PATENT CLAIM ANALYSIS

Application Number: 15981514
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-09
Patent Classification: ["536", "024310"]

Abstract:
Disclosed herein are methods and reagents for determining the responsiveness of cancer to an epidermal growth factor receptor (EGFR) targeting treatment. The detection of these mutations will allow for the administration of gefitinib, erlotinib and other tyrosine kinase inhibitors to those patients most likely to respond to the drug.

Claim (Index 1):
An assay comprising:\n (a) adding primers specific for at least one of the following nucleotide variances in an epidermal growth factor receptor (EGFR) gene, where the nucleotide variance is selected from:\n i. a mutation in exon 18 that results in a substitution of cysteine for glycine at position 719 (G719C) or in a substitution of serine for glycine at position 719 (G719S) of SEQ ID NO: 512; \n ii. an in-frame deletion in exon 19 that results in a deletion of at least amino acids leucine, arginine, glutamic acid and alanine at codons 747, 748, 749, and 750 of SEQ ID NO: 512; and \n iii. a mutation in exon 21 that results in an amino acid substitution of arginine for leucine at position 858 (L858R) or of glutamine for leucine at position 861 (L861Q) of SEQ ID NO: 512;\n to a biological sample obtained from a human patient afflicted with non-small cell lung cancer; \n \n (b) performing an amplification step to amplify at least part of exon 18, 19, or 21 of the EGFR gene; and (c) detecting whether at least one of the above-described variances is present.

Metadata:
- Claim Count in Document: 33.0
- Percentile: 93.0
- Lexical Diversity: 1.22727
- Patent Class: 536.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14638779', '13896772', '11894160', '11294621', '11894135']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7429287883774627
- 35 USC 102 Novelty (BERT): 0.656558274962581
- Combined Prediction Score: 0.7342917370359745
- Mean Citation Score: 685.39848
- Max Citation Score: 692.37427
- Similarity Product: 610.0188202359093

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

Dataset: test