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Benign Prostatic Hyperplasia

Benign Prostatic Hyperplasia (BPH) is a noncancerous enlargement of the prostate gland, a common condition in older men.
It can lead to urinary symptoms such as a weak urinary stream, difficulty starting urination, and the need to urinate more often, especially at night.
BPH is not the same as prostate cancer, but it may coexist with it.
Proper diagnosis and management of BPH are important to alleviate symptoms and maintain quality of life.
Researchers can leverage PubCompare.ai's AI-driven tools to optimize their BPH studies, identify the best protocols, and improve reproducibility and accuracy of their research outcomes.

Most cited protocols related to «Benign Prostatic Hyperplasia»

The UK prostate specimens in this study came from two sources. Cancer tissue came from men locally referred to St Mary's Hospital in West London with symptoms of voiding dysfunction and prostate specific antigen abnormality and requiring biopsy after appropriate counselling. In addition, some patients had participated in a voluntary screening study and these provided samples that were a mixture of benign and cancer pathologies. All biopsy tissue had been stored in formalin fixed, paraffin-embedded (FFPE) blocks over a period of 3-6 years. Slices were taken from the blocks and DNA extracted as described (see Additional File 1; Supplementary Methods). The FFPE samples from Thailand and Korea were excess tissue from histological samples taken from new cases of both benign prostate hyperplasia and prostate cancer. These were FFPE embedded and sent to London for analysis.
We investigated the prevalence of XMRV in the UK and in the Far East, aware that the close relationship (about 94% at the nucleotide level) to other murine exogenous and endogenous retroviruses posed a problem in distinguishing XMRV from contaminating mouse DNA sequences. We were further aware that in any retrovirology laboratory MLV sequence contamination is something of an occupational hazard [19 (link)]. For these reasons, we extracted the DNA from FFPE prostate cancers, along with benign hyperplasia tissue, and PBS without tissue. We used several sets of primers [12 (link)] to test for XMRV-specific sequences, derived from the XMRV gag leader [1 (link)] which encompasses the 24 bp deletion originally thought to distinguish XMRV as a new human virus. To control for low level contamination, we included multiple no-template controls (no less than 6 in every run) and included assays with primers that would amplify murine mitochondrial DNA (mtDNA) and intracisternal A particle (IAP) LTRs. IAPs are retrotransposons present at the level of about 1000 copies of varying length per mouse genome [20 (link)].
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Publication 2010
Benign Prostatic Hyperplasia Biological Assay Biopsy Deletion Mutation DNA, Mitochondrial Endogenous Retroviruses Formalin Genome Homo sapiens Hyperplasia Intracisternal A-Particle Elements Long Terminal Repeat Malignant Neoplasms Mus Nucleotides Oligonucleotide Primers Paraffin Paraffin Embedding Patients Prostate Prostate-Specific Antigen Prostate Cancer Retrotransposons Tissues Xenotropic murine leukemia virus-related virus
A list of 23 common conditions was derived a priori from previous studies and from sources listing the most common chronic conditions in older adults.6 (link)–8 ,12 (link),22 (link) Conditions were selected that were common, managed with specific and reasonably defined drug therapy regimens, and identifiable using International Classification of Diseases, Ninth Revision (ICD-9) encounter codes. The Healthcare Cost and Utilization Project Clinical Classification Software was used to map ICD-9 diagnosis codes for each individual to each of the 23 conditions.23 These conditions included osteoarthritis and arthritis not otherwise specified (herein called arthritis); coronary heart disease (CHD); cerebrovascular accident (CVA); peripheral arterial disease (PAD; including aortic aneurysms); chronic obstructive pulmonary disease and asthma (COPD); diabetes mellitus; heart failure; atrial fibrillation; depression; hypertension; malignancy other than prostate cancer; prostate cancer; anemia; hypothyroidism; dementia; epilepsy; benign prostatic hypertrophy (BPH); Parkinson’s disease; osteoporosis; hyperlipidemia; gout; chronic renal insufficiency; and a combination category of gastroesophageal reflux disease, peptic ulcer disease, and dyspepsia (GERD/PUD). (Details of coding algorithms are provided in Appendix S1.)
