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A kit for predicting the prognosis risk of squamous cell carcinoma of the lung and its application

A technology of lung squamous cell carcinoma and kit, which is applied in the field of genetic engineering and oncology, can solve the problems of not giving high reliability, etc., and achieve the effect of convenient, fast and high specificity detection

Active Publication Date: 2022-02-22
CANCER INST & HOSPITAL CHINESE ACADEMY OF MEDICAL SCI
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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 (eg, stage IIa patients with tumor diameter > 4 cm, ≤ 5 cm, stage IIIa patients)

Method used

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  • A kit for predicting the prognosis risk of squamous cell carcinoma of the lung and its application
  • A kit for predicting the prognosis risk of squamous cell carcinoma of the lung and its application
  • A kit for predicting the prognosis risk of squamous cell carcinoma of the lung and its application

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0053] This embodiment provides a kit for predicting the prognostic risk of lung squamous cell carcinoma, which includes reagents for detecting target regions. Wherein, the target region includes regions 1 to 127, and for specific information of the target region, please refer to Table 1. The reagents include probes 1-288, and the sequences of the probes 1-288 are shown in SEQ ID No.1-288 in sequence, please refer to Table 2 for details.

[0054] Table 2 Probes

[0055]

[0056]

[0057]

[0058]

[0059]

[0060]

[0061]

[0062]

[0063]

[0064]

[0065]

[0066]

[0067]

[0068]

[0069]

[0070]

[0071]

[0072]

[0073]

[0074]

[0075]

[0076]

[0077]

[0078]

Embodiment 2

[0080] This embodiment provides a method for predicting the prognostic risk of lung squamous cell carcinoma, which includes using the reagents provided in Example 1 to detect the prognostic risk of lung squamous cell carcinoma in nucleic acid samples from patients with lung squamous cell carcinoma.

[0081] In this embodiment, probes 1-288 are used to detect regions 1-127. It should be noted that, in other embodiments, existing high-throughput sequencing methods can be used to detect the target region. After sequencing, perform the following steps: (a) use Fastqc to detect the quality of sequencing data; (b) use TRIMMATIC to remove reads with an average sequencing quality of less than 28, and remove reads (read length) with a length of less than 74bp; (c) use bwa, or with it Equivalent software maps the sequencing results to the reference sequence of the human genome; (d) uses the Data pre-processing process in GATK Best Practices Workflows to obtain the processed BAM files; (...

Embodiment 3

[0084] 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 the sequence information of ARID1A, SLC43A2, ANKS1A, CHD2, RPTOR, OR7A5, RUNX1 gene specific region (region 1-127), the relationship between the sequence information of the target region and the patient's postoperative survival To analyze the relationship among them, please refer to Table 3 for the analysis results.

[0085] Table 3 P value and HR value of genes in different survival analysis methods

[0086] Gene Single factor Log rank analysis Multivariate Cox analysis ARID1A 6.08x10-5 1.40x10-5(4.03) SLC43A2 6.05x10-4 1.93x10-5(4.12) ANKS1A 3.34x10-2 7.64x10-3(3.89) CHD2 1.08x10-3 1.30x10-3(2.89) RPTOR 2.98x10-3 1.66x10-3(2.99) OR7A5 4.41x10-5 ...

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Abstract

The invention discloses a kit for predicting the prognosis risk of lung squamous cell carcinoma and its application, and relates to the technical fields of genetic engineering and oncology. The kit can detect the sequence information of the target region, and the target region is selected from the regions in Table 1 1-127, which are located in the specific regions of ARID1A, SLC43A2, ANKS1A, CHD2, RPTOR, OR7A5 and RUNX1 genes. By detecting the sequence information of the target regions, it can effectively and quickly predict the prognosis risk of lung squamous cell carcinoma patients. These targets Compared with other clinical markers, regional mutations have higher specificity, and the detection is convenient and quick.

Description

technical field [0001] The invention relates to the technical fields of genetic engineering and oncology, in particular to a kit for predicting the prognosis risk of lung squamous cell carcinoma and its application. Background technique [0002] Lung cancer is one of the malignant tumors with the fastest increasing morbidity and mortality and the greatest threat to the health and life of the population. Currently, surgical resection is still the preferred means of cancer treatment to improve patient survival. Especially for patients with squamous cell carcinoma of the lung. Squamous cell carcinoma of the lung, also known as squamous cell carcinoma of the lung, including spindle cell carcinoma, is the most common type, accounting for 40% to 51% of primary lung cancers. Squamous cell carcinoma of the lung is more common in elderly men and is closely related to smoking. Squamous cell carcinoma of the lung is more common in central lung cancer and tends to grow in the thoraci...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): C12Q1/6886C12N15/11
CPCC12Q1/6886C12Q2600/118C12Q2600/156
Inventor 李文斌宋朋郭蕾
Owner CANCER INST & HOSPITAL CHINESE ACADEMY OF MEDICAL SCI
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