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SNP (single nucleotide polymorphism) for prognosis estimation of gastric cancer

A technique for prognosis, gastric cancer, applied in the field of molecular biology

Active Publication Date: 2021-02-26
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] At present, there are no research results on the association between SNPs on SDH and CD98 and the prognosis of gastric cancer

Method used

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  • SNP (single nucleotide polymorphism) for prognosis estimation of gastric cancer

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0019] Example 1 Clinical Data Collection and SNP Detection

[0020] Source of samples: 320 cases of surgical resection of primary gastric cancer (no other serious gastrointestinal diseases or tumors were detected) during the nine years from 2006 to 2015 in Linyi People's Hospital and cooperative units, and the resected gastric cancer tissues were confirmed by pathological examination: Selected cases ethnicity All were Han nationality, with no known relatives, no age and gender restrictions (average age at operation was 54.8 years, 178 males and 142 females).

[0021] Follow-up method: Cases with follow-up experience refer to the follow-up results. Cases without follow-up experience use telephone plus door follow-up. The deadline for follow-up is June 2019. The last 320 cases selected are all cases that have completed follow-up on this date ( Cases that did not complete follow-up were removed, and the mean follow-up period was 36.1 months).

[0022] SNP screening: Combined wi...

Embodiment 2

[0026] Example 2 Association analysis of SNP and prognosis of patients with gastric cancer

[0027] Survival time (OS) was defined as the date of death or the date of the last follow-up for survival minus the date of the first operation, and the recurrence-free progression (RFS) was defined as the time from the time of the initial operation to the diagnosis of local recurrence or distant metastasis by the attending physician; the statistics of patient age, Gender, tumor location, degree of pathological differentiation, TNM stage, postoperative adjuvant therapy, etc. were used to calculate the constituent ratio, and the Cox proportional hazards regression model was used to calculate the hazard ratio (HR) between each clinical parameter and patient death (OS) and recurrence (RFS) and 95% confidence interval (95%, CI); the influence of a single SNP genotype on progression-free time (RFS) and overall survival time (OS) was analyzed.

[0028] The impact of SNP sites on the survival...

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Abstract

The invention provides application of a reagent for detecting one or more polymorphisms in SNP (single nucleotide polymorphism) sites rs13173911, rs4131826, rs3754509, rs4726 and rs1059292 in preparation of a kit for predicting prognosis of gastric cancer. The invention further provides a corresponding kit, a site combination and a prediction method.

Description

technical field [0001] The present invention belongs to the fields of molecular biology and cancer diagnosis and treatment. Specifically, the application provides a SNP that can be used to judge the prognosis of gastric cancer, a corresponding kit, a preparation application and a prediction method. Background technique [0002] Gastric cancer is a common type of malignant tumor that endangers human health (second only to lung cancer, breast cancer and intestinal cancer), with more than one million new cases worldwide each year. Due to genetic and dietary habits, my country is a high-incidence area for gastric cancer, accounting for more than 40% of the world's cases. Although there have been many advances in treatment methods and drugs in recent years, there is a lack of prognostic indicators that can accurately assess the risk of postoperative recurrence and metastasis of patients, and the inability to carry out postoperative monitoring is difficult to prolong the survival ...

Claims

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Application Information

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IPC IPC(8): C12Q1/6886C12N15/11
CPCC12Q1/6886C12Q2600/118C12Q2600/156
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