PATENT CLAIM ANALYSIS

Application Number: 15910988
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-09
Patent Classification: ["424", "133100"]

Abstract:
The disclosure relates to polypeptides and pharmaceutical compositions comprising polypeptides that find use in the prevention or treatment of cancer, in particular breast cancer, ovarian cancer and colorectal cancer. The disclosure also relates to methods of inducing a cytotoxic T cell response in a subject or treating cancer by administering pharmaceutical compositions comprising the peptides, and companion diagnostic methods of identifying subjects for treatment. The peptides comprise T cell epitopes that are immunogenic in a high percentage of patients.

Claim (Index 11):
A method of identifying and treating a human subject having cancer who will likely have a clinical response to administration of a pharmaceutical composition according to  claim 1 , the method comprising\n (i) assaying a biological sample of the subject to determine HLA genotype of the subject; (ii) determining that the pharmaceutical composition comprises two or more sequences that are a T cell epitope capable of binding to at least three HLA class I molecules of the subject; (iii) determining the probability that a tumor of the subject expresses one or more antigen corresponding to the T cell epitopes identified in step (ii) using population expression data for each antigen, to identify the likelihood of the subject to have a clinical response to administration of the pharmaceutical composition; and (iv) administering the composition of  claim 1  to the identified subject.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 90.0
- Lexical Diversity: 1.7
- Patent Class: 424.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['14766685', '14424702', '13993291', '12967606', '10543755']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7477016244367247
- 35 USC 102 Novelty (BERT): 0.5284357706281453
- Combined Prediction Score: 0.7257750390558668
- Mean Citation Score: 348.740696
- Max Citation Score: 354.5367
- Similarity Product: 242.9553971348584

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