Blood platelet LncRNA quantitative determination method for non-small cell lung cancer diagnosis

A non-small cell lung cancer, platelet technology, applied in the field of tumor molecular biology, can solve the problem of accurate diagnosis without tumor, achieve high diagnostic efficiency and sensitivity, far-reaching clinical significance and promotion effect

Active Publication Date: 2017-11-07
WUHAN UNIV
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AI Technical Summary

Problems solved by technology

However, in the prior art, there is no mature technology for more accurate diagnosis of tumors using markers in platelets.

Method used

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  • Blood platelet LncRNA quantitative determination method for non-small cell lung cancer diagnosis
  • Blood platelet LncRNA quantitative determination method for non-small cell lung cancer diagnosis
  • Blood platelet LncRNA quantitative determination method for non-small cell lung cancer diagnosis

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Embodiment 1

[0032] Platelets from 101 NSCLC (68 adenocarcinoma + 33 squamous cell carcinoma) tumor patients and 60 healthy controls were used to detect MAGI2-AS3 and ZFAS1 and establish models. The workflow is shown in figure 1 as shown,

[0033] The specific detection method includes the following steps:

[0034] 1. Collection and storage of platelets

[0035] The venous blood of the subjects was collected in 4ml anticoagulant tubes, and the platelets were centrifuged within 12 hours at room temperature. First, centrifuge at 120g at room temperature for 20min, divide into two layers, absorb the platelet-rich plasma from the upper layer, and transfer it to a new EP tube (pay attention to keeping part of the plasma when absorbing, not to absorb all), centrifuge at 360g for 20min, the precipitate is platelets, and wash two times with PBS. The second time, add 300μl DEPC water and extract RNA.

[0036] 2. Platelet RNA extraction (blood total RNA rapid extraction kit, BioTeKe)

[0037] 1)...

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Abstract

The invention discloses a blood platelet LncRNA quantitative determination method for non-small cell lung cancer diagnosis, and belongs to the field of oncomolecularbiology. Currently, lung cancer diagnosis mainly depends on traumatic tumor tissue clinical symptoms, radioautography, biochemical detection, pathological test and other aspects, and tissue heterogeneity exists. In order to solve the problems, it is proved that expression of platelet long-chain non-coding RNA MAGI2-AS3 and ZFAS1 of an NSCLC patient is lower than that of a normal person; on the basis, a real-time fluorescent quantitative PCR kit for non-small cell lung cancer diagnosis is prepared. Through expression quantity data obtained by MAGI2-AS3 and ZFAS1 combined real-time fluorescent quantitative PCR amplification, a logistic regression fit data model of non-small cell lung cancer diagnosis is established, and the model has high diagnosis efficiency and sensitivity to a non-small cell lung cancer and has deep clinical significance and generalization performance.

Description

technical field [0001] The invention belongs to the field of tumor molecular biology, and in particular relates to the application of a reagent for detecting the expression levels of platelet long-chain non-coding RNA MAGI2-AS3 and ZFAS1 in the preparation of diagnostic reagents for non-small cell lung cancer. Background technique [0002] Lung cancer is one of the most common malignant tumors in the world, and its morbidity and mortality rank first among all kinds of tumors. 80% of lung cancers are non-small cell lung cancer (NSCLC). NSCLC is mainly divided into squamous cell carcinoma (AD) and adenocarcinoma (SCC). Although great progress has been made in the diagnosis, treatment and basic research of non-small cell lung cancer in recent decades, overall, the prognosis of non-small cell lung cancer has not been significantly improved, and its 5-year survival rate is only 5%. -20%. Therefore, for the treatment of lung cancer, the most important thing is still to find effe...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): C12Q1/68C12N15/11
CPCC12Q1/6886C12Q2600/158C12Q2600/166C12Q2600/178
Inventor 汪付兵罗昌亮
Owner WUHAN UNIV
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