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 26):
An isolated genetically-modified human T cell in which a T-cell receptor (TCR) alpha gene has been modified by cleavage and integration into the TCR alpha constant chain region of an exogenous nucleic acid successively comprising:\n a first region of homology to sequences upstream of said cleavage, an exogenous polynucleotide sequence encoding a Chimeric Antigen Receptor, and a second region of homology to sequences downstream of said cleavage, 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 integration results in reduced TCR expression on the cell surface.

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): 0.8278536523660589
- 35 USC 102 Novelty (BERT): 0.6814750771925412
- Combined Prediction Score: 0.8132157948487072
- Mean Citation Score: 730.8266540000003
- Max Citation Score: 856.20294
- Similarity Product: 654.5367503418231

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