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 1):
A method for determining amounts of lipids in a human suspected of having breast cancer, breast disease, or lung cancer comprising:\n providing a sample comprising a bodily fluid from the human suspected of having breast cancer, breast disease, or lung cancer; isolating exosomes from the sample; determining the amounts of lipids in a lipid set comprising at least five lipids from the isolated exosomes; and comparing the amounts of lipids in the lipid set from the isolated exosomes to a control lipid profile using a predictive model, wherein the at least five lipids are selected from the group consisting of phosphatidyl inositol bisphosphate (PIP2), phosphatidyl inositol phosphate (PIP), Monogalactosyldiacylglycerol (MGDG), Monogalactosylmonoacylglycerol (MGMG), phosphoethanolamine (Pet), neutral glycosphingolipid (CerG2GNAc1), cyclic phosphatidyl acid (cPA), lysophosphoethanolamine (LPet), phosphosphingomyelin (phSM), and phosphomethanol (PMe), cholesterol esters (CE), triacylglyceride (TAG), lysophosphatidylcholine (Lyso-PC), lysophosphatidylcholine-plasmalogen (LysoPC-pmg), phosphatidyl choline (PC), and sphingomyelin (SM).

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): 0.56841889370118
- 35 USC 102 Novelty (BERT): 0.5044451378261491
- Combined Prediction Score: 0.562021518113677
- Mean Citation Score: 217.087722
- Max Citation Score: 235.64522
- Similarity Product: 150.2986315382254

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

Dataset: test