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Kit for predicting postoperative survival time of lung squamous carcinoma patient and application of kit

A survival time, lung squamous cell carcinoma technology, applied in the field of genetic engineering, can solve problems such as not giving high reliability

Active Publication Date: 2021-03-09
CANCER INST & HOSPITAL CHINESE ACADEMY OF MEDICAL SCI +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the consensus does not give high-confidence recommendations for patients with certain conditions (such as stage IIa patients with tumor diameters > 4 cm, ≤ 5 cm, and stage IIIa patients). Evaluate the prognosis and use the results to decide the plan of radiotherapy and chemotherapy after surgery

Method used

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  • Kit for predicting postoperative survival time of lung squamous carcinoma patient and application of kit
  • Kit for predicting postoperative survival time of lung squamous carcinoma patient and application of kit
  • Kit for predicting postoperative survival time of lung squamous carcinoma patient and application of kit

Examples

Experimental program
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Effect test

Embodiment 1

[0120] The invention provides a kit for predicting postoperative survival time of lung squamous cell carcinoma patients. The method includes predicting the survival time of the test sample based on the acquired mutation information of the target region in the genome of the test sample.

[0121] Wherein, the target area includes a combination of areas 1-14:

[0122] Region 1 is selected from part or all of the 62607957-62608077th base of chromosome 11;

[0123] Region 2 is selected from part or all of the 62608049-62608169 bases of chromosome 11;

[0124] Region 3 is selected from part or all of the 62608871-62608991 base of chromosome 11;

[0125] Region 4 is selected from part or all of the 62608934-62609054 base of chromosome 11;

[0126] Region 5 is selected from part or all of the 62608997-62609117th base of chromosome 11;

[0127] Region 6 is selected from part or all of the 62609261-62609381 base of chromosome 11;

[0128] Region 7 is selected from part or all of the...

Embodiment 2

[0138] The present invention provides a method for predicting postoperative survival time of lung squamous cell carcinoma patients, which comprises using the kit provided in Example 1 to detect the target area of ​​the sample to be tested.

[0139] The detection method for the target region (the specific non-coding region of the WDR74 gene) can be any general high-throughput sequencing method, such as amplicon sequencing (PCR-based enriched sequencing), or according to the kit provided in Example 1 The probe sequences were subjected to region hybridization sequencing. The length of the region with a coverage greater than 30X in the target region must account for 100% of the total length of the region, and the sequencing results must pass the quality control standards of the sequencing service provider.

[0140] The following are the methods and steps after the sequencing results of the target region are obtained after sequencing:

[0141] a, Using Fastqc to detect the quality...

Embodiment 3

[0149] In this example, 188 lung squamous cell carcinoma patients aged 41-86 were collected, including 71 patients at stage I, 65 at stage II, 50 at stage III, and 2 at stage IV, and determined according to the method provided in Example 2. Whether the patient's tumor tissue carries a mutation in the non-coding region of the WDR74 gene (the target region in Example 1), see Table 2 for detailed clinical information and sequencing results.

[0150] Using Cox univariate analysis, the HR (Hazard ratio, the same below) of the mutation in the non-coding region of the WDR74 gene was 2.13, and the P value was 0.042, which was an unfavorable prognostic factor.

[0151] Using Cox multivariate analysis, combined with gender, age, smoking, cancer stage and other clinical factors, the HR of the mutation in the non-coding region of the WDR74 gene was 2.41, and the P value was 0.02, which was an unfavorable prognostic factor.

[0152] Table 2 Sample clinical information and sequencing result...

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Abstract

The invention discloses a kit for predicting postoperative survival time of a lung squamous carcinoma patient and application of the kit, and relates to the technical field of gene engineering. The kit comprises a reagent for detecting a target region, wherein the target region is selected from a non-coding region of a WDR74 gene. It is found that the WDR74 gene is a drive gene of lung squamous carcinoma, and based on the detection result of the mutation of the non-coding region of the WDR74 gene, the survival time of the lung squamous carcinoma patient after an operation can be predicted, auxiliary information is provided for the diagnosis and / or treatment of the lung squamous carcinoma patient, and the survival rate of the lung squamous carcinoma patient is improved.

Description

technical field [0001] The invention relates to the technical field of genetic engineering, in particular to a kit for predicting postoperative survival time of lung squamous cell carcinoma patients and its application. Background technique [0002] Lung cancer is the cancer with the highest morbidity and mortality. In terms of incidence, lung cancer ranks first among men and second among women, second only to breast cancer. The death rate ranks first in both men and women. According to the Global cancer statistics 2018 by F. Bray et al., lung cancer patients accounted for 11.6% of all cancer patients, and lung cancer deaths accounted for 18.4% of all cancer deaths. [0003] Nowadays, surgical resection is still the first choice for cancer treatment, especially for squamous cell carcinoma of the lung, complete surgical resection is still the key to improving the survival rate of patients. Even for patients with locally advanced squamous cell carcinoma of the lung, especia...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): C12Q1/6886
CPCC12Q1/6886C12Q2600/118C12Q2600/156
Inventor 李文斌石建涛钱志荣姚天然张君孝李宾宾宋朋刘磊琴
Owner CANCER INST & HOSPITAL CHINESE ACADEMY OF MEDICAL SCI
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