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Prostate

Prostate: A glandular organ in the male reproductive system that secretes fluids important for semen production.
It is located just below the bladder and wraps around the urethra.
The prostate plays a crucial role in male sexual function and is commonly affected by various conditions, including benign prostatic hyperplasia, prostatitis, and prostate cancer.
Understanding the prostate's anatomy and physiology is essential for effective diagnosis and treatment of prostate-related disorders.
Reseaarch in this area can be optimized using powerful AI-driven tools like PubCompare.ai, which help identify the most effective protocols and procedures from the literature.

Most cited protocols related to «Prostate»

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Publication 2015
Blindness Cells DNA Chips Ethics Committees, Research Exome Freezing Malignant Neoplasms Methylation MicroRNAs Microtubule-Associated Proteins Neoplasm Metastasis Neoplasms Pathologists Patients Prostate Prostate Cancer Prostatic Intraepithelial Neoplasias Protein Arrays Proteins RNA Degradation Seminal Vesicles System, Genitourinary Tissues

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Publication 2010
Prostate Prostate Cancer
See Supplementary Methods for source of prostate tissues and cell lines, nucleic acid isolation, exome and transcriptome sequencing and data analysis, mutation validation by Sanger sequencing, aCGH and DNA microarray expression profiling, ETS2 in vitro experiments, AR interactor immunoprecipitation, western blotting, and siRNA experiments, FOXA1 screening and in vitro and in vivo experiments.
Publication 2012
Cell Lines Exome FOXA1 protein, human Immunoprecipitation isolation Microarray Analysis Mutation Nucleic Acids Prostate RNA, Small Interfering Tissues
The Integrated Neuroendocrine Prostate Cancer (NEPC) score estimates the likelihood of a test sample to be CRPC-NE. It is calculated as the Pearson's correlation coefficient between the test vector and a reference CRPC-NE vector based on a set of 70 genes (Supplementary Table 9, Supplementary Fig. 10 and 15) using normalized FPKM values of the test sample. The gene set stems from the integration of differentially deleted/amplified and/or expressed and/or methylated genes in CRPC-NE and CRPC-Adeno. Specifically, 16 differentially deleted genes were selected among putative cancer genes31 (link) (see Differential copy number analysis). The following strategy was used to identify both differentially expressed genes that better distinguish CRPC-NE and CRPC-Adeno samples. We selected differentially expressed protein coding genes with FDR ≤ 1e-2, resulting in a total of 2425 genes, corresponding to 1301 over- and 1124 under-expressed. For each gene, we performed a Receiver Operator Curve (ROC) analysis using the normalized FPKMs as threshold parameter and calculated the Area Under the Curve (AUC). ROCs were built by considering only samples sequenced excluding two samples (7520 and 4240) that were previously published9 (link).leaving 34 CRPC-Adeno and 13 CRPC-NE. Only those differentially expressed genes with AUC ≥ 0.95 and with a fold-change greater than 2 or lower than 0.5 were included in the classifier, resulting in a list of 49 genes (25 over- and 24 under- expressed in CRPC-NE vs. CRPC-Adeno), 21 of which found as differentially methylated between CRPC-NE and CRPC-Adeno. Concordant information between RNA and Methylation was found for 11 genes (see Supplementary Table 9). In addition, we considered 2 genes (MYCN and AURKA) that we previously described as associated with CRPC-NE phenotype9 (link), EZH2 (FDR = 7.9*10−4) and DNMT1 (FDR = 6.9*10−5) for their role in controlling DNA methylation70 (link) and RB1 (FDR = 0.056), reported as a key driver in the pathogenesis of CRPC-NE9 (link),45 (link). For each of the resulting 70 genes, we calculated the mean of the normalized FPKM across the 13 CRPC-NE samples with RNA-seq data and defined the resulting set of averages as reference CRPC-NE vector. The Integrated NEPC