An individual was defined as having a condition of interest if he or she had one or more relevant ICD-9 codes during any outpatient visit or inpatient stay over the 2-year study period. Previous validation studies in the VA have identified this approach as highly sensitive and moderately to highly specific for identifying common chronic conditions.24 (link),25 (link) To maximize fidelity of outpatient diagnoses in VA data, codes were assessed only from encounter types in which a physician or nurse practitioner typically records diagnoses. (This approach does not consider diagnoses associated with radiology, laboratory, or other such visits.) In Medicare data, diagnoses were assessed only from claims arising from physician visits. In sensitivity analyses, a more-conservative method was used that required two or more ICD-9 codes from distinct outpatient visits or one or more codes from hospital discharge diagnoses to identify a disease condition as present.
Publication 2012
Aged Anemia Aortic Aneurysm Arthritis Asthma Atrial Fibrillation Benign Prostatic Hyperplasia Cerebrovascular Accident Chronic Condition Chronic Kidney Insufficiency Chronic Obstructive Airway Disease Congestive Heart Failure Degenerative Arthritides Dementia Diabetes Mellitus Diagnosis Dyspepsia Epilepsy Gastroesophageal Reflux Disease Gout Heart Disease, Coronary High Blood Pressures Hyperlipidemia Hypersensitivity Hypothyroidism Inpatient Malignant Neoplasms Osteoporosis Outpatients Patient Discharge Peptic Ulcer Peripheral Arterial Diseases Pharmacotherapy Physicians Practitioner, Nurse Prostate Cancer Treatment Protocols X-Rays, Diagnostic
Medical history data was frequently redacted in the trial datasets to maintain patient confidentiality, and even when provided, different terminologies were used. In contrast, all the trials providing data on concomitant medication used the World Health Organization Anatomic Therapeutic Chemical (WHO-ATC) system, the de facto standard for drug coding in clinical trials [24 ]. We therefore used concomitant medication data to identify 21 comorbidities in both the trial and community datasets.
Trials either reported the ATC codes directly or reported preferred terms often along with the drug route. In the latter case, we used RxNorm (the US drug metathesaurus) [25 ], the UK British National Formulary [21 ] and manual review to assign ATC codes. Trial concomitant medications were defined as any drug started on or before the randomisation date.
For the community sample, we used the NHS Business Authority ATC to Read code lookup table (as processed by the OpenPrescribing project) [26 ]. For drugs not found in the lookup table, we manually mapped Read code-defined drugs to ATC codes. Any drug prescribed during 2011 was included.
The following comorbidities (detailed in Additional file 4) were identified based on medication use: cardiovascular disease, chronic pain, arthritis, affective disorders, acid-related disorders, asthma/chronic obstructive pulmonary disease, diabetes mellitus, osteoporosis, thyroid disease, thromboembolic disease, inflammatory conditions, benign prostatic hyperplasia, gout, glaucoma, urinary incontinence, erectile dysfunction, psychotic disorders, epilepsy, migraine, parkinsonism and dementia. These drug-based definitions were developed in consultation with a steering committee comprising clinicians, epidemiologists and statisticians and were finalised before the analysis of the primary care data.
For each patient/participant, and within each index condition, we summed the number of individual comorbidities, not including the index condition, to obtain a comorbidity count.
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Publication 2019
Acids Arthritis Asthma Benign Prostatic Hyperplasia Cardiovascular Diseases Chronic Obstructive Airway Disease Chronic Pain Dementia Diabetes Mellitus Epidemiologists Epilepsy Erectile Dysfunction Glaucoma Gout Inflammation Migraine Disorders Mood Disorders Osteoporosis Parkinsonian Disorders Patients Pharmaceutical Preparations Primary Health Care Psychotic Disorders Therapeutics Thromboembolism Thyroid Diseases Urinary Incontinence
This case-control study has been previously described26 (link). The study was initiated to test the primary hypothesis that environmental exposures and ancestry-related factors contribute to the excessive prostate cancer burden among AA men. Briefly, prior to interview, all subjects signed informed consent for participation. All study forms and procedures were approved by the NCI (protocol # 05-C-N021) and the University of Maryland (protocol #0298229) Institutional Review Boards. Cases were recruited at the Baltimore Veterans Affairs Medical Center and the University of Maryland Medical Center.
