PATENT CLAIM ANALYSIS

Application Number: 15947192
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-08
Patent Classification: ["435", "006110"]

Abstract:
The present invention relates to methods for predicting, diagnosing and monitoring cancer. The methods comprise obtaining biological samples, extracting mitochondrial DNA (mtDNA) from the samples, quantifying mitochondrial DNA mutation in the sample and comparing the level of mtDNA mutation with a reference value. The methods of the invention may also be effective in screening for new therapeutic agents and treatment regimes, and may also be useful for monitoring the response of a subject to a preventative or therapeutic treatment.

Claim (Index 1):
A method of detecting breast or prostate cancer, or a genetic predisposition to breast or prostate cancer, in a human subject, the cancer being characterized by an elevated amount of mitochondrial DNA (mtDNA) having a deletion of 3926 base pairs within a region of mtDNA between nucleotides 12317 and 16254, with respect to SEQ ID NO. 3, of the human mtDNA genome, the method comprising:\n a) contacting mtDNA extracted from a biological sample from the subject with at least one binding agent that specifically binds to a sequence of mtDNA having a spliced region after removal of the deletion; b) quantifying the amount of mtDNA having the deletion by quantifying the amount of mtDNA bound to the at least one binding agent; and, c) detecting said cancer or said predisposition to cancer where the quantified amount of mtDNA having the deletion is elevated in relation to at least one known reference value.

Metadata:
- Claim Count in Document: 26.0
- Percentile: 91.0
- Lexical Diversity: 1.69231
- Patent Class: 435.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15470175', '14470627', '11975390', '14627755', '13260497']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6283712612335328
- 35 USC 102 Novelty (BERT): 0.5559575965009989
- Combined Prediction Score: 0.6211298947602795
- Mean Citation Score: 362.00128
- Max Citation Score: 439.74933
- Similarity Product: 376.3752349444664

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

Dataset: test