score was tested across 719 prostate samples with available transcriptome data from multiple datasets (Supplementary Table 10). RNA-seq data were processed as described above. Processed SU2C-PCF26 (link) and Grasso et al21 (link) (Michigan 2012) data were downloaded from cBioPortal71 (link). Since data for 4 genes (ARHGAP8, BRINP1, C7Orf76 and MAP10) were not available from cBioPortal, for Michigan 2012 we used a reduced version of Integrated NEPC Score (indicated as Integrated NEPC Score*). Samples with Integrated NEPC Score greater than or equal to 0.40 (elevated Integrated NEPC score in main text) were nominated as putative CRPC-NE (Figure 4c, Supplementary Table 14). In order to take into account the lower signal-to-noise ratio and the reduced version of Integrated NEPC Score in Michigan 2012 microarray data, in Figure 4d we consider as CRPC-NE – like those samples with Integrated NEPC Score ≥ 0.25 (significant Integrated NEPC score in Figure 4 legend). AR signaling and Integrated NEPC Score values per sample are reported in Supplementary Table 15.
Publication 2016
Aurora Kinase A Cloning Vectors DNMT1 protein, human EZH2 protein, human Gene Products, Protein Genes Malignant Neoplasms Methylation Microarray Analysis MYCN protein, human Neurosecretory Systems pathogenesis Prostate Prostate Cancer RNA-Seq Stem, Plant Transcriptome
Results are based in part upon data generated by TCGA Research Network (http://cancergenome.nih.gov/). We aggregated TCGA transcriptomic and RPPA data from public repositories, listed in the “Data availability” section. RNA-seq expression data were processed by TCGA at the gene level, rather than at the transcript level. Tumors spanned 32 different TCGA projects, each project representing a specific cancer type, listed as follows: LAML, acute myeloid leukemia; ACC, adrenocortical carcinoma; BLCA, bladder urothelial carcinoma; LGG, lower grade glioma; BRCA, breast invasive carcinoma; CESC, cervical squamous cell carcinoma and endocervical adenocarcinoma; CHOL, cholangiocarcinoma; CRC, colorectal adenocarcinoma (combining COAD and READ projects); ESCA, esophageal carcinoma; GBM, glioblastoma multiforme; HNSC, head and neck squamous cell carcinoma; KICH, kidney chromophobe; KIRC, kidney renal clear cell carcinoma; KIRP, kidney renal papillary cell carcinoma; LIHC, liver hepatocellular carcinoma; LUAD, lung adenocarcinoma; LUSC, lung squamous cell carcinoma; DLBC, lymphoid neoplasm diffuse large B-cell lymphoma; MESO, mesothelioma; OV, ovarian serous cystadenocarcinoma; PAAD, pancreatic adenocarcinoma; PCPG, pheochromocytoma and paraganglioma; PRAD, prostate adenocarcinoma; SARC, sarcoma; SKCM, skin cutaneous melanoma; STAD, stomach adenocarcinoma; TGCT, testicular germ cell tumors; THYM, thymoma; THCA, thyroid carcinoma; UCS, uterine carcinosarcoma; UCEC, uterine corpus endometrial carcinoma; UVM, uveal melanoma. Cancer molecular profiling data were generated through informed consent as part of previously published studies and analyzed per each original study’s data use guidelines and restrictions.
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Publication 2019
4-carboxyphenylglyoxal Adenocarcinoma Adenocarcinoma of Lung Adrenocortical Carcinoma Breast Carcinoma Carcinoma, Thyroid Carcinoma, Transitional Cell Carcinosarcoma Cells Cholangiocarcinoma Chromophobia Chronic Obstructive Airway Disease Diffuse Large B-Cell Lymphoma Endocervix Endometrial Carcinoma Esophageal Cancer Familial Atypical Mole-Malignant Melanoma Syndrome Gene Expression Profiling Genes Glioblastoma Multiforme Glioma Hepatocellular Carcinomas Hypernephroid Carcinomas Kidney Leukemia, Myelocytic, Acute Lung Lymph Malignant Neoplasms Mesothelioma Neck Neoplasms Ovary Pancreas Paraganglioma Pheochromocytoma Prostate Renal Cell Carcinoma RNA-Seq Sarcoma Serous Cystadenocarcinoma Squamous Cell Carcinoma Squamous Cell Carcinoma of the Head and Neck Stomach Testicular Germ Cell Tumor Thymoma Urinary Bladder Uterus Uveal melanoma X-Ray Photoelectron Spectroscopy

Most recents protocols related to «Prostate»

Not available on PMC !

