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Gene markers for forecasting immunotherapy effect on cancer and application of gene markers

A gene marker and immunotherapy technology, applied in the field of gene markers for predicting the effect of cancer immunotherapy, can solve the problem that the clinical efficacy and benefit of patients cannot be completely and accurately predicted, and achieve reliable and cost-effective detection of gene mutation status. The effect of low, accurate prediction results

Pending Publication Date: 2020-12-29
TCM INTEGRATED HOSPITAL OF SOUTHERN MEDICAL UNIV
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] Various current biomarkers have their limitations, and cannot completely and accurately predict the clinical efficacy and benefits of patients

Method used

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  • Gene markers for forecasting immunotherapy effect on cancer and application of gene markers
  • Gene markers for forecasting immunotherapy effect on cancer and application of gene markers
  • Gene markers for forecasting immunotherapy effect on cancer and application of gene markers

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0061] Example 1 Target screening for predicting the effect of cancer immunotherapy

[0062] The samples came from 29 patients with advanced lung adenocarcinoma who received immunotherapy at Memorial Sloan Kettering Cancer Center between 2012 and 2013. The patient's treatment plan is: inject pembrolizumab once every 2-3 weeks, and the dosage is 10mg / kg. Tumor samples were taken from the primary tumor, metastases and lymph nodes, including fresh tissue and paraffin-embedded tissue, and the control group was taken from the patient's blood. Tumor tissue was confirmed by HE staining before tumor specimen sequencing.

[0063] DNA was extracted using the DNEasy kit (Qiagen), and then the exon sequences were captured and enriched using SureSelect Human All Exonv2.0 (Agilent, 44Mb) according to the instructions of the product. The enriched exome library was then bidirectionally sequenced using the Illumina HiSeq2000 sequencing system to achieve an average sequencing depth of 150X. ...

Embodiment 3 Embodiment 1

[0086] Example 3 Comparison between the model constructed in Example 1 and the predictive performance of PD-L1

[0087] Based on the existing literature, the expression of PD-L1 ≥ 50% is regarded as the gold standard for predicting the benefit of immunotherapy. In order to further verify the effect of the model constructed in Example 1 to predict the effect of immunotherapy, the expression of PD-L1 and the model constructed in Example 1 were used respectively. These two markers were modeled to predict the benefit, see Table 5 for details.

[0088] Table 5 The model constructed in Example 1 and the predicted benefits of PD-L1 expression

[0089]

[0090] It can be seen that when the expression of PD-L1 predicts the benefit of immunotherapy, the number of benefiters is 16, of which 11 are clinically beneficial, and 5 are not clinically beneficial; the number of non-benefit is 62, of which clinically true There were 14 people who benefited from it, and 48 people who did not b...

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Abstract

The invention discloses gene markers for forecasting an immunotherapy effect on a cancer and application of the gene markers. The markers comprise BRD4, RPS6KA4, TET1, BCL10, FGFR2, RAD51C, TCF7L2, TGFBR1, AR, BBC3, H3C11, TSC2, NSD1, PNRC1, IGF2, H3C3, SOCS1, TCF3, TSHR, PMS2, EGFR and CDKN2A. According to the application, a model constructed by 22 genes can be used for predicting an immunotherapy effect and better instructing clinical medication, and the susceptibility and specificity of prediction of the model are superior to those of PD-L1 expression.

Description

technical field [0001] The invention belongs to the technical field of biomedicine, and specifically relates to a group of gene markers for predicting the effect of cancer immunotherapy and applications thereof. Background technique [0002] Lung cancer is currently the most common malignant tumor. Common treatments include surgery, chemotherapy, targeted and immunotherapy. Immunotherapy is a popular treatment method in recent years. However, only 20-25% of patients can benefit from immunotherapy. In order to more accurately predict and classify the best benefit group of immunotherapy, researchers have explored a variety of biological markers to screen the benefit group. [0003] At present, commonly used biological markers include PD-L1 expression, tumor mutation burden (TMB), copy number variation, microsatellite instability, lack of mismatch gene repair, etc. Among them, PD-L1 has been more recognized, and when PD- When the L1-positive rate is more than 50%, the effecti...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): C12Q1/6886
CPCC12Q1/6886C12Q2600/156C12Q2600/106C12Q2600/118
Inventor 唐海波李晓宁
Owner TCM INTEGRATED HOSPITAL OF SOUTHERN MEDICAL UNIV
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