Eligibility criteria included the following: diagnosis with prostate cancer within two years prior to enrollment, residence in Maryland or adjacent counties in Pennsylvania, Delaware, Virginia, or District of Columbia, 40 to 90 years old at the time of enrollment, born in the United States, either African-American (AA) or European-American (EA) by self-report, can be interviewed in English, had a working home phone number, physically and mentally fit to be interviewed, not severely ill, and not residing in an institution such as prison, nursing home, or shelter. A total of 976 cases (489 AA and 487 EA men) were recruited into the study between 2005 and 2015.
Controls were identified through the Maryland Department of Motor Vehicle Administration database and were frequency-matched to cases on age and race. The controls also had the same eligibility criteria as cases with the exception that they could not have a personal history of cancer (other than non-melanoma skin cancer), radiation therapy, or chemotherapy. A total of 1034 population controls were recruited (486 AA and 548 EA men). At the time of enrollment, both cases and controls were administered a survey by a trained interviewer and a blood sample or mouthwash rinse/buccal cells was collected. The survey asked about their demographics, tobacco use, nutrition, medical history, family history of cancer, prostatitis, or benign prostatic hypertrophy, occupational history, socioeconomic status, anthropometry, and sexual history. The participants were given 20 min of privacy to complete the sexual history section of the survey.
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Publication 2018
African American Benign Prostatic Hyperplasia BLOOD Cells Childbirth Diagnosis Eligibility Determination Environmental Exposure Ethics Committees, Research Europeans Familial Atypical Mole-Malignant Melanoma Syndrome Interviewers Malignant Neoplasms Mouthwashes Pharmacotherapy Prostate Cancer Prostatitis Radiotherapy Veterans
Samples used for gene expression profiling included 18 metastases from 5 autopsy subjects, processed as described previously (16 (link)), and 21 normal prostate specimens from organ donors (54 (link)). Total RNA was extracted from cryostat sections and evaluated using the Agilent 2100 Bioanalyzer (Agilent Technologies, Santa Clara, CA) as described previously (55 (link)). Gene expression profiling was performed according to the guidelines provided by the Agilent Whole Genome Expression Microarray system (Agilent Technologies). Briefly, each of the 39 RNA samples was linearly amplified and labeled with Cy5, and cohybridized with a common reference RNA sample derived from benign prostatic hyperplasia that was similarly amplified but labeled with Cy3. For each sample, expression ratios of Cy5/Cy3 for each probe constituted the raw gene expression measure for the corresponding gene. Raw data were pre-processed with the R/Bioconductor limma package using within-sample standard locally weighted least squares regression (lowess) normalization and between-sample quantile normalization. Values from replicate probes were averaged. The raw and normalized data is available from the Gene Expression Omnibus (GEO) with accession number GSE38241. Probes differentially expressed between prostate cancer metastases and normal prostate tissues were identified by a linear mixed-effects model that accounts for within-subject correlation between tumor samples. The top 500 most variably expressed probes across all tissues were identified and subjected to average linkage Euclidean distance hierarchical clustering. For correlation analysis between DNA methylation and gene expression, methylation probes were assigned to genes if they were located within a 5kb upstream to 2kb downstream window around transcriptional start sites. In the case where multiple methylation probes were available for a given gene, one was selected at random. Gene-level linear regression models were used to assess statistical significance of the expression-methylation relationship. When assessing the strength of the intra-individual gene expression – methylation relationship, a subject-specific term was added to the model. R2 values for log2 gene expression values were calculated as described for DNA methylation.
Publication 2013
Autopsy Benign Prostatic Hyperplasia DNA Methylation DNA Replication Donor, Organ Gene Expression Genes Genome Methylation Microarray Analysis Neoplasm Metastasis Neoplasms Prostate Prostate Cancer Tissues Transcription Initiation Site