Example 16

Direct analysis of chemicals in animal tissue using probes of the invention was performed as shown in FIG. 29A. A small sections of tissue were removed and placed on a paper triangle. Methanol/water (1:1 v:v; 10 μl) was added to the paper as solvent and then 4.5 kV positive DC voltage was applied to produce the spray for MS analysis. Protonated hormone ions were observed for porcine adrenal gland tissue (1 mm3, FIG. 29B). FIG. 16 is a mass spectrum showing direct analysis of hormones in animal tissue by paper spray. A small piece of pig adrenal gland tissue (1 mm×1 mm×1 mm) was placed onto the paper surface, MeOH/water (1:1 v:v; 10 μl) was added and a voltage applied to the paper to produce a spray. The hormones epinephrine and norepinephrine were identified in the spectrum; at high mass the spectrum was dominated by phospolipid signals.

Lipid profiles were obtained for human prostate tissues (1 mm2×15 μm, FIGS. 29C and 29D) removed from the tumor and adjacent normal regions. Phospholipids such as phosphatidylcholine (PC) and sphingomyelin (SM) were identified in the spectra. The peak of [PC(34:1)+K]+ at m/z 798 was significantly more intense in tumor tissue (FIG. 29C) and peaks [SM(34:1)+Na]+ at m/z 725, [SM(36:0)+Na]+ at m/z 756, and [SM(36:4)+Na]+ at m/z 804 were significantly lower compared with normal tissue (FIG. 29D).

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Patent 2024
Adrenal Glands Animals Epinephrine Homo sapiens Hormones Ions Lipids Mass Spectrometry Methanol Neoplasms Norepinephrine Phosphatidylcholines Phospholipids Pigs Prostate Solvents Sphingomyelins Tissues
Not available on PMC !

Example 3

At the time of diagnosis with prostate cancer, subjects are invited to participate in a trial. A subject sample, e.g., blood, is obtained. Periodically, throughout the monitoring, watchful waiting, or active treatment of the subject, e.g., chemotherapy, radiation therapy, e.g., radiation of the prostate, surgery, e.g., surgical prostate resection, hormone therapy, a new subject sample is obtained. At the end of the study, all subject samples are tested for the level of FLNA and/or PSA, and optionally other markers. The subject samples are matched to the medical records of the subjects to correlate FLNA and/or PSA levels, as appropriate, with prostate cancer status at the time of diagnosis, rate of progression of disease, response of subjects to one or more interventions, and transitions between androgen dependent and independent status. Other markers, such as the expression level of keratin 19 and/or filamin B, the age of the subjects, or the prostate volume of the subjects, can also be analyzed in addition to filamin A and/or PSA.

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Patent 2024
Androgens BLOOD Diagnosis Disease Progression Filamin A Filamin B Hormones Keratin-19 Operative Surgical Procedures Pharmacotherapy Prostate Prostate Cancer Prostatectomy Radiotherapy Therapeutics

Example 2

Using the antibodies of the invention as described herein, FLNA levels can be used to distinguish subjects who are or are not suffering from prostate cancer.

A series of subject samples are obtained from an appropriate source, e.g., a commercial source, wherein the samples were obtained from subjects with different stages of prostate cancer, e.g., aggressive prostate cancer, androgen sensitive, androgen insensitive, metastatic; or from subjects not suffering from prostate cancer, e.g., subjects with normal prostate or subjects with BPH. The samples are analyzed for the expression level of FLNA and/or PSA. Optionally other markers, such as the expression level of keratin 19 and/or filamin B, the age of the subjects, or the prostate volume of the subjects, can also be analyzed in addition to filamin A and/or PSA. The level of FLNA and PSA correlate with the presence or absence of disease, and with the severity of prostate cancer.

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Patent 2024
Androgens Antibodies Filamin A Filamin B Keratin-19 Prostate Prostate Cancer
Not available on PMC !

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
Not available on PMC !

