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Compound or reagent kit for predicting liver cancer prognoses

A liver cancer prognosis and composition technology, applied in the fields of predicting the prognosis of liver cancer, a composition or kit for predicting the prognosis of liver cancer, and a biomarker for predicting the prognosis of liver cancer

Inactive Publication Date: 2016-01-06
CBSBIOSCI +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although the above-mentioned proteins or some genes encoding the above-mentioned proteins have been used as prognostic markers for liver cancer in some cases, there is no case where they are used as prognostic markers for liver cancer according to stages

Method used

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  • Compound or reagent kit for predicting liver cancer prognoses
  • Compound or reagent kit for predicting liver cancer prognoses
  • Compound or reagent kit for predicting liver cancer prognoses

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0159] Example 1: Predicting the prognosis of liver cancer

[0160] The following methods have been used to discover markers that can be used to predict the prognosis of liver cancer. It has been confirmed that the use of these markers can predict the prognosis of liver cancer.

[0161] 1-1. RNA extraction and cDNA synthesis

[0162] Collect liver cancer tissues and nearby normal tissues from 547 liver cancer patients who have been diagnosed with liver cancer and confirmed the development of liver cancer. These liver cancer patients are patients who have undergone cancer hepatectomy after diagnosis but have not received other treatments, and the tissue is tissue collected and frozen before the cancer hepatectomy.

[0163] Extract RNA from each tissue and synthesize cDNA according to the following method.

[0164] According to the manufacturer's instructions, use RNeasyMinikit (Qiagen, Germany) to extract total RNA from liver cancer tissues and nearby normal tissues. The total RNA of t...

Embodiment 2

[0205] Example 2: Predicting the prognosis of liver cancer in the A1 group

[0206] The experiment was carried out in the same manner as in Example 1, except that: for the A1 group (portal vein invasion-negative patient group, stage 0 or A of the BCLC (Barcelona Clinical Liver Cancer) staging system), it has 1 size: The experiment was performed on patients (277 patients) with tumors below 5 cm or 3 tumors below 3 cm in size. A Kaplan-Meier curve was drawn to predict recurrence, survival and disease-free survival, and the results are shown in Picture 23~43 in. The Kaplan-Meier curve for recurrence is shown in Figure 23-29 , The Kaplan-Meier curve for survival is shown in Figure 30~36 , The Kaplan-Meier curve for disease-free survival is shown in Figure 37-43 in.

[0207] It can be seen from these figures that in the Kaplan-Meier curve completed for relapse, survival, and disease-free survival, the above-mentioned markers form a curve in which high expression situations and low ...

Embodiment 3

[0243] Example 3: Predicting the prognosis of liver cancer in the A2 group

[0244] The experiment was performed in the same manner as in Example 1, except that: the patients (123 patients) who were determined to belong to the A2 group {portal vein invasion-negative patient group, with tumors larger than 5 cm} were conducted to perform the experiment. Experiment in the same way as in Example 1. A Kaplan-Meier curve was drawn to predict recurrence, survival and disease-free survival, and the results are shown in Picture 44~46 in. The Kaplan-Meier curve for recurrence is shown in Figure 44~50 , The Kaplan-Meier curve for survival is shown in Picture 51~57 , The Kaplan-Meier curve for disease-free survival is shown in Fig. 58~64 in.

[0245] It can be seen from these figures that in the Kaplan-Meier curve completed for relapse, survival, and disease-free survival, the above-mentioned markers form a curve in which high expression situations and low expression situations are clearl...

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Abstract

The invention provides a compound or reagent kit for predicting liver cancer prognoses. The compound comprises nucleic acid used for specific detection of the expression level and / or expression mode of a liver cancer prognostic marker. The liver cancer prognostic marker comprises HMGB2 expressed as SEQ ID NO.16, namely high mobility group protein. By means of the compound or reagent kit, the liver cancer prognoses can be effectively obtained, and preferentially, the liver cancer prognoses are effectively obtained in different stages.

Description

[0001] This application is a divisional application, the original international application number is PCT / KR2010 / 006357, the Chinese national application number is 201080069658.8, the filing date is September 16, 2010, and the title of the invention is "composition or reagent for predicting the prognosis of liver cancer Boxes and methods for predicting the prognosis of liver cancer". Technical field [0002] The invention relates to a biomarker for predicting the prognosis of liver cancer. More specifically, the present invention relates to a composition or kit for predicting the prognosis of liver cancer and a method for predicting the prognosis of liver cancer. Background technique [0003] Liver cancer is known to be one of the deadliest cancers in the world. In particular, it is reported that at least about 500,000 people die from liver cancer each year in Asia and sub-Saharan Africa. Liver cancer can be roughly divided into hepatocellular carcinoma originating from the live...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N33/574
CPCC12Q1/6886C07K16/18C12Q2600/112C12Q2600/118C12Q2600/158G01N33/57438
Inventor 朴真永洪锡珠金种旻
Owner CBSBIOSCI
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