PATENT CLAIM ANALYSIS

Application Number: 16022597
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-12
Patent Classification: ["435", "006100"]

Abstract:
The present invention relates in general to the field of colorectal cancer detection, and more particularly, to plasma microRNAs for the detection of early colorectal cancer. Specifically, the present invention includes methods, kits and biomarkers for diagnosing or detecting colorectal neoplasia in a human subject comprising the steps of: A method for diagnosing or detecting colorectal neoplasia in a human subject comprising the steps of: obtaining one or more biological samples from the subject suspected of suffering from colorectal neoplasia; measuring an overall expression pattern or level of one or more microRNAs obtained from the one or more biological samples of the subject; and comparing the overall expression pattern of the one or more microRNAs from the biological sample of the subject suspected of suffering from colorectal neoplasia with the overall expression pattern of the one or more microRNAs from a biological sample of a normal subject, wherein the normal subject is a healthy subject not suffering from colorectal neoplasia, wherein overexpression of a combination of miR19a and miR19b, or miR19a and miR19b and miR15b is indicative of colorectal cancer.

Claim (Index 38):
A method for treating colorectal cancer in a patient, said method comprising:\n a. obtaining a plasma sample from a human patient; b. detecting whether miRNA-15b is present at an overexpressed level in the plasma sample; c. diagnosing the patient with a right-sided colorectal cancer tumor when the overexpressed presence of miRNA-15b in the plasma sample is detected; and d. administering a treatment to the diagnosed patient to treat the right-sided tumor.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 94.0
- Lexical Diversity: 2.83824
- Patent Class: 435.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14367827', '15318312', '15550416', '13376281', '13376225']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6089488696195188
- 35 USC 102 Novelty (BERT): 0.5449431272253055
- Combined Prediction Score: 0.6025482953800975
- Mean Citation Score: 360.42228400000016
- Max Citation Score: 400.20612
- Similarity Product: 294.629731796279

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

Dataset: test