PATENT CLAIM ANALYSIS

Application Number: 16027629
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2018-12
Patent Classification: ["424", "093710"]

Abstract:
Methods for developing engineered T-cells for immunotherapy that are both non-alloreactive and resistant to immunosuppressive drugs. The present invention relates to methods for modifying T-cells by inactivating both genes encoding target for an immunosuppressive agent and T-cell receptor, in particular genes encoding CD52 and TCR. This method involves the use of specific rare cutting endonucleases, in particular TALE-nucleases (TAL effector endonuclease) and polynucleotides encoding such polypeptides, to precisely target a selection of key genes in T-cells, which are available from donors or from culture of primary cells. The invention opens the way to standard and affordable adoptive immunotherapy strategies for treating cancer and viral infections.

Claim (Index 32):
An isolated genetically-modified human T cell, comprising an exogenous polynucleotide sequence encoding a Chimeric Antigen Receptor inserted into the T-cell receptor (TCR) alpha constant chain region in the genome of said cell;\n wherein the Chimeric Antigen Receptor comprises a binding domain against a tumor antigen present on a target cell, wherein the cell expresses the Chimeric Antigen Receptor, and wherein the cell has reduced TCR expression on the cell surface when compared to normal T lymphocytes.

Metadata:
- Claim Count in Document: 8.0
- Percentile: 95.0
- Lexical Diversity: 1.49351
- Patent Class: 424.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15659792', '14403937', '14018021', '15711289', '15864984']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8229599828654142
- 35 USC 102 Novelty (BERT): 0.7021175043692129
- Combined Prediction Score: 0.810875735015794
- Mean Citation Score: 730.8266540000003
- Max Citation Score: 856.20294
- Similarity Product: 709.6317330951082

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

Dataset: test