PATENT CLAIM ANALYSIS

Application Number: 15860789
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-05
Patent Classification: ["514", "210180"]

Abstract:
Provided herein are methods of treating a subject having a cancer, methods of selecting a treatment for a subject having a cancer, methods of selecting a subject having a cancer for a treatment that does not include a Trk inhibitor, methods of determining the likelihood that a subject having a cancer will have a positive response to a treatment with a Trk inhibitor, methods of predicting the efficacy of a Trk inhibitor in a subject having cancer, methods of determining a subject's risk for developing a Trk inhibitor-resistant cancer, and methods of determining the presence of a Trk inhibitor-resistant cancer in a subject, based on the detection of a cell from a sample from the subject that has at least one of the the point mutations in NTRK1 and/or NTRK2 and/or NTRK3.

Claim (Index 4):
The method of  claim 1 , further comprising after (b), administering to the subject additional doses (S)\u2014N-(5-((R)-2-(2,5-difluorophenyl)pyrrolidin-1-yl)pyrazolo[1,5-a]pyrimidin-3-yl)-3-hydroxypyrrolidine-1-carboxamide sulfate, (6R,15R)-9-fluoro-15-methyl-2,11,16,20,21,24-hexaazapentacyclo[16.5.2.0 2,6 .0 7,12 .0 21,25 ]pentacosa-1(24),7,9,11,18(25), 19,22-heptaen-17-one, another anticancer agent or anticancer therapy, or a mixture thereof.

Metadata:
- Claim Count in Document: 80.0
- Percentile: 86.0
- Lexical Diversity: 2.56364
- Patent Class: 514.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15785174', '15785228', '15785218', '15622388', '15861017']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8087173185365768
- 35 USC 102 Novelty (BERT): 0.7564350353908452
- Combined Prediction Score: 0.8034890902220037
- Mean Citation Score: 840.608064
- Max Citation Score: 1071.22
- Similarity Product: 864.4953350770472

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

Dataset: test