PATENT CLAIM ANALYSIS

Application Number: 15761637
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-12
Patent Classification: ["436", "501000"]

Abstract:
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.

Claim (Index 3):
The method of estimating a Gleason score according to  claim 2 , wherein said molecule having an affinity for a \u03b2-N-acetylgalactosamine residue is  Wisteria floribunda  lectin (WFA), soybean agglutinin (SBA),  Vicia Villosa  lectin (VVL), or an anti-\u03b2-N-acetylgalactosamine antibody.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 90.0
- Lexical Diversity: 1.94118
- Patent Class: 436.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15108283', '15108286', '15005964', '13505280', '15320118']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7227481306915072
- 35 USC 102 Novelty (BERT): 0.5043092219974096
- Combined Prediction Score: 0.7009042398220975
- Mean Citation Score: 293.45673
- Max Citation Score: 313.49207
- Similarity Product: 242.4917857994795

Labels:
- Claim Label 101: 0
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test