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A predictive system for prognostic survival of patients with intrahepatic cholangiocarcinoma

A prediction system and a technique for inner bile ducts, which are applied in the field of bioinformatics, can solve problems such as means of predicting survival periods without ideal prognosis, and achieve the effects of stable prediction, strong reliability and high accuracy.

Active Publication Date: 2021-05-18
浙江高美生物科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] At present, there is no ideal prognosis and survival prediction method in ICC clinical practice, and it is urgent to develop a comprehensive, reliable and stable prediction system for prognosis and survival of ICC patients

Method used

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  • A predictive system for prognostic survival of patients with intrahepatic cholangiocarcinoma
  • A predictive system for prognostic survival of patients with intrahepatic cholangiocarcinoma
  • A predictive system for prognostic survival of patients with intrahepatic cholangiocarcinoma

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0077]Example 1: PMS prediction system

[0078]This embodiment provides a prediction system for the prognostic survival period of ICC patient, which is asfigure 2 The prediction system shown in, and the prediction system is based only on the promoter methylation score (PMS), so the prediction system is named as the PMS prediction system.

[0079]The PMS is based on the methylation level of 24 launcane regions, which is a collection of polynucleotide sequences shown in SEQ ID NO 1.1 to SEQID No. 24, which are described in Table 1 below. Any of these 24 start sub-regions is a polynucleotide sequence of upstream 2000 bps and downstream 2000bps based on transcription start sites. Sequences of 4000 bps.

[0080]Table 1 24 related information tables for start sub-regions

[0081]

[0082]PMS prediction system predicts how ICC patient prognostic survival period includes the following steps:

[0083]S1, providing an allelic sample of the ICC patient, sequentially performing a whole genome extraction, constru...

experiment example

[0116]Experimental example: Compare PMS prediction system, WCHSU prediction system, JHUSM prediction system, EHBSH prediction system and AJCC TNM staged system

[0117]The difference between the WCHSU prediction system and the PMS prediction system is mainly: the WCHSU prediction system uses six variables, which are ascites state, tumor size, large vascular infringement, lymph node transfer state, tumor differentiation, and CA19-9 sugar resistant concentration.

[0118]The difference between the JHUSM prediction system and the PMS prediction system is mainly: the JHUSM prediction system uses six variables, age, tumor size, tumor number, lymph nodes, large vascular violation state, and cirrhosis, JHUSM prediction system Content reference:

[0119]Y Wang et al, Prognostic Nomograph for intrahepatic cholangiocarcinomaafter Partial HepatectOMY, J. Clin. Oncol. 31 (2013) 1188-1195.

[0120]The difference between the EHBSH prediction system and the PMS prediction system is mainly in that the EHBSH pr...

Embodiment 2

[0129]Example 2: WCHSU-PMS prediction system

[0130]This embodiment provides a prediction system for a prognostic survival phase of an ICC patient, adding PMS to a WCHSU prediction system as a new variable to obtain a WCHSU-PMS prediction system. WCHSU-PMS prediction system is likeimage 3 The prediction system shown in the medium has seven variables: PMS, ascites, tumor size, large vascular violation state, lymph node transfer state, tumor differentiation, and CA19-9 sugar resistant concentration.

[0131]WCHSU-PMS predictive system predicts that the method of prognostic survival of ICC patients includes the following steps:

[0132]S1, providing an ICC patient varying body sample, sequentially performing a whole genome extraction, constructing a WGBS library, WGBS sequencing, and WGBS sequencing result data processing operation, obtaining one of the 24 starter subregions of any promoter area Optical level;

[0133]S2, using equation (1) to calculate the PMS of the void sample;

[0134]S3, the PM...

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Abstract

The present application provides a prediction system for prognosis and survival of patients with intrahepatic cholangiocarcinoma, including: an acquisition module and a prediction module, and the acquisition module and the prediction module are connected in a wireless and / or wired manner. The prediction system can use the promoter methylation score as the only variable to predict the survival of patients with intrahepatic cholangiocarcinoma, and can also predict the survival of intrahepatic cholangiocarcinoma based on multiple variables including the promoter methylation score. The prognostic survival period of cancer patients has the advantages of high accuracy, strong reliability, and stable prediction.

Description

Technical field[0001]The present application relates to the field of biological information technology, and more particularly to prediction systems for prognostic survival of patients with intrahepatic cholangiocytes.Background technique[0002]Intrahepatic Cholangiocarcinoma, ICC is 4.4% to 12.0% of protagonal liver cancer, which is a second commonly visible malignant tumor in the liver itself. It has been found that for patients with surgery, complete surgery is the only opportunity for long-term survival, and in the patient selected, the total survival rate is about 25.0% to 39.8%.[0003]Due to high aggressive biological behavior, and lack of specific symptoms and signs, most ICC patients show relatively advanced diseases during initial diagnosis, therefore, only a few ICC patients have the opportunity to surgically resection, and then survive for a long time. However, there is a treatment for therapeutic effects (such as liver transplantation, liver except, radiofrequency ablation,...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G16H50/30G16H50/70C12Q1/6886
CPCC12Q1/6886C12Q2600/118C12Q2600/154G16H50/30G16H50/70
Inventor 孙德强
Owner 浙江高美生物科技有限公司
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