Most recents protocols related to «Benign Prostatic Hyperplasia»

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Example 8

Serum samples from patients were tested with the FLNA IPMRM, as described above, using the anti-FLNA monoclonal antibodies of the invention. The results were combined with data on age, PSA, and Gleason score and subjected to regression modelling. As shown in FIG. 10, a Prostate Cancer Biomarker Panel consisting of biomarkers FLNA, FLNB, age and PSA improved the classification of prediction of prostate cancer over PSA alone (AUC=0.64, [0.59, 0.69], vs 0.58).

Samples of patient serum were also analyzed for the biomarkers FLNA, keratin 19 (KRT19) and age combined, versus PSA alone. FIG. 11 shows that the biomarkers FLNA, KRT19 and age have improved classification of prediction between patients with benign prostatic hyperplasia versus prostate cancer over PSA alone (AUC=0.70 [0.60, 0.80], vs 0.58).

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Patent 2024
Anti-Antibodies Benign Prostatic Hyperplasia Biological Markers Keratin-19 Monoclonal Antibodies Patients Prostate Prostate Cancer Serum Tumor Markers
With the idea of an MFH technique limited only to small tumor sizes, a special instrument was needed to deliver the heat in a minimally invasive manner. One potential end use of the LIH is during a laparoscopic procedure, a minimal invasive surgery where the surgeon inserts multiple tube-like instruments (with different functions) through small incisions in the patient’s body [53 –56 (link)]. This instrument was designed with a tube-like structure, considering current laparoscopic instrument designs, and its performance is mainly limited by the magnetic generator parameters and the electrical current flowing through it. The TRIH was designed for prostate cancer malignancies. This instrument could be used to reach the prostate transrectally or to access the prostate by placing it in contact with the perineum. A normal prostate has a volume of approximately 25 cm3. Nevertheless, in cases of benign prostate hyperplasia (BPH) or prostate cancer, the prostate volume can increase to over 30 cm3. This was the rationale behind designing this coil larger than the one in the LIH.
The enclosures for each instrument were designed to have a medical device appearance, while also providing a means to maintain the internal temperature of the coil below 155 °C to avoid damage. Both embodiments were designed using NX software (Siemens, Plano, TX, USA) and were partially constructed by a Zortrax Inkspire 3D printer (Zortrax SA, Olsztyn, Poland) with epoxy-based resin from the same company. The constructs can regulate the coil temperature by circulating water (20 °C–25 °C) throughout the instrument similar as inside MFH coils [57 (link)]. The materials for the LIH design and its measurements were selected considering the dimensions of current laparoscopic instruments. A polycarbonate tubing (⌀inner = 12.7 mm × ⌀outer = 15.9 mm × 1.6 mm wall) (Small Parts Inc., Logansport, IN, USA) connected the 3D printed parts (handle and tip). The handle included the water inlet and outlets, as well as a nylon wet-location multi-cord grip (McMaster-Carr, Elmhurst, IL, USA) for the 6 AWG Type 2 Litz wires that connect directly to the circuit. The tip was where the coil was placed and served as a connection point for the Masterflex® 25 L/S® inner tubing (Cole-Palmer, Vernon Hills, IL, USA). This ensures that the water flows right into the coil before exiting the instrument. A cap at the tip ensured fast replacement of the coil if a problem was encountered. The overall length of the LIH was approximately 23 cm (see figure 3(a)).
The TRIH design was similar in the parts used, but different in shape. In this case, a tygon flexible tubing (⌀inner = 25.4 mm × ⌀outer = 31.8 mm × 3.2 mm wall) (McMaster-Carr, Elmhurst, IL, USA) connected the 3D printed parts (handle and tip). Similar to the LIH, the handle included the water inlet and outlets, as well as the nylon wet-location multi-cord grip for the 6 AWG Type 2 Litz wires that connect directly to the circuit. The tip in this case also enclosed the coil and served as a connection point for the 25 L/S® inner tubing. This part had a 4-jet nozzle for improved heat removal of this larger coil. This design also had a cap for fast replacement of the coil if a problem was encountered. Because of the 3D printed enclosure, the instrument itself is slightly larger than what we aim to use in the future. However, this does not affect its performance, as the coil has the exact dimensions we designed for. The overall length of the TRIH was approximately 25 cm (see figure 3(b)).
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Publication 2023
Benign Prostatic Hyperplasia Cone-Rod Dystrophy 2 Electricity Epoxy Resins Grasp Human Body Laparoscopy Malignant Neoplasms Medical Devices Minimally Invasive Surgical Procedures Neoplasms nylon 6 Nylons Patients Perineum polycarbonate Prostate Prostate Cancer Surgeons
The exclusion criteria were as follows: (1) pregnancy or planning to conceive in the next 6 months; (2) a history of allergy to solifenacin; (3) cardiac problems (e.g., heart failure); (4) a history of surgery to treat urinary incontinence or other surgeries of the urinary system; (5) stress urinary incontinence or prostatic hyperplasia; (6) diabetes; (7) Parkinson’s disease; (8) a history of anticholinergic drug therapy for OAB in the last month; (9) a history of electrotherapy of the lower limbs and the back; (10) performing the pelvic floor muscle exercise in the last month; and (11) having a heart pacemaker and/or leg prosthesis.
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Publication 2023
Allergic Reaction Anticholinergic Agents Benign Prostatic Hyperplasia Diabetes Mellitus Electric Stimulation Therapy Heart Heart Failure Leg Prostheses Lower Extremity Muscle Tissue Operative Surgical Procedures Pacemaker, Artificial Cardiac Pelvic Diaphragm Pharmacotherapy Pregnancy Solifenacin Therapeutics Urinary Incontinence Urinary Stress Incontinence Urologic Surgical Procedures
Segregation of genotype frequency differences with susceptibility and resistance to Bphs in (MOLF × H1R KO) × H1R KO and (AKR × PWK) × AKR mice were tested by χ² in 2 × 2 contingency tables. C3H.BphseMOLF+/-, C3H.BphseC3H, AKR.BphsePWK+/− and AKR.BphseAKR congenic mice were derived by marker assisted selection. (AKR × PWK) × AKR and (C3H × MOLF) × C3H mice that were heterozygous across the Bphse interval at N2 and at each successive BC generation were selected for continued breeding. Bphse congenic mice were maintained as heterozygotes.
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Publication 2023
Benign Prostatic Hyperplasia Genotype Heterozygote Mice, Congenic Mice, Inbred AKR Mice, Inbred C3H Susceptibility, Disease
The positional candidate genes were ranked based on their predicted association with seven functional terms related to the Bphs phenotype: Cardiac, G-protein coupled receptor, Histamine, Pertussis toxin, Type I hypersensitivity, Vascular Permeability, and ER/EMC/ERAD. Gene Weaver74 (link) was used to identify genes annotated with each term. Each term was entered the Gene Weaver homepage (https://geneweaver.org) and search restricted to human, rat, and mouse genes, and to curated lists only. Mouse homologs for each gene were retrieved using the batch query tool in MGI (http://www.informatics.jax.org/batch_data.shtml). In addition, using the Gene Expression Omnibus (GEO) and PubMed, additional gene expression data sets were retrieved for each phenotype term. Final gene lists consisted of the unique set of genes associated with each process term.
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Publication 2023
Benign Prostatic Hyperplasia G-Protein-Coupled Receptors Gene Expression Genes Heart Histamine Homo sapiens Immediate Hypersensitivity Mice, Laboratory Pertussis Toxin Phenotype Vascular Permeability

