PATENT CLAIM ANALYSIS

Application Number: 15925500
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-09
Patent Classification: ["514", "04400A"]

Abstract:
The disclosure provides methods for predicting and/or determining whether a subject has cancer based on the level of expression of BPTF. The disclosure also provides methods for determining whether a cancer in a subject is progressing or regressing based upon the change of expression levels of BPTF between two time points. The disclosure further provides methods to treat a subject with a cancer by administering a polynucleotide comprising an inhibitory BPTF nucleic acid and/or an agent that inhibits the expression or activity of BPTF.

Claim (Index 5):
A method of determining whether a subject has a cancer, comprising:\n (i) obtaining a biological sample from a subject; (ii) measuring the level of BPTF in the subject's sample comprising (a) performing quantitative RT-PCR using primer pairs to amplify BPTF or (b) converting RNA in the biological sample to aminoallyl-modified cDNA and labelling the cDNA with a dye followed by hybridizing the labeled cDNA to a microarray chip; (iii) comparing the level of BPTF in the subject's sample with the mean level of BPTF from one or more control biological samples; and (iv) determining whether the subject has cancer based on having a significantly lower (or higher) level for BPTF in comparison to the mean levels for BPTF in the controls.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 90.0
- Lexical Diversity: 1.74
- Patent Class: 514.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14107306', '11635029', '13569845', '13324669', '14744629']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7644238782619295
- 35 USC 102 Novelty (BERT): 0.514652283056364
- Combined Prediction Score: 0.7394467187413729
- Mean Citation Score: 275.277668
- Max Citation Score: 294.26944
- Similarity Product: 200.9411163058472

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

Dataset: test