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A method for identifying effective tumor neoantigens

A tumor and antigen technology, applied in biochemical equipment and methods, microbial determination/inspection, etc., can solve problems such as difficult immunogenicity, and achieve the effect of shortening in vitro test cycle, low false screening rate, and reducing the number of tests

Active Publication Date: 2022-03-25
WUHAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, at the individual level, the number of tumor mutations is large, and it is difficult to quickly and accurately find the mutant antigen (neoantigen) that is immunogenic, that is, can be presented by the patient's own MHC and recognized by T cells.

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  • A method for identifying effective tumor neoantigens
  • A method for identifying effective tumor neoantigens
  • A method for identifying effective tumor neoantigens

Examples

Experimental program
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Embodiment 1

[0035] Peptides are classified by mutation position:

[0036] (1) Take tumor tissue and normal tissue samples for whole genome or exome sequencing respectively;

[0037] (2) The mutation position of tumor tissue is obtained by comparative calculation;

[0038] (3) Intercept a 25-peptide polypeptide fragment with 12 residues left and right centered on the mutation position (the length can also be appropriately increased or decreased);

[0039] (4) inputting the clipped segment into the MHC binding prediction algorithm, the present embodiment takes NetMHC 4.0 as an example;

[0040] (5) Select the polypeptide containing the mutation position in the output result (the predicted binding force is higher);

[0041] (6) Classify the above-mentioned polypeptides. The classification is based on the type of mutation position, which is divided into anchor site mutation type, non-anchor site MHC contact type and TCR contact type.

[0042] This example takes the human melanoma mutant pr...

Embodiment 2

[0045] In this example, the human melanoma mutant protein TNR is taken as an example. The mutant polypeptide sequence FWLVDLLPST predicted by NetMHC 4.0 (the wild-type polypeptide is FRLVDLLPST, and the second position is mutated from the wild-type arginine (Arg) residue to tryptophan ( Trp) has a good binding ability to human MHC subtype HLA-A*02:01 (NetMHC4.0 predicted result is 45.1nM).

[0046] Generally, polypeptides bind to the HLA-A*02:01 subtype using the second and last positions as anchor sites. Statistics of the tendency of polypeptide residues in the second and last positions of HLA-A*02:01 show that the second position tends to use leucine (Leu), and the last position tends to use valine (Val) and leucine. acid (Leu) and isoleucine (Ile).

[0047] In this example, the mutation position of the mutant polypeptide FWLVDLLPST is the second position. Based on the above classification rules, this polypeptide can be classified as a new polypeptide with anchor site muta...

Embodiment 3

[0050] In this example, the human melanoma mutant protein HAUS3 is taken as an example. The mutant polypeptide sequence ILNAMIAKI predicted by NetMHC 4.0 (the wild-type polypeptide is ILNAMITKI, and the seventh position is mutated from the wild-type threonine (Thr) residue to alanine ( Ala) has a good binding ability to human MHC subtype HLA-A*02:01 (NetMHC4.0 predicted result is 48.1nM).

[0051] When the 9 peptide binds to the HLA-A*02:01 subtype, its third and seventh positions serve as non-anchor site MHC contact sites. In this example, the mutation position of the mutant polypeptide ILNAMIAKI is the seventh position. Based on the above classification rules, this polypeptide can be classified as a novel polypeptide of the non-anchor site MHC contact class. We believe that the new peptides in this example may be immunogenic.

[0052] Further literature data proves (DOI: 10.1038 / nm.3161) that this new polypeptide can activate CD8+ T cells under HLA-A*02:01 positive conditi...

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Abstract

The invention belongs to the field of biotechnology, and in particular relates to a method for identifying effective tumor neoantigens. The method is as follows: predict the binding ability of new polypeptides formed by tumor mutant proteins to MHC, and screen out a group of new polypeptides of proteins with higher affinity to the MHC when a certain specific MHC exists; Classification, mainly divided into anchor site mutations, non-anchor site MHC contacts, and TCR contacts; new polypeptides with anchor site mutations are divided into four categories according to the changes in amino acid types before and after the mutation, among which TCR contacts, The non-preferred amino acid mutations in the non-anchor site MHC contact class and the anchor site mutation class are new polypeptide groups with preferential amino acid mutations as potential tumor neoantigens. The method of the present invention is more accurate than the results obtained based solely on MHC affinity prediction in the past, and is suitable as a basic screening method for clinical tumor immunotherapy.

Description

technical field [0001] The invention belongs to the field of biotechnology, and in particular relates to a method for identifying effective tumor neoantigens. Background technique [0002] Tumor is a disease of abnormal cell proliferation caused by mutation of organism cells. Malignant tumors are still a worldwide medical problem due to their high mortality rate. At present, the clinical treatment of malignant tumors mainly consists of surgical resection, radiotherapy, chemotherapy, and targeted therapy. However, surgical resection, radiotherapy and chemotherapy have the disadvantages of poor prognosis and large side effects. Although targeted therapy has fewer side effects, it is expensive and prone to induce tumor resistance, thus limiting its subsequent large-scale clinical application. [0003] In recent years, with the development of next-generation sequencing technology and machine learning-based peptide-histocompatibility complex (p-MHC) affinity prediction technol...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): C12Q1/6886C12Q1/6827
CPCC12Q1/6886C12Q1/6827C12Q2600/156
Inventor 殷雷白鹏李永征
Owner WUHAN UNIV