Endometrioid adenocarcinoma prognosis-related genes and proteins and their application

A technology of gene and gene chip, which is applied in the field of endometrioid adenocarcinoma prognosis-related genes and proteins and its application, can solve the problems that cannot meet the needs of diagnosis and treatment, and cannot achieve prognosis discrimination, etc.

Active Publication Date: 2019-05-21
PEOPLES HOSPITAL PEKING UNIV
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  • Description
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AI Technical Summary

Problems solved by technology

As a molecularly heterogeneous disease, endometrioid adenocarcinoma cannot meet the needs of current diagnosis and treatment by traditional pathomorphological diagnosis, and the application of molecular diagnostic techniques based on the differential expression of tumor molecules has gradually attracted the attention of researchers.
In the past 30 years of basic tumor research, people have gradually discovered some genes related to the prognosis of endometrial cancer, such as PTEN, K-ras, β-catenin, P53, P16 and Her2 / neu, etc., but these can only be used as a Empirical predictive genes cannot achieve individualized prognosis

Method used

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  • Endometrioid adenocarcinoma prognosis-related genes and proteins and their application
  • Endometrioid adenocarcinoma prognosis-related genes and proteins and their application
  • Endometrioid adenocarcinoma prognosis-related genes and proteins and their application

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 2

[0094] Example 2. Analysis of Clinicopathological Factors Related to the Prognosis of Endometrioid Adenocarcinoma in a Large Sample and Screening of Related Prognostic Genes

[0095] 1. Analysis of prognostic factors in endometrioid adenocarcinoma

[0096] DFS statistics were performed on 93 patients with endometrioid adenocarcinoma who were followed up from 2006 to 2008, and Kaplan-Meier method was used to perform univariate survival analysis on the DFS of each index in clinicopathological factors. The results showed that the 6 indicators of each clinicopathological factor had a statistically significant effect on the DFS of endometrioid adenocarcinoma (P<0.01), namely: FIGO stage, histological grade, depth of myometrial invasion, lymph node metastasis and ER , PR expression.

[0097] Bringing various meaningful indicators into COX regression analysis, the results showed that 2 indicators were statistically significant (P<0.01), namely histological grade and PR expression. ...

Embodiment 3

[0110] Example 3. Preliminary analysis of prognostic high-risk early warning genes for endometrioid adenocarcinoma

[0111] The 21 differentially expressed genes in the "group 2 prognosis-related candidate genes" screened out by supervised clustering were compared with the 47 differentially expressed genes in the "group 1 prognosis-related candidate genes" screened out by unsupervised clustering. By comparing one by one, it was found that the 21 overlapping differentially expressed genes in "Group 2" were all covered in the 47 differentially expressed genes in "Group 1". The basic information of the 21 genes is shown in Table 5.

[0112] The 21 genes were used to perform unsupervised clustering on 32 cases of endometrioid adenocarcinoma, and the results showed that the 32 samples were clustered into two types, A and B, as image 3 as shown in a. Groups A and B cover 19 and 13 samples respectively. Compared with the samples contained in groups I and II formed by clustering of 4...

Embodiment 4

[0120] Example 4, Functional Annotation of 21 Genes

[0121] 1. GO analysis of 21 genes

[0122] Log in to MAS V4.0 online, import the names of these 21 overlapping differentially expressed genes into the analysis window, and get GO annotations and GO classification statistics after running (such as Figure 4 ). In the first level, biological processes accounted for the largest proportion, about 54.37%, molecular functions accounted for 28.13%, and cellular components accounted for 17.50%. The sub-level is the sub-level of the first-level three-level classification, and the categories are more detailed and diverse. Table 6 below lists the 10 biological processes most related to the 21 differential genes, mainly cell cycle, cell Division and DNA replication, etc.

[0123] Table 6 The 10 most relevant GO-biological processes of differentially expressed genes

[0124]

[0125]

[0126] 2. Passway analysis of 21 genes

[0127] After importing 21 differentially expressed...

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Abstract

The invention discloses endometrioid adenocarcinoma prognosis-related gene and protein as well as an application thereof. The invention provides a kit a to assist grouping of patients population with endometrioid adenocarcinoma, comprising a substance for detecting mRNA level expression of 21 genes: PRC1, NUSAP1, MCM6, PIWIL2, TYMS, CCNB2, ESM1, BUB1, BARD1, MCM7, CDK6, PCNA, NDC80, CCNE2, RFC4, CCNE1, SERPINA1, FOS, DUSP1, CCL20, and NR4A1. The experiment found a gene model and a protein marker capable of performing prognostic prediction of disease-free survival time of endometrioid adenocarcinoma. The model has important clinical meaning for reflecting biological characteristics of endometrioid adenocarcinoma and prognostic prediction.

Description

technical field [0001] The invention relates to the field of biomedicine, in particular to endometrioid adenocarcinoma prognosis-related genes and proteins and applications thereof. Background technique [0002] Endometrioid adenocarcinoma is the most common pathological type of endometrial cancer, accounting for about 70% to 80% of the total incidence of endometrial cancer, and its etiology is mainly related to obesity, anovulatory infertility, and delayed menopause Hormone antagonistic long-term effects of estrogen. Compared with other pathological types of endometrial cancer, endometrioid adenocarcinoma has a better prognosis. However, with the continuous development of clinical research, people gradually found that endometrioid adenocarcinoma is essentially a complex heterogeneous disease, often with a variety of significantly different biological characteristics and clinical prognosis. [0003] FIGO staging of endometrial cancer is a classification standard determined...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): C12Q1/6886
Inventor 王建六李小平姚远洋高宝荣陈勇华魏丽惠
Owner PEOPLES HOSPITAL PEKING UNIV
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