Example 2

20 mg of a compound of formula III in 10 ml of sterile water can be administered intravenously to patients. Laparoscopic ports can then be placed and the da Vinci Surgical System connected to the ports. The endoscope of the system can then be directed at the prostate of the patient, and laser excitation at approximately 800 nm can be used to excite the composition of formula III within the prostate. A small amount of blue and green light can also be emitted in order to allow visualization of the background anatomy. Approximately 2-24 hours after administration, visualization of the prostate and prostate tumor tissue can be achieved as the composition of formula III has bound to PSMA.

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Patent 2024
compound 20 Endoscopes Laparoscopy Light Operative Surgical Procedures Patients Prostate Prostatic Neoplasms Sterility, Reproductive Tissues

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Fetal Bovine Serum (FBS) is a cell culture supplement derived from the blood of bovine fetuses. FBS provides a source of proteins, growth factors, and other components that support the growth and maintenance of various cell types in in vitro cell culture applications.
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The LNCaP cell line is a human prostate adenocarcinoma cell line. It is a well-characterized in vitro model system for the study of prostate cancer.
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The DU145 is a laboratory cell line derived from a human prostate carcinoma. It is widely used in cancer research for the study of cell biology and the development of potential therapies.
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RPMI 1640 medium is a commonly used cell culture medium developed at Roswell Park Memorial Institute. It is a balanced salt solution that provides essential nutrients, vitamins, and amino acids to support the growth and maintenance of a variety of cell types in vitro.
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RWPE-1 is a human prostate epithelial cell line derived from normal prostate tissues. It is a widely used in vitro model for studying prostate cell biology and function.
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RPMI 1640 is a common cell culture medium used for the in vitro cultivation of a variety of cells, including human and animal cells. It provides a balanced salt solution and a source of essential nutrients and growth factors to support cell growth and proliferation.
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DMEM (Dulbecco's Modified Eagle's Medium) is a cell culture medium formulated to support the growth and maintenance of a variety of cell types, including mammalian cells. It provides essential nutrients, amino acids, vitamins, and other components necessary for cell proliferation and survival in an in vitro environment.
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Penicillin/streptomycin is a commonly used antibiotic solution for cell culture applications. It contains a combination of penicillin and streptomycin, which are broad-spectrum antibiotics that inhibit the growth of both Gram-positive and Gram-negative bacteria.
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The RWPE-1 is a human prostate epithelial cell line derived from normal adult human prostatic epithelial cells. The RWPE-1 cells are designed for use in cell biology research.
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Streptomycin is a broad-spectrum antibiotic used in laboratory settings. It functions as a protein synthesis inhibitor, targeting the 30S subunit of bacterial ribosomes, which plays a crucial role in the translation of genetic information into proteins. Streptomycin is commonly used in microbiological research and applications that require selective inhibition of bacterial growth.

More about "Prostate"

The prostate is a crucial glandular organ in the male reproductive system, responsible for producing fluids that are essential for semen production.
Located just beneath the bladder and wrapped around the urethra, the prostate plays a vital role in male sexual function.
Various conditions can affect the prostate, including benign prostatic hyperplasia (BPH), prostatitis, and prostate cancer.
Understanding the prostate's anatomy and physiology is crucial for effective diagnosis and treatment of prostate-related disorders.
Researchers in this field can leverage powerful AI-driven tools like PubCompare.ai to optimize their research efforts.
PubCompare.ai helps researchers identify the most effective protocols and procedures from the literature, including pre-prints and patents, enhancing reproducibility and accuracy.
Prostate research often involves the use of various cell lines, such as FBS, LNCaP, DU145, RPMI 1640 medium, RWPE-1, RPMI 1640, DMEM, and Penicillin/streptomycin.
These tools and resources can be invaluable in advancing our understanding of the prostate and developing effective treatments for prostate-related conditions.
By combining the insights from the MeSH term description and the Metadescription, researchers can gain a comprehensive understanding of the prostate and the tools available to optimize their research.
PubCompare.ai can be a game-changer in this field, helping researchers identify the most effective protocols and procedures from the literature, ultimately leading to more accurate and reproducible results.