourne, VIC, Australia
| | - Niall M. Corcoran
- Department of Urology, Royal Melbourne Hospital and University of Melbourne, Melbourne, VIC, Australia
| | - Soroush Rais-Bahrami
- Department of Urology, University of Alabama at Birmingham, Birmingham, AL, USA
- Department of Radiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Courtney Phares
- Department of Urology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Douglas S. Scherr
- Department of Urology, Weill Cornell Medicine, New York-Presbyterian Hospital, New York, NY, USA
| | - Thomas Flynn
- Department of Urology, Weill Cornell Medicine, New York-Presbyterian Hospital, New York, NY, USA
| | | | - Michael Koch
- Department of Urology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Courtney Rose Dhondt
- Department of Urology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Joel B. Nelson
- Department of Urology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Dawn McBride
- Department of Urology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Michael S. Cookson
- Department of Urology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Kelly L. Stratton
- Department of Urology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Stephen Farriester
- Department of Urology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Erin Hemken
- Department of Urology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | | | - Tuula Pera
- University of Chicago Comprehensive Cancer Center, Chicago, IL, USA
| | | | | | | | - Stacy Loeb
- Departments of Urology and Population Health, New York University Langone Health and Manhattan Veterans Affairs Medical Center, New York, NY, USA
| | - Samir S. Taneja
- Departments of Urology and Population Health, New York University Langone Health and Manhattan Veterans Affairs Medical Center, New York, NY, USA
| | - Nataliya Byrne
- Departments of Urology and Population Health, New York University Langone Health and Manhattan Veterans Affairs Medical Center, New York, NY, USA
| | | | - Ann Martinez
- Department of Urology, Oregon Health and Science University, Portland, OR, USA
| | - Luc Boileau
- Department of Urology, Oregon Health and Science University, Portland, OR, USA
| | - Franklin D. Gaylis
- Genesis Healthcare Partners, Department of Urology, University of California, San Diego, CA, USA
| | | | - Nicholas Kirwen
- Division of Urology, NorthShore University Health System, Evanston, IL, USA
| | - Brian T. Helfand
- Division of Urology, NorthShore University Health System, Evanston, IL, USA
| | - Jianfeng Xu
- Division of Urology, NorthShore University Health System, Evanston, IL, USA
| | - Denise M. Scholtens
- Division of Biostatistics, Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - William J. Catalona
- Department of Urology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - John S. Witte
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA 94158, USA
- Department of Urology, University of California, San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
- Departments of Epidemiology and Population Health, Biomedical Data Science, and Genetics, Stanford University, Stanford, CA, USA
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26
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Karunasinghe N, Minas TZ, Bao BY, Lee A, Wang A, Zhu S, Masters J, Goudie M, Huang SP, Jenkins FJ, Ferguson LR. Assessment of factors associated with PSA level in prostate cancer cases and controls from three geographical regions. Sci Rep 2022; 12:55. [PMID: 34997089 PMCID: PMC8742081 DOI: 10.1038/s41598-021-04116-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Accepted: 12/15/2021] [Indexed: 11/22/2022] Open
Abstract
It is being debated whether prostate-specific antigen (PSA)-based screening effectively reduces prostate cancer mortality. Some of the uncertainty could be related to deficiencies in the age-based PSA cut-off thresholds used in screening. Current study considered 2779 men with prostate cancer and 1606 men without a cancer diagnosis, recruited for various studies in New Zealand, US, and Taiwan. Association of PSA with demographic, lifestyle, clinical characteristics (for cases), and the aldo–keto reductase 1C3 (AKR1C3) rs12529 genetic polymorphisms were analysed using multiple linear regression and univariate modelling. Pooled multivariable analysis of cases showed that PSA was significantly associated with demographic, lifestyle, and clinical data with an interaction between ethnicity and age further modifying the association. Pooled multivariable analysis of controls data also showed that demographic and lifestyle are significantly associated with PSA level. Independent case and control analyses indicated that factors associated with PSA were specific for each cohort. Univariate analyses showed a significant age and PSA correlation among all cases and controls except for the US-European cases while genetic stratification in cases showed variability of correlation. Data suggests that unique PSA cut-off thresholds factorized with demographics, lifestyle and genetics may be more appropriate for prostate cancer screening.
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Affiliation(s)
- Nishi Karunasinghe
- Auckland Cancer Society Research Centre, Faculty of Medical and Health Sciences (FMHS), University of Auckland, Private Bag 92019, Auckland, New Zealand.
| | - Tsion Zewdu Minas
- Molecular Epidemiology Section, Laboratory of Human Carcinogenesis, National Cancer Institute, NIH, Bethesda, MD, 20892, USA
| | - Bo-Ying Bao
- Department of Pharmacy, China Medical University, Taichung, 404, Taiwan
| | - Arier Lee
- Section of Epidemiology and Biostatistics, School of Population Health, University of Auckland, Private Bag 92019, Auckland, New Zealand
| | - Alice Wang
- Auckland Cancer Society Research Centre, Faculty of Medical and Health Sciences (FMHS), University of Auckland, Private Bag 92019, Auckland, New Zealand
| | - Shuotun Zhu
- Auckland Cancer Society Research Centre, Faculty of Medical and Health Sciences (FMHS), University of Auckland, Private Bag 92019, Auckland, New Zealand
| | | | - Megan Goudie
- Urology Department, Auckland City Hospital, Auckland, New Zealand
| | - Shu-Pin Huang
- Department of Urology, Kaohsiung Medical University Hospital, Kaohsiung, 807, Taiwan.,Center for Cancer Research, Kaohsiung Medical University, Kaohsiung, 807, Taiwan
| | - Frank J Jenkins
- Infectious Diseases and Microbiology and Clinical and Translational Science Institute, The University of Pittsburgh Medical Center, Hillman Cancer Center, Pittsburgh, PA, USA
| | - Lynnette R Ferguson
- Emeritus Professor, FMHS, University of Auckland, Private Bag 92019, Auckland, New Zealand
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27
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Mikaelsdottir E, Thorleifsson G, Stefansdottir L, Halldorsson G, Sigurdsson JK, Lund SH, Tragante V, Melsted P, Rognvaldsson S, Norland K, Helgadottir A, Magnusson MK, Ragnarsson GB, Kristinsson SY, Reykdal S, Vidarsson B, Gudmundsdottir IJ, Olafsson I, Onundarson PT, Sigurdardottir O, Sigurdsson EL, Grondal G, Geirsson AJ, Geirsson G, Gudmundsson J, Holm H, Saevarsdottir S, Jonsdottir I, Thorgeirsson G, Gudbjartsson DF, Thorsteinsdottir U, Rafnar T, Stefansson K. Genetic variants associated with platelet count are predictive of human disease and physiological markers. Commun Biol 2021; 4:1132. [PMID: 34580418 PMCID: PMC8476563 DOI: 10.1038/s42003-021-02642-9] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Accepted: 09/07/2021] [Indexed: 12/13/2022] Open
Abstract
Platelets play an important role in hemostasis and other aspects of vascular biology. We conducted a meta-analysis of platelet count GWAS using data on 536,974 Europeans and identified 577 independent associations. To search for mechanisms through which these variants affect platelets, we applied cis-expression quantitative trait locus, DEPICT and IPA analyses and assessed genetic sharing between platelet count and various traits using polygenic risk scoring. We found genetic sharing between platelet count and counts of other blood cells (except red blood cells), in addition to several other quantitative traits, including markers of cardiovascular, liver and kidney functions, height, and weight. Platelet count polygenic risk score was predictive of myeloproliferative neoplasms, rheumatoid arthritis, ankylosing spondylitis, hypertension, and benign prostate hyperplasia. Taken together, these results advance understanding of diverse aspects of platelet biology and how they affect biological processes in health and disease. Evgenia Mikaelsdottir et al. report a study of variants associated with platelet count among European individuals where they identify 577 associations. They also report a genetic overlap between platelet count and human diseases, including myeloproliferative neoplasms, rheumatoid arthritis, and hypertension, as well as a genetic overlap between platelet count and various physiological markers.
