PATENT CLAIM ANALYSIS

Application Number: 15875362
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-08
Patent Classification: ["506", "009000"]

Abstract:
A method of diagnosing cancer in a mammal is provided. The method includes the steps of determining in a nucleic acid-containing sample from the mammal the degree of DNA methylation of a target region within the hTERT promoter from the nucleotide at about position −157 to the nucleotide at about position −580, or a corresponding target region in a TERT promoter in a mammal other than a human, to yield a sample methylation signature, determining the baseline degree of DNA methylation of the target region in a control sample to yield a control methylation signature, comparing the sample methylation signature to the control methylation signature and rendering a diagnosis of cancer when there is at least 1.5 times more methylation in the sample methylation signature as compared to the control methylation signature. Methods of determining tumour grade and progression, predicting survival and determining whether or not a mammal is a candidate for telomerase-targeted or demethylation therapy are also provided.

Claim (Index 3):
The method of  claim 1 , wherein there is at least 3 times more methylation in the sample methylation signature as compared to the control methylation signature.

Metadata:
- Claim Count in Document: 15.0
- Percentile: 86.0
- Lexical Diversity: 2.28767
- Patent Class: 506.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14403802', '13796864', '14180239', '14407541', '11667628']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5642557100571609
- 35 USC 102 Novelty (BERT): 0.6568630423981745
- Combined Prediction Score: 0.5735164432912623
- Mean Citation Score: 338.411278
- Max Citation Score: 609.5144
- Similarity Product: 606.7058815779686

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

Dataset: test