Exosomes as potential diagnosis and treatment for liver cancer

Liver cancer has a high incidence and a poor prognosis, which seriously affects human health. Doxorubicin is one of the chemotherapeutics used in the treatment of tumours, but its severe adverse reactions, especially cardiac toxicity, have limited its clinical application. The nanometre drug delivery system enables drug-loaded nanoparticles to be specifically concentrated in tumour tissues, increasing cell uptake and improving curative effect. Therefore, in this paper, folic acid-modified mesoporous silica nanoparticles (MSN-NH2-PEG-FA) were synthesized by modifying the folic acid on the surface of a drug carrier by using the characteristics of the expression of folic acid receptors, and using it as a drug. The carrier was loaded with antitumor drug doxorubicin hydrochloride (DOX), and a nanometre drug delivery system (MSN-NH2-PEG-FA/DOX) was constructed. At the same time, the near-infrared dye Cy5 was used to mark the mother nucleus to construct fluorescent nanoparticles (MSN-NH2-PEG-FA/DOX-Cy5) for cell and tumour imaging, so as to obtain the abdominal image of liver cancer patients, thereby realizing diagnosis and treatment. The research results show that the carrier can specifically gather in the liver area, reduce the distribution in the heart, reduce the toxic and side effects of drugs, and prolong the survival time of patients. The results of this study provide new ideas for the treatment of liver cancer, and provide a new theoretical basis and experimental basis for the study of inorganic nanomaterials as targeted drug delivery systems.

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Precision diagnosis and treatment of liver cancer in China

Cancer Letters ◽

10.1016/j.canlet.2017.10.008 ◽

2018 ◽

Vol 412 ◽

pp. 283-288 ◽

Cited By ~ 79

Author(s):

Jing Fu ◽

Hongyang Wang

Keyword(s):

Liver Cancer ◽

Diagnosis And Treatment

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Construction and clinical application of medical image three-dimensional visualization system in diagnosis and treatment of primary liver cancer

HPB ◽

10.1016/j.hpb.2016.02.497 ◽

2016 ◽

Vol 18 ◽

pp. e203

Author(s):

C.-H. Fang

Keyword(s):

Liver Cancer ◽

Clinical Application ◽

Medical Image ◽

Primary Liver Cancer ◽

Three Dimensional ◽

Diagnosis And Treatment ◽

Visualization System

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FAMILIAL INTRAHEPATIC CHOLESTASIS IN CHILDREN: PROBLEMS AND PROSPECTS

Российский педиатрический журнал ◽

10.18821/1560-9561-2019-22-6-388-394 ◽

2019 ◽

Vol 22 (6) ◽

pp. 388-394

Author(s):

Galina V. Volynets

Keyword(s):

Liver Cancer ◽

Intrahepatic Cholestasis ◽

Accurate Diagnosis ◽

Diagnosis And Treatment ◽

Liver Pathology ◽

Drug Induced ◽

Cholestatic Diseases

The review presents various aspects of the clinic and diagnosis of familial intrahepatic cholestasis (FIC) in children, including such forms of liver pathology as progressive FIC (PFIC) types 1-5; PFIC associated with mutations in the MYO5B gene; non-progressive forms of intrahepatic cholestasis (benign recurrent IC, gestational IC, drug-induced cholestasis, hypophospholipid-associated cholelithiasis and liver cancer accompanied by cholestasis). The main methods for the diagnosis and treatment of cholestatic diseases in children are described. The feasibility of using full-exomic sequencing for the accurate diagnosis of HPV in children is shown.

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Interpretation of guidelines for the diagnosis and treatment of primary liver cancer (2019 edition) in China

Global Health & Medicine ◽

10.35772/ghm.2020.01051 ◽

2020 ◽

Vol 2 (5) ◽

pp. 306-311

Author(s):

Guoteng Qiu ◽

Zhaoxing Jin ◽

Xin Chen ◽

Jiwei Huang

Keyword(s):

Liver Cancer ◽

Primary Liver Cancer ◽

Diagnosis And Treatment

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Guidelines for the Diagnosis and Treatment of Hepatocellular Carcinoma (2019 Edition)

Liver Cancer ◽

10.1159/000509424 ◽

2020 ◽

Vol 9 (6) ◽

pp. 682-720 ◽

Cited By ~ 1

Author(s):

Jian Zhou ◽

Huichuan Sun ◽

Zheng Wang ◽

Wenming Cong ◽

Jianhua Wang ◽

...