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Affiliation(s)
| | | | | | | | | | - Sigrun H Lund
- deCODE Genetics/Amgen, Sturlugata 8, 101, Reykjavik, Iceland
| | | | - Pall Melsted
- deCODE Genetics/Amgen, Sturlugata 8, 101, Reykjavik, Iceland.,School of Engineering and Natural Sciences, University of Iceland, Reykjavik, Iceland
| | | | | | | | - Magnus K Magnusson
- deCODE Genetics/Amgen, Sturlugata 8, 101, Reykjavik, Iceland.,Faculty of Medicine, University of Iceland, 101, Reykjavik, Iceland
| | - Gunnar B Ragnarsson
- Department of Oncology, Landspitali-University Hospital, 101, Reykjavik, Iceland
| | - Sigurdur Y Kristinsson
- Faculty of Medicine, University of Iceland, 101, Reykjavik, Iceland.,Department of Hematology, Landspitali-University Hospital, 101, Reykjavik, Iceland
| | - Sigrun Reykdal
- Department of Hematology, Landspitali-University Hospital, 101, Reykjavik, Iceland
| | - Brynjar Vidarsson
- Department of Hematology, Landspitali-University Hospital, 101, Reykjavik, Iceland
| | | | - Isleifur Olafsson
- Department of Clinical Biochemistry, Landspitali-University Hospital, 101, Reykjavik, Iceland
| | - Pall T Onundarson
- Faculty of Medicine, University of Iceland, 101, Reykjavik, Iceland.,Laboratory Hematology, Landspitali-University Hospital, 101, Reykjavik, Iceland
| | - Olof Sigurdardottir
- Department of Clinical Biochemistry, Akureyri Hospital, 600, Akureyri, Iceland
| | | | - Gerdur Grondal
- Department of Rheumatology, Landspitali-University Hospital, 101, Reykjavik, Iceland
| | - Arni J Geirsson
- Department of Rheumatology, Landspitali-University Hospital, 101, Reykjavik, Iceland
| | - Gudmundur Geirsson
- Department of Urology, Landspitali-University Hospital, 101, Reykjavik, Iceland
| | | | - Hilma Holm
- deCODE Genetics/Amgen, Sturlugata 8, 101, Reykjavik, Iceland
| | - Saedis Saevarsdottir
- deCODE Genetics/Amgen, Sturlugata 8, 101, Reykjavik, Iceland.,Faculty of Medicine, University of Iceland, 101, Reykjavik, Iceland.,Department of Rheumatology, Landspitali-University Hospital, 101, Reykjavik, Iceland
| | - Ingileif Jonsdottir
- deCODE Genetics/Amgen, Sturlugata 8, 101, Reykjavik, Iceland.,Faculty of Medicine, University of Iceland, 101, Reykjavik, Iceland
| | - Gudmundur Thorgeirsson
- deCODE Genetics/Amgen, Sturlugata 8, 101, Reykjavik, Iceland.,Department of Cardiology, Landspitali-University Hospital, 101, Reykjavik, Iceland
| | - Daniel F Gudbjartsson
- deCODE Genetics/Amgen, Sturlugata 8, 101, Reykjavik, Iceland.,School of Engineering and Natural Sciences, University of Iceland, Reykjavik, Iceland
| | - Unnur Thorsteinsdottir
- deCODE Genetics/Amgen, Sturlugata 8, 101, Reykjavik, Iceland.,Faculty of Medicine, University of Iceland, 101, Reykjavik, Iceland
| | - Thorunn Rafnar
- deCODE Genetics/Amgen, Sturlugata 8, 101, Reykjavik, Iceland
| | - Kari Stefansson
- deCODE Genetics/Amgen, Sturlugata 8, 101, Reykjavik, Iceland. .,Faculty of Medicine, University of Iceland, 101, Reykjavik, Iceland.
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28
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Huang D, Ruan X, Wu Y, Lin X, Huang J, Ye D, Gao Y, Ding Q, Xu D, Na R. Genetic polymorphisms at 19q13.33 are associated with [-2]proPSA (p2PSA) levels and provide additional predictive value to prostate health index for prostate cancer. Prostate 2021; 81:971-982. [PMID: 34254325 PMCID: PMC8456816 DOI: 10.1002/pros.24192] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/27/2020] [Accepted: 06/29/2021] [Indexed: 11/18/2022]
Abstract
BACKGROUND Prostate health index (phi), a derivative of [-2]proPSA (p2PSA), has shown better accuracy than prostate-specific antigen (PSA) in prostate cancer (PCa) detection. The present study was to investigate whether previously identified PSA-associated single nucleotide polymorphisms (SNPs) influence p2PSA or phi levels and lead to potential clinical utility. METHODS We conducted an observational prospective study with 2268 consecutive patients who underwent prostate biopsy in three tertiary medical centers from August 2013 to March 2019. Genotyping data of the 46 candidate genes with a ± 100 kb window were tested for association with p2PSA and phi levels using linear regression. Multivariable logistic regression models were performed and internally validated using repeated tenfold cross-validation. We further calculated personalized phi cutoff values based on the significant genotypes. Discriminative performance was assessed using decision curve analysis and net reclassification improvement (NRI) index. RESULTS We detected 11 significant variants at 19q13.33 which were p2PSA-associated independent of PCa. The most significant SNP, rs198978 in KLK2 (Pcombined = 5.73 × 10-9 ), was also associated with phi values (Pcombined = 3.20 × 10-6 ). Compared to the two commonly used phi cutoffs of 27.0 and 36.0, the personalized phi cutoffs had a significant NRI for PCa ranged from 5.23% to 9.70% among men carrying variant types (all p < .01). CONCLUSION Rs198978, is independently associated with p2PSA values, and can improve the diagnostic ability of phi for PCa using personalized cutoff values.
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Affiliation(s)
- Da Huang
- Department of Urology, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Xiaohao Ruan
- Department of Urology, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Yishuo Wu
- Department of Urology, Huashan HospitalFudan UniversityShanghaiChina
| | - Xiaoling Lin
- Department of Urology, Huashan HospitalFudan UniversityShanghaiChina
| | - Jingyi Huang
- Department of Urology, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Dingwei Ye
- Department of Urology, Shanghai Cancer CenterFudan UniversityShanghaiChina
| | - Yi Gao
- Department of Urology, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Qiang Ding
- Shanghai Medical CollegeFudan UniversityShanghaiChina
| | - Danfeng Xu
- Department of Urology, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Rong Na
- Department of Urology, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
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29
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Shah A, Shah AA, K N, Lobo R. Mechanistic targets for BPH and prostate cancer-a review. REVIEWS ON ENVIRONMENTAL HEALTH 2021; 36:261-270. [PMID: 32960781 DOI: 10.1515/reveh-2020-0051] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Accepted: 09/02/2020] [Indexed: 05/26/2023]
Abstract
All men, almost, suffer from prostatic disorders in average life expectancy. In the year of 1950s, the first autopsy of prostate gland discovered the link between Benign prostatic hyperplasia (BPH) and Prostate Cancer (PCa). After that, many histology, biochemistry, epidemiology studies explained the association and associated risk factor for the same. From the various scientific evidence, it is proved that both diseases share some common transcription factors and signalling pathways. Still, BPH cannot be considered as the first step of PCa progression. To define, the relationship between both of the diseases, a well-defined large epidemiological study is needed. Along with androgen signalling, imbalanced apoptosis, oxidative stress, and microbial infection also crucial factors that significantly affect the pathogenesis of BPH. Various signalling pathways are involved in the progression of BPH. Androgen signalling is the driving force for the progress of PCa. In PCa androgen signalling is upregulated as compared to a healthy prostate. Some dominant Androgen-regulated genes and their functions have been discussed in this work.
