PATENT CLAIM ANALYSIS

Application Number: 15872434
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-06
Patent Classification: ["424", "174100"]

Abstract:
Provided herein are methods for identifying a subject with an increased likelihood of developing or having metastatic papillary thyroid cancer (PTC), or a subject with an increased likelihood of developing or having recurrent PTC, and the treatment of such a subject.

Claim (Index 47):
A method comprising:\n a) obtaining a sample from a subject with thyroid cancer; b) processing said sample; c) performing an analyte binding assay comprising contacting the processed sample with a reagent to form a complex between the reagent and the biomarker present in the sample; d) generating a result using instrumentation configured to detect said complex, said result indicative of the amount or concentration of said complex formed to determine the amount or concentration of said biomarker in the sample; and e) administering a treatment for metastatic papillary thyroid cancer to said subject when the amount of the biomarker in the sample is greater than that in a control sample, wherein said biomarker is PDGFR-\u03b1, wherein said treatment comprises administering an inhibitor of PDGFR-\u03b1 to said subject; and surgical resection, radio therapy, chemotherapy, or combinations thereof.

Metadata:
- Claim Count in Document: 8.0
- Percentile: 86.0
- Lexical Diversity: 1.53333
- Patent Class: 424.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14376081', '15304394', '12082762', '13464494', '12660444']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6550043476701926
- 35 USC 102 Novelty (BERT): 0.5758940345242595
- Combined Prediction Score: 0.6470933163555992
- Mean Citation Score: 279.316054
- Max Citation Score: 478.2246
- Similarity Product: 368.5162951926112

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