Endometrioid adenocarcinoma prognosis-related gene and protein as well as application thereof

A technology for endometrium and adenocarcinoma, applied in the field of biomedicine, can solve problems such as inability to judge prognosis and meet the needs of diagnosis and treatment

Active Publication Date: 2016-06-01
PEOPLES HOSPITAL PEKING UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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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 attenti

Method used

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  • Endometrioid adenocarcinoma prognosis-related gene and protein as well as application thereof
  • Endometrioid adenocarcinoma prognosis-related gene and protein as well as application thereof
  • Endometrioid adenocarcinoma prognosis-related gene and protein as well as application thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 2

[0094] Example 2. Analysis of clinicopathological factors related to prognosis of large samples of endometrioid adenocarcinoma and screening of related prognostic genes

[0095] 1. Analysis of prognostic factors related to endometrioid adenocarcinoma

[0096] DFS statistics were performed on 93 patients with endometrioid adenocarcinoma who were followed up from 2006 to 2008. The Kaplan-Meier method was used to perform univariate survival analysis of each index in clinicopathological factors. As a result, the 6 indexes in each clinicopathological factor have statistically significant effects on the DFS of endometrioid adenocarcinoma (P <0.01), respectively: FIGO staging, histological grade, depth of muscle invasion, lymph node metastasis and ER and PR expression.

[0097] Bringing various meaningful indicators into the COX regression analysis, the results of the two indicators are statistically significant (P <0.01), that is, histological grade and PR expression. It shows that histol...

Embodiment 3

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

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

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

Embodiment 4

[0120] Example 4. Functional annotation of 21 genes

[0121] 1. GO analysis of 21 genes

[0122] Log in to MASV4.0 online, import the names of these 21 overlapping differentially expressed genes into the analysis window, and get GO annotations and GO classification statistics (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 second level is the sublevel 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 the cell cycle and cell related to the regulation of cell proliferation. Division and DNA replication, etc.

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

[0124]

[0125]

[0126] 2. 21 Gene Passway Analysis

[0127] Introducing 21 differe...

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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 genes and proteins related to the prognosis of endometrioid adenocarcinoma and their applications. 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. Its etiology is mainly related to obesity, anovulatory infertility, delayed menopause and other infertility Hormonal antagonism is related to the 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 discovered that endometrioid adenocarcinoma is essentially a complex heterogeneous disease, often with a variety of significantly different biological characteristics and clinical prognosis. [0003] The FIGO staging of endometrial cance...

Claims

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Application Information

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IPC IPC(8): C12Q1/68G01N33/68G01N33/574
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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