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Affiliation(s)
- Abhishek Shah
- Department of Pharmacognosy, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, India
| | - Aarti Abhishek Shah
- Department of Pharmacology, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, India
| | - Nandakumar K
- Department of Pharmacology, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, India
| | - Richard Lobo
- Department of Pharmacognosy, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, India
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Gu M, Liu C, Yang T, Zhan M, Cai Z, Chen Y, Chen Q, Wang Z. High-Fat Diet Induced Gut Microbiota Alterations Associating With Ghrelin/Jak2/Stat3 Up-Regulation to Promote Benign Prostatic Hyperplasia Development. Front Cell Dev Biol 2021; 9:615928. [PMID: 34249898 PMCID: PMC8264431 DOI: 10.3389/fcell.2021.615928] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2020] [Accepted: 04/16/2021] [Indexed: 12/28/2022] Open
Abstract
The role of high-fat diet (HFD) induced gut microbiota alteration and Ghrelin as well as their correlation in benign prostatic hyperplasia (BPH) were explored in our study. The gut microbiota was analyzed by 16s rRNA sequencing. Ghrelin levels in serum, along with Ghrelin and Ghrelin receptor in prostate tissue of mice and patients with BPH were measured. The effect of Ghrelin on cell proliferation, apoptosis, and induction of BPH in mice was explored. Our results indicated that BPH mice have the highest ratio of Firmicutes and Bacteroidetes induced by HFD, as well as Ghrelin level in serum and prostate tissue was significantly increased compared with control. Elevated Ghrelin content in the serum and prostate tissue of BPH patients was also observed. Ghrelin promotes cell proliferation while inhibiting cell apoptosis of prostate cells. The effect of Ghrelin on enlargement of the prostate was found almost equivalent to that of testosterone propionate (TP) which may be attenuated by Ghrelin receptor antagonist YIL-781. Ghrelin could up-regulate Jak2/pJak2/Stat3/pStat3 expression in vitro and in vivo. Our results suggested that Gut microbiota may associate with Ghrelin which plays an important role in activation of Jak2/Stat3 in BPH development. Gut microbiota and Ghrelin might be pathogenic factors for BPH and could be used as a target for mediation.
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Affiliation(s)
- Meng Gu
- Department of Urology, Shanghai Ninth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chong Liu
- Department of Urology, Shanghai Ninth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - TianYe Yang
- Department of Emergency, Shanghai Ninth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ming Zhan
- Department of Urology, Shanghai Ninth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhikang Cai
- Department of Urology, Shanghai Ninth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yanbo Chen
- Department of Urology, Shanghai Ninth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qi Chen
- Department of Urology, Shanghai Ninth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhong Wang
- Department of Urology, Shanghai Ninth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Li W, Klein RJ. Genome-wide association study identifies a role for the progesterone receptor in benign prostatic hyperplasia risk. Prostate Cancer Prostatic Dis 2021; 24:492-498. [PMID: 33219367 DOI: 10.1038/s41391-020-00303-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Revised: 10/26/2020] [Accepted: 11/05/2020] [Indexed: 11/08/2022]
Abstract
BACKGROUND Benign prostatic hyperplasia (BPH) is common noncancerous prostate enlargement, which is usually associated with lower urinary tract symptoms (LUTS) and can lead to complex urinary, bladder, or kidney diseases. The majority of elderly men will be affected by BPH as age increases. METHODS Here, we conducted a genome-wide association study (GWAS) of BPH using 1942 cases and 4730 controls from the Electronic Medical Records and Genomics network (eMERGE) as discovery cohort. We then used 5109 cases and 161,911 controls from UK Biobank as validation cohort. RESULTS This GWAS discovered 35 genome-wide significant variants (P < 5 × 10-8), located at 22 different loci in discovery cohort. We validated four significant variants located at four different loci in validation cohort: rs8027714 at 15q11.2, rs8136152 at 22q13.2, rs10192133 at 2q24.2, and rs1237696 at 11q22.1. rs1237696 is an intronic variant on chromosome 11 in the progesterone receptor (PGR) gene (P = 4.21 ×10-8, OR [95% CI] = 1.36 [1.22-1.52]). PGR is a known drug target for BPH as the PGR agonist gestonorone caproate has been used to treat BPH in multiple countries. CONCLUSIONS Our results suggest that genetic variants identified from BPH GWAS can identify pharmacologic targets for BPH treatment.
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Affiliation(s)
- Weiqiang Li
- Icahn Institute for Data Science and Genomic Technology and Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Robert J Klein
- Icahn Institute for Data Science and Genomic Technology and Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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Christiansen MK, Winther S, Nissen L, Vilhjálmsson BJ, Frost L, Johansen JK, Møller PL, Schmidt SE, Westra J, Holm NR, Jensen HK, Christiansen EH, Guðbjartsson DF, Hólm H, Stefánsson K, Bøtker HE, Bøttcher M, Nyegaard M. Polygenic Risk Score-Enhanced Risk Stratification of Coronary Artery Disease in Patients With Stable Chest Pain. CIRCULATION-GENOMIC AND PRECISION MEDICINE 2021; 14:e003298. [PMID: 34032468 DOI: 10.1161/circgen.120.003298] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Polygenic risk scores (PRSs) are associated with coronary artery disease (CAD), but the clinical potential of using PRSs at the single-patient level for risk stratification has yet to be established. We investigated whether adding a PRS to clinical risk factors (CRFs) improves risk stratification in patients referred to coronary computed tomography angiography on a suspicion of obstructive CAD. METHODS In this prespecified diagnostic substudy of the Dan-NICAD trial (Danish study of Non-Invasive testing in Coronary Artery Disease), we included 1617 consecutive patients with stable chest symptoms and no history of CAD referred for coronary computed tomography angiography. CRFs used for risk stratification were age, sex, symptoms, prior or active smoking, antihypertensive treatment, lipid-lowering treatment, and diabetes. In addition, patients were genotyped, and their PRSs were calculated. All patients underwent coronary computed tomography angiography. Patients with a suspected ≥50% stenosis also underwent invasive coronary angiography with fractional flow reserve. A combined end point of obstructive CAD was defined as a visual invasive coronary angiography stenosis >90%, fractional flow reserve <0.80, or a quantitative coronary analysis stenosis >50% if fractional flow reserve measurements were not feasible. RESULTS The PRS was associated with obstructive CAD independent of CRFs (adjusted odds ratio, 1.8 [95% CI, 1.5-2.2] per SD). The PRS had an area under the curve of 0.63 (0.59-0.68), which was similar to that for age and sex. Combining the PRS with CRFs led to a CRF+PRS model with area under the curve of 0.75 (0.71-0.79), which was 0.04 more than the CRF model (P=0.0029). By using pretest probability (pretest probability) cutoffs at 5% and 15%, a net reclassification improvement of 15.8% (P=3.1×10-4) was obtained, with a down-classification of risk in 24% of patients (211 of 862) in whom the pretest probability was 5% to 15% based on CRFs alone. CONCLUSIONS Adding a PRS improved risk stratification of obstructive CAD beyond CRFs, suggesting a modest clinical potential of using PRSs to guide diagnostic testing in the contemporary clinical setting. Registration: URL: https://www.clinicaltrials.gov; Unique identifier: NCT02264717.
