Search Results - paul+boutros

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2021-319 GENOMIC COPY NUMBER ABERRATIONS IN ZNRF3 AS PROGNOSTIC AND PREDICTIVE BIOMARKERS FOR LOCALIZED PROSTATE CANCER

SUMMARY: Researchers from UCLA’s Departments of Human Genetics and Urology have identified a novel biomarker and actionable target for prostate cancer metastasis. BACKGROUND: Prostate cancer is one of the most commonly diagnosed cancers and the second leading cause of cancer death in men. Although most men present with localized, potentially...

Published: 9/5/2023 | Inventor(s): Michael Fraser, Paul Boutros

Keywords(s):

Category(s): Diagnostic Markers, Therapeutics > Oncology

2021-201 GERMLINE DETERMINANTS OF THE PROSTATE TUMOR GENOME

SUMMARY: Researchers from UCLA’s Departments of Human Genetics and Urology have developed a novel method to predict disease susceptibility and aggression of multiple hereditary cancer types in individuals which will inform more personalized and effective therapies. BACKGROUND: The American Cancer Society reports that approximately 40% of people...

Published: 9/5/2023 | Inventor(s): Paul Boutros, Kathleen Houlahan

Keywords(s):

Category(s): Diagnostic Markers, Therapeutics > Oncology

2020-182 MITOCHONDRIAL DNA PROSTATE CANCER MARKER AND RELATED SYSTEMS AND METHODS

Researchers in UCLA Department of Human Genetics have developed a novel method of using the mitochondrial genome of prostate cancer patients to predict which tumours are likely to become lethal.BACKGROUND:Prostate cancer remains the most prevalent non-skin cancer in men. Most studies of the prostate cancer genome focused on mutations in the nuclear...

Published: 7/19/2023 | Inventor(s): Paul Boutros, Robert Bristow

Keywords(s): Artifical Intelligence (Machine Learning, Data Mining), Bioinformatics, Diagnostic Markers & Platforms, Diagnostic Platform Technologies (E.G. Microfluidics), Life Science Research Tools, Oncology, Research Methods, Software, Software & Algorithms

Category(s): Life Science Research Tools > Research Methods, Platforms > Diagnostic Platform Technologies, Therapeutics > Oncology, Software & Algorithms > Bioinformatics, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Programs

2020-162 GERMLINE DETERMINANTS OF PROSTATE CANCER AGGRESSION

UCLA researchers in the Department of Human Genetics & Urology, have created a new statistical strategy to identify 1,178 new inherited biomarkers in treatment-naïve prostate cancer patients, that are able to predict how prostate cancer will progress.BACKGROUND: The Centers for Disease Control and Prevention estimate that new cancer diagnoses...

Published: 7/19/2023 | Inventor(s): Paul Boutros

Keywords(s): Diagnostic Markers & Platforms, Oncology

Category(s): Therapeutics > Oncology

2020-181 BIOPSY-DRIVEN GENOMIC SIGNATURE FOR PROSTATE CANCER PROGNOSIS

Researchers at UCLA and in Canada have developed a novel biopsy-driven genomic signature for prostate cancer prognosis.BACKGROUND:Prostate cancer is the second most common cause of male cancer deaths in North America. While most prostate cancers are indolent and are unlikely to cause, about 30% of men will experience an aggressive cancer that will recur...

Published: 7/19/2023 | Inventor(s): Paul Boutros, Robert Bristow

Keywords(s): Diagnostic Markers & Platforms, Oncology

Category(s): Therapeutics > Oncology

2020-183 CANCER RISK BASED ON TUMOUR CLONALITY

Researchers from the Ontario Institute for Cancer Research, the University Health Network, and the UCLA Department of Human Genetics have created a novel method to determine whether a cancer will be lethal or not based on tumor clonality. BACKGROUND:Cancer occurs from the accumulation of mutations within a cell that cause the cell to behave in an abnormal,...

Published: 7/19/2023 | Inventor(s): Shadrielle Melijah Espiritu, Paul Boutros

Keywords(s): Diagnostic Markers & Platforms, Oncology

Category(s): Therapeutics > Oncology