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Characteristic miRNA expression profile combination and early prediction method for uterine corpus endometrial carcinoma

A technology of endometrial cancer and prediction method, which is applied in the field of characteristic miRNA expression profile combination and early prediction of endometrial cancer, can solve the problems such as difficult to define the critical value of early diagnosis, and achieve the effect of high accuracy

Pending Publication Date: 2021-05-07
FOSHAN UNIVERSITY
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Problems solved by technology

Due to the overlapping expression distribution of single miRNA in tumor and normal population, it is difficult to define the cut-off value of early diagnosis

Method used

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  • Characteristic miRNA expression profile combination and early prediction method for uterine corpus endometrial carcinoma
  • Characteristic miRNA expression profile combination and early prediction method for uterine corpus endometrial carcinoma
  • Characteristic miRNA expression profile combination and early prediction method for uterine corpus endometrial carcinoma

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Embodiment 1

[0117] A method for early prediction of endometrial cancer based on a combination of characteristic miRNA expression profiles, comprising the following steps:

[0118] Step 1. Obtain stable and differentially expressed miRNAs (signature miRNAs) in patients with early-stage endometrial cancer. For details, see figure 1 .

[0119] Step 1.1: Download endometrial cancer patient tumor tissue and paracancerous tissue transcriptome data and clinical data from the Genomic Data Commons Data Portal database, obtain the read counts of gene expression profiles of endometrial cancer patient tumor tissue, and perform logarithmic transformation.

[0120] Step 1.2: Select miRNAs with a certain expression abundance, that is, the read counts of miRNAs in all samples are greater than or equal to 10, see formula (1) for details.

[0121] Step 1.3: Select endometrial cancer patients with disease stages I and II, see formulas (2)-(3) for details, and record these patients as early endometrial canc...

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Abstract

The invention discloses a characteristic miRNA expression profile combination and an early prediction method for uterine corpus endometrial carcinoma. Nucleotide probe sequences of miRNA are shown as SEQ ID NO.1-12. The method for evaluating the early risk of the uterine corpus endometrial carcinoma based on the miRNA expression profile combination characteristics has very high precision and accuracy (the area AUC under the ROC curve is equal to 0.994). Only the relative expression quantity of the 12 miRNAs needs to be obtained; the early disease probability of the uterine corpus endometrial carcinoma is calculated through a support vector machine model; and the early disease probability can be used as a reference basis for early prediction of the uterine corpus endometrial carcinoma.

Description

technical field [0001] The invention belongs to the fields of biotechnology and medical technology, and in particular relates to a combination of characteristic miRNA expression profiles and an early prediction method for endometrial cancer. Background technique [0002] Endometrial cancer (uterine corpus endometrial carcinoma) is a kind of epithelial malignant tumor that occurs in the endometrium, and it mainly occurs in perimenopausal and postmenopausal women. Endometrial cancer is one of the most common tumors of the female reproductive system. Its incidence is closely related to lifestyle, and its incidence varies greatly among regions. The most common symptom of endometrial cancer is postmenopausal bleeding or perimenopausal bleeding, and early diagnosis is difficult. Global Burden of Disease (GBD) data shows that in 2017, the number of people suffering from uterine cancer in the world exceeded 3 million, and the number of patients in China was about 530,000. In 2017,...

Claims

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Application Information

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IPC IPC(8): C12Q1/6886G16B25/10G16B35/00G16B5/00G16B40/00G16H50/20
CPCC12Q1/6886G16B25/10G16B35/00G16B5/00G16B40/00G16H50/20C12Q2600/158C12Q2600/178C12Q2600/112
Inventor 孙婷婷刘大海李文兴亓飞刘蕾娜
Owner FOSHAN UNIVERSITY
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