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Affiliation(s)
- Morten Krogh Christiansen
- Department of Cardiology (M.K.C., J.W., N.R.H., H.K.J., E.H.C., H.E.B.), Aarhus University Hospital, Denmark.,Department of Internal Medicine, Horsens Regional Hospital, Denmark (M.K.C.)
| | - Simon Winther
- Department of Cardiology (S.W., M.B.), Hospital Unit West, Herning, Denmark
| | - Louise Nissen
- Department of Radiology (L.N.), Hospital Unit West, Herning, Denmark
| | | | - Lars Frost
- Department of Cardiology, Silkeborg Regional Hospital, Denmark (L.F., J.K.J.)
| | - Jane Kirk Johansen
- Department of Cardiology, Silkeborg Regional Hospital, Denmark (L.F., J.K.J.)
| | - Peter Loof Møller
- Department of Biomedicine (P.L.M., M.N.), Aarhus University, Denmark
| | - Samuel Emil Schmidt
- Department of Health Science and Technology, Aalborg University, Denmark (S.E.S., M.N.)
| | - Jelmer Westra
- Department of Cardiology (M.K.C., J.W., N.R.H., H.K.J., E.H.C., H.E.B.), Aarhus University Hospital, Denmark
| | - Niels Ramsing Holm
- Department of Cardiology (M.K.C., J.W., N.R.H., H.K.J., E.H.C., H.E.B.), Aarhus University Hospital, Denmark
| | - Henrik Kjærulf Jensen
- Department of Cardiology (M.K.C., J.W., N.R.H., H.K.J., E.H.C., H.E.B.), Aarhus University Hospital, Denmark.,Department of Clinical Medicine, Faculty of Health (H.K.J., H.E.B.), Aarhus University, Denmark
| | - Evald Høj Christiansen
- Department of Cardiology (M.K.C., J.W., N.R.H., H.K.J., E.H.C., H.E.B.), Aarhus University Hospital, Denmark
| | | | - Hilma Hólm
- deCODE Genetics/Amgen, Inc, Reykjavik, Iceland (D.F.G., H.H., K.S.)
| | - Kári Stefánsson
- deCODE Genetics/Amgen, Inc, Reykjavik, Iceland (D.F.G., H.H., K.S.)
| | - Hans Erik Bøtker
- Department of Cardiology (M.K.C., J.W., N.R.H., H.K.J., E.H.C., H.E.B.), Aarhus University Hospital, Denmark.,Department of Clinical Medicine, Faculty of Health (H.K.J., H.E.B.), Aarhus University, Denmark
| | - Morten Bøttcher
- Department of Cardiology (S.W., M.B.), Hospital Unit West, Herning, Denmark
| | - Mette Nyegaard
- Department of Clinical Genetics (M.N.), Aarhus University Hospital, Denmark.,Department of Biomedicine (P.L.M., M.N.), Aarhus University, Denmark.,Department of Health Science and Technology, Aalborg University, Denmark (S.E.S., M.N.)
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Zhang J, Wang Y, Li S, Jin S, Zhang S, Zhao C, Yang W, Cui S, Liu Y. Efficacy and Safety Evaluation of Transurethral Resection of the Prostate versus Plasmakinetic Enucleation of the Prostate in the Treatment of Massive Benign Prostatic Hyperplasia. Urol Int 2021; 105:735-742. [PMID: 33524981 DOI: 10.1159/000511116] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2020] [Accepted: 03/02/2020] [Indexed: 11/19/2022]
Abstract
BACKGROUND Benign prostatic hyperplasia (BPH) is a common chronic progressive disease resulting in urinary obstruction in aging men. It comes to more and more patients with massive BPH with the aging of society and extension of life expectancy. OBJECTIVE The aim of the study was to compare the clinical efficacy, safety, and complications between transurethral bipolar plasmakinetic enucleation of the prostate (PKEP) and transurethral resection of the prostate (TURP) in the treatment of massive BPH. DESIGN AND SETTING Patients with BPH were divided into the PKEP group and the TURP group randomly. Intraoperative blood loss (BL), operation time (OT), resected tissue weight (RTW), gland resection ratio (GRR), postoperative indwelling ureter time (IUT), bladder fistula time (BFT) and hospital stay time (HST), preoperative and postoperative serum sodium concentration (SSC), hemoglobin concentration (HGB), prostate weight (PW), postvoid residual (PVR), maximum urinary flow rate (Qmax), international prostate symptom score (IPSS), quality of life (QOL), International Index of Erectile Function (IIEF), and other complications were analyzed and compared respectively. RESULTS There was no statistical difference in preoperative IPSS, preoperative QOL score, preoperative PVR, preoperative Qmax, postoperative QOL score, postoperative PVR, postoperative Qmax, IPSS difference value (DV), Qmax DV, and PVR DV between the PKEP group and the TURP group (p > 0.05). OT, BL, IUT, BFT, HST, and postoperative IPSS in the PKEP group were significantly lower than that in the TURP group (p < 0.01). RTW and GRR in the PKEP group were significantly higher than that in the TURP group (p < 0.01). QOL DV in the PKEP group was higher than that in the TURP group (p < 0.05). There was statistical difference in SSC DV between the PKEP group and the TURP group (p < 0.05). There was significant statistical difference in postoperative PW, postoperative HGB, PW DV, and HGB DV between the PKEP group and the TURP group (p < 0.01). There was significant statistical difference in IPSS, QOL, PVR, and Qmax between postoperative value and preoperative value in both groups (p < 0.01). The incidence of transurethral resection syndrome, obturator nerve reflex, transient urinary incontinence, and retrograde ejaculation between the PKEP group and the TURP group has no statistical difference (p > 0.05). Capsule perforation, blood transfusion, secondary hemorrhage, bladder neck contracture, and urethral stricture in the PKEP group were lower than that in the TURP group (p < 0.05). Bladder spasm in the PKEP group was significantly lower than that in the TURP group (p < 0.01). There was no statistical difference in preoperative and postoperative IIEF-5, effective erectile frequency, telotism average tension, sustainable telotism average time, and sexual dissatisfaction between the PKEP group and the TURP group (p > 0.05). CONCLUSIONS PKEP and TURP have similar clinical efficacy in the treatment of massive BPH. PKEP has advantages in shorter OT, less BL, more GRR, and fewer complications, but the long-term therapeutic effect of PKEP needs further follow-up.
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Affiliation(s)
- Jian Zhang
- Department of Urology, Beijing Geriatric Hospital, Beijing, China,
| | - Yonghui Wang
- Department of Urology, Beijing TongRen Hospital, Capital Medical University, Beijing, China
| | - Shuang Li
- Department of Urology, Beijing TongRen Hospital, Capital Medical University, Beijing, China
| | - Shipeng Jin
- Department of Urology, Beijing TongRen Hospital, Capital Medical University, Beijing, China
| | - Shiqing Zhang
- Department of Urology, Beijing Geriatric Hospital, Beijing, China
| | - Chunli Zhao
- Department of Urology, Affiliated Hospital of Hebei University, Baoding, China
| | - Wenzeng Yang
- Department of Urology, Affiliated Hospital of Hebei University, Baoding, China
| | - Shujin Cui
- Department of Urology, Beijing Luhe Hospital, Capital Medical University, Beijing, China
| | - Yuexin Liu
- Department of Urology, Beijing TongRen Hospital, Capital Medical University, Beijing, China
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Tao H, Li H, Xu K, Hong H, Jiang S, Du G, Wang J, Sun Y, Huang X, Ding Y, Li F, Zheng X, Chen H, Bo X. Computational methods for the prediction of chromatin interaction and organization using sequence and epigenomic profiles. Brief Bioinform 2021; 22:6102668. [PMID: 33454752 PMCID: PMC8424394 DOI: 10.1093/bib/bbaa405] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Revised: 11/26/2020] [Accepted: 12/10/2020] [Indexed: 12/14/2022] Open
Abstract
The exploration of three-dimensional chromatin interaction and organization provides insight into mechanisms underlying gene regulation, cell differentiation and disease development. Advances in chromosome conformation capture technologies, such as high-throughput chromosome conformation capture (Hi-C) and chromatin interaction analysis by paired-end tag (ChIA-PET), have enabled the exploration of chromatin interaction and organization. However, high-resolution Hi-C and ChIA-PET data are only available for a limited number of cell lines, and their acquisition is costly, time consuming, laborious and affected by theoretical limitations. Increasing evidence shows that DNA sequence and epigenomic features are informative predictors of regulatory interaction and chromatin architecture. Based on these features, numerous computational methods have been developed for the prediction of chromatin interaction and organization, whereas they are not extensively applied in biomedical study. A systematical study to summarize and evaluate such methods is still needed to facilitate their application. Here, we summarize 48 computational methods for the prediction of chromatin interaction and organization using sequence and epigenomic profiles, categorize them and compare their performance. Besides, we provide a comprehensive guideline for the selection of suitable methods to predict chromatin interaction and organization based on available data and biological question of interest.
