PATENT CLAIM ANALYSIS

Application Number: 16044636
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2018-11
Patent Classification: ["435", "007100"]

Abstract:
A method of determining the suitability of a subject to a treatment with an anti-amphiregulin antibody, wherein the subject has a cancer selected from the group consisting of ovarian cancer, head and neck cancer and pancreatic cancer exhibiting resistance to chemotherapy, is provided. The method comprising analyzing in a biological sample of the subject expression level of amphiregulin, transforming growth factor alpha (TGF-alpha) and heparin-binding epidermal growth factor (HB-EGF), wherein a level of expression of the amphiregulin above a predetermined threshold and no expression of the TGF-alpha and/or the HB-EGF or an expression below a predetermined level of the TGF-alpha and/or the HB-EGF is indicative of the suitability of the subject to treatment with the anti-amphiregulin antibody. Methods for treating cancer are also provided, as well as antibodies and pharmaceutical compositions.

Claim (Index 11):
The method of  claim 7 , wherein said subject is characterized by an expression level of amphiregulin above a predetermined threshold and optionally no expression of TGF-alpha and/or HB-EGF or an expression below a predetermined level of said TGF-alpha and/or said HB-EGF as compared to a healthy subject.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 95.0
- Lexical Diversity: 2.05714
- Patent Class: 435.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['13641174', '13488270', '12464057', '14055222', '15508112']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6126958810479012
- 35 USC 102 Novelty (BERT): 0.538290035456375
- Combined Prediction Score: 0.6052552964887485
- Mean Citation Score: 339.08681399999995
- Max Citation Score: 367.096
- Similarity Product: 220.30557108592987

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

Dataset: test