31 results about "Gleason scores" patented technology

Clinical information, molecular information and/or computer-generated morphometric information is used in a predictive model for predicting the occurrence of a medical condition. In an embodiment, a model predicts whether a patient is likely to have a favorable pathological stage of prostate cancer, where the model is based on features including one or more (e.g., all) of preoperative PSA, Gleason Score, a measurement of expression of androgen receptor (AR) in epithelial and stromal nuclei and/or a measurement of expression of Ki67-positive epithelial nuclei, a morphometric measurement of a ratio of area of epithelial nuclei outside gland units to area of epithelial nuclei within gland units, and a morphometric measurement of area of epithelial nuclei distributed away from gland units. In some embodiments, quantitative measurements of protein expression in cell lines are utilized to objectively assess assay (e.g., multiplex immunofluorescence (IF)) performance and/or to normalize features for use within a predictive model.

Methods and systems are provided that use clinical information, molecular information and computer-generated morphometric information in a predictive model for predicting the occurrence (e.g., recurrence) of a medical condition, for example, cancer. In an embodiment, a model that predicts prostate cancer recurrence is provided, where the model is based on features including one or more (e.g., all) of biopsy Gleason score, seminal vesicle invasion, extracapsular extension, preoperative PSA, dominant prostatectomy Gleason grade, the relative area of AR+ epithelial nuclei, a morphometric measurement of epithelial nuclei, and a morphometric measurement of epithelial cytoplasm. In another embodiment, a model that predicts clinical failure post-prostatectomy is provided, wherein the model is based on features including one or more (e.g., all) of dominant prostatectomy Gleason grade, lymph node invasion status, one or more morphometric measurements of lumen, a morphometric measurement of cytoplasm, and average intensity of AR in AR+/AMACR− epithelial nuclei.

The invention discloses a device for predicting the bone metastasis risk of newly-diagnosed prostate cancer. According to the device, the risk of bone metastasis is predicted, bone scanning is carried out on patients with high bone metastasis risk and the overuse of the bone scanning is avoided under the condition of not increasing missed diagnosis. The technical scheme provided by the invention is that the device comprises a storage module, four input modules, a processing module and an output module, wherein four input slots are formed in the storage module and are a slot with fixed length, a first slot for sliding, a second slot for sliding and a third slot for sliding respectively; the four input modules are a clinical stage input module placed in the slot with the fixed length, a Gleason scoring input module placed in the first slot for sliding, a PSA (Prostate-Specific Antigen) value input module placed in the second slot for sliding and an age input module placed in the third slot for sliding; the processing module is used for adjusting the positions of the four input modules in the input slots of the storage module to obtain an output locus; and the output module is provided with a staff gauge for predicting a risk value of the bone metastasis, and a corresponding locus of the output locus on the staff gauge is a predicted risk value.

The invention relates to identify prostate cancer. The invention provides a method for predicting the recurrence or aggressiveness of prostate cancer, comprising a) determining the Gleason score of a prostate sample, and b) determining the methylation status of a Marker in a biological sample for those patients having a Gleason score of 7 or greater; wherein methylation that exceeds a pre-determined value is indicative of an aggressive or recurrent cancer and methylation that does not exceed such pre-determined value is indicative of indolent cancer. The invention also provides a kit used for predicting the course or aggressiveness of the prostate cancer, which comprising nucleic acid amplification test reagent and a synopsis which instructs the patients having the Gleason score of 7 or greater in the use of the reagent.

A method for predicting whether a patient suffering from a prostate cancer is at risk of experiencing a cancer progression or recurrence which comprises the steps of : obtaining a Gleason score of said prostate tumor sample; assessing the proportion of NF-kB localized in the nuclei of said tumor sample with regard to all NF-kB present in said tumor sample.

A 3-gene prognostic panel has been identified that together accurately predicted the outcome of low Gleason score prostate tumors as either truly indolent or at a high risk of becoming aggressive. The 3-gene prognostic panel was validated on independent cohorts confirmed its independent prognostic value, as well as its ability to improve prognosis with currently used clinical nomograms. Expression of the 3-gene prognostic panel was determined by quantifying mRNA or protein encoded by the panel (collectively referred to as “prognostic biomarkers”). The prognostic biomarkers were discovered to be up-regulated in indolent tumors and down-regulated in aggressive forms of prostate cancer.

The invention relates to the use of enzymes, nanorods, and nanoelectronic devices to detect cysteine level in a patient sample and relates to the use of the detected cysteine level to predict cancer recurrence in the patient and to prescribe and/or administer an appropriate therapy to a subject. The invention is directed to systems and methods of detecting cysteine level in a sample from a subject, wherein the systems or methods can further comprise measuring at least one additional parameter, such as PSA level, Gleason score and clinical stage. The invention is directed to systems and methods of predicting the probability of a recurrence of a cancer in a subject, wherein the systems or methods can further comprise measuring at least one additional parameter, such as PSA level, Gleason score and clinical stage. The invention further comprises prescribing and/or administering an appropriate therapy to a subject based on the predicted probability of recurrence.

