According to GlobalData’s company profile on Veracyte, ML-based biomarker screening was a key innovation area identified from patents. Veracyte‘s grant share as of January 2024 was 26%. Grant share is based on the ratio of number of grants to total number of patents.
Diagnosis and treatment of homologous recombination deficiency prostate cancer
A patent application (Publication Number: US20240002944A1) outlines a method for diagnosing and treating prostate cancer based on the expression levels of specific nucleic acid targets. The method involves obtaining a biological sample from a subject with prostate cancer, detecting the expression levels of targets listed in Table 6 or Table 7, and prognosing the patient with homologous recombination deficiency prostate cancer. If the patient is determined to have this type of cancer, treatment with a PARP inhibitor is recommended. Additionally, the method includes administering alternative anti-cancer treatments if the expression levels indicate the absence of homologous recombination deficiency prostate cancer, such as surgery, chemotherapy, or immunotherapy.
Furthermore, the patent application describes a kit for identifying, diagnosing, and prognosing prostate cancer in a subject. The kit includes agents for detecting the presence or expression levels of specific targets, reagents for various detection methods like in situ hybridization or PCR-based methods, and probes capable of hybridizing to target nucleic acids. The kit also provides information on determining the subject’s responsiveness to anti-cancer therapy and includes control reference samples for accuracy. Additionally, a probe set and system for analyzing prostate cancer are detailed, incorporating a computer model for determining the presence of homologous recombination deficiency prostate cancer based on nucleic acid expression levels. Overall, the patent application offers a comprehensive approach to diagnosing and treating prostate cancer based on specific gene expression patterns.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies