Method for detecting tumor neoantigen load, computing device and computer storage medium

Abstract

The invention relates to a method for detecting tumor neoantigen load, computing equipment and a computer storage medium. The method comprises the following steps: acquiring a transcriptome sequence related to a tumor sample, and first comparison result information and splicing site information which are compared with a reference genome; obtaining a whole exome sequence of the paired normal sample and a whole exome sequence of the paired normal sample in second comparison result information compared with the reference genome; generating somatic mutation information based on the first comparison result information and the second comparison result information; determining a specific HLA genotype; generating a first result about the specific neoantigen based on the splicing site information and the specific HLA genotype; generating a second result about the specific neoantigen based on the somatic mutation information and the specific HLA genotype; and generating the tumor neoantigen load of the detected object based on the first result and the second result. According to the invention, the comprehensiveness and reliability of tumor neoantigen load detection can be effectively improved.

Description

technical field [0001] The present disclosure relates generally to biological information detection processing, and in particular, to methods, computing devices, and computer storage media for detecting tumor neoantigen burden. Background technique [0002] In recent years, tumor immunotherapy (Immuno-Oncology Therapy, I-O), especially immune checkpoint inhibition has increasingly become a new direction of tumor treatment. However, individual responses to immunotherapy vary greatly, and only some patients can benefit from immunotherapy. In order to obtain the expected immunotherapy effect, it is often necessary to perform immune assessment on patients in advance. [0003] Tumor Mutation Burden (TMB) refers to the total number of substitution and insertion / deletion mutations per megabase in the exon coding region of the evaluated gene in the tumor cell genome. Studies have shown that high TMB is closely related to the level of tumor infiltrating lymphocytes (Tumor Infiltrati...

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Problems solved by technology

However, the TNB produced by alternative splicing detected by RNA-seq also has the problem that it cannot fully reflect the real TNB of the patient.

[0006] In summary, the traditional methods for detecting tumor neoantigen burden are difficult to improve the comprehensiveness and reliability of detecting tumor neoantigen burden in patients

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