PATENT CLAIM ANALYSIS

Application Number: 15908500
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["506", "012000"]

Abstract:
Provided herein are methods of detecting lipids in humans suspected of having cancer, in particular detecting lipids in samples from a human suspected of having breast or lung cancer.

Claim (Index 16):
A method of evaluating a blood sample from a patient comprising the steps of:\n a. obtaining the blood sample from the patient; b. isolating an exosomal fraction from the blood sample; c. measuring levels for two or more lipids in the exosomal fraction to generate test data; d. applying an algorithm to the measured levels of step (c), wherein the algorithm correlates the measured levels of step (c) with lipid data obtained from a plurality of samples, wherein the plurality of samples comprises samples from patients with non-small cell lung cancer (NSCLC) and without cancer; e. based on the applied algorithm, (i) identifying the patient as having an increased probability of early stage cancer, (ii) identifying the patient as having an increased likelihood of late stage cancer, or (iii) identifying the patient as normal, wherein said algorithm uses lipid data of at least three of the following lipids: PC(18:2/18:1), PC(18:2/18:0), PC(22:6/16:0), PC(18:2/16:0), SM(18:1/16:0), PC(20:3/18:0), PC(20:4/16:0), PC(22:5/16:0), CE(20:4), TAG(18:1/18:2/16:2), SM(18:1/24:1), PC(18:1/18:0), PC(16:0/16:0), TAG(18:2/16:0/20:4), LysoPC(16:0), and LysoPC-pmg(12:0); and f treating the patient on the basis of step (d), wherein the algorithm is a trained algorithm trained by the lipid data obtained from the plurality of samples.

Metadata:
- Claim Count in Document: 23.0
- Percentile: 88.0
- Lexical Diversity: 1.40909
- Patent Class: 506.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13849885', '13009285', '15801269', '15834879', '15177747']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5695703320273564
- 35 USC 102 Novelty (BERT): 0.4993801078959388
- Combined Prediction Score: 0.5625513096142147
- Mean Citation Score: 217.087722
- Max Citation Score: 235.64522
- Similarity Product: 161.57309254597186

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