Glutamine metabolism gene tag scoring system for predicting prognosis and treatment resistance of hepatocellular carcinoma

A technology for hepatocellular carcinoma and glutamine, applied in genomics, biochemical equipment and methods, and microbial measurement/testing, can solve the problems of lack of quantification, improve prognosis, improve treatment measures, and reduce the efficacy of immunotherapy Effect

Active Publication Date: 2022-01-14
AFFILIATED HOSPITAL OF JIANGSU UNIV
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Problems solved by technology

However, comprehensive methods to quantify the activity of glutamine metabolism in the tumor microenvironment are still lacking.

Method used

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  • Glutamine metabolism gene tag scoring system for predicting prognosis and treatment resistance of hepatocellular carcinoma
  • Glutamine metabolism gene tag scoring system for predicting prognosis and treatment resistance of hepatocellular carcinoma
  • Glutamine metabolism gene tag scoring system for predicting prognosis and treatment resistance of hepatocellular carcinoma

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Embodiment example

[0054] 1. Extract the RNA components of the collected hepatocellular carcinoma tumor tissue for purification and sequencing,

[0055] Subjects: Patients from The Cancer Genome Atlas (TCGA) were screened as the training set and patients from the International Cancer Genome Consortium (ICGC) as the validation set. The following inclusion criteria were used:

[0056] (1) Sequencing data that can be used for GMScore calculation,

[0057] (2) Pathological diagnosis of HCC,

[0058] (3) No history of radiation therapy, chemotherapy, targeted therapy, immunotherapy or other anticancer drugs (including neoadjuvant therapy) in the past.

[0059] The transcriptome data and corresponding clinical information data of the training set and validation set were obtained, preprocessed, and adjusted to transcriptome data in FPKM format. An external cohort of anti-PD-1 treated melanoma (GSE78220) was used to validate the association of GMScore with immunotherapy outcome.

[0060] 2. Research...

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Abstract

The invention discloses a glutamine metabolism gene tag scoring system for predicting prognosis and treatment resistance of hepatocellular carcinoma, and belongs to the technical field of biological medicine. By detecting the expression level of seven specific glutamine metabolism related genes of a hepatocellular carcinoma patient, a model can be used for judging the total lifetime of the patient, evaluating the treatment resistance of a postoperative transcatheter arterial chemoembolism patient and evaluating the immune cell infiltration degree in a tumor and the immune escape potential of a tumor cell, and the prediction capability on the liver cancer immunotherapy reaction is improved. Meanwhile, the model provided by the invention can improve the prediction accuracy of the three-year total lifetime of hepatocellular carcinoma, and compared with the prediction of the prognosis of the patient directly through the existing next-generation sequencing technology, the number of genes needing to be detected is reduced, the efficiency is improved, and the cost is reduced. As a molecular marker capable of objectively and accurately evaluating hepatocellular carcinoma treatment resistance and tumor immune state, accurate prediction and precise implementation of hepatocellular carcinoma treatment prognosis can be realized.

Description

technical field [0001] The invention specifically relates to a glutamine metabolism gene label scoring system for predicting the prognosis and treatment resistance of hepatocellular carcinoma, which belongs to the technical field of biomedicine. Background technique [0002] Over the past decade, the treatment of HCC has made some progress. In contrast, there was no significant progress in HCC-related biomarkers in terms of prognosis prediction and treatment response. Algorithms that exist clinically include the Barcelona Clinic Liver Cancer (BCLC) system, the Japan Integrated Scoring (JIS) system, and the Hong Kong Liver Cancer (HKLC) system; and albumin -Albumin-bilirubin (ALBI) grade and BALAD score, which includes only traditional biochemical markers such as alpha-fetoprotein, serum bilirubin, and albumin. Although there is increasing evidence that novel biomarkers are closely related to HCC clinical prognosis, especially those developed by NGS, it will still take some...

Claims

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Application Information

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IPC IPC(8): C12Q1/6886G16B20/00G16B50/00
CPCC12Q1/6886G16B20/00G16B50/00C12Q2600/106C12Q2600/118
Inventor 应乐倩王德强李小琴陆懿
Owner AFFILIATED HOSPITAL OF JIANGSU UNIV
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