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Diagnostic biomarkerの製品一覧

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Hirosaki University Technology: Diagnostic Biomarker for Urothelial Carcinoma: K23-016

Discovery of N-linked glycan mutations in serum Ig specific to urothelial carcinoma.

The present invention relates to a diagnostic biomarker for urinary tract urothelial carcinoma based on serum immunoglobulin (Ig) N-binding glycan structural mutations. The diagnosis of urinary tract urothelial carcinoma (bladder cancer and renal pelvis/ureter cancer) is performed through urine cytology, imaging diagnostics, and invasive procedures such as cystoscopy and ureteroscopy with biopsy. However, the sensitivity and specificity are not sufficient, and there is a demand for a novel non-invasive marker that can detect urinary tract urothelial carcinoma at an early stage. Therefore, the inventors identified urinary tract urothelial carcinoma-specific glycan mutations and demonstrated that the disease can be detected with high accuracy by scoring the related glycans (see right figure). Additionally, they identified two types of lectins that can distinguish upper urinary tract urothelial carcinoma using a lectin array, enabling the entire process from serum collection to analysis to be completed in four hours. 【Advantages over prior art】 - As a serum marker, it is less invasive than cystoscopy. - Diagnostic accuracy far exceeds that of urine cytology, with AUC > 0.9. - Intended for use as an early diagnostic marker for urinary tract urothelial carcinoma.

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Tohoku University Technology: Diagnostic Marker for Optic Nerve Disorders: T17-035

Identifying markers from samples of glaucoma model mice. Currently acquiring human clinical sample data.

A representative example of optic nerve disorders is glaucoma. Glaucoma has no subjective symptoms, so patients may not notice it as the condition progresses, potentially leading to blindness in the worst cases. Traditionally, the diagnosis of glaucoma has primarily involved fundus examinations, which are not easy methods and are not high-throughput diagnostic methods. The inventors conducted metabolome analysis using the retinas of glaucoma model mice (optic nerve crush mice) and identified several markers that change with the progression of glaucoma. The identified markers are expected to be utilized as markers for optic nerve disorders such as glaucoma. Currently, data is being collected from human clinical samples (such as blood). There are unpublished data (human blood sample data).

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