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Kit for predicting prognosis of drug-loaded microsphere chemoembolization treatment of liver cancer

A kit and drug-carrying technology, applied in the field of medicine and biology, can solve the problem of not establishing a nomogram model for prognosis prediction, and achieve the effect of small difference between the predicted value and the actual value and high consistency

Active Publication Date: 2021-07-20
THE FIRST AFFILIATED HOSPITAL OF ZHENGZHOU UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, up to now, nomogram model for prognostic prediction of HCC treated with DEB-TACE has not been established at home and abroad.

Method used

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  • Kit for predicting prognosis of drug-loaded microsphere chemoembolization treatment of liver cancer
  • Kit for predicting prognosis of drug-loaded microsphere chemoembolization treatment of liver cancer
  • Kit for predicting prognosis of drug-loaded microsphere chemoembolization treatment of liver cancer

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0089] Embodiment 1: sample collection and sample processing

[0090] (1) A total of 302 HCC patients who were unwilling or unable to undergo surgical resection in the First Affiliated Hospital of Zhengzhou University from June 2016 to May 2020 received DEB-TACE as initial treatment were included. Inclusion criteria were: 1) age > 18 years; 2) liver function Child-Pugh A or B grade; 3) Eastern Cooperative Oncology Group (ECOG) score 0-2 points; HCC that is willing or unresectable and has at least one measurable lesion; 5) has not received other treatments such as surgery, cTACE, ablation or targeted drugs; 6) DEB-TACE is the initial treatment. Exclusion criteria: 1) Child-Pugh C grade of liver function; 2) ECOG score 3-4 points; 3) invasion of hepatic vein or inferior vena cava; 4) complete obstruction of main portal vein; 5) suffering from other malignant tumors; 6) Incomplete clinical or follow-up data; 7) Severe heart, liver and kidney dysfunction, abnormal coagulation fun...

Embodiment 2

[0097] Example 2: Screening of independent factors associated with survival after DEB-TACE in patients with liver cancer

[0098] (1) Univariate Cox regression analysis was used to analyze the clinical factors that may be related to the survival of patients with liver cancer after DEB-TACE:

[0099] In the modeling group, SPSS 21.0 statistical software was used to conduct univariate Cox regression analysis on the clinical factors that may be related to the survival of patients with liver cancer after DEB-TACE, and to evaluate the prognostic value of clinical factors on the survival of patients with liver cancer after DEB-TACE . Through single factor Cox regression analysis, it was found that aspartate aminotransferase, glutamyl transpeptidase, alkaline phosphatase, alpha-fetoprotein expression, bilirubin, ascites, tumor diameter, tumor number, proportion of tumor to liver, presence or absence Tumor capsule, presence or absence of portal vein invasion, presence or absence of d...

Embodiment 3

[0110] Example 3: Establishment of a survival prediction model for patients with liver cancer after DEB-TACE

[0111] The independent prognostic factors related to the survival of patients with liver cancer after DEB-TACE obtained by multivariate Cox regression analysis were assigned, and the assigned values ​​are shown in Table 3.

[0112] Table 3 Assignment of independent prognostic factors related to survival after DEB-TACE in patients with liver cancer

[0113] variable assignment distant metastasis With distant metastasis = 1, without distant metastasis = 0 ALRI ≤40＝0，＞40＝1 Child-Pugh classification A=0, B=1 tumor diameter ≤5cm=0, >5cm=1 tumor to liver ratio ≤1 / 2＝0，＞1 / 2＝1 portal vein invasion no=0, yes=1 Alpha-fetoprotein expression ≤400ng / mL=0, >400ng / mL=1

[0114]According to the results of multivariate Cox regression analysis, the risk function expression of each factor was established with the β value of t...

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Abstract

The invention belongs to the technical field of medical biology, and particularly discloses a kit for predicting prognosis of drug-loaded microsphere chemoembolization treatment of liver cancer, and the kit comprises reagents and / or instruments for detecting the alpha fetoprotein expression quantity, ALRI, the tumor diameter, Child-Pugh grading, proportion of tumor in liver, a portal vein invasion state and a tumor remote metastasis state. The kit disclosed by the invention can be used for predicting the lifetime of the liver cancer patient after DEB-TACE treatment according to clinical indexes of the liver cancer patient before DEB-TACE treatment and evaluating DEB-TACE treatment prognosis of the liver cancer patient, so that an interventional doctor can screen patient crowds suitable for DEB-TACE treatment before an operation; and clinical doctors can accurately evaluate the prognosis of the patient conveniently, and an individualized follow-up visit scheme can be made according to the expected lifetime.

Description

technical field [0001] The invention belongs to the technical field of medicine and biology, and in particular relates to a kit for predicting the prognosis of liver cancer treated with drug-loaded microsphere chemoembolization. Background technique [0002] According to the 2020 Global Cancer Statistics Report, primary liver cancer is one of the most common malignant tumors and has become the third leading cause of tumor-related death worldwide, among which hepatocellular carcinoma (HCC) is the most common pathological type. The onset of HCC is insidious, and most patients are already in the middle and advanced stages when they are diagnosed, losing the chance of radical surgery. For these patients, transarterial chemoembolization (TACE) is recognized as the most effective treatment. In recent years, due to the advantages of drug-eluting beads (DEB) that can be loaded with chemotherapeutic drugs and localized sustained and slow release in the tumor, drug-eluting beads chem...

Claims

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Application Information

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IPC IPC(8): G01N33/15G01N33/574
CPCG01N33/15G01N33/57438G01N33/57476
Inventor 李臻纪坤张玉元李鑫吴阳葛鹏磊谢滢滢詹鹏超石洋余鹏王玲
Owner THE FIRST AFFILIATED HOSPITAL OF ZHENGZHOU UNIV
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