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Method of forecasting gastric cancer postoperative survival condition by gene expression atlas

A gene expression and gastric cancer technology, applied in the field of predicting the survival rate of cancer after surgery, can solve the problems of recurrence risk, analysis of independent samples, and limitations of clinical application of known methods

Inactive Publication Date: 2007-03-07
陈炯年 +3
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] However, in the aforementioned known studies, data are rarely collected from a large number of genes, and most of them use expensive data acquisition platforms and complex calculations and / or software, and these methods cannot be used without reference to other samples. Analysis of independent samples under the condition of , so this makes the known methods have their limitations in clinical application
In addition, there is still no practical and useful method that can be used to identify the risk of recurrence after surgical resection for individual patients with gastric cancer

Method used

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  • Method of forecasting gastric cancer postoperative survival condition by gene expression atlas
  • Method of forecasting gastric cancer postoperative survival condition by gene expression atlas
  • Method of forecasting gastric cancer postoperative survival condition by gene expression atlas

Examples

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Effect test

Embodiment 1

[0056] Build a forecast model

[0057] Eighteen pairs of tumor and non-tumor gastric tissue samples were obtained from 18 patients with gastric cancer who had undergone D2 gastrectomy without significant residual tumor in National Taiwan University Hospital. The tumor stage of the patient ranges from stage I to stage IV. Among them, 9 patients died of tumor recurrence within 12 months after surgery, which is defined as "poor survival" here, while the other 9 patients survived more than 30 months after surgery, which are defined as "poor survival" here. Defined as "good survival". In the poor survival group, there were 2 patients with stage II, 4 patients with stage III, and 3 patients with stage IV. In the good survival group, there were 3 patients with stage I, 2 patients with stage II, and 4 patients with stage III. There were no stage I patients in the poor survival group, and no stage IV patients in the good survival group. All patients did not receive postoperative ch...

Embodiment 2

[0072] For an independent test group of 30 patients, the prediction model composed of CD36, SLAM and PIM-1 pointed out by the present invention was used for survival prediction. The tumor and non-tumor tissue samples of these 30 patients were subjected to reverse transcription polymerase chain reaction, and the RT-PCR expression status of CD36, SLAM and PIM-1 in the tissue samples of each patient was obtained accordingly. The expression state of each gene is compared with the RT-PCR state classification table in Example 1, and the aforementioned frequency of occurrence calculated by the 20 genes of the training group is obtained from the table, and the corresponding occurrence of each gene of each patient is obtained. The frequency value is brought into (Equation 1), from which the possible postoperative survival status of the gastric cancer patient can be calculated.

[0073] The results obtained after analysis showed that 23 patients were correctly predicted (76.7%), and pro...

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Abstract

The invention discloses an expressing method of postoperative gastric cancer condition, which is characterized by the following: adopting different astopic gene in reference; analyzing through RT-PCR; establishing forecasting mode in the exercise group sample; providing adjuvant chemotherapy.

Description

technical field [0001] The invention relates to a method for predicting the survival rate of cancer after operation, in particular to a method for predicting the survival status of gastric cancer after operation by reverse transcription polymerase chain reaction through the classification map of gene microarray. Background technique [0002] Gastric cancer is one of the most common cancers in the world, and ranks fourth in cancer incidence in Taiwan. Currently, endoscopic screening is commonly used clinically in order to diagnose cancer at an early stage, but there are still some patients whose cancer is already in a more serious cancer stage when they are diagnosed. According to previous research reports, patients with cancer stage I (stage I) usually have a better prognosis, while patients with cancer stage IV (stage IV) show a very poor prognosis. However, it is troubling that the prognosis of patients with stage II and stage III cancers is very different, and the biolog...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): C12Q1/68
Inventor 陈炯年林真真谢丰舟张金坚
Owner 陈炯年
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