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Affiliation(s)
- Huan Tao
- Beijing Institute of Radiation Medicine
| | - Hao Li
- Beijing Institute of Radiation Medicine
| | - Kang Xu
- Beijing Institute of Radiation Medicine
| | - Hao Hong
- Beijing Institute of Radiation Medicine, Department of Biotechnology
| | - Shuai Jiang
- Beijing Institute of Radiation Medicine, Department of Biotechnology
| | - Guifang Du
- Beijing Institute of Radiation Medicine, Department of Biotechnology
| | | | - Yu Sun
- Beijing Institute of Radiation Medicine, Department of Biotechnology
| | - Xin Huang
- Beijing Institute of Radiation Medicine, Department of Biotechnology
| | - Yang Ding
- Beijing Institute of Radiation Medicine
| | - Fei Li
- Chinese Academy of Sciences, Department of Computer Network Information Center
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Liu Z, Chen C, Yu F, Yuan D, Wang W, Jiao K, Yang S, Zhang Y, Wang Y, Liu L, Xu H, Zhang Y, Zhu G, Hu B, Zhu J. Association of Total Dietary Intake of Sugars with Prostate-Specific Antigen (PSA) Concentrations: Evidence from the National Health and Nutrition Examination Survey (NHANES), 2003-2010. BIOMED RESEARCH INTERNATIONAL 2021; 2021:4140767. [PMID: 33506014 PMCID: PMC7811566 DOI: 10.1155/2021/4140767] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/16/2020] [Revised: 12/05/2020] [Accepted: 12/17/2020] [Indexed: 12/05/2022]
Abstract
BACKGROUND There is increasing evidence that dietary intake of sugars may be a risk factor for prostate cancer (PCa) and elevate the concentration of serum prostate-specific antigen (PSA). However, there is limited evidence of the correlation between total dietary intake of sugars and serum PSA concentrations for adult American males. Herein, we evaluated the association between total dietary intake of sugars and serum PSA concentrations in men without a malignant tumor diagnosis in the United States (US) National Health and Nutrition Examination Survey (NHANES) database. Material and Methods. In this secondary data analysis, a total of 6,403 men aged ≥40 years and without malignant tumor history were included from 2003 to 2010. The independent variable of this study was the total dietary intake of sugars, and the dependent variable was serum PSA concentrations. Covariates included dietary, comorbidity, physical examination, and demographic data. RESULTS The average age of participants included in this study was 58.1 years (±13.6). After adjusting for the dietary, comorbidity, physical examination, and demographic data, we observed that a dietary intake increase of one gram of total dietary intake of sugars was associated with an increase of serum PSA concentrations by 0.003 ng/mL (after log2 transformed, 95% CI: 0.001 to 0.005) with a P value for trend less than 0.05. Sensitivity analysis using the generalized additive model (GAM) supported the linear association between total dietary intake of sugars and serum PSA concentrations. CONCLUSION The total dietary intake of sugars is independently and positively associated with serum PSA concentrations in adult American males who are without a personal history of malignant tumors.
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Affiliation(s)
- Zhangcheng Liu
- Department of Urology, Guizhou Provincial People's Hospital, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou Province 550002, China
- Department of Urology, The Second People's Hospital of Neijiang, Neijiang, Sichuan Province 641000, China
| | - Chi Chen
- Department of Immunology and Microbiology, Guiyang College of Traditional Chinese Medicine, Guiyang, Guizhou Province 550001, China
| | - Fuxun Yu
- The National Health Commission's Key Laboratory of Immunological Pulmonary Disease, Guizhou Provincial People's Hospital, Guiyang, Guizhou Province 550002, China
| | - Dongbo Yuan
- Department of Urology, Guizhou Provincial People's Hospital, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou Province 550002, China
| | - Wei Wang
- Department of Urology, Guizhou Provincial People's Hospital, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou Province 550002, China
| | - Ke Jiao
- Department of Urology, Guizhou Provincial People's Hospital, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou Province 550002, China
| | - Shengbang Yang
- Department of Urology, Guizhou Provincial People's Hospital, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou Province 550002, China
- Department of Urology, Guangdong Key Laboratory of Clinical Molecular Medicine and Diagnostics, Guangzhou First Municipal People's Hospital, Guangzhou Medical University, Guangzhou, Guangdong Province 510180, China
| | - Yongqiang Zhang
- Department of Urology, Guizhou Provincial People's Hospital, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou Province 550002, China
| | - Yong Wang
- Department of Urology, The Second People's Hospital of Neijiang, Neijiang, Sichuan Province 641000, China
| | - Linhai Liu
- Department of Urology, The Second People's Hospital of Neijiang, Neijiang, Sichuan Province 641000, China
| | - Huali Xu
- Department of Urology, The Second People's Hospital of Neijiang, Neijiang, Sichuan Province 641000, China
| | - Yang Zhang
- Department of Urology, The Second People's Hospital of Neijiang, Neijiang, Sichuan Province 641000, China
| | - Guohua Zhu
- Department of Urology, Guizhou Provincial People's Hospital, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou Province 550002, China
| | - Bin Hu
- Department of Urology, Guizhou Provincial People's Hospital, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou Province 550002, China
| | - Jianguo Zhu
- Department of Urology, Guizhou Provincial People's Hospital, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou Province 550002, China
- Department of Urology, Guangdong Key Laboratory of Clinical Molecular Medicine and Diagnostics, Guangzhou First Municipal People's Hospital, Guangzhou Medical University, Guangzhou, Guangdong Province 510180, China
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He X, Xu X, Sui Y, Xu K, Wang S. Screening of the active compound from Tetradium ruticarpum fruits and analysis of its binding characteristics to the α 1A adrenoceptor by high expression α 1A adrenoceptor cell membrane chromatography. J Pharm Biomed Anal 2020; 195:113874. [PMID: 33422833 DOI: 10.1016/j.jpba.2020.113874] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2020] [Revised: 11/26/2020] [Accepted: 12/25/2020] [Indexed: 12/18/2022]
Abstract
The dried fruit of the Tetradium ruticarpum (Wu Zhu Yu) tree is commonly used in traditional Chinese medicine, and its decoction can be used for treating conditions such as headaches and hypotension. In the present study, an offline two-dimensional combination method of α1A/HEK293 cell membrane chromatography (α1A/CMC) and UHPLC-MS/MS was established to screen and identify the active compound from the Tetradium ruticarpum fruits. The binding characteristics between this active compound and the α1A receptor were also analyzed by an α1A/CMC method. By this process, dehydroevodiamine was identified as the potential active compound. Equilibrium dissociation constant (Kd) values between α1A receptor and dehydroevodiamine, obtained by both stepwise frontal analysis and zonal elution analysis, were (5.18 ± 0.50) × 10-6 mol/L and (2.70 ± 0.74) × 10-6 mol/L, respectively. Our results indicate that the α1A/CMC method can not only screen active compounds from complex sample, but can also be used to calculate the binding parameters of the identified compound.
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Affiliation(s)
- Xiaoshuang He
- Department of Pharmacy, Ruijin Hospital Affiliated to School of Medicine, Shanghai Jiaotong University, Shanghai, 200025, China; School of Pharmacy, Xi'an Jiaotong University, Xi'an, 710061, China
| | - Xianliang Xu
- School of Pharmacy, Xi'an Jiaotong University, Xi'an, 710061, China; Shaanxi Engineering Research Center of Cardiovascular Drugs Screening & Analysis, Xi'an, 710061, China
| | - Yue Sui
- School of Pharmacy, Xi'an Jiaotong University, Xi'an, 710061, China
| | - Ke Xu
- School of Pharmacy, Xi'an Jiaotong University, Xi'an, 710061, China
| | - Sicen Wang
- School of Pharmacy, Xi'an Jiaotong University, Xi'an, 710061, China; Shaanxi Engineering Research Center of Cardiovascular Drugs Screening & Analysis, Xi'an, 710061, China.
