Method for manufacturing gastric cancer prognosis prediction model

A predictive model and prognosis technology, applied in the direction of biochemical equipment and methods, microbial determination/testing, measuring devices, etc., can solve problems such as limited capacity and access to individual patients

Active Publication Date: 2016-03-23
NOVOMICS CO LTD
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  • Abstract
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Problems solved by technology

However, although this treatment method can improve the routine clinical outcome of patients, the clinicopathological heterogeneity of tumors and the different outcomes of patients in the same stage have limited ability to predict the task of adjuvant chemotherapy, so that it cannot be optimal close to individual patients
[0004] Despite some recent advances, some challenging problems remain in personalizing cancer therapy in order to target specific therapeutic regimens across tumor types with different etiologies and ultimately to maximize outcomes

Method used

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  • Method for manufacturing gastric cancer prognosis prediction model
  • Method for manufacturing gastric cancer prognosis prediction model
  • Method for manufacturing gastric cancer prognosis prediction model

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Embodiment 1

[0066] [Example 1] Selection of prognosis prediction target and experimental design

[0067] The inventors of the present invention used the database of somatic mutations in need of identification in various cancer types maintained at the Sanger Institute to develop a method for detecting mononuclear mutations that are more commonly found in many different cancers. Assay for the presence of nucleotide polymorphisms (SNPs).

[0068] To this end, 537 tumor tissue samples, 129 normal tissue samples, 125 FFPE tumor samples (gastric adenocarcinoma patients who underwent gastrectomy as first-line treatment at Yonsei University Severance Hospital from 1999 to 2006) and FFPE normal tissue samples were used. 123 tissue samples were selected as targets, AKT1, BRAF, CTNNB1, FBWX7, GNAS, IDH1, JAK2, KIT, KRAS, MET, NRAS, PDGFRA, PDPK1, PHLPP2, PIK3CA and PIK3R1 were selected, and 159 mutations emerged from them were studied .

[0069] SNPs were detected using Sequenom's MALDITOFMassArra...

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Abstract

The present invention relates to a novel model for predicting a prognosis capable of predicting the prognosis of gastric cancer, and more specifically, to manufacturing a prediction model for predicting a clinical result after a resection during gastric cancer surgery through genetic mutation comparative analysis.

Description

technical field [0001] The present invention relates to a method for establishing a novel prognosis prediction model that can predict the prognosis of gastric cancer through comparative analysis of gene mutations. Background technique [0002] Gastric adenocarcinoma (Gastricadeno-carcinoma) was the second leading cause of death among 700,349 deaths in 2000 and the fourth most commonly diagnosed cancer in the world. Gastric adenocarcinoma is considered as a single heterogeneous disease with several epidemiological and histopathological features. Treatment of gastric cancer is mainly based on clinical parameters such as TNM (Tumor, Node, Metastasis) staging, which is used to decide whether it can be treated with surgery alone or with surgery and chemotherapy. Unlike breast cancer and colorectal cancer, gastric cancer can vary significantly from stage I to stage IV according to the TNM staging system. That is, the five-year survival rate of stage I is 90% or more, while that ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N33/574C12Q1/68C12N15/11G16B20/20G16B40/30
CPCG16B20/00G16B40/00C12Q1/6886C12Q2600/118C12Q2600/156C12Q2600/158G16B40/30G16B20/20C12N15/11C12Q1/6827G01N33/57446G01N33/574
Inventor 许镛敏卢圣勳徐振锡郑载镐朴恩成
Owner NOVOMICS CO LTD
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