PATENT CLAIM ANALYSIS

Application Number: 15910857
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-09
Patent Classification: ["435", "006100"]

Abstract:
Disclosed herein, in certain embodiments, are methods and kits for diagnosing a subject as having hepatocellular carcinoma (HCC) or lung cancer. In some instances, also described herein are methods of determining the prognosis of the subject having HCC or lung cancer. In additional instances, described herein are methods of determining the specific staging of HCC or lung cancer in a subject.

Claim (Index 1):
A method of detecting the methylation status of one or more genes of a gene panel in a subject, comprising:\n a) processing a biological sample obtained from the subject with a deaminating agent to generate treated DNA comprising deaminated nucleotides; and b) detecting the methylation status in a gene selected from the gene panel consisting of BMPR1A, PSD, ARHGAP25, KLF3, PLAC8, ATXN1, Chromosome 6:170, Chromosome 6:3, ATAD2, Chromosome 8:20, SH3PXD2A, C11orf9, PPFIA1, Chromosome 17:78, SERPINB5, NOTCH3, GRHL2, and TMEM8B by\n i) contacting the treated DNA with a probe that hybridizes under high stringency conditions to a target sequence of the gene to generate an amplified product; and \n ii) analyzing the amplified product to determine the methylation status of the gene.

Metadata:
- Claim Count in Document: 37.0
- Percentile: 90.0
- Lexical Diversity: 1.89189
- Patent Class: 435.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15435174', '14986520', '14079649', '13408338', '15839318']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6311760913723932
- 35 USC 102 Novelty (BERT): 0.518519419320567
- Combined Prediction Score: 0.6199104241672105
- Mean Citation Score: 306.334042
- Max Citation Score: 339.3372
- Similarity Product: 283.70991612482067

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