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Li W, Bicak M, Sjoberg DD, Vertosick E, Dahlin A, Melander O, Ulmert D, Lilja H, Klein RJ. Genome-wide association study identifies novel single nucleotide polymorphisms having age-specific effect on prostate-specific antigen levels. Prostate 2020; 80:1405-1412. [PMID: 32914890 PMCID: PMC7606728 DOI: 10.1002/pros.24070] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Revised: 08/17/2020] [Accepted: 08/24/2020] [Indexed: 01/17/2023]
Abstract
BACKGROUND Testing for prostate-specific antigen (PSA) levels in blood are widely used and associated with prostate cancer risk and outcome. After puberty, PSA levels increase by age and multiple single nucleotide polymorphisms (SNPs) have been found to be associated with PSA levels. However, the relationship between the effects of SNPs and age on PSA remains unknown. METHODS To test for SNP × age interaction, we conducted a genome-wide association study using 2394 men without prostate cancer diagnosis from Malmö, Sweden as a discovery set and 2137 men from the eMERGE study (USA) for validation. Linear regression was used to identify significant interactions between SNP and age (p < 1 × 10-4 for discovery, p < .05 for validation). RESULTS The 15 SNPs from three different loci (8p11.22, 8p12, 3q25.31) are found to have age-specific effect on PSA levels. Expression quantitative trait loci (eQTLs) analysis shows that 12 SNPs from 3q25.31 locus affect the expression level of three genes: KCNAB1, SLC33A1, PLCH1. CONCLUSIONS Our results suggest that SNPs may have age-specific effect on PSA levels, which provides new direction to study genetic markers for PSA.
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Affiliation(s)
- Weiqiang Li
- Icahn Institute for Genomics and Multiscale Biology and Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Mesude Bicak
- Icahn Institute for Genomics and Multiscale Biology and Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Daniel D. Sjoberg
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY USA
| | - Emily Vertosick
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY USA
| | - Anders Dahlin
- Department of Clinical Sciences, Malmö, Lund University, Malmö, Sweden
| | - Olle Melander
- Department of Clinical Sciences, Malmö, Lund University, Malmö, Sweden
| | - David Ulmert
- Molecular pharmacology program, Sloan Kettering Institute, New York, NY USA
| | - Hans Lilja
- Departments of Laboratory Medicine, Surgery, and Medicine, Memorial Sloan Kettering Cancer Center, New York, NY USA; Department of Translational Medicine, Lund University, Malmö, Sweden
| | - Robert J. Klein
- Icahn Institute for Genomics and Multiscale Biology and Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY USA
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Zitoun OA, Farhat AM, Mohamed MA, Hamad MR, Aramini B, Haider KH. Management of benign prostate hyperplasia (BPH) by combinatorial approach using alpha-1-adrenergic antagonists and 5-alpha-reductase inhibitors. Eur J Pharmacol 2020; 883:173301. [PMID: 32592768 DOI: 10.1016/j.ejphar.2020.173301] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2020] [Revised: 06/18/2020] [Accepted: 06/19/2020] [Indexed: 12/23/2022]
Abstract
Currently, the main available treatments for benign prostate hyperplasia (BPH) are alpha-1 adrenergic receptor antagonists (ARAs), 5-alpha reductase inhibitors (5-αRI), anticholinergics, and Phosphodiesterase-5 inhibitors. Recent studies support the combined therapy approach using ARAs with 5-αRI for lower urinary tract symptoms (LUTS) in BPH patients at risk of clinical progression. We aimed to review BPH management in select group of randomized controlled trials by combination therapy with ARAs and 5-αRIs compared to monotherapy with either drug with respect to the safety and efficacy. A total of 6 randomized controlled trials (RCTs) involving comparison of combination therapy with monotherapy using ARAs and 5-αRIs were retrieved from PubMed Central and reviewed for international prostate symptom score (IPSS), quality of life (QoL), post-residual urinary flow rate (PUF), and clinical progression. The results significantly favour the treatment group that received the combination therapy in comparison with the groups receiving monotherapy. However, outcome with regard to prostate volume showed insignificant improvement when the combination therapy is compared with 5- αRIs alone, rather than ARAs. In conclusion, combination therapy using ARAs and 5-αRI is better than monotherapy in the patients of BPH. Fixed dose combination (FDC), a type of combination, is also cost-effective and its side-effects profile resembles to that of monotherapy.
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Affiliation(s)
- Osama A Zitoun
- Sulaiman AlRajhi University, Al Bukairiyah, Kingdom of Saudi Arabia.
| | | | - Mohamed A Mohamed
- Sulaiman AlRajhi University, Al Bukairiyah, Kingdom of Saudi Arabia.
| | - Mohammad R Hamad
- Sulaiman AlRajhi University, Al Bukairiyah, Kingdom of Saudi Arabia.
| | - Beatrice Aramini
- Division of Thoracic Surgery, Department of Medical and Surgical Sciences for Children & Adults, University of Modena and Reggio Emilia, Modena, Italy.
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Olafsdottir T, Thorleifsson G, Sulem P, Stefansson OA, Medek H, Olafsson K, Ingthorsson O, Gudmundsson V, Jonsdottir I, Halldorsson GH, Kristjansson RP, Frigge ML, Stefansdottir L, Sigurdsson JK, Oddsson A, Sigurdsson A, Eggertsson HP, Melsted P, Halldorsson BV, Lund SH, Styrkarsdottir U, Steinthorsdottir V, Gudmundsson J, Holm H, Tragante V, Asselbergs FW, Thorsteinsdottir U, Gudbjartsson DF, Jonsdottir K, Rafnar T, Stefansson K. Genome-wide association identifies seven loci for pelvic organ prolapse in Iceland and the UK Biobank. Commun Biol 2020; 3:129. [PMID: 32184442 PMCID: PMC7078216 DOI: 10.1038/s42003-020-0857-9] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2019] [Accepted: 02/25/2020] [Indexed: 12/17/2022] Open
Abstract
Pelvic organ prolapse (POP) is a downward descent of one or more of the pelvic organs, resulting in a protrusion of the vaginal wall and/or uterus. We performed a genome-wide association study of POP using data from Iceland and the UK Biobank, a total of 15,010 cases with hospital-based diagnosis code and 340,734 female controls, and found eight sequence variants at seven loci associating with POP (P < 5 × 10-8); seven common (minor allele frequency >5%) and one with minor allele frequency of 4.87%. Some of the variants associating with POP also associated with traits of similar pathophysiology. Of these, rs3820282, which may alter the estrogen-based regulation of WNT4, also associates with leiomyoma of uterus, gestational duration and endometriosis. Rs3791675 at EFEMP1, a gene involved in connective tissue homeostasis, also associates with hernias and carpal tunnel syndrome. Our results highlight the role of connective tissue metabolism and estrogen exposure in the etiology of POP.
