Long non-coding RNA (lnc RNA) model capable of predicting recurrence of gastric cancer and response to platinum drugs, and construction method of lnc RNA model

A platinum-based drug and construction method technology, applied in the fields of molecular biology and medicine, to achieve good predictive performance, reduce excessive or unnecessary treatment, and improve survival rates

Inactive Publication Date: 2017-02-22
上海厚承医学科技有限公司
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  • Application Information

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Problems solved by technology

However, in the prior art, there is no research on lncRNA to predic

Method used

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  • Long non-coding RNA (lnc RNA) model capable of predicting recurrence of gastric cancer and response to platinum drugs, and construction method of lnc RNA model
  • Long non-coding RNA (lnc RNA) model capable of predicting recurrence of gastric cancer and response to platinum drugs, and construction method of lnc RNA model
  • Long non-coding RNA (lnc RNA) model capable of predicting recurrence of gastric cancer and response to platinum drugs, and construction method of lnc RNA model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0046] Ⅰ. Establish a prediction model

[0047] 1. Experimental object:

[0048] The research object of this embodiment selects 180 cases of gastric cancer tissues stored in the tissue bank between January 2009 and December 2010 to form a training set.

[0049] The inclusion and exclusion criteria are:

[0050] (1) Patients with newly diagnosed gastric cancer diagnosed as gastric cancer by pathology

[0051] (2) No metastatic lesions at the time of diagnosis; no history of other tumors;

[0052] (3) Exclude other carcinoma in situ.

[0053] 2. Experimental method

[0054] The surgically resected cancer tissue specimens of 180 patients in the above training set were collected: RNA samples were extracted using the RNeasy PlusMini Kit of Qiagen Company according to the kit instructions. The extracted RNA was quantitatively detected by NanoDrop 2000 spectrometer for the concentration and quality of the extracted total RNA; the extracted RNA samples were frozen and stored in a...

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Abstract

The invention relates to a long non-coding RNA (lnc RNA) model capable of predicting recurrence of gastric cancer and response to platinum drugs. The model comprises lnc RNA sequences as shown in SEQ ID No.1-11, and the expression quantities of the lnc RNA sequences are associated with the recurrence of patients with gastric cancer. The invention also relates to a construction method of the lnc RNA model capable of predicting recurrence of gastric cancer and response to platinum drugs. The construction method comprises the following steps: 1, carrying out correlation analysis; 2, determining an importance degree; 3, calculating relapse free survival (RFS) risk index of a patient; 4, judging the risk; 5, predicting effectiveness evaluation; 6, carrying out effect verification. The lnc RNA model not only can predict and divide high and low risk groups for prognosis of the patients with gastric cancer, but can also predict the sensitivity of the patients to platinum chemotherapy, thus reducing overtreatment.

Description

technical field [0001] The invention relates to the fields of molecular biology and medicine, in particular to an lncRNA model for predicting gastric cancer recurrence and response to platinum-based drugs and a construction method thereof. Background technique [0002] Gastric cancer is one of the most common malignant tumors in my country and even in the world. There are nearly 400,000 new gastric cancer patients in my country every year, and about 300,000 deaths, accounting for about 1 / 5 of all cancer deaths. Early diagnosis and early treatment are one of the important factors to improve the curative effect of gastric cancer. Although the diagnostic technology and medical technology are constantly improving, the treatment effect and clinical prognosis of gastric cancer are still not very satisfactory. Accompanied by lymph node metastasis, peritoneal implantation or blood metastasis, the five-year survival rate of gastric cancer patients has been difficult to improve signif...

Claims

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Application Information

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IPC IPC(8): C12Q1/68C12N15/11
CPCC12Q1/6886C12Q2600/136C12Q2600/158C12Q2600/178
Inventor 卞胜超
Owner 上海厚承医学科技有限公司
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