PATENT CLAIM ANALYSIS

Application Number: 16370250
Application Type: Utility
Filing Date: 2019-03
Publication Date: 2019-09
Patent Classification: ["424", "185100"]

Abstract:
The present invention relates to peptides, nucleic acids and cells for use in immunotherapeutic methods. In particular, the present invention relates to the immunotherapy of cancer. The present invention furthermore relates to tumor-associated cytotoxic T cell (CTL) peptide epitopes, alone or in combination with other tumor-associated peptides that serve as active pharmaceutical ingredients of vaccine compositions that stimulate anti-tumor immune responses. The present invention relates to several novel peptide sequences and their variants derived from HLA class I and HLA class II molecules of human tumor cells that can be used in vaccine compositions for eliciting anti-tumor immune responses.

Claim (Index 1):
A method of eliciting an immune response in a patient who has cancer, comprising administering to the patient a population of activated T cells that selectively recognize cells, which present a peptide consisting of the amino acid sequence selected from SEQ ID NO: 35, from SEQ ID NO: 2 to SEQ ID NO: 34, and from SEQ ID NO: 36 to SEQ ID NO: 605, wherein the peptide is in a complex with an MHC molecule,\n wherein said cancer is selected from acute myeloid leukemia, chronic lymphatic leukemia, colon cancer, renal cell carcinoma, hepatocellular carcinoma, glioblastoma, stomach cancer, non-Hodgkin's lymphoma, breast cancer, non-small cell lung carcinoma, ovarian cancer, pancreatic cancer, prostate cancer, bone cancer, and uterine cervix cancer.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 99.0
- Lexical Diversity: 1.58824
- Patent Class: 424.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['16032231', '14707230', '16126751', '16179677', '16126663']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7600975922659676
- 35 USC 102 Novelty (BERT): 0.6828752926697815
- Combined Prediction Score: 0.752375362306349
- Mean Citation Score: 536.040312
- Max Citation Score: 784.9522
- Similarity Product: 652.3090103120802

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