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Affiliation(s)
| | | | - Patrick Sulem
- deCODE Genetics/Amgen, Sturlugata 8, 101, Reykjavik, Iceland
| | | | - Helga Medek
- Department of Obstetrics and Gynecology, Landspitali University Hospital, 101, Reykjavik, Iceland
| | - Karl Olafsson
- Department of Obstetrics and Gynecology, Landspitali University Hospital, 101, Reykjavik, Iceland
| | - Orri Ingthorsson
- Department of Obstetrics and Gynecology, Akureyri Hospital, 600, Akureyri, Iceland
| | - Valur Gudmundsson
- Department of Obstetrics and Gynecology, Akureyri Hospital, 600, Akureyri, Iceland
| | - Ingileif Jonsdottir
- deCODE Genetics/Amgen, Sturlugata 8, 101, Reykjavik, Iceland
- Faculty of Medicine, School of Health Sciences, University of Iceland, 101, Reykjavik, Iceland
- Department of Immunology, Landspitali University Hospital, 101, Reykjavik, Iceland
| | | | | | | | | | | | | | | | | | - Pall Melsted
- deCODE Genetics/Amgen, Sturlugata 8, 101, Reykjavik, Iceland
- School of Engineering and Natural Sciences, University of Iceland, 101, Reykjavik, Iceland
| | - Bjarni V Halldorsson
- deCODE Genetics/Amgen, Sturlugata 8, 101, Reykjavik, Iceland
- School of Science and Engineering, Reykjavik University, 101, Reykjavik, Iceland
| | - Sigrun H Lund
- deCODE Genetics/Amgen, Sturlugata 8, 101, Reykjavik, Iceland
| | | | | | | | - Hilma Holm
- deCODE Genetics/Amgen, Sturlugata 8, 101, Reykjavik, Iceland
| | - Vinicius Tragante
- deCODE Genetics/Amgen, Sturlugata 8, 101, Reykjavik, Iceland
- Department of Cardiology, Division Heart & Lungs, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Folkert W Asselbergs
- Department of Cardiology, Division Heart & Lungs, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
- Institute of Cardiovascular Science, Faculty of Population Health Sciences, University College London, London, UK
- Health Data Research UK and Institute of Health Informatics, University College London, London, UK
| | - Unnur Thorsteinsdottir
- deCODE Genetics/Amgen, Sturlugata 8, 101, Reykjavik, Iceland
- Faculty of Medicine, School of Health Sciences, University of Iceland, 101, Reykjavik, Iceland
| | - Daniel F Gudbjartsson
- deCODE Genetics/Amgen, Sturlugata 8, 101, Reykjavik, Iceland
- School of Engineering and Natural Sciences, University of Iceland, 101, Reykjavik, Iceland
| | - Kristin Jonsdottir
- Department of Obstetrics and Gynecology, Landspitali University Hospital, 101, Reykjavik, Iceland
| | - Thorunn Rafnar
- deCODE Genetics/Amgen, Sturlugata 8, 101, Reykjavik, Iceland
| | - Kari Stefansson
- deCODE Genetics/Amgen, Sturlugata 8, 101, Reykjavik, Iceland.
- Faculty of Medicine, School of Health Sciences, University of Iceland, 101, Reykjavik, Iceland.
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Christiansen MK, Nissen L, Winther S, Møller PL, Frost L, Johansen JK, Jensen HK, Guðbjartsson D, Holm H, Stefánsson K, Bøtker HE, Bøttcher M, Nyegaard M. Genetic Risk of Coronary Artery Disease, Features of Atherosclerosis, and Coronary Plaque Burden. J Am Heart Assoc 2020; 9:e014795. [PMID: 31983321 PMCID: PMC7033858 DOI: 10.1161/jaha.119.014795] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Background Polygenic risk scores (PRSs) based on risk variants from genome‐wide association studies predict coronary artery disease (CAD) risk. However, it is unknown whether the PRS is associated with specific CAD characteristics. Methods and Results We consecutively included 1645 patients with suspected stable CAD undergoing coronary computed tomography angiography. A multilocus PRS was calculated as the weighted sum of CAD risk variants. Plaques were evaluated using an 18‐segment model and characterized by stenosis severity and composition (soft [0%‐19% calcified], mixed‐soft [20%‐49% calcified], mixed‐calcified [50%‐79% calcified], or calcified [≥80% calcified]). Coronary artery calcium score and segment stenosis score were used to characterize plaque burden. For each standard deviation increase in the PRS, coronary artery calcium score increased by 78% (P=4.1e‐26) and segment stenosis score increased by 16% (P=2.4e‐29) in the fully adjusted model. The PRS was associated with a higher prevalence of obstructive plaques (odds ratio [OR]: 1.78, P=5.6e‐16), calcified (OR: 1.69, P=6.5e‐17), mixed‐calcified (OR: 1.67, P=7.3e‐9), mixed‐soft (OR: 1.45, P=1.6e‐6), and soft plaques (OR: 1.49, P=2.5e‐6), and a higher prevalence of plaque in each coronary vessel (all P<1.0e‐4). However, when analyzing data on a plaque level (3007 segments with plaque in 849 patients) the PRS was not associated with stenosis severity, plaque composition, or localization (all P>0.05). Conclusions Our results suggest that polygenic risk based on large genome‐wide association studies increases CAD risk through an increased burden of coronary atherosclerosis rather than promoting specific plaque features. Clinical Trial Registration URL: https://www.clinicaltrials.gov. Unique identifier: NCT02264717.
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Affiliation(s)
- Morten Krogh Christiansen
- Department of Cardiology Aarhus University Hospital Aarhus Denmark.,Department of Internal Medicine Horsens Regional Hospital Horsens Denmark
| | - Louise Nissen
- Department of Cardiology Hospital Unit West Herning Denmark
| | - Simon Winther
- Department of Cardiology Aarhus University Hospital Aarhus Denmark.,Department of Cardiology Hospital Unit West Herning Denmark
| | | | - Lars Frost
- Department of Cardiology Silkeborg Regional Hospital Silkeborg Denmark
| | | | | | | | - Hilma Holm
- deCODE Genetics/Amgen, Inc. Reykjavik Iceland
| | | | - Hans Erik Bøtker
- Department of Cardiology Aarhus University Hospital Aarhus Denmark
| | | | - Mette Nyegaard
- Department of Biomedicine Aarhus University Aarhus Denmark
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Testa U, Castelli G, Pelosi E. Cellular and Molecular Mechanisms Underlying Prostate Cancer Development: Therapeutic Implications. MEDICINES (BASEL, SWITZERLAND) 2019; 6:E82. [PMID: 31366128 PMCID: PMC6789661 DOI: 10.3390/medicines6030082] [Citation(s) in RCA: 59] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/26/2019] [Revised: 07/19/2019] [Accepted: 07/25/2019] [Indexed: 12/15/2022]
Abstract
Prostate cancer is the most frequent nonskin cancer and second most common cause of cancer-related deaths in man. Prostate cancer is a clinically heterogeneous disease with many patients exhibiting an aggressive disease with progression, metastasis, and other patients showing an indolent disease with low tendency to progression. Three stages of development of human prostate tumors have been identified: intraepithelial neoplasia, adenocarcinoma androgen-dependent, and adenocarcinoma androgen-independent or castration-resistant. Advances in molecular technologies have provided a very rapid progress in our understanding of the genomic events responsible for the initial development and progression of prostate cancer. These studies have shown that prostate cancer genome displays a relatively low mutation rate compared with other cancers and few chromosomal loss or gains. The ensemble of these molecular studies has led to suggest the existence of two main molecular groups of prostate cancers: one characterized by the presence of ERG rearrangements (~50% of prostate cancers harbor recurrent gene fusions involving ETS transcription factors, fusing the 5' untranslated region of the androgen-regulated gene TMPRSS2 to nearly the coding sequence of the ETS family transcription factor ERG) and features of chemoplexy (complex gene rearrangements developing from a coordinated and simultaneous molecular event), and a second one characterized by the absence of ERG rearrangements and by the frequent mutations in the E3 ubiquitin ligase adapter SPOP and/or deletion of CDH1, a chromatin remodeling factor, and interchromosomal rearrangements and SPOP mutations are early events during prostate cancer development. During disease progression, genomic and epigenomic abnormalities accrued and converged on prostate cancer pathways, leading to a highly heterogeneous transcriptomic landscape, characterized by a hyperactive androgen receptor signaling axis.
