Plasma exosome circRNA marker for non-small cell lung cancer as well as detection primer and kit thereof
A non-small cell lung cancer, marker technology, applied in the field of plasma exosome circRNA markers and its detection primers, kits, can solve the problems of poor specificity, low reliability, etc., to improve accuracy, broad application prospects, Ease of diagnosis
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Embodiment 1
[0044] Example 1 Screening of markers for non-small cell lung cancer
[0045] 1. Research Methods
[0046] 1. Research population
[0047] The case group consisted of 245 cases of NSCLC collected from the Cancer Hospital Affiliated to Guangzhou Medical University, the First Affiliated Hospital of Guangzhou Medical University, the First People’s Hospital of Guangzhou, and the Chest Hospital of Guangzhou from November 2014 to December 2016. The diagnosis was confirmed histologically, and no surgery, radiotherapy or chemotherapy had been performed before blood collection. The control group consisted of patients with other lung diseases and healthy people in the physical examination center collected in the same period. According to the principle of the same gender, age ± 5 years, smoking status and similar smoking amount, 44 lung cancer cases were collected by frequency matching between groups. Patients with other diseases and 231 healthy controls. After signing the informed co...
Embodiment 2
[0055] Example 2 Establishment of non-small cell lung cancer diagnosis model and ROC analysis
[0056] The clinical value of the three plasma exosomal circRNAs obtained in Example 1 in the screening and diagnosis of NSCLC was analyzed by using the ROC curve method. The three circRNAs alone have significant diagnostic value for NSCLC. The accuracy of circ_0047921 is 0.577 (95% confidence interval is 0.523-0.631), the accuracy of circ_0007761 is 0.667 (95% confidence interval is 0.617-0.718), and the accuracy of circ_0056285 is 0.577 (95% confidence interval is 0.617-0.718). It reached 0.683 (95% confidence interval 0.634-0.732). The ROC curve analysis method of multivariate linear combination is used to combine the above four indicators, and the individual prediction probability model Y is obtained by binomial logistic regression pre1 =-40.106+0.131×Ct (circ_0047921) +0.663×Ct (circ_0056285) +417.86×1 / Ct (circ_0007761) . The diagnostic value of this combination for NSCLC...
Embodiment 3
[0058] Example 3 Preparation and clinical application of non-small cell lung cancer diagnostic kit
[0059] 1. Preparation of detection kits for clinical use
[0060] A diagnostic kit for non-small cell lung cancer, said kit comprising the following components: 1.5ml EP tubes, respectively equipped with specific primers for detecting the expression of circ_0047921, circ_0007761 and circ_0056285. The kit can also include various other reagents required for exosome isolation, RNA extraction, reverse transcription and fluorescent quantitative PCR detection, including but not limited to: Taq DNA polymerase, reverse transcriptase, dNTP Mixture, MgCl 2 solution, fluorescence quantitative PCR reaction buffer, deionized water and PBS buffer. The kit can be directly applied to clinic. The specific primer sequences are as follows:
[0061]circ_0047921-F: 5'-CAGCGCAGGAGAAAACGAAAC-3' (SEQ ID NO: 4);
[0062] circ_0047921-R: 5'-AGGCTGACAAGTGAGTGTGA-3' (SEQ ID NO: 5)
[0063] circ_000...
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