PATENT CLAIM ANALYSIS

Application Number: 16137324
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-07
Patent Classification: ["506", "009000"]

Abstract:
Provided herein are methods for determining a diagnosis and/or prognosis for prostate cancer using the ratio of FOXC1:FOXA1 in a sample obtained from a subject.

Claim (Index 64):
A method for diagnosing a prostate cancer in a subject, comprising:\n (i) obtaining a tissue sample from said subject, wherein said tissue sample is suspected of comprising prostate cancer cells; (ii) determining the level of FOXA1 protein or nucleic acid in said tissue sample, (iii) determining the level of FOXC1 protein or nucleic acid in said tissue sample, (iv) calculating the ratio of said FOXC1 protein or nucleic acid to said FOXA1 protein or nucleic acid; (v) comparing said ratio to a comparable FOXC1:FOXA1 ratio in a reference population of samples known to comprise prostate cancer cells; and (vi) identifying said subject as having a prostate cancer when the FOXC1:FOXA1 ratio of the subject is equal to or greater than a FOXC1:FOXA1 cutoff ratio, and identifying said subject as not having a prostate cancer when the FOXC1:FOXA1 ratio of the subject is less than the FOXC1:FOXA1 cutoff ratio, wherein the FOXC1:FOXA1 cutoff ratio corresponds to at least the 20th percentile of FOXC1:FOXA1 ratios of the reference population.

Metadata:
- Claim Count in Document: 71.0
- Percentile: 97.0
- Lexical Diversity: 1.12
- Patent Class: 506.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15617333', '14909916', '15271988', '13483176', '13320283']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5485235410880445
- 35 USC 102 Novelty (BERT): 0.5264472902552624
- Combined Prediction Score: 0.5463159160047663
- Mean Citation Score: 270.179616
- Max Citation Score: 342.38446
- Similarity Product: 246.05121922631625

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

Dataset: test