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Construction method of model for predicting curative effect of PD-1

A PD-1, construction method technology, applied in biochemical equipment and methods, microbial determination/inspection, instruments, etc., can solve the problems of complex interaction mechanism and inability to describe, and achieve accurate prediction results, reasonable models, and sequencing. The effect of cost economy

Pending Publication Date: 2020-11-03
上海厦维医学检验实验室有限公司
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  • Application Information

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Problems solved by technology

[0004] Some studies have shown that the interaction mechanism between tumor cells and host immune cells is complex, and the level of PD-L1 expression and TMB value alone cannot effectively describe this mechanism of action globally

Method used

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  • Construction method of model for predicting curative effect of PD-1
  • Construction method of model for predicting curative effect of PD-1
  • Construction method of model for predicting curative effect of PD-1

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Embodiment Construction

[0033]1) Data preparation. Download two sets of melanoma data sets (PRJNA312948, PRJNA356761) from the public database GEO for the three types of data feature screening, and download a set from http: / / doi.org / 10.5281 / zenodo.546110. The urothelial tumor (Urothelial) data set that has PD-1 efficacy is used for verification. According to the first and second steps in the "Content of the Invention", 20 patients with lung cancer (Lung Cancer) were treated with PD-1, and To evaluate the clinical response of the drug, the sample information is summarized in Table 1

[0034] Table 1 Summary of sample information

[0035] data set Respondents Number of non-responders PRJNA312948 14 12 PRJNA356761 26 25 Urothelia 12 9 Lung Cancer 8 12

[0036] 2) Data sequencing. The data is subjected to routine RNA-seq sequencing according to the third step of the content of the invention. The sample is a formalin-fixed paraffin-embedded tissue, and the ...

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Abstract

The invention discloses a construction method of a model for predicting the curative effect of PD1. The construction method comprises the following steps of 1) selecting RNA-seq of a puncture or paraffin tissue sample within one month before medication as a baseline, and ensuring that a patient is not subjected to other treatments during the period; 2) after the patient is subjected to PD-1 / PD-L1treatment, performing CT scanning every three months; 3) performing conventional RNA-seq sequencing on the sample; (4) analyzing RNA-seq biological information; 5) constructing and screening RNA-seq data characteristics for predicting the curative effect of the PD-1; and 6) constructing the model for predicting the curative effect of the PD-1. Compared with a conventional PD-1 curative effect prediction molecular marker , an RNA sequencing molecular marker is more accurate in prediction result, and lower in cost.

Description

technical field [0001] The invention relates to a method for constructing a model for predicting the curative effect of PD-1, which utilizes gene expression information of tumors and tumor microenvironments obtained by RNA sequencing to predict the effectiveness of clinical tumor immune checkpoint PD-1 blocker therapy . Background technique [0002] Under normal conditions, the body's lymphoid immune cells are in a state of immune surveillance. When invaded by tumors, the immune system activates and eliminates tumor cells through identification and multiple killing mechanisms. Immune checkpoint is a mechanism of immune system regulation. Under normal circumstances, it maintains immune tolerance and prevents excessive immune response by regulating the intensity of autoimmune response. Common immune checkpoints on T cells include programmed death receptor 1 (programmed death 1, PD-1), cytotoxic T lymphocyte antigen 4 (cytotoxic T lymphocyte antigen 4, CTLA-4), lymphocyte acti...

Claims

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Application Information

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IPC IPC(8): G16B5/00G16B30/00C12Q1/6869C12Q1/6886
CPCG16B5/00G16B30/00C12Q1/6869C12Q1/6886C12Q2600/106C12Q2600/158C12Q2535/122C12Q2537/165
Inventor 杨爽胡靖郑方克郑立谋
Owner 上海厦维医学检验实验室有限公司
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