PATENT CLAIM ANALYSIS

Application Number: 15880007
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-08
Patent Classification: ["506", "009000"]

Abstract:
This invention provides methods for amplifying, detecting, measuring, and identifying miRNAs from biological samples, particularly limited amounts of a biological sample. miRNAs that are differentially expressed in tumor samples and normal tissues are useful as cancer biomarkers for cancer diagnostics.

Claim (Index 11):
A method of selecting a treatment for a nasopharyngeal carcinoma patient, the method comprising the steps of:\n measuring miR-29c, miR-34b, miR-34c, miR-151, miR-192, miR-212, miR-216, and miR-217 miRNA expression levels in a diseased tissue sample taken from the nasopharyngeal area of a patient; detecting differential expression of the miR-29c, miR-34b, miR-34c, miR-151, miR-192, miR-212, miR-216, and miR-217 miRNA expression levels in the patient; and selecting a treatment for the nasopharyngeal carcinoma patient based on the differential expression levels of miR-29c, miR-34b, miR-34c, miR-151, miR-192, miR-212, miR-216, and miR-217 miRNAs, wherein the treatment comprises administration of a therapeutically effective amount of a combination of chemotherapy and a selection of one or more of miR-29c, miR-29a, miR-29b, miR-34c, miR-34b, miR-212, miR-216, miR-217, miR-151, and miR-192 miRNAs.

Metadata:
- Claim Count in Document: 20.0
- Percentile: 86.0
- Lexical Diversity: 1.31429
- Patent Class: 506.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13129289', '13387314', '13032377', '14592699', '12310509']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6363124724321466
- 35 USC 102 Novelty (BERT): 0.5316836574153823
- Combined Prediction Score: 0.6258495909304702
- Mean Citation Score: 348.111664
- Max Citation Score: 367.98816
- Similarity Product: 256.28043903511053

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