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Affiliation(s)
- Ugo Testa
- Department of Oncology, Istituto Superiore di Sanità, Vaile Regina Elena 299, 00161 Rome, Italy.
| | - Germana Castelli
- Department of Oncology, Istituto Superiore di Sanità, Vaile Regina Elena 299, 00161 Rome, Italy
| | - Elvira Pelosi
- Department of Oncology, Istituto Superiore di Sanità, Vaile Regina Elena 299, 00161 Rome, Italy
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Misraï V, Pasquie M, Bordier B, Guillotreau J, Gryn A, Palasse J, Bruguière E, Pradere B, Rouprêt M, Zorn KC. Accuracy of the preoperative PSA level for predicting clinically significant incidental transitional zone-prostate cancer before endoscopic enucleation of very large adenoma. World J Urol 2019; 38:993-1000. [PMID: 31139906 DOI: 10.1007/s00345-019-02823-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2019] [Accepted: 05/24/2019] [Indexed: 12/25/2022] Open
Abstract
OBJECTIVE To analyse the accuracy of high preoperative PSA levels for predicting transitional zone incidental PCa (TZ-PCa) in men with very large prostates. MATERIALS AND METHODS Perioperative data from 375 consecutive patients who underwent endoscopic enucleation of the prostate (EEP) for benign prostatic obstruction between July 2013 and December 2018 were retrospectively reviewed. Patients were stratified into three groups according to the preoperative PSA level: low-PSA (< 4 ng/mL), intermediate-PSA (4 ≤ PSA < 10 ng/mL) and high-PSA (≥ 10 ng/mL). Men in each group were propensity score matched by age, 5α-reductase inhibitor (5-ARI) use, prostate volume and mpMRI. The TZ-PCa incidence rate was retrospectively compared by preoperative PSA level in a propensity score model including all predetermined variables. RESULTS Age, prostate volume, 5-ARI use were similar between patient groups. The median PSA levels in the low-, intermediate- and high-PSA groups were 3 [2.3; 3.4], 6.6 [5.3; 8.1] and 12.7 [11; 16.7] ng/mL, respectively. The median prostate volume was > 100 grams in all groups (108, 105 and 120 cc, respectively). The T1a-Gleason 6 incidental TZ-PCa rate was statistically comparable between the three groups (3.4, 5.1 and 8.6% in the low-, intermediate- and high-PSA groups, respectively). The detection rate of clinically significant TZ-PCa was low for preoperative PSA levels > 4 ng/mL (1.7%); with no difference between the intermediate- and high-PSA groups. CONCLUSION In men with large glands, the clinically significant incidental TZ-PCa detection rate was similar regardless of the preoperative PSA level stratum. Such details may help with patient counselling during BPH surgical management.
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Affiliation(s)
- Vincent Misraï
- Department of Urology, Clinique Pasteur, 31300, Toulouse, France.
| | - Marie Pasquie
- Department of Urology, Clinique Pasteur, 31300, Toulouse, France
| | - Benoit Bordier
- Department of Urology, Clinique Pasteur, 31300, Toulouse, France
| | | | - Alexandre Gryn
- Department of Urology, Clinique Pasteur, 31300, Toulouse, France
| | | | - Eric Bruguière
- Department of Radiology, Clinique Pasteur, Toulouse, France
| | | | - Morgan Rouprêt
- Urology Department, Hôpital Pitié-Salpêtrière, Sorbonne Université, GRC N°5, ONCOTYPE-URO, AP-HP, 75013, Paris, France
| | - Kevin C Zorn
- Brunswick Science and Technology, Montreal, QC, Canada
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43
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Hellwege JN, Stallings S, Torstenson ES, Carroll R, Borthwick KM, Brilliant MH, Crosslin D, Gordon A, Hripcsak G, Jarvik GP, Linneman JG, Devi P, Peissig PL, Sleiman PAM, Hakonarson H, Ritchie MD, Verma SS, Shang N, Denny JC, Roden DM, Velez Edwards DR, Edwards TL. Heritability and genome-wide association study of benign prostatic hyperplasia (BPH) in the eMERGE network. Sci Rep 2019; 9:6077. [PMID: 30988330 PMCID: PMC6465359 DOI: 10.1038/s41598-019-42427-z] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2018] [Accepted: 03/27/2019] [Indexed: 02/07/2023] Open
Abstract
Benign prostatic hyperplasia (BPH) results in a significant public health burden due to the morbidity caused by the disease and many of the available remedies. As much as 70% of men over 70 will develop BPH. Few studies have been conducted to discover the genetic determinants of BPH risk. Understanding the biological basis for this condition may provide necessary insight for development of novel pharmaceutical therapies or risk prediction. We have evaluated SNP-based heritability of BPH in two cohorts and conducted a genome-wide association study (GWAS) of BPH risk using 2,656 cases and 7,763 controls identified from the Electronic Medical Records and Genomics (eMERGE) network. SNP-based heritability estimates suggest that roughly 60% of the phenotypic variation in BPH is accounted for by genetic factors. We used logistic regression to model BPH risk as a function of principal components of ancestry, age, and imputed genotype data, with meta-analysis performed using METAL. The top result was on chromosome 22 in SYN3 at rs2710383 (p-value = 4.6 × 10-7; Odds Ratio = 0.69, 95% confidence interval = 0.55-0.83). Other suggestive signals were near genes GLGC, UNCA13, SORCS1 and between BTBD3 and SPTLC3. We also evaluated genetically-predicted gene expression in prostate tissue. The most significant result was with increasing predicted expression of ETV4 (chr17; p-value = 0.0015). Overexpression of this gene has been associated with poor prognosis in prostate cancer. In conclusion, although there were no genome-wide significant variants identified for BPH susceptibility, we present evidence supporting the heritability of this phenotype, have identified suggestive signals, and evaluated the association between BPH and genetically-predicted gene expression in prostate.
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Affiliation(s)
- Jacklyn N Hellwege
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Sarah Stallings
- Division of Geriatric Medicine, Meharry-Vanderbilt Alliance, Nashville, TN, USA
| | - Eric S Torstenson
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Robert Carroll
- Department of Biomedical Informatics Vanderbilt University, Nashville, TN, USA
| | | | - Murray H Brilliant
- Center for Human Genetics, Marshfield Clinic Research Institute, Marshfield, WI, USA
| | - David Crosslin
- Department of Biomedical Informatics and Medical Education, School of Medicine, University of Washington, Seattle, WA, USA
| | - Adam Gordon
- Division of Medical Genetics, University of Washington, Seattle, WA, USA
| | - George Hripcsak
- Department of Biomedical Informatics, Columbia University, New York, NY, USA
- Medical Informatics Services, New York-Presbyterian Hospital, New York, NY, USA
| | - Gail P Jarvik
- Departments of Medicine (Medical Genetics) and Genome Sciences, University of Washington, Seattle, WA, USA
| | - James G Linneman
- Office of Research Computing and Analytics/Marshfield Clinic Research Institute, Marshfield, WI, USA
| | - Parimala Devi
- Department of Biomedical Informatics and Medical Education, School of Medicine, University of Washington, Seattle, WA, USA
| | - Peggy L Peissig
- Center for Computational and Biomedical Informatics, Marshfield Clinic Research Institute, Marshfield, WI, USA
| | - Patrick A M Sleiman
- Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Division of Human Genetics, Department of Pediatrics, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Hakon Hakonarson
- Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Division of Human Genetics, Department of Pediatrics, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Marylyn D Ritchie
- Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Ning Shang
- Department of Biomedical Informatics, Columbia University, New York, NY, USA
| | - Josh C Denny
- Department of Biomedical Informatics Vanderbilt University, Nashville, TN, USA
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Dan M Roden
- Department of Biomedical Informatics Vanderbilt University, Nashville, TN, USA
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Pharmacology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Digna R Velez Edwards
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA.
- Department of Biomedical Informatics Vanderbilt University, Nashville, TN, USA.
- Division of Quantitative Sciences, Department of Obstetrics and Gynecology, Vanderbilt Epidemiology Center, Institute for Medicine and Public Health, Vanderbilt University Medical Center, Nashville, TN, USA.
| | - Todd L Edwards
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA.
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