PATENT CLAIM ANALYSIS

Application Number: 15952379
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-08
Patent Classification: ["436", "518000"]

Abstract:
Methods and compositions are provided for diagnosing ectopic pregnancy in a mammalian subject by detecting changes in expression of ISM2, ADAM12, PST1, PSG7, PST11, PSG9, PSG2 and other genes identified therein, including combinations thereof. A selected gene, gene transcript or protein/peptide expression product, or profiles or signatures formed by combinations of same, detected in a biological fluid of a subject, enables comparison of the corresponding genes, proteins or profiles from that of a reference or control having a normal intrauterine pregnancy. Detection of characteristic changes in the gene profile or protein expression signature of the subject is correlated with a diagnosis of ectopic pregnancy. Various compositions for use in such diagnosis include PCR primer-probe sets or ligands, labeled or immobilized, which are capable of detecting the changes in expression or translation of these targets.

Claim (Index 2):
The method according to  claim 1 , wherein said change in expression level of each said selected protein or peptide comprises an upregulation in comparison to said reference or control or a downregulation in comparison to said reference or control.

Metadata:
- Claim Count in Document: 3.0
- Percentile: 91.0
- Lexical Diversity: 1.80952
- Patent Class: 436.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15386714', '13397442', '15884691', '14045452', '13467661']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6811440714862782
- 35 USC 102 Novelty (BERT): 0.6671077756124606
- Combined Prediction Score: 0.6797404418988965
- Mean Citation Score: 444.073864
- Max Citation Score: 663.9117
- Similarity Product: 654.8842079306422

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

Dataset: test