The invention relates to the use of enzymes and nanorods to detect cysteine level in a patient sample and relates to the use of the detected cysteine level to predict cancer recurrence in the patient. The invention is directed to systems and methods of detecting cysteine level in a sample from a subject, wherein the systems or methods can further comprise measuring at least one additional parameter, such as PSA level, Gleason score and clinical stage. The invention is directed to systems and methods of predicting the probability of a recurrence of a cancer in a subject, wherein the systems or methods can further comprise measuring at least one additional parameter, such as PSA level, Gleason score and clinical stage. This invention is directed to systems and methods of predicting the probability of a recurrence of a cancer in a subject and treating the subject, wherein the systems or methods can further comprise measuring at least one additional parameter, such as PSA level, Gleason score and clinical stage.

A method and composition for preventing prostate cancer and/or reducing PSA levels and/or alleviating the symptoms of BPH (Benign Prostatic Hyperplasia) or PIN (prostatic intraepithelial neoplasia) by administration of an effective amount of a mixture of flavopereirine and alstonine. A method and composition for treating low-grade prostate cancer and preventing the onset of metastatic disease and/or reducing the doubling time of PSA levels in men with positive biopsies showing relatively low Gleason scores and morphologies characteristic of non-invasive, slow-progressing prostate cancer. The flavopereirine and alstonine can be in the form of natural extracts derived from Pao Pereira and Rauwolfia Vomitoria, respectively. Alternatively, these two active compounds can be administered in purified form. The composition can be in included in a kit along with instructions for use in a treatment regimen.

Provided is a method of obtaining an index value used for pathological tissue diagnosis of prostate cancer, which method has low invasiveness and can be performed at a low cost. The method is a method of estimating a Gleason score that represents the malignancy of prostate cancer, which method includes: measuring the content of a prostate-specific antigen having an N-acetylgalactosamine residue at a non-reducing terminal of a sugar chain in a sample; and estimating that the Gleason score is 7 or higher when the thus measured value is larger than a threshold value, or estimating that the Gleason score is 6 or lower when the measured value is smaller than a threshold value. The prostate-specific antigen is preferably quantified by a method including the step of binding a molecule having an affinity for β-N-acetylgalactosamine residue, such as Wisteria floribunda lectin, soybean agglutinin, Vicia Villosa lectin or an anti-β-N-acetylgalactosamine antibody, to the prostate-specific antigen.

The invention provides methods and products to detect the presence of unidentified high grade prostate tumors in a subject with a Gleason score 7 prostate tumor. The method comprises obtaining a biological sample from a subject in need thereof, measuring a profile of metabolites in the biological sample, wherein the metabolites are differentially expressed in Gleason score 6 versus Gleason score 8 prostate tumors, and classifying the profile of the metabolites to assign a grade to the sample based on the profile of the metabolites.

The present invention provides methods that are for acquiring various types of supplementary information used for diagnosis or treatment of prostate cancer, and that can be implemented in a less-invasive manner at a low cost. Provided are, by measuring the content of prostate specific antigen (PSA) having a β-N-acetylgalactosamine residue at a non-reducing terminal of a sugar chain in a specimen, and comparing the measured value with a threshold value, (1) a method for estimating whether a Gleason score (primary pattern and secondary pattern) is not less than or less than a prescribed value, (2) a method for estimating whether the pathological stage (pT) is not less than or less than a prescribed value, and (3) a method for acquiring information for assessment indicating diagnosis or treatment should be actively conducted because a GS at gross total removal is expected to be higher than a GS at biopsy.

Early Prostate Cancer Antigen-2 (EPCA-2) is a prostate cancer biomarker, newly identified via proteomics-based examination of alterations in nuclear structure. EPCA-2 shows a higher overall specificity than PSA. Thus, an immunoassay based on antibodies against an epitope of EPCA-2 more accurately differentiates between confined and non-confined disease than PSA or Gleason score.

The invention relates to the technical field of prostate cancer detection, in particular to application of MAPK15 protein in prediction of malignancy degree or prognosis degree of prostate cancer. The invention discloses application of a molecule for detecting MAPK15 protein in preparation of a kit or a detection reagent for predicting the malignancy degree or prognosis degree of prostatic cancer. The invention further discloses a kit for predicting the malignancy degree or prognosis degree of the prostate cancer. The kit comprises an endogenous peroxidase blocking agent, animal non-immune serum, a primary antibody, a biotin-labeled secondary antibody, streptomyces avitin protein-peroxidase, a DAB color developing agent and a phosphate buffer salt solution. The MAPK15 is used as a marker for detecting PSA biochemical recurrence, tumor metastasis and Gleason score (GS) after the prostate cancer operation, and a feasible detection method is provided for predicting prostate cancer progression.