Liver cancer prognosis evaluation method based on tryptophan metabolism gene

A liver cancer prognosis and tryptophan technology, applied in the field of liver cancer research, can solve the problems of blindness of liver cancer, inability to individualize treatment for liver cancer patients, and inability to effectively analyze treatment data, etc., and achieve strong robustness.

Pending Publication Date: 2022-06-28
THE FIRST AFFILIATED HOSPITAL ZHEJIANG UNIV COLLEGE OF MEDICINE
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Problems solved by technology

There are many treatment methods for liver cancer, but the five-year survival rate after treatment is extremely low, only about 12%. Part of the reason is that the prognosis of liver cancer treatment methods cannot be evaluated by effective means at present, resulting in certain clinical treatment options for liver cancer. Due to the blindness of patients with liver cancer, it is impossible to provide individualized treatment for liver cancer patients, and it is also unable to effectively analyze treatment data to provide data support for optimizing clinical treatment plans for liver cancer.

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  • Liver cancer prognosis evaluation method based on tryptophan metabolism gene
  • Liver cancer prognosis evaluation method based on tryptophan metabolism gene
  • Liver cancer prognosis evaluation method based on tryptophan metabolism gene

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Embodiment Construction

[0027] The technical solutions in the embodiments of the present invention will be clearly and completely described below, obviously, the described embodiments are only some of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0028] The concrete dam crack visual interactive display method described in the present invention uses the expression levels of 10 tryptophan metabolism genes that are significantly related to the prognosis of liver cancer in the TCGA data set samples, and calculates the expression levels of each sample according to formula (1). Risk score, assess patients as high-risk group or low-risk group, and draw survival curve.

[0029] (1) Verify the prognosis prediction evaluation efficiency of the method described in this applicati...

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Abstract

The invention discloses a liver cancer prognosis evaluation method based on tryptophan metabolism genes. The method comprises the following steps: calculating a risk index of a liver cancer patient based on a formula (1); dividing a RiskScore high-risk group and a RiskScore low-risk group according to a threshold value '0', drawing a survival curve by adopting a Kaplan-Meier method, and evaluating the prognosis effect of the liver cancer; the liver cancer clinical prognosis evaluation model has the advantages that the liver cancer clinical prognosis evaluation model is constructed according to the 10 key genes of the tryptophan metabolic phenotype, and the model has high robustness, is independent of clinical pathological characteristics, can independently evaluate the prognosis condition of a liver cancer treatment means, and provides a foundation for effective analysis of treatment data. And data support is provided for optimizing a liver cancer clinical treatment scheme and formulating a personalized treatment scheme.

Description

technical field [0001] The invention relates to the field of liver cancer research, in particular to a method for evaluating the prognosis of liver cancer based on tryptophan metabolism genes. Background technique [0002] Liver cancer is a refractory malignant tumor with high heterogeneity and the highest mortality rate, and its mortality rate ranks second in cancer mortality, second only to lung cancer. There are many treatment methods for liver cancer, but the five-year survival rate after treatment is extremely low, only about 12%. Part of the reason is that the prognosis of liver cancer treatment methods cannot be evaluated by effective means at present, resulting in certain clinical treatment options for liver cancer. Due to the blindness, it is impossible to carry out personalized treatment for liver cancer patients, and it is also unable to effectively analyze treatment data to provide data support for optimizing clinical treatment plans for liver cancer. Contents ...

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Application Information

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IPC IPC(8): C12Q1/6886G16H50/30G16H70/60G16B35/20G16B25/20G16B40/00
CPCC12Q1/6886G16H50/30G16H70/60G16B35/20G16B25/20G16B40/00C12Q2600/118C12Q2600/158
Inventor 李兰娟薛晨顾心雨鹿娟
Owner THE FIRST AFFILIATED HOSPITAL ZHEJIANG UNIV COLLEGE OF MEDICINE
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