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 18):
A method of diagnosing hepatocellular carcinoma (HCC) in a subject, comprising:\n a) obtaining treated DNA from a blood sample from the subject; b) contacting the treated DNA with a probe that hybridizes under high stringency conditions to a target sequence of a gene selected from a gene panel consisting of BMPR1A, PSD, ARHGAP25, KLF3, PLAC8, ATXN1, Chromosome 6:170, Chromosome 6:3, ATAD2, and Chromosome 8:20 to generate an amplified product; c) analyzing the amplified product to determine a combined diagnostic score (cd-score), wherein the cd-score correlates to an amount of circulating tumor DNA (ctDNA) present in the blood sample; and d) diagnosing the subject with HCC when the cd-score is elevated relative to a cd-score obtained from a blood sample of a healthy subject.

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): 0.6312623622819923
- 35 USC 102 Novelty (BERT): 0.519971225326818
- Combined Prediction Score: 0.6201332485864749
- Mean Citation Score: 306.334042
- Max Citation Score: 339.3372
- Similarity Product: 264.214064782834

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

Dataset: test