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Prognostic Lnc RNA (ribonucleic acid) marker used for predicting liver cancer

Inactive Publication Date: 2017-06-27
QINGDAO MEDINTELL BIOMEDICAL CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, abnormally expressed lncRNAs found in tumor tissues can involve various systems of the whole body and are widely distributed. However, due to the large number of lncRNAs, research on lncRNAs in the field of cancer is still in its infancy.

Method used

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  • Prognostic Lnc RNA (ribonucleic acid) marker used for predicting liver cancer
  • Prognostic Lnc RNA (ribonucleic acid) marker used for predicting liver cancer
  • Prognostic Lnc RNA (ribonucleic acid) marker used for predicting liver cancer

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0047] Example 1 Screening Gene Markers Related to Liver Cancer

[0048] 1. Sample

[0049] From the TCGA database, 174 liver cancer tissues and paracancerous tissues of consecutive pathologically diagnosed and surgically resected liver cancer cases were screened and randomly divided into a training group (91 cases) and a validation group (83 cases). The clinical information of the included patients included age. , gender, tumor grade, tumor stage, new tumors, and survival information.

[0050] 2. Data analysis

[0051] The lncRNA expression and survival time data were extracted, and the coxph function of the survival package was used to perform single-factor Cox regression analysis on the lncRNA data of the training group, and the p-value in the single-factor Cox regression was screened to be <0.01.

[0052] 3. Results

[0053] Through single factor Cox regression analysis, five lncRNAs related to the survival of liver cancer were screened, among which MKLN1-AS, RP11-133K1...

Embodiment 2

[0054] Example 2 Efficiency Test of RS Model in Predicting the Prognosis of Liver Cancer Patients

[0055] 1. Data analysis

[0056] The prognostic features of each screened lncRNA were analyzed by univariate Cox regression. In the training group, lncRNAs were associated with the overall survival of patients (P<0.01). The contribution of each lncRNA to survival prediction was then calculated using multivariate Cox regression in the R package. Establish a risk scoring model to assess the risk of patients, and the scores are published as follows:

[0057] Where N represents the number of lncRNAs used for prognosis prediction, Expi represents the expression level of lncRNAi, and Ci represents the regression coefficient of lncRNAi obtained from multivariate Cox regression analysis. ROC curves and AUC curves were used to determine the sensitivity and specificity of RS model predictions. Use Kaplan-Meier survival curve to analyze the difference between high-risk group and low-r...

Embodiment 3

[0069] Example 3 qPCR sequencing to verify the clinical significance of five lncRNAs in the prognosis of patients with liver cancer

[0070] 1. Sample collection

[0071] Surgical specimens of 30 patients with liver cancer were collected to archive paraffin blocks. Paracancerous tissues were taken from tissues greater than 2 cm from the edge of tumor lesions. The clinical information of patients included in specimens in the present invention included age, sex, tumor grade, tumor stage, new onset Tumor and survival information, liver cancer specimens in the present invention were obtained with the informed consent of the patient, and were approved by the organizational ethics committee.

[0072] 2. Preparation of RNA samples

[0073] Tissue RNA was extracted using QIAGEN tissue RNA extraction kit, and the operation was performed according to the specific steps in the manual.

[0074] 3. Reverse transcription:

[0075] Use 25μl reaction system, take 1μg total RNA for each sam...

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Abstract

The invention discloses a prognostic Lnc RNA (ribonucleic acid) marker used for predicting liver cancer. The lnc RNA marker is an RNA selected from one or more of MKLN1-AS, RP11-133K1.6, RP1-228H13.5, LRRC3-AS1 and AC127904.2. Meanwhile, the invention discloses a prognostic risk scoring model for predicting the liver cancer, and patients are subjected to risk assessment and monitoring according to the model serving as supplementary means to predict prognosis of the patients with liver cancer.

Description

technical field [0001] The invention belongs to the field of biomedicine, and relates to lncRNA markers for predicting the prognosis of liver cancer. Background technique [0002] Liver cancer is one of the most common malignant tumors and one of the leading causes of cancer-related death worldwide. Eighty percent of new liver cancer cases occur in developing countries, and hepatocellular carcinoma (HCC) is one of the leading causes of cancer death in China. Although local treatments such as surgery and transcatheter arterial chemoembolization can treat liver cancer, there is still a high recurrence rate in patients with liver cancer, so the improvement of survival by surgery is still very limited. At present, the early screening of serum alpha-fetoprotein (AFP) and the application of multidisciplinary comprehensive treatment have improved the five-year survival rate of liver cancer, but due to its malignant biological characteristics, its recurrence rate and mortality rema...

Claims

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Application Information

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IPC IPC(8): C12Q1/68G06F19/24
CPCC12Q1/6886C12Q2600/118C12Q2600/158C12Q2600/178G16B40/00
Inventor 杨承刚宋宏涛董东
Owner QINGDAO MEDINTELL BIOMEDICAL CO LTD
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