Keyword(s):

Hepatocellular Carcinoma ◽

Liver Cancer ◽

Primary Liver Cancer ◽

Diagnosis And Treatment ◽

Republic Of China ◽

High Quality Evidence ◽

New Guidelines ◽

Real World Situation ◽

Tumor Related Death ◽

Common Malignancy

Background: Primary liver cancer, around 90% are hepatocellular carcinoma in China, is the fourth most common malignancy and the second leading cause of tumor-related death, thereby posing a significant threat to the life and health of the Chinese people. Summary: Since the publication of Guidelines for Diagnosis and Treatment of Primary Liver Cancer (2017 Edition) in 2018, additional high-quality evidence has emerged with relevance to the diagnosis, staging, and treatment of liver cancer in and outside China that requires the guidelines to be updated. The new edition (2019 Edition) was written by more than 70 experts in the field of liver cancer in China. They reflect the real-world situation in China regarding diagnosing and treating liver cancer in recent years. Key Messages: Most importantly, the new guidelines were endorsed and promulgated by the Bureau of Medical Administration of the National Health Commission of the People’s Republic of China in December 2019.

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Immunotargeting in the diagnosis and treatment of liver cancer

Hepatology ◽

10.1002/hep.1840090421 ◽

1989 ◽

Vol 9 (4) ◽

pp. 646-648 ◽

Cited By ~ 1

Author(s):

Valerie Keegan-Rogers ◽

George Y. Wu

Keyword(s):

Liver Cancer ◽

Diagnosis And Treatment

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Construction of Co-Expression Modules Related to Survival by WGCNA and Identification of Potential Prognostic Biomarkers in Liver Cancer

10.21203/rs.3.rs-895710/v1 ◽

2021 ◽

Author(s):

Tian Wang ◽

Lin-li Zhang ◽

Qing-hui Feng ◽

Meng-ling Wang ◽

Yu-Chun Fan ◽

...

Keyword(s):

Liver Cancer ◽

Survival Time ◽

Cox Regression ◽

Risk Group ◽

Reduction Process ◽

High Risk Group ◽

Diagnosis And Treatment ◽

Cox Regression Analysis ◽

Gene Modules

Abstract Background Many recent studies have reported the role of WGCNA in liver cancer, and screened out modules related to the clinical characteristics of liver cancer. The prognostic role of modular genes provides a reference for the treatment of liver cancer and the study of survival time extension. MethodsUse edgeR to screen differentially expressed genes, and use weighted gene co-expression network analysis (WGCNA) method to divide differential genes into modules; combined with clinical data, select gene modules that are highly related to clinical information to construct a prognostic model. Use univariate Cox and multivariate Cox regression analysis to predict the value of prognosis. The Kaplan-Meier method and ROC curves were used to evaluate the value of features of predicting prognosis.ResultsIn the co-expression analysis of liver cancer, the two gene modules darkrey and navajowhite2 was highly correlated with the TNM stag of liver cancer. In addition, they were related to the reduction process and the activation of specific DNA-binding transcription factors. Constructing a risk ratio model with these two modules shows that the overall survival time of patients in the high-risk group is lower than that of the low-risk group. In the module, ABLIM2, RP11-109J4.1, TXNRD1, C9orf106, LINC00677, CYP11B2, AC005550.3 and MIR3945HG belong to the Hub gene, and can also be used as independent prognostic factors, which may become potential biomarkers for the diagnosis and treatment of liver cancer. Conclusion This studies identified and screened the prognostic genes RP11-109J4.1, TXNRD1, C9orf106, LINC00677, CYP11B2, AC005550.3 and MIR3945HG related to the progression of liver cancer, which can provide a reference form the diagnosis and treatment of liver cancer.

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