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More about "Benign Prostatic Hyperplasia"

Benign Prostatic Hyperplasia (BPH) is a noncancerous enlargement of the prostate gland, a common condition in older men.
It is also known as prostatic hypertrophy or prostate enlargement.
BPH can lead to urinary symptoms such as a weak urinary stream, difficulty starting urination, and the need to urinate more often, especially at night.
This condition is distinct from prostate cancer, but the two can coexist.
Proper diagnosis and management of BPH are crucial to alleviate symptoms and maintain quality of life.
Researchers can leverage advanced technologies like PubCompare.ai's AI-driven tools to optimize their BPH studies.
These innovative platforms can help identify the best protocols from literature, preprints, and patents, enhancing the reproducibility and accuracy of research outcomes.
When studying BPH, researchers may utilize various cell lines and reagents, such as FBS, DU145, LNCaP, and RPMI 1640 medium, as well as TRIzol reagent and RNAiso Plus for RNA extraction.
Additionally, they may employ RWPE-1 cells, which are a non-tumorigenic human prostate epithelial cell line, and utilize analytical tools like the Agilent 2100 Bioanalyzer and NanoDrop 2000 for quality assessment of RNA samples.
The MEGAscript T7 High Yield Transcription Kit can also be leveraged for in vitro transcription experiments.
By incorporating these insights and technologies, researchers can optimize their BPH studies, identify the best protocols, and improve the reproducibility and accuracy of their research outcomes, ultimately leading to advancements in the understanding and management of this common condition.