PATENT CLAIM ANALYSIS

Application Number: 15891496
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["424", "093210"]

Abstract:
The present invention relates to methods of developing genetically engineered, preferably non-alloreactive T-cells for immunotherapy. This method involves the use of RNA-guided endonucleases, in particular Cas9/CRISPR system, to specifically target a selection of key genes in T-cells. The engineered T-cells are also intended to express chimeric antigen receptors (CAR) to redirect their immune activity towards malignant or infected cells. The invention opens the way to standard and affordable adoptive immunotherapy strategies using T-Cells for treating cancer and viral infections.

Claim (Index 53):
A method of preparing and administering T-cells for immunotherapy comprising the steps of:\n (a) providing primary human T-cells from a donor, (b) genetically modifying the primary human T-cells to eliminate expression of the T-cell receptor by introduction and/or expression into the cells of at least: an RNA-guided endonuclease fused to a nuclear localization signal (NLS) that acts to drive the protein to the nucleus through the Nuclear Pore Complex; and a specific guide RNA that directs said endonuclease to at least one targeted locus in the T-cell genome, (c) expanding the genetically modified T-cells, and (d) administering at least 10 4  of the expanded genetically modified T-cells to a patient.

Metadata:
- Claim Count in Document: 59.0
- Percentile: 88.0
- Lexical Diversity: 1.33333
- Patent Class: 424.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15045368', '14892934', '14051244', '15864984', '15120060']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7453202040923471
- 35 USC 102 Novelty (BERT): 0.5591188358747586
- Combined Prediction Score: 0.7267000672705883
- Mean Citation Score: 348.537274
- Max Citation Score: 435.2522
- Similarity Product: 387.